Journal Description
Journal of Personalized Medicine
Journal of Personalized Medicine
is an international, peer-reviewed, open access journal on personalized medicine, published monthly online by MDPI. The Inter-American Society for Minimally Invasive Spine Surgery (SICCMI), Korean Society of Brain Neuromodulation Therapy (KBNT) and American Board of Precision Medicine (ABOPM) are affiliated with JPM, and their members receive a discount on article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, PubMed, PMC, Embase, and other databases.
- Journal Rank: CiteScore - Q1 (Medicine (miscellaneous))
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 21.5 days after submission; acceptance to publication is undertaken in 3.5 days (median values for papers published in this journal in the first half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
Latest Articles
The Role of Neutrophil-to-Lymphocyte Ratio as a Predictor of Orchiectomy or Testicular Atrophy After Torsion in Children: A Multicentric Study
J. Pers. Med. 2025, 15(7), 310; https://doi.org/10.3390/jpm15070310 (registering DOI) - 13 Jul 2025
Abstract
Introduction: Neutrophil-to-lymphocyte ratio (NLR) is an inflammatory biomarker (hemogram-derived-ratio) related to ischemic-inflammatory diseases. Its usefulness in the diagnosis of pediatric testicular torsion (TT) has recently been reported, although its prognostic implication has not been evaluated. Our aim is to analyze the role
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Introduction: Neutrophil-to-lymphocyte ratio (NLR) is an inflammatory biomarker (hemogram-derived-ratio) related to ischemic-inflammatory diseases. Its usefulness in the diagnosis of pediatric testicular torsion (TT) has recently been reported, although its prognostic implication has not been evaluated. Our aim is to analyze the role of NLR in the evolution of TT in children, determining its potential for predicting the risk of adverse outcomes such as orchiectomy or testicular atrophy. Methods: We performed a retrospective multicentric case-control study in patients with clinical and ultrasound suspicion of TT, in whom surgical testicular examination was performed between 2016–2022 in seven pediatric hospitals. Patients’ outcomes were analyzed according to the intraoperative and postoperative evolution (orchiectomy/testicular atrophy or not). Demographics and clinical, ultrasound and laboratory features at admission were analyzed. Sensitivity and specificity were determined by the area under the curve (AUC) represented on the receiver operating characteristic (ROC) curves. Results: A total of 455 patients (median age 13.2 years; interquartile range 10.6–14.4 years) were included, in whom 87 orchiectomies (19.1%) were performed and 34 cases of testicular atrophy (7.5%) were observed during follow-up (median follow-up: 10 months). When comparing clinical, ultrasound and laboratory predictors of both events on ROC curves, NLR was the most sensitive and specific parameter for predicting orchiectomy (AUC = 0.834; p < 0.001), as well as testicular atrophy (AUC = 0.849; p < 0.001). Compared with other parameters, the designed cut-off point of NLR = 5.2 had maximum sensitivity and specificity (82.2% and 77.0%, respectively) for predicting orchiectomy or atrophy after testicular torsion. Conclusions: NLR may be considered the best predictor for the risk of orchiectomy or testicular atrophy following torsion in pediatric patients, helping the identification of high-risk cases. It can be useful both for obtaining more accurate preoperative information on patient prognosis and for closer follow-up of high-risk testicular atrophy patients.
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(This article belongs to the Special Issue Personalized Diagnosis and Treatment of Urological Diseases)
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Open AccessReview
Updated Insights into the Molecular Pathophysiology of Olfactory Neuroblastoma Using Multi-Omics Analysis
by
Enes Demir, Deondra Montgomery, Varun Naravetla and Michael Karsy
J. Pers. Med. 2025, 15(7), 309; https://doi.org/10.3390/jpm15070309 (registering DOI) - 13 Jul 2025
Abstract
Background/Objectives: Olfactory neuroblastoma (ONB), also known as esthesioneuroblastoma, is a rare neuroectodermal malignancy of the nasal cavity characterized by aggressive local invasion and variable metastatic potential, with diverse clinical behavior, often presenting at advanced stages. ONB poses challenges for targeted therapeutic strategies,
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Background/Objectives: Olfactory neuroblastoma (ONB), also known as esthesioneuroblastoma, is a rare neuroectodermal malignancy of the nasal cavity characterized by aggressive local invasion and variable metastatic potential, with diverse clinical behavior, often presenting at advanced stages. ONB poses challenges for targeted therapeutic strategies, despite advances in surgical and multimodal treatment strategies, because of the rarity of this disease and the limited understanding of its molecular pathophysiology. Methods: A comprehensive review of genomic, multi-omic, and molecular studies was performed to integrate known targeted sites in ONB with the current understanding of its pathophysiology. Results: Recent genetic and molecular studies have identified significant epigenetic and signaling pathway alterations that are critical in pathogenesis and treatment resistance and may serve as potential therapeutic targets. Additionally, novel discovered immunohistochemical and transcriptomic markers, such as IDH2, NEUROD1, and OTX2, offer improved diagnostic specificity and prognostication. Multi-genomic platforms (i.e., multi-omics), involving the combined integration of transcriptomics, epigenetics, and proteomics findings, have led to several recent insights, including the subclassification of neural and basal genomic subtypes, the identification of key driver mutations, and new insights into disease development. This review synthesizes current knowledge on the molecular landscape of ONB, including its tumor origin, immune microenvironment, genetic alterations, and key molecular pathways involved in its pathogenesis. Conclusions: Future research may benefit from integrating these findings into precision medicine approaches, enabling earlier diagnosis and more accurate prognosis.
