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Diagnostics, Volume 13, Issue 13

2023 July-1 - 183 articles

Cover Story: The early prediction of response to neoadjuvant systemic therapy (NST) can increase the patient’s likelihood of survival and help with decisions regarding breast-conserving surgery. An automated NST predictor that can precisely predict which patient undergoing NST will achieve a complete pathological response at an early stage is needed. We developed a multimodal spatiotemporal deep learning framework (deep-NST) by incorporating MRIs at different points in the NST regimens, the tumor’s molecular data, and the patient’s demographic data to predict the outcome of NST prior to or at an early stage of treatment. Deep-NST introduces a cross-kernel feature fusion module, which enhances the learnability of the framework by paying attention to multiple receptive fields to extract spatiotemporal features. View this paper
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Articles (183)

  • Article
  • Open Access
6 Citations
3,136 Views
12 Pages

Is There a Potential Link between Gastroesophageal Reflux Disease and Recurrent Respiratory Tract Infections in Children?

  • Vasile Valeriu Lupu,
  • Gabriela Stefanescu,
  • Ana Maria Laura Buga,
  • Lorenza Forna,
  • Elena Tarca,
  • Iuliana Magdalena Starcea,
  • Cristina Maria Mihai,
  • Laura Florescu,
  • Andrei Tudor Cernomaz and
  • Ancuta Lupu
  • + 3 authors

Background: The implications of gastroesophageal reflux disease in respiratory tract infections have been investigated over time. The aim of our study was to evaluate the relationship between these two pathologic entities and the outcome after proper...

  • Review
  • Open Access
9 Citations
3,709 Views
16 Pages

Hyperpolarized Carbon-13 MRI in Breast Cancer

  • Ramona Woitek and
  • Kevin M. Brindle

One of the hallmarks of cancer is metabolic reprogramming, including high levels of aerobic glycolysis (the Warburg effect). Pyruvate is a product of glucose metabolism, and 13C-MR imaging of the metabolism of hyperpolarized (HP) [1-13C]pyruvate (HP...

  • Review
  • Open Access
10 Citations
6,040 Views
15 Pages

Diagnosis, Treatment, and Management of Otitis Media with Artificial Intelligence

  • Xin Ding,
  • Yu Huang,
  • Xu Tian,
  • Yang Zhao,
  • Guodong Feng and
  • Zhiqiang Gao

A common infectious disease, otitis media (OM) has a low rate of early diagnosis, which significantly increases the difficulty of treating the disease and the likelihood of serious complications developing including hearing loss, speech impairment, a...

  • Review
  • Open Access
55 Citations
5,344 Views
22 Pages

Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement

  • Matteo Ferro,
  • Ugo Giovanni Falagario,
  • Biagio Barone,
  • Martina Maggi,
  • Felice Crocetto,
  • Gian Maria Busetto,
  • Francesco del Giudice,
  • Daniela Terracciano,
  • Giuseppe Lucarelli and
  • Octavian Sabin Tataru
  • + 11 authors

Artificial intelligence is highly regarded as the most promising future technology that will have a great impact on healthcare across all specialties. Its subsets, machine learning, deep learning, and artificial neural networks, are able to automatic...

  • Article
  • Open Access
3 Citations
4,411 Views
15 Pages

Optic Nerve Sheath Meningiomas: Solving Diagnostic Challenges with 68Ga-DOTATOC PET/CT

  • Tatiana Horowitz,
  • Betty Salgues,
  • Laetitia Padovani,
  • Kaissar Farah,
  • Henry Dufour,
  • Olivier Chinot,
  • Eric Guedj and
  • Thomas Graillon

68Ga-DOTATOC PET could be a noninvasive, highly sensitive, and specific technique for the challenging diagnosis of optic nerve sheath meningioma (ONSM). Our objective was to report the use and results of 68Ga-DOTATOC PET in suspected ONSM. Twelve sub...

  • Article
  • Open Access
4 Citations
4,639 Views
19 Pages

Performance Evaluation of VIDAS® Diagnostic Assays Detecting Anti-Chikungunya Virus IgM and IgG Antibodies: An International Study

  • Geovana M. Pereira,
  • Erika R. Manuli,
  • Laurie Coulon,
  • Marina F. Côrtes,
  • Mariana S. Ramundo,
  • Loïc Dromenq,
  • Audrey Larue-Triolet,
  • Frédérique Raymond,
  • Carole Tourneur and
  • Ester C. Sabino
  • + 5 authors

Chikungunya (CHIK) is a debilitating mosquito-borne disease with an epidemiology and early clinical symptoms similar to those of other arboviruses-triggered diseases such as dengue or Zika. Accurate and rapid diagnosis of CHIK virus (CHIKV) infection...

  • Editorial
  • Open Access
3 Citations
2,720 Views
3 Pages

This Special Issue of Diagnostics entitled “Advances in CT Images” provides an interesting selection of articles on recent technical developments in CT imaging with a special focus on spectral imaging, including dual-energy CT (DECT) and...

  • Review
  • Open Access
3 Citations
3,770 Views
18 Pages

Multidetector CT Imaging Biomarkers as Predictors of Prognosis in Shock: Updates and Future Directions

  • Tullio Valente,
  • Giorgio Bocchini,
  • Candida Massimo,
  • Gaetano Rea,
  • Roberta Lieto,
  • Salvatore Guarino,
  • Emanuele Muto,
  • Ahmad Abu-Omar,
  • Mariano Scaglione and
  • Giacomo Sica

A severe mismatch between the supply and demand of oxygen is the common sequela of all types of shock, which present a mortality of up to 80%. Various organs play a protective role in shock and contribute to whole-body homeostasis. The ever-increasin...

  • Review
  • Open Access
25 Citations
10,748 Views
13 Pages

Recent Advances of Artificial Intelligence Applications in Interstitial Lung Diseases

  • Konstantinos P. Exarchos,
  • Georgia Gkrepi,
  • Konstantinos Kostikas and
  • Athena Gogali

Interstitial lung diseases (ILDs) comprise a rather heterogeneous group of diseases varying in pathophysiology, presentation, epidemiology, diagnosis, treatment and prognosis. Even though they have been recognized for several years, there are still a...

  • Article
  • Open Access
4 Citations
2,734 Views
14 Pages

Skeleton Segmentation on Bone Scintigraphy for BSI Computