Search Results (751)

Medical education often emphasizes theoretical knowledge, limiting students’ opportunities to practice history taking, a structured interview that elicits relevant patient information before clinical decision making. Large language models (LLMs) offer novel solutions by generating simulated patient interviews. This study evaluated the educational potential of LLM-generated history-taking dialogues, focusing on clinical validity and diagnostic diversity. Chest pain was chosen as a representative case given its frequent presentation and importance for differential diagnosis. A fine-tuned Gemma-3-27B, specialized for medical interviews, was compared with GPT-4o-mini, a freely accessible LLM, in generating multi-branching history-taking dialogues, with Claude-3.5 Sonnet inferring diagnoses from these dialogues. The dialogues were assessed using a Chest Pain Checklist (CPC) and entropy-based metrics. Gemma-3-27B outperformed GPT-4o-mini, generating significantly more high-quality dialogues (90.7% vs. 76.5%). Gemma-3-27B produced diverse and focused diagnoses, whereas GPT-4o-mini generated broader but less specific patterns. For demographic information, such as age and sex, Gemma-3-27B showed significant shifts in dialogue patterns and diagnoses aligned with real-world epidemiological trends. These findings suggest that LLMs, particularly those fine-tuned for medical tasks, are promising educational tools for generating diverse, clinically valid interview scenarios that enhance clinical reasoning in history taking. Full article

Introduction: Radiomics is the extraction of non-invasive and reproducible quantitative imaging features, which may yield mineable information for clinical practice implementation. Quantification of lung function through radiomics could play a role in the management of patients with pulmonary lesions. The aim of this study is to test the capability of radiomic features to predict pulmonary function parameters, focusing on the diffusing capacity of lungs to carbon monoxide (DL_CO). Methods: Retrospective data were retrieved from electronical medical records of patients treated with Stereotactic Body Radiation Therapy (SBRT) at a single institution. Inclusion criteria were as follows: (1) SBRT treatment performed for primary early-stage non-small cell lung cancer (ES-NSCLC) or oligometastatic lung nodules, (2) availability of simulation four-dimensional computed tomography (4DCT) scan, (3) baseline spirometry data availability, (4) availability of baseline clinical data, and (5) written informed consent for the anonymized use of data. The gross tumor volume (GTV) was segmented on 4DCT reconstructed phases representing the moment of maximum inhalation and maximum exhalation (Phase 0 and Phase 50, respectively), and radiomic features were extracted from the lung parenchyma subtracting the lesion/s. An iterative algorithm was clustered based on correlation, while keeping only those most associated with baseline and post-treatment DL_CO. Three models were built to predict DL_CO abnormality: the clinical model—containing clinical information; the radiomic model—containing the radiomic score; the clinical-radiomic model—containing clinical information and the radiomic score. For the models just described, the following were constructed: Model 1 based on the features in Phase 0; Model 2 based on the features in Phase 50; Model 3 based on the difference between the two phases. The AUC was used to compare their performances. Results: A total of 98 patients met the inclusion criteria. The Charlson Comorbidity Index (CCI) scored as the clinical variable most associated with baseline DL_CO (p = 0.014), while the most associated features were mainly texture features and similar among the two phases. Clinical-radiomic models were the best at predicting both baseline and post-treatment abnormal DL_CO. In particular, the performances for the three clinical-radiomic models at predicting baseline abnormal DL_CO were AUC₁ = 0.72, AUC₂ = 0.72, and AUC₃ = 0.75, for Model 1, Model 2, and Model 3, respectively. Regarding the prediction of post-treatment abnormal DL_CO, the performances of the three clinical-radiomic models were AUC₁ = 0.91, AUC₂ = 0.91, and AUC₃ = 0.95, for Model 1, Model 2, and Model 3, respectively. Conclusions: This study demonstrates that radiomic features extracted from healthy lung parenchyma on a 4DCT scan are associated with baseline pulmonary function parameters, showing that radiomics can add a layer of information in surrogate models for lung function assessment. Preliminary results suggest the potential applicability of these models for predicting post-SBRT lung function, warranting validation in larger, prospective cohorts. Full article