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(This article belongs to the Section Mechanisms of Diseases)
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Open AccessArticle
An Artificial Intelligence-Based Model to Predict Pregnancy After Intrauterine Insemination: A Retrospective Analysis of 9501 Cycles
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Jaume Minano Masip, Camille Grysole, Penelope Borduas, Isaac-Jacques Kadoch, Simon Phillips, Doina Precup and Daniel Dufort
J. Pers. Med. 2025, 15(7), 308; https://doi.org/10.3390/jpm15070308 (registering DOI) - 12 Jul 2025
Abstract
Background/Objectives: Intrauterine insemination (IUI) is a common first-line approach in the treatment of numerous infertile couples, especially in cases of unexplained infertility. Its relatively low success rate, however, could benefit from the development of AI-based support tools to predict its outcome, thus helping
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Background/Objectives: Intrauterine insemination (IUI) is a common first-line approach in the treatment of numerous infertile couples, especially in cases of unexplained infertility. Its relatively low success rate, however, could benefit from the development of AI-based support tools to predict its outcome, thus helping the clinical management of patients undergoing IUI cycles. Our objective was to develop a robust and accurate machine learning model that predicts pregnancy outcomes following IUI. Methods: A retrospective, observational, and single-center study was conducted. In total, 3535 couples (aged 18–43 years) that underwent IUI between January 2011 and December 2015 were recruited. Twenty-one clinical and laboratory parameters of 9501 IUI cycles were used to train different machine learning algorithms. Accuracy of pregnancy outcome was evaluated by an area under the curve (AUC) analysis. Results: The linear SVM outperformed AdaBoost, Kernel SVM, Random Forest, Extreme Forest, Bagging, and Voting classifiers. Pre-wash sperm concentration, the ovarian stimulation protocol, cycle length, and maternal age were strong predictors of a positive pregnancy test following IUI (AUC = 0.78). Paternal age was found to be the worst predictor. Conclusions: Our Linear SVM model predicts a positive pregnancy outcome following IUI. Although this model shows value for the clinical management of infertile patients and informed decision-making by the patients, further validation using independent datasets is required prior to clinical implementation.
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(This article belongs to the Section Omics/Informatics)
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Open AccessArticle
A Value Framework for Evaluating Population Genomic Programs: A Mixed Methods Approach
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David Campbell, Scott Spencer, Ashley Kang, Rajshree Pandey, Sarah Katsandres and David Veenstra
J. Pers. Med. 2025, 15(7), 307; https://doi.org/10.3390/jpm15070307 (registering DOI) - 12 Jul 2025
Abstract
Background/Objectives: Value frameworks are useful tools to explicitly define the dimensions and criteria important for decision-making, but no existing frameworks capture the broad value domains of population genomic programs. Using a mixed methods approach, we aimed to develop a novel value framework
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Background/Objectives: Value frameworks are useful tools to explicitly define the dimensions and criteria important for decision-making, but no existing frameworks capture the broad value domains of population genomic programs. Using a mixed methods approach, we aimed to develop a novel value framework for evaluating population genomic programs (PGPs). Methods: We first conducted a targeted literature review of published evidence on the value of PGPs and existing frameworks to evaluate and quantify their impact. Value domains and elements were extracted and summarized to develop a preliminary framework. Semi-structured stakeholder interviews on the preliminary framework were conducted from March 2024 to October 2024 with 11 experts representing 9 countries. A thematic analysis of interview transcripts was conducted to map value elements to domains of the final framework. Results: We identified 348 potentially relevant articles from MEDLINE-indexed and the gray literature sources. After title and abstract screening, 23 articles met the inclusion criteria and underwent full-text review, and 8 reported value elements were extracted and mapped to a preliminary framework for testing in interviews. Stakeholder themes were summarized into the value domains and elements of the final framework, which included health as a primary domain, education and research, enterprise and finance, and labor as the core domains, and agriculture and security as extended domains. Domains and elements may be excluded based on stakeholder objectives and program characteristics. Conclusions: This novel framework for assessing the comprehensive value of PGPs provides a foundational step to assess the value of these programs and may promote more efficient and informed allocation of resources.
Full article
(This article belongs to the Section Omics/Informatics)
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Open AccessArticle
The Anesthesiologic Impact of Single-Port Robot-Assisted Partial Nephrectomy: A Tertiary Referral Comparative Analysis Between Full-Flank Transperitoneal, Retroperitoneal, and Supine Lower Anterior Access (LAA)
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Luca Lambertini, Matteo Pacini, Paolo Polverino, Nikki R. Wilkinson, Ruben Sauer Calvo, Donato Cannoletta, Antony Angelo Pellegrino, Greta Pettenuzzo, Fabrizio Di Maida, Andrea Mari, Gabriele Bignante, Francesco Lasorsa, Alessandro Zucchi, Sergio Serni, Andrea Minervini, David B. Glick and Simone Crivellaro
J. Pers. Med. 2025, 15(7), 306; https://doi.org/10.3390/jpm15070306 - 11 Jul 2025
Abstract
Objective: To explore the impact of supine retroperitoneal single-port robot-assisted partial nephrectomy with lower anterior access on perioperative ventilatory, cardiovascular, and pain-related outcomes compared to a cohort of patients treated with single-port robot-assisted retroperitoneal or transperitoneal partial nephrectomy with standard flank patient positioning.
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Objective: To explore the impact of supine retroperitoneal single-port robot-assisted partial nephrectomy with lower anterior access on perioperative ventilatory, cardiovascular, and pain-related outcomes compared to a cohort of patients treated with single-port robot-assisted retroperitoneal or transperitoneal partial nephrectomy with standard flank patient positioning. Materials and Methods: Clinical and surgical data of all consecutive patients treated with single-port robot-assisted partial nephrectomy between March 2019 and January 2024 were prospectively collected and retrospectively analyzed. Specific same-day-discharge guidelines were applied to all cases. Failed same-day discharge was defined as the presence of early (<90 days) perioperative complications or the absence of opioid-free postoperative recovery. Results: Overall, 105 consecutive patients treated with single-port robot-assisted partial nephrectomy were analyzed. No differences emerged in baseline features. Peak inspiratory pressure and plateau pressure changes were significantly lower in the supine retroperitoneal lower anterior access group from the time of CO2 insufflation throughout every 30-min operative setpoint assessment (p = 0.02, p = 0.03, and p = 0.02, respectively). The transperitoneal group showed significantly higher values of mean, systolic, and diastolic blood pressure compared to retroperitoneal approaches. The supine lower anterior access group also showed significantly lower non-surgical operative room time, perioperative opioid administration, and postoperative median VAS pain score. Conclusions: The adoption of supine lower anterior access improved perioperative ventilatory, cardiovascular, and pain-related outcomes, also optimizing operating room efficiency. Further multicenter series with longer follow-ups are still needed to validate our preliminary results.
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(This article belongs to the Special Issue Targeted Surgery and Artificial Intelligence in Personalized Medicine and Robotic Surgery: Current Challenges and Future Prospects)
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Open AccessArticle
Serum Uric Acid Level as an Estimated Parameter That Predicts All-Cause Mortality in Patients with Hemodialysis
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Sheng-Wen Niu, I-Ching Kuo, Yen-Yi Zhen, Eddy Essen Chang, Li-Yun Chang, Chung-Ting Cheng, Hugo You-Hsien Lin, Yi-Wen Chiu, Jer-Ming Chang, Shang-Jyh Hwang and Chi-Chih Hung
J. Pers. Med. 2025, 15(7), 305; https://doi.org/10.3390/jpm15070305 - 11 Jul 2025
Abstract
Background: Serum uric acid (UA) in end-stage kidney disease (ESKD) patients serves as a critical indicator for nutrition and inflammation, showing a U-shaped association with all-cause mortality. Methods: Our study assessed UA’s survival predictive value in 2615 ESKD patients, stratified by
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Background: Serum uric acid (UA) in end-stage kidney disease (ESKD) patients serves as a critical indicator for nutrition and inflammation, showing a U-shaped association with all-cause mortality. Methods: Our study assessed UA’s survival predictive value in 2615 ESKD patients, stratified by the Charlson Comorbidity Index (CCI) into groups of <4 (n = 1107) and ≥4 (n = 1508). Results: Cox regression revealed distinct patterns. For ESKD patients with CCI < 4, UA levels > 8.6 mg/dL were a mortality risk factor (HR: 1.61, 95% CI: 1.01–2.38) compared to 7.1–7.7 mg/dL. Conversely, in patients with CCI ≥ 4, UA levels < 5.8 mg/dL were a mortality risk factor (HR: 1.53, 95% CI: 1.20–1.95) compared to >8.6 mg/dL. Conclusions: Higher serum UA in ESKD patients with high comorbidities (CCI ≥ 4) is not a risk factor. Low UA should be prevented across all ESKD patients. A personalized approach using CCI and corresponding serum UA levels offers a key reference for managing UA in hemodialysis patients.
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(This article belongs to the Special Issue Clinical Advances in Diagnosis and Personalized Treatments of Chronic Kidney Diseases)
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Open AccessReview
Zebrafish as a Model for Translational Immuno-Oncology
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Gabriela Rodrigues Barbosa, Augusto Monteiro de Souza, Priscila Fernandes Silva, Caroline Santarosa Fávero, José Leonardo de Oliveira, Hernandes F. Carvalho, Ana Carolina Luchiari and Leonardo O. Reis
J. Pers. Med. 2025, 15(7), 304; https://doi.org/10.3390/jpm15070304 - 11 Jul 2025
Abstract
Despite remarkable progress in cancer immunotherapy, many agents that show efficacy in murine or in vitro models fail to translate clinically. Zebrafish (Danio rerio) have emerged as a powerful complementary model that addresses several limitations of traditional systems. Their optical transparency,
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Despite remarkable progress in cancer immunotherapy, many agents that show efficacy in murine or in vitro models fail to translate clinically. Zebrafish (Danio rerio) have emerged as a powerful complementary model that addresses several limitations of traditional systems. Their optical transparency, genetic tractability, and conserved immune and oncogenic signaling pathways enable high-resolution, real-time imaging of tumor–immune interactions in vivo. Importantly, zebrafish offer a unique opportunity to study the core mechanisms of health and sickness, complementing other models and expanding our understanding of fundamental processes in vivo. This review provides an overview of zebrafish immune system development, highlighting tools for tracking innate and adaptive responses. We discuss their application in modeling immune evasion, checkpoint molecule expression, and tumor microenvironment dynamics using transgenic and xenograft approaches. Platforms for high-throughput drug screening and personalized therapy assessment using patient-derived xenografts (“zAvatars”) are evaluated, alongside limitations, such as temperature sensitivity, immature adaptive immunity in larvae, and interspecies differences in immune responses, tumor complexity, and pharmacokinetics. Emerging frontiers include humanized zebrafish, testing of next-generation immunotherapies, such as CAR T/CAR NK and novel checkpoint inhibitors (LAG-3, TIM-3, and TIGIT). We conclude by outlining the key challenges and future opportunities for integrating zebrafish into the immuno-oncology pipeline to accelerate clinical translation.