Background/Objectives: Primary malignant lung tumors in children are rare and diagnostically challenging. This study presents a single-center experience in the diagnosis and treatment of these tumors, emphasizing the role of histopathological and genetic profiling in informing individualized therapeutic strategies. Methods: We retrospectively reviewed records of seven pediatric patients (ages 2–18) treated from 2015 to 2025. Diagnostics included laboratory tests, chest CT, bronchoscopy, and histopathological/immunohistochemical analysis. Treatment primarily involved surgical resection, complemented by chemo-, radio-, or targeted therapies when indicated. Results: Inflammatory myofibroblastic tumor (IMT) represented the most commonly diagnosed entity (3/7 cases). The tumors presented with nonspecific symptoms, most frequently dry cough. Tumor type distribution was age-dependent, with aggressive forms such as pleuropulmonary blastoma predominantly affecting younger children, whereas IMT and carcinoid tumors were more common in older patients. Surgical resection remained the mainstay of treatment in the majority of cases. Bronchoscopy served as a valuable adjunct in the initial management of tumors exhibiting intraluminal growth, allowing for direct visualization, tissue sampling, and partial debulking to alleviate airway obstruction. In patients with an initially unresectable IMT harboring specific gene fusion rearrangement (e.g., TFG::ROS1), neoadjuvant targeted therapy with crizotinib enabled adequate tumor shrinkage to allow for subsequent surgical resection. Two patients in the study cohort died as a result of disease progression. Conclusions: A multidisciplinary diagnostic approach—integrating radiologic, bronchoscopic, histopathological, and genetic evaluations—ensures high diagnostic accuracy. While conventional treatments remain curative in many cases, targeted therapies directed at specific molecular alterations may offer essential therapeutic options for selected patients. Full article

Bacterial meningitis remains a critical public health issue globally due to its high morbidity and mortality. Understanding regional epidemiological trends is essential to inform vaccination strategies and public health interventions. This observational, retrospective study analyzed cerebrospinal fluid (CSF) isolates collected from 731 confirmed cases of bacterial meningitis between 2014 and 2024 in Lombardy, Italy. Pathogen identification and serotyping of Streptococcus pneumoniae (SP), Neisseria meningitidis (NM), and Haemophilus influenzae (HI) were conducted using culture-based and molecular techniques. Trends were assessed across age groups and time using Kruskal–Wallis and chi-square tests. Results: SP was the predominant pathogen (78.4%), followed by NM (13.0%) and HI (8.6%). Significant temporal variation was observed for SP and NM, while HI trends remained stable. The impact of COVID-19-related restrictions was evident in a reduction in cases during 2020–2021. SP serotypes 3 and 8, HI non-typeable strains, and NM serogroup B were most frequent. No major shifts in serotype distribution were observed. Long-term surveillance data from Lombardy underscore the dominance of vaccine-targeted serotypes, ongoing circulation of resilient clones, and post-pandemic epidemiological shifts. These findings support continuous surveillance and inform vaccine strategy adjustments at the regional and national levels. Full article

Oral squamous cell carcinoma (OSCC) remains a significant global health challenge, representing 90% of oral malignancies. Despite therapeutic advances, patient outcomes remain poor, highlighting the need for novel prognostic biomarkers and treatment targets. We investigated the expression patterns of NTRK genes and their corresponding proteins (TrkA, TrkB, and TrkC) in OSCC, analyzing their relationships with clinical outcomes and potential as therapeutic targets. We examined 93 OSCC tissue samples using immunohistochemistry and quantitative real-time PCR. Protein expression was quantified using the H-score method. We analyzed correlations between Trk expression, clinicopathological parameters, and 2-year survival rates using chi-square tests, Mann–Whitney U tests, and Kaplan–Meier survival analysis. TrkA showed near-universal expression (97.8%—91 patients) in OSCC samples, with high expression levels significantly correlating with lower tumor grade (p = 0.014) and improved 2-year survival (p = 0.011). While TrkB and TrkC were expressed in 65.5% and 84.9% of cases, respectively, neither showed significant associations with clinical parameters. NTRK2 and NTRK3 mRNA levels demonstrated a strong positive correlation (R = 0.64, p = 0.002), suggesting coordinated regulation. Our findings establish TrkA as a promising positive prognostic marker in OSCC, warranting investigation as a therapeutic target. The strong correlation between NTRK2 and NTRK3 expression suggests shared regulatory mechanisms in OSCC pathogenesis. Further studies with larger cohorts and longer follow-up periods are needed to validate these findings and explore their therapeutic implications. Full article