Full article
(This article belongs to the Special Issue Advances in Animal Models and Precision Medicine for Cancer Research)
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Open AccessArticle
The Association Between Childhood Trauma, Emotional Dysregulation, and Depressive Symptoms’ Severity in Patients with Obesity Seeking Bariatric Surgery
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Marco Di Nicola, Maria Rosaria Magurano, Maria Pepe, Amerigo Iaconelli, Lorenzo Moccia, Alessandro Michele Giannico, Caterina Guidone, Geltrude Mingrone, Laura Antonella Fernandez Tayupanta, Angela Gonsalez Del Castillo, Edoardo Zompanti, Luigi Ciccoritti, Piero Giustacchini, Francesco Greco, Daniela Pia Rosaria Chieffo, Gabriele Sani and Marco Raffaelli
J. Pers. Med. 2025, 15(7), 303; https://doi.org/10.3390/jpm15070303 - 11 Jul 2025
Abstract
Background: Patients with obesity seeking bariatric surgery often display high rates of depressive symptoms, which are linked to worse clinical and surgical outcomes. A comprehensive evaluation of depression-related features in this population is lacking. Therefore, this study investigated clinical and psychopathological factors associated
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Background: Patients with obesity seeking bariatric surgery often display high rates of depressive symptoms, which are linked to worse clinical and surgical outcomes. A comprehensive evaluation of depression-related features in this population is lacking. Therefore, this study investigated clinical and psychopathological factors associated with depressive symptoms’ severity in 946 outpatients with obesity undergoing pre-surgical evaluation. Methods: The sample (45.1 ± 12 years) was subdivided according to Patient Health Questionnaire-9 (PHQ-9) into ‘absent’, ‘mild’, and ‘moderate-to-severe depression’ groups, which were compared for sociodemographic characteristics, childhood trauma, and emotional dysregulation. Assessments included the Childhood Trauma Questionnaire-Short-Form (CTQ-SF) and Difficulties in Emotion Regulation Scales (DERS). Inflammatory levels were evaluated through the Systemic Immune-inflammatory Index (SII). Multinomial logistic regression and correlations were performed to evaluate predictors of depression severity and their interrelationship. Results: Beyond sociodemographic and clinical differences, patients with moderate-to-severe depression displayed higher childhood trauma, emotional dysregulation, and inflammatory levels. Logistic regression with 95% confidence intervals showed that higher CTQ-SF scores were significantly associated with moderate-to-severe vs. absent depression (p = 0.005, 95% CI: 1.02–1.09), while elevated DERS scores were a risk factor for both moderate-to-severe vs. mild (p < 0.001, 95% CI: 1.04–1.11) and vs. absent depression (p < 0.001, 95% CI: 1.11–1.18). Additionally, PHQ-9 was significantly correlated with CTQ-SF, DERS, and SII. Conclusions: A worse clinical picture was observed in patients with moderate-to-severe depression, and significant interactions were found between psychopathology and inflammatory indexes. Emotional dysregulation was primarily associated with depression severity. These preliminary results support the implementation of rigorous pre-operative screening to identify and deliver targeted psychotherapeutic/pharmacological interventions aimed at improving clinical and post-surgical outcomes.
Full article
(This article belongs to the Section Personalized Therapy and Drug Delivery)
Open AccessSystematic Review
Artificial Intelligence in Risk Stratification and Outcome Prediction for Transcatheter Aortic Valve Replacement: A Systematic Review and Meta-Analysis
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Shayan Shojaei, Asma Mousavi, Sina Kazemian, Shiva Armani, Saba Maleki, Parisa Fallahtafti, Farzin Tahmasbi Arashlow, Yasaman Daryabari, Mohammadreza Naderian, Mohamad Alkhouli, Jamal S. Rana, Mehdi Mehrani, Yaser Jenab and Kaveh Hosseini
J. Pers. Med. 2025, 15(7), 302; https://doi.org/10.3390/jpm15070302 - 11 Jul 2025
Abstract
Background/Objectives: Transcatheter aortic valve replacement (TAVR) has been introduced as an optimal treatment for patients with severe aortic stenosis, offering a minimally invasive alternative to surgical aortic valve replacement. Predicting these outcomes following TAVR is crucial. Artificial intelligence (AI) has emerged as a
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Background/Objectives: Transcatheter aortic valve replacement (TAVR) has been introduced as an optimal treatment for patients with severe aortic stenosis, offering a minimally invasive alternative to surgical aortic valve replacement. Predicting these outcomes following TAVR is crucial. Artificial intelligence (AI) has emerged as a promising tool for improving post-TAVR outcome prediction. In this systematic review and meta-analysis, we aim to summarize the current evidence on utilizing AI in predicting post-TAVR outcomes. Methods: A comprehensive search was conducted to evaluate the studies focused on TAVR that applied AI methods for risk stratification. We assessed various ML algorithms, including random forests, neural networks, extreme gradient boosting, and support vector machines. Model performance metrics—recall, area under the curve (AUC), and accuracy—were collected with 95% confidence intervals (CIs). A random-effects meta-analysis was conducted to pool effect estimates. Results: We included 43 studies evaluating 366,269 patients (mean age 80 ± 8.25; 52.9% men) following TAVR. Meta-analyses for AI model performances demonstrated the following results: all-cause mortality (AUC = 0.78 (0.74–0.82), accuracy = 0.81 (0.69–0.89), and recall = 0.90 (0.70–0.97); permanent pacemaker implantation or new left bundle branch block (AUC = 0.75 (0.68–0.82), accuracy = 0.73 (0.59–0.84), and recall = 0.87 (0.50–0.98)); valve-related dysfunction (AUC = 0.73 (0.62–0.84), accuracy = 0.79 (0.57–0.91), and recall = 0.54 (0.26–0.80)); and major adverse cardiovascular events (AUC = 0.79 (0.67–0.92)). Subgroup analyses based on the model development approaches indicated that models incorporating baseline clinical data, imaging, and biomarker information enhanced predictive performance. Conclusions: AI-based risk prediction for TAVR complications has demonstrated promising performance. However, it is necessary to evaluate the efficiency of the aforementioned models in external validation datasets.
Full article
(This article belongs to the Special Issue Artificial Intelligence in Diagnosis, Treatment and Prognosis of Cardiovascular Diseases)
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Open AccessArticle
Effect of Prior Laser-Assisted In Situ Keratomileusis on the Calibration Accuracy of Extended Depth of Focus Intraocular Lenses: A Direct Comparative Study
by
I-Hung Lin, Chen-Cheng Chao and Chao-Kai Chang
J. Pers. Med. 2025, 15(7), 301; https://doi.org/10.3390/jpm15070301 - 10 Jul 2025
Abstract
Background: Personalized precision medicine has become a prevailing trend and applies to the selection of intraocular lenses (IOLs) for cataract surgery based on the unique corneal morphology of each person. The choice of presbyopia-correcting IOLs for post-laser-assisted in situ keratomileusis (LASIK) cataract surgery
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Background: Personalized precision medicine has become a prevailing trend and applies to the selection of intraocular lenses (IOLs) for cataract surgery based on the unique corneal morphology of each person. The choice of presbyopia-correcting IOLs for post-laser-assisted in situ keratomileusis (LASIK) cataract surgery is a significant concern. However, few direct comparison studies exist between eyes with and without LASIK history. We analyzed the performance of extended depth of focus (EDOF) IOL implantation in these two groups. Methods: In this retrospective single-center study, we included patients with or without previous LASIK who underwent cataract surgery and EDOF Symfony IOL implantation, with ≥1 follow up. All patients underwent optical biometry using the IOLMaster. IOL power was calculated using the Sanders Retzslaff Kraff/theoretical and Haigis-L formulas for patients without and with LASIK, respectively. Uncorrected distance visual acuity (UDVA), uncorrected near visual acuity (UNVA), refraction, and corneal tomography were recorded. The prediction error was the absolute difference between the postoperative sphere and target refraction. The right eyes of patients who met the inclusion criteria were selected for analysis. Results: Among the 321 recruited eyes, 18 underwent previous LASIK. After 1:3 age/sex matching, 17 LASIK and 49 non-LASIK eyes from 66 patients were analyzed. No significant preoperative differences existed in target refraction, spherical equivalent, or best-corrected visual acuity. All surgical procedures were uneventful. LASIK exhibited non-inferiority to non-LASIK for predictive refraction error and UNVA. An age/sex-matched regression analysis indicated no UDVA superiority between the two groups. Conclusions: Previous LASIK may have no discernible effect on the visual performance of presbyopia-correcting EDOF IOLs with respect to the absolute refractive error, UNVA, and UDVA. Longer follow-up and larger-scale studies are required to further validate these results.
Full article
(This article belongs to the Special Issue New Advances and Perspectives in Ophthalmology: Progress and Modern Challenges)
Open AccessArticle
Evaluating the Long-Term Impact of Cytoreductive Surgery for Gastric Cancer with Peritoneal Metastasis: Are We on the Right Path?
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Cecilia Orsini, Matteo Aulicino, Giorgio D’Annibale, Marianna Cantelmo, Sara Totaro Aprile, Paolo Catania, Lorenzo Barberis, Federica Ferracci, Miriam Attalla El Halabieh, Carlo Abatini, Claudio Lodoli, Andrea Di Giorgio, Antonia Strippoli, Fabio Pacelli and Francesco Santullo
J. Pers. Med. 2025, 15(7), 300; https://doi.org/10.3390/jpm15070300 - 10 Jul 2025
Abstract
Background: Peritoneal metastases from gastric cancer (GCPM) represent a significant clinical challenge in terms of therapeutic options and prognosis. Cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) has demonstrated promising survival benefits within a multimodal approach, particularly in carefully selected patients. Methods:
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Background: Peritoneal metastases from gastric cancer (GCPM) represent a significant clinical challenge in terms of therapeutic options and prognosis. Cytoreductive surgery (CRS) combined with hyperthermic intraperitoneal chemotherapy (HIPEC) has demonstrated promising survival benefits within a multimodal approach, particularly in carefully selected patients. Methods: This retrospective single-center study evaluated outcomes in patients with synchronous GCPM treated with CRS + HIPEC following neoadjuvant chemotherapy. The primary endpoints included overall survival (OS), disease-free survival (DFS), and identification of prognostic factors associated with poor outcomes. Additionally, we sought to characterize patients achieving long-term survival (OS ≥ 24 months). Results: The median OS and DFS were 18 and 13 months, respectively. A peritoneal cancer index (PCI) ≥ 7 and major postoperative complications were independently associated with reduced survival. Recurrence was significantly linked to PCI ≥ 7 and signet ring cell histology. Stratification by survival outcome identified PCI ≥ 7 as the only statistically significant variable differentiating average- and long-survival groups. Moreover, elevated PCI was independently associated with a higher incidence of major postoperative complications. Conclusions: CRS + HIPEC may offer a survival advantage over the use of systemic therapy exclusively in appropriately selected patients, particularly those with limited peritoneal disease burden. These results underscore the importance of accurate patient selection to balance surgical risks and maximize oncological benefits in the treatment of GCPM.
Full article
(This article belongs to the Special Issue Personalized Therapeutic Strategies in Gastrointestinal Surgery)
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Open AccessArticle
Incidence and Predictors of Pulmonary Thromboembolism in Patients with Advanced High-Grade Serous Ovarian Cancer Undergoing Surgical Treatment: A Retrospective Cohort Study
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Vito Andrea Capozzi, Michela Gaiano, Isabella Rotondella, Martina Leotta, Asya Gallinelli, Licia Roberto, Elisa Scarpelli, Carla Merisio and Roberto Berretta
J. Pers. Med. 2025, 15(7), 299; https://doi.org/10.3390/jpm15070299 - 9 Jul 2025
Abstract
Background/Objectives: Patients with advanced ovarian cancer face a high risk of venous thromboembolism (VTE). This study evaluates the incidence and risk factors for pulmonary thromboembolism (PE) in patients with advanced high-grade serous ovarian carcinoma (HGSOC) undergoing primary treatment, with a focus on
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Background/Objectives: Patients with advanced ovarian cancer face a high risk of venous thromboembolism (VTE). This study evaluates the incidence and risk factors for pulmonary thromboembolism (PE) in patients with advanced high-grade serous ovarian carcinoma (HGSOC) undergoing primary treatment, with a focus on personalized risk stratification. Methods: A retrospective analysis was conducted on women with FIGO stage IIIA-IVB HGSOC treated at the University Hospital of Parma between January 2012 and May 2023. All patients underwent CT-based staging prior to primary treatment. When resectability was uncertain, diagnostic laparoscopy and the Fagotti score were performed. Based on cytoreductive potential, patients received either primary debulking surgery (PDS) followed by adjuvant chemotherapy (AC) or neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) and AC. The Khorana score, a thromboembolic risk model, was calculated prior to chemotherapy. Logistic regression was used to assess the association between baseline characteristics and PE. Results: Among 167 HGSOC patients analyzed, 13 (7.8%) experienced PE. Among the 115 patients undergoing diagnostic laparoscopy, each 2-point increase in the Fagotti score above 8 raised PE risk by 76% (OR 1.76, p = 0.006, 95% CI: 1.17–2.63). Patients undergoing NACT-IDS had a significantly higher risk of PE (OR 4.04, 95% CI: 1.19–13.74, p = 0.02) than patients who underwent PDS. A Khorana score of 3 was an independent predictor of PE (OR 37.66, 95% CI: 2.43–582.36, p = 0.009). Conclusions: Based on our results, NACT followed by IDS or a Fagotti score greater than 8 were associated with increased PE risk in HGSOC patients. Khorana score was the strongest predictor of PE in HGSOC patients.