Background: Acinetobacter, specifically A. baumannii, are becoming a great threat to hospitalized patients due to increasing antibiotic resistance. The aim of this study was to describe the epidemiology, clinical characteristics, antimicrobial susceptibility pattern and outcome of Acinetobacter infections in pediatric cancer patients and hematopoietic stem cell transplant (HSCT) recipients in Poland. Methods: A total of 125 episodes of Acinetobacter species infections were reported in patients <18 years treated in Polish pediatric hematology and oncology centers over a period from 2012 to 2023. Infections were subdivided into oncohematological disease (OHD) group (n = 106; 84.8%) and HSCT group (n = 19; 15.2%). Each episode represented a separate infection event; therefore, a patient who was infected more than once during the course of treatment was counted for each infection episode. Results: A. baumannii is the most common Acinetobacter species in all groups. The most common diagnoses in OHD group were acute lymphoblastic leukemia (ALL) (n = 32; 30.2%) and acute myeloid leukemia (AML) (n = 13; 12.3%). The most common underlying diseases that were indication for HSCT were hemophagocytic lymphohistiocytosis (n = 3; 15.8%) and neuroblastoma (n = 3; 15.8%). Mortality was significantly higher in the HSCT group compared to the OHD group. In the OHD group, deaths did not correlate with the type of antibiotic, with an exception for gentamicin, which correlated with higher mortality. In the HSCT group, deaths did not correlate with the type of antibiotic, except for levofloxacin that was correlated with a higher mortality rate. Conclusions: Acinetobacter infections are a great danger to immunocompromised patients. More research is needed in order to prevent and treat antibiotic-resistant bacteria. Full article

Background/Objectives: Intrachromosomal amplification of chromosome 21 (iAMP21) represents a rare and heterogeneous distinct cytogenetic subgroup of B-cell precursor acute lymphoblastic leukemia (ALL) initially associated with a poor prognosis. Treatment intensification with additional doses of methotrexate and asparaginase was associated with better treatment outcomes. Methods: In this retrospective single-center study, we evaluated the impact of iAMP21 on treatment outcome in a cohort of pediatric patients treated with an intensified asparaginase regimen and describe the genomic landscape of four patients with iAMP21. Results: Four out of 89 patients > 1 year old were classified as iAMP21 positive. Five-year event-free survival (EFS) was inferior in the iAMP21-positive group: 25% versus 85.6% (p = 0.001). The cumulative incidence of relapse and treatment-related mortality were 50% vs. 9.9% and 0% vs. 2.38%, respectively, in the iAMP21-positive and non-iAMP21 groups (p = 0.02 and 0.76, respectively). These results did not translate into a significant difference in overall survival: 100% vs. 93.7% (p = 0.6). The presence of iAMP21 (HR 7.68, 95% CI 2.04–29.05; p = 0.002) and a measurable residual disease ≥1% after induction on day +33 (HR 8.82, 95% CI 2.6–29.91; p = 0.001) retained significant negative impact on EFS in multivariate analysis. Conclusions: We found an independent significant prognostic impact of iAMP21 on EFS among pediatric patients with ALL, and clinical presentation and early treatment response did not classify these patients as HR. Diverse genetic backgrounds among iAMP21-positive patients might influence the treatment response and outcome of this heterogeneous disease. Full article

Chronic myeloid leukemia (CML) is a clonal myeloproliferative neoplasia characterized by the BCR::ABL1 fusion gene, which codifies the BCR-ABL protein with increased tyrosine kinase activity. Despite the clinical results for the outstanding tyrosine kinase inhibitors (TKIs), drug resistance is a problem in CML management. Genetic variants that alter redox homeostasis by changing antioxidant enzyme expression or activity may influence patient responses and could enhance patient stratification. We aimed to assess the association of SOD2, CAT GPX1, NRF2, and KEAP1 genetic variants with TKI response and disease prognosis. For this purpose, we genotyped the variants rs4880 (SOD2), rs1050450 (GPX1), rs1001179 (CAT), rs6721961, rs4893819, rs35652124, rs6706649, rs13001694 (NFE2L2), and rs113540846 (KEAP1) via PCR in 187 CML patients. Our results show that variants in genes related to oxidative stress influence the development and degree of TKI resistance (allele G and GG genotypes of GPX1 and CT genotype of NFE2L2 rs4893819), the appearance of mutations in the BCR::ABL1 gene (AG genotype of NFE2L2 rs13001694 and genetic profile GGCTTCCCGG of the NFE2L2/KEAP1 axis), disease evolution (AG genotype of SOD2 and CT genotype of NFE2L2 rs4893819), and overall survival (CC genotype of CAT and GG genotype of NFE2L2 rs13001694) of CML patients. Our study found that variants in oxidative stress-related genes impact treatment response and outcomes in CML. Full article

Background: Radiomics is changing clinical practice by providing quantitative information from images to improve diagnosis, prognosis, and treatment planning. This study aims to investigate a radiomics model developed from contrast-enhanced mammography (CEM) images to predict disease-free survival (DFS) and overall survival (OS) in breast cancer (BC) patients. Methods: From January 2013 to December 2015, all consecutive BC patients who underwent CEM before biopsy at a referral center were enrolled. Clinical data included histological results, receptor profiles, and follow-up (DFS and OS). A region of interest (ROI) of the enhancing lesion was selected from recombined CEM images by experienced radiologists, and radiomic features were extracted. A Cox-LASSO model assigned coefficients to the features, generating patient radiomic scores (RSs), which were dichotomized for graphical representation. Model performance was assessed using the C index. Results: The study included 126 BC patients with predominantly “mass”-type lesions (95%) and a median follow-up of 6.88 years (IQR 3.10–8.15). The median age of the patients at the time of examination was 49.2 years (IQR: [42.33–56.98]). Radiomic and clinical–radiomic models showed significant associations between RS, DFS, and OS, with patients with RS below the median showing a better prognosis (p < 0.001). Bootstrap testing confirmed a good model fit for OS prediction, with median C-index values of 0.82 for the clinical model and 0.84 for the clinical–radiomic model. Conclusions: Radiomic analysis of CEM images may predict DFS and OS in BC patients, offering additional prognostic value beyond clinical models alone. Full article