Full article
(This article belongs to the Special Issue Gynecological Oncology: Personalized Diagnosis and Therapy)
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Open AccessReview
Computational and Imaging Approaches for Precision Characterization of Bone, Cartilage, and Synovial Biomolecules
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Rahul Kumar, Kyle Sporn, Vibhav Prabhakar, Ahab Alnemri, Akshay Khanna, Phani Paladugu, Chirag Gowda, Louis Clarkson, Nasif Zaman and Alireza Tavakkoli
J. Pers. Med. 2025, 15(7), 298; https://doi.org/10.3390/jpm15070298 - 9 Jul 2025
Abstract
Background/Objectives: Degenerative joint diseases (DJDs) involve intricate molecular disruptions within bone, cartilage, and synovial tissues, often preceding overt radiographic changes. These tissues exhibit complex biomolecular architectures and their degeneration leads to microstructural disorganization and inflammation that are challenging to detect with conventional imaging
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Background/Objectives: Degenerative joint diseases (DJDs) involve intricate molecular disruptions within bone, cartilage, and synovial tissues, often preceding overt radiographic changes. These tissues exhibit complex biomolecular architectures and their degeneration leads to microstructural disorganization and inflammation that are challenging to detect with conventional imaging techniques. This review aims to synthesize recent advances in imaging, computational modeling, and sequencing technologies that enable high-resolution, non-invasive characterization of joint tissue health. Methods: We examined advanced modalities including high-resolution MRI (e.g., T1ρ, sodium MRI), quantitative and dual-energy CT (qCT, DECT), and ultrasound elastography, integrating them with radiomics, deep learning, and multi-scale modeling approaches. We also evaluated RNA-seq, spatial transcriptomics, and mass spectrometry-based proteomics for omics-guided imaging biomarker discovery. Results: Emerging technologies now permit detailed visualization of proteoglycan content, collagen integrity, mineralization patterns, and inflammatory microenvironments. Computational frameworks ranging from convolutional neural networks to finite element and agent-based models enhance diagnostic granularity. Multi-omics integration links imaging phenotypes to gene and protein expression, enabling predictive modeling of tissue remodeling, risk stratification, and personalized therapy planning. Conclusions: The convergence of imaging, AI, and molecular profiling is transforming musculoskeletal diagnostics. These synergistic platforms enable early detection, multi-parametric tissue assessment, and targeted intervention. Widespread clinical integration requires robust data infrastructure, regulatory compliance, and physician education, but offers a pathway toward precision musculoskeletal care.
Full article
(This article belongs to the Special Issue Cutting-Edge Diagnostics: The Impact of Imaging on Precision Medicine)
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Open AccessArticle
Impact of Sex on Rehospitalization Rates and Mortality of Patients with Heart Failure with Preserved Ejection Fraction: Differences Between an Analysis Stratified by Sex and a Global Analysis
by
Victoria Cendrós, Mar Domingo, Elena Navas, Miguel Ángel Muñoz, Antoni Bayés-Genís and José María Verdú-Rotellar
J. Pers. Med. 2025, 15(7), 297; https://doi.org/10.3390/jpm15070297 - 8 Jul 2025
Abstract
Background: Differences in the prognosis and associated factors in patients with heart failure with a preserved fraction (HFpEF) according to sex remain uncertain. Objective: The objective was to determine the relevance of sex-stratified predictive models in determining prognosis in HFpEF patients. Methods: The
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Background: Differences in the prognosis and associated factors in patients with heart failure with a preserved fraction (HFpEF) according to sex remain uncertain. Objective: The objective was to determine the relevance of sex-stratified predictive models in determining prognosis in HFpEF patients. Methods: The study was a retrospective, multicenter study of patients previously hospitalized with ejection fraction ≥ 50% (HFpEF) using data from the SIDIAP database. The endpoints were mortality and rehospitalization. Predictive models were performed. Results: We identified 2895 patients with HFpEF who were 57% female, with a mean age of 77 (standard deviation [SD] 9.7) years and a median follow-up of 2.0 (IQR 1.0–9.0) years. In the overall analysis, male sex was associated with a higher risk of mortality (HR 1.26, 95% CI 1.06–1.49, p = 0.008) and rehospitalization (HR 1.14, 95% CI 1.03–1.33, p = 0.04). After sex stratification, the mortality rates per 1000 patient years were 10.40 (95% CI 9.34–11.46) in men and 10.21 (95% CI 9.30–11.11) in women (p = 0.7), and the rehospitalization rates were 17.11 (95% CI 16.63–18.58) in men and 17.29 (95% CI 16.01–18.57) in women (p = 0.23). In men, the factors related to mortality were age (hazard ratio [HR] 3.14, 95% confidence interval [CI] 2.43–4.06), and hemoglobin (0.84, 0.79–0.89), while in women, they were age (HR 2.92, 95% CI 2.17–3.92), BMI < 30 kg/m2 (1.7, 1.37–2.11), diuretics (1.46, 1.11–1.94), and a Charlson > 2 (1.86, 1.02–3.38). Rehospitalization in men was associated with age (HR 1.58, 95% CI 1.23–2.02), BMI < 30 kg/m2 (0.75, 0.58–0.95), atrial fibrillation (1.36, 1.07–1.73), hemoglobin (0.91, 0.87–0.95), and coronary disease (1.35, 1.01–1.81). In women, the factors were age (HR 1.33, 95% CI 1.0–1.64), atrial fibrillation (1.57, 1.30–1.91), hemoglobin (0.86, 0.80–0.92), and diuretics (1.37, 1.08–1.73). Conclusions: Non-stratified analyses underestimate the poor prognosis in women with HFpEF. Future studies should include analyses stratified by sex.
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(This article belongs to the Section Sex, Gender and Hormone Based Medicine)
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Open AccessReview
Intraoperative Ultrasound as a Decision-Making Tool in Modern Gynecologic Oncology
by
Mohamed Lakany, Amana Sharif, Moiad Alazzam, Catherine Howell, Sian Mitchell, Christina Pappa, Dana Shibli, Lisa Story and Ahmad Sayasneh
J. Pers. Med. 2025, 15(7), 296; https://doi.org/10.3390/jpm15070296 - 8 Jul 2025
Abstract
Background: Intraoperative ultrasound (IOUS) is revolutionizing gynecologic oncology surgery by overcoming the limitations of traditional imaging and intraoperative assessment. Its real-time, high-resolution capabilities address critical needs in tumor localization, fertility preservation, refined intraoperative decisions, and complete cytoreduction. Methods: We reviewed clinical studies (1998–2024)
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Background: Intraoperative ultrasound (IOUS) is revolutionizing gynecologic oncology surgery by overcoming the limitations of traditional imaging and intraoperative assessment. Its real-time, high-resolution capabilities address critical needs in tumor localization, fertility preservation, refined intraoperative decisions, and complete cytoreduction. Methods: We reviewed clinical studies (1998–2024) evaluating IOUS applications, analyzing data on detection accuracy, surgical outcomes, and implementation challenges from peer-reviewed literature and institutional experiences. Results: IOUS demonstrates 88–93% sensitivity for subcentimeter metastases, refining surgical decisions in 25–40% of cases. Key outcomes include increased complete resection rates (68% to 87%), a 38% reduction in unnecessary lymphadenectomies, and successful fertility preservation in 92% of cases. Limitations include learning curves, 12% false-negative rate for micrometastases, and significant capital investment cost barriers. Conclusions: IOUS represents a transformative advance in precision surgery, improving both oncologic outcomes and quality of life. While standardization and accessibility challenges remain, ongoing technological innovations promise to solidify its role as a surgical standard.
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(This article belongs to the Special Issue Gynecological Oncology: Personalized Diagnosis and Therapy)
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Open AccessEditorial
New Insights into Personalized Surgical Oncology
by
Maximos Frountzas
J. Pers. Med. 2025, 15(7), 295; https://doi.org/10.3390/jpm15070295 - 8 Jul 2025
Abstract
The trajectory of surgical oncology has evolved dramatically during recent years, transitioning from widely applied treatment protocols to highly individualized therapeutic strategies according to each tumor’s specific characteristics [...]
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(This article belongs to the Special Issue New Insights into Personalized Surgical Oncology)
Open AccessOpinion
Clinician Experiences at the Frontier of Pharmacogenomics and Future Directions
by
Stefan Thottunkal, Claire Spahn, Benjamin Wang, Nidhi Rohatgi, Jison Hong, Abha Khandelwal and Latha Palaniappan
J. Pers. Med. 2025, 15(7), 294; https://doi.org/10.3390/jpm15070294 - 7 Jul 2025
Abstract
Pharmacogenomics (PGx) has emerged as a powerful tool to personalize drug selection and dosing based on a patient’s genetic profile. However, there are a range of challenges that impede uptake in current clinical practice. For example, clinicians often express frustration with commercially available
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Pharmacogenomics (PGx) has emerged as a powerful tool to personalize drug selection and dosing based on a patient’s genetic profile. However, there are a range of challenges that impede uptake in current clinical practice. For example, clinicians often express frustration with commercially available PGx panel tests, which fail to consistently include all key actionable PGx genes (according to the Clinical Pharmacogenetics Implementation Consortium (CPIC), Food and Drug Administration (FDA) PGx guidelines, or The Dutch Pharmacogenetics Working Group (DPWG) guidelines) and instead are too long with clinically unimportant information (unvalidated genotypes). Additionally, the lack of EMR integration, clinician education and awareness of the benefits of PGx impedes uptake. This paper examines key challenges identified in clinical practice and proposes future directions, focusing on limiting PGx reports to essential data, providing point-of-prescription alerts, and establishing reimbursement pathways that encourage adoption. Future directions include leveraging large language models, integrating point-of-prescription alerts and phenoconversion calculators into the electronic medical record, increasing the genomic diversity of PGx study populations, and streamlining coverage by payers.
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(This article belongs to the Section Pharmacogenetics)
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Open AccessReview
Microvascularization of the Vocal Folds: Molecular Architecture, Functional Insights, and Personalized Research Perspectives
by
Roxana-Andreea Popa, Cosmin-Gabriel Popa, Delia Hînganu and Marius Valeriu Hînganu
J. Pers. Med. 2025, 15(7), 293; https://doi.org/10.3390/jpm15070293 - 7 Jul 2025
Abstract
Introduction: The vascular architecture of the vocal folds plays a critical role in sustaining the dynamic demands of phonation. Disruptions in this microvascular system are linked to various pathological conditions, including Reinke’s edema, hemorrhage, and laryngeal carcinoma. This review explores the structural
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Introduction: The vascular architecture of the vocal folds plays a critical role in sustaining the dynamic demands of phonation. Disruptions in this microvascular system are linked to various pathological conditions, including Reinke’s edema, hemorrhage, and laryngeal carcinoma. This review explores the structural and functional components of vocal fold microvascularization, with emphasis on pericytes, endothelial interactions, and neurovascular regulation. Materials and Methods: A systematic review of the literature was conducted using databases such as PubMed, Scopus, Web of Science, and Embase. Keywords included “pericytes”, “Reinke’s edema”, and “vocal fold microvascularization”. Selected studies were peer-reviewed and met criteria for methodological quality and relevance to laryngeal microvascular physiology and pathology. Results: The vocal fold vasculature is organized in a parallel, tree-like pattern with distinct arterioles, capillaries, and venules. Capillaries dominate the superficial lamina propria, while transitional vessels connect to deeper arterioles surrounded by smooth muscle. Pericytes, present from birth, form tight associations with endothelial cells and contribute to capillary stability, vessel remodeling, and mechanical protection during vibration. Their thick cytoplasmic processes suggest a unique adaptation to the biomechanical stress of phonation. Arteriovenous anastomoses regulate perfusion by shunting blood according to functional demand. Furthermore, neurovascular control is mediated by noradrenergic fibers and neuropeptides such as VIP and CGRP, modulating vascular tone and glandular secretion. The limited lymphatic presence in the vocal fold mucosa contributes to edema accumulation while also restricting carcinoma spread, offering both therapeutic challenges and advantages. Conclusions: A deeper understanding of vocal fold microvascularization enhances clinical approaches to voice disorders and laryngeal disease, offering new perspectives for targeted therapies and regenerative strategies.