Alterations in aggressive-variant prostate cancer-associated tumor suppressor genes (AVPC-TSG: TP53, RB1, PTEN) are related with androgen insensitivity and aggressive disease. However, their prognostic and predictive role in metastatic hormone-sensitive prostate cancer (mHSPC) is unclear. This single-center retrospective study assesses the value of AVPC-TSG alterations in refining prognosis and predicting the response to androgen receptor pathway inhibitors (ARPIs) in mHSPC. We included 158 patients with genomic tumor sequencing undergoing treatment for mHSPC between 2013 and 2023. We compared patients with AVPC-TSGalt tumors (≥1 alteration in TP53, RB1, or PTEN/PI3K/AKT pathway genes) to those with AVPC-TSGwt tumors (i.e., without alterations in AVPC-TSG). Cox analyses were performed for progression-free survival (PFS) and overall survival (OS). AVPC-TSGwt status was associated with improved PFS and OS in both univariate and multivariate (MV) analyses (MV PFS: HR 0.58, 95%CI: 0.38–0.89, p = 0.012; MV OS: HR 0.48, 95%CI: 0.26–0.91, p = 0.025). AVPC-TSGalt mHSPC patients seemed to derive no PFS benefit from ARPI addition (PFS: HR 1.13, 95%CI: 0.58–2.19, p = 0.721), while AVPC-TSGwt mHSPC patients did (PFS: HR 0.51, 95%CI: 0.28–0.93 p = 0.029). Integrating AVPC-TSG status with CHAARTED volume criteria, we identified three distinct subgroups: “good risk” (AVPC-TSGwt low volume), “intermediate risk” (either AVPC-TSGalt low volume or AVPC-TSGwt high volume), and “poor risk” (AVPC-TSGalt high volume) with median PFS of 46.8, 28.2, and 15.7 months, respectively. Only the “intermediate risk” subgroup seemed to derive PFS benefit from ARPI addition (HR 0.36, 95%CI: 0.19–0.70, p = 0.002). AVPC-TSG status assessment refines prognosis and may predict PFS benefits of ARPIs in mHSPC. AVPC-TSGalt mHSPC patients should be considered for clinical trials as they may not benefit from current standard approaches. Full article

Background and Clinical Significance: Intermediate- to high-risk Myelodysplastic Syndrome (MDS), according to the Revised International Prognostic Scoring System (IPSS-M), confers a high risk of progression into acute myeloid leukemia. Treatment with hypomethylating agents, including azacitidine and decitabine, represents the current standard of care. In eligible patients, hypomethylating agents are used as a bridge for allogeneic stem cell transplantation, currently the only curative approach in these malignancies. The most common side effects of hypomethylating agents are myelosuppression, cutaneous injection site reactions (when azacitidine is given subcutaneously), and gastrointestinal symptoms. Uncommon, disabling, and long-lasting side effects represent a threat to effective treatment in this group of patients. Case Presentation: We describe the case of a 49-year-old male patient with IPSS-M intermediate-risk MDS, intended to receive first-line treatment with azacitidine followed by allogeneic stem cell transplantation. The first, late-onset azacitidine reaction was observed 48 h after the first exposure, with cutaneous and respiratory toxicity, followed by the late-onset recurrence of symptoms after azacitidine withdrawal and decitabine introduction. Conclusions: This case highlights atypical, disabling, and long-lasting drug reactions to two hypomethylating agents, with the persistence of hypersensitivity manifestations months after medication withdrawal. Full article

Respiratory syncytial virus (RSV) is a leading cause of severe respiratory illness in infants, young children, as well as elderly and immunocompromised patients worldwide. RSV is classified into two major subtypes, RSV-A and RSV-B, and remains the most frequently detected pathogen in infants hospitalized with acute respiratory infections. Recent advances have brought both passive and active immunization strategies, including FDA-approved vaccines for older adults and pregnant women and new monoclonal antibodies (mAbs) for infant protection. Although significant progress has been made, the need remains for improved antiviral treatments, particularly for vulnerable infants and immunocompromised patients. Recent studies have identified multiple RSV mutations that confer resistance to current treatments. These mutations, detected in both in vitro studies and clinical isolates, often complicate therapeutic outcomes, underscoring the need for updated and effective management strategies. In this context, evaluating protein flexibility through tools like DisoMine provides insight into how specific mutations impact structural dynamics at binding sites, thus affecting ligand affinity. This review aims to synthesize these aspects, offering a comprehensive insight into ongoing efforts to counteract RSV and address the evolving challenge of drug resistance. Full article