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(This article belongs to the Special Issue Clinical Diagnosis and Treatment in Otorhinolaryngology)
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Open AccessArticle
Comparing the Impact of DOACs and Warfarin on Below-the-Knee Autologous Vein Bypass Patency in Peripheral Artery Disease: A Retrospective Cohort Study with 2-Year Follow-Up
by
Francisca Frias and Günay Kalender
J. Pers. Med. 2025, 15(7), 292; https://doi.org/10.3390/jpm15070292 - 7 Jul 2025
Abstract
Background: Peripheral artery disease (PAD) affects over 200 million individuals globally, leading to significant morbidity and mortality. For patients with complex lesions of the superficial femoral artery requiring revascularization, autologous vein bypass surgery remains a viable treatment option. Postoperative anticoagulation is critical for
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Background: Peripheral artery disease (PAD) affects over 200 million individuals globally, leading to significant morbidity and mortality. For patients with complex lesions of the superficial femoral artery requiring revascularization, autologous vein bypass surgery remains a viable treatment option. Postoperative anticoagulation is critical for maintaining graft patency, but the optimal choice between direct oral anticoagulants (DOACs) and warfarin remains uncertain. Objectives: This study aims to evaluate the patency of below-the-knee autologous vein bypasses in PAD patients receiving either DOACs or warfarin over a two-year period. Methods: A retrospective cohort study was conducted at a tertiary care hospital in Berlin, Germany, including patients who underwent femoropopliteal or femorocrural bypass surgery between 2017 and 2022. Patients were divided into two groups based on postoperative anticoagulation therapy: DOACs or warfarin. The primary outcome was graft patency at 24 months. Results: Out of 192 patients, after applying exclusion criteria, 36 were analyzed. The mean bypass patency was longer in the warfarin group (18.3 months) compared to the DOAC group (14.3 months). However, the log-rank test p-value (0.524) suggests that this difference is not statistically significant. Given the log-rank test’s limitations in accounting for confounders, a multivariable Cox regression was performed, including age, sex, comorbidities, bypass type and antiplatelet use. The model (Omnibus p = 0.93) showed no statistically significant effect for any variable. Conclusions: DOACs appear to be a viable alternative to warfarin in maintaining graft patency in below-the-knee autologous vein bypasses for PAD patients. The lack of a need for regular INR monitoring with DOACs may offer a practical advantage in clinical settings.
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(This article belongs to the Special Issue New Insights into Personalized Medicine for Cardiac Surgery: Clinical Advances in Diagnosis, Treatment, and Prognosis)
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Open AccessArticle
Resting-State EEG Alpha Asymmetry as a Potential Marker of Clinical Features in Parkinson’s Disease
by
Thalita Frigo da Rocha, Valton Costa, Lucas Camargo, Elayne Borges Fernandes and Anna Carolyna Gianlorenço
J. Pers. Med. 2025, 15(7), 291; https://doi.org/10.3390/jpm15070291 - 4 Jul 2025
Abstract
Background: Asymmetrical brain oscillations may be characteristic of Parkinson’s disease (PD). We investigated differences in oscillation asymmetry between individuals with PD and healthy controls and explored associations between the asymmetry and clinical features. Methods: Clinical and resting-state EEG data from 37
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Background: Asymmetrical brain oscillations may be characteristic of Parkinson’s disease (PD). We investigated differences in oscillation asymmetry between individuals with PD and healthy controls and explored associations between the asymmetry and clinical features. Methods: Clinical and resting-state EEG data from 37 patients and 24 controls were cross-sectionally analyzed. EEG asymmetry indices were calculated for the delta, theta, alpha, and beta frequencies in the frontal, central, and parietal regions. Independent t-tests and linear regression models were employed. Results: Patients exhibited lower alpha asymmetry than controls in the parietal region (t(59) = 2.12, p = 0.03). In the frontal alpha asymmetry models, there were associations with time since diagnosis (β = −0.042) and attention/orientation (β = 0.061), and with Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRSIII)-posture (β = 0.136) and MDS-UPDRSIII-rest-tremor persistence (β = −0.111). In the central alpha model, higher asymmetry was associated with the physical activity levels (International Physical Activity Questionnaire) IPAQ-active (β = 0.646) and IPAQ-very active (β = 0.689), (Timed Up and Go) TUG dual-task cost (β = 0.023), MDS-UPDRSII-freezing (β = 0.238), and being male (β = 0.535). In the parietal alpha asymmetry model, MDS-UPDRSII-gait/balance was inversely associated with alpha asymmetry (β = −0.156), while IPAQ-active (β = −0.247) and being male (β = −0.191) were associated with lower asymmetry. Conclusions: Our findings highlight the potential role of alpha asymmetry as a neurophysiological marker of PD’s motor symptoms, mainly rest tremor, gait/balance, freezing, and specific cognitive domains such as attention/orientation. The models stressed the relationship between disease progression and reduced alpha asymmetry. Brazilian Registry of Clinical Trials (RBR-7zjgnrx, 9 June 2022).
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(This article belongs to the Section Disease Biomarker)
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