Background/Objectives: The prevalence of breast cancer (BC) is significant globally. The malignancy itself and the related treatments have a considerable impact on patients’ overall well-being. The adoption of e-health solutions for patients is increasing rapidly worldwide, since these innovative tools hold significant potential to positively impact the mental health and quality of life (QoL) of BC patients. However, their overall impact is still being explored, and further understanding and analysis are required. This review paper aims to present, quantify, and summarize the cumulative available randomized evidence on the state of the art of supportive interventions delivered via e-health applications for patients’ mental health and QoL before, during, and after BC treatment. Methods: A systematic review was conducted following the PRISMA guidelines in the Scopus and PubMed databases on 7 November 2024 to identify studies that utilized internet-based interventions in BC patients. The inclusion criteria were as follows: adult men and women (aged > 18 years) diagnosed with breast cancer (BC) who received patient-directed e-health interventions, compared to standard care or control interventions. The studies had to focus on outcomes such as quality of life (QoL), anxiety, depression, and distress, and be limited to randomized controlled trials (RCTs). The PRISMA-P guidelines were followed. Risk of bias was assessed using the Cochrane risk-of-bias (RoB) tool for randomized controlled trials. Results: A total of 27 randomized studies, involving 2898 patients, were included in this systematic review. The e-health interventions significantly affected patients’ anxiety (SMD = −0.80; 95% CI: −1.33 to −0.27; p < 0.01; and I² = 94%), depression (SMD = −0.74; 95% CI: −1.40 to −0.09; p = 0.026; and I² = 95%) and QoL (SMD = 0.65; 95% CI: 0.27 to 1.04; p < 0.01; and I² = 90%) but had no significant effect on distress (SMD = −0.78; 95% CI: −1.93 to 0.37; p = 0.184; and I² = 95%). Conclusions: This study showed that e-health interventions can improve QoL, reduce anxiety, and decrease depression in adult BC patients. However, no noticeable impact on reducing distress levels was observed. Additionally, given the diversity of interventions, these results should be interpreted with caution. To determine the optimum duration, validate different intervention approaches, and address methodological gaps in previous studies, more extensive clinical studies are needed. Full article

Globally, cardiovascular disease is a leading cause of disability and early death, affecting 422.7 million people and causing 17.9 million deaths (31% of global deaths) in 2015. Peripheral arterial disease, previously overlooked compared to coronary artery disease, is now recognised as a major contributor to cardiovascular morbidity and mortality, with distinct characteristics. After noninvasive methods, the femoropopliteal segment is frequently treated with revascularisation, which is recommended for claudication and chronic limb-threatening ischemia (CLTI). Challenges such as mechanical stresses, chronic occlusions, extensive plaque, and calcification affect procedural success and vessel patency. Innovations were needed to address these issues, and vascular drug delivery devices have become integral to endovascular treatment. We review the current literature concerning a diverse range of these devices in clinical use and their role in managing symptomatic patients. Full article

Background: Approximately 25.0% of metastatic prostate cancer patients harbour DNA damage repair mutations, including BRCA1 and BRCA2, which are actionable targets for poly(ADP-ribose) polymerase (PARP) inhibitors. Accurate detection of BRCA1/2 mutations is critical for guiding targeted therapies, but crucial pre-analytical factors, such as tissue storage duration and DNA fragmentation, drastically affect the reliability of next-generation sequencing (NGS) using real-world diagnostic specimens. Methods: This multicentre study analysed 954 formalin-fixed paraffin-embedded tissue samples from 11 centres, including 559 biopsies and 395 surgical specimens. This study examined the impact of storage duration (<1 year, 1–2 years, and >2 years) and DNA parameters (concentration and fragmentation index) on NGS success rates. Logistic regression and Cox regression analyses were used to assess correlations between these factors and sequencing outcomes. Results: NGS success rates decreased significantly with longer storage, from 87.8% (<1 year) to 69.1% (>2 years). Samples with higher DNA concentrations and fragmentation indexes had higher success rates (p < 0.001). Surgical specimens had superior success rates (83.3%) compared with biopsies (72.8%) due to better DNA quality. The DNA degradation rate was more pronounced in older samples, underscoring the negative impact of extended storage. Conclusions: Timely testing of BRCA1/2 mutations is critical for optimizing the identification of prostate cancer patients eligible for PARP inhibitors. Surgical specimens provide more reliable results than biopsies and minimizing the storage duration significantly enhances testing outcomes. Standardizing pre-analytical and laboratory procedures across centres is essential to ensure personalized treatments and improve patient outcomes. Full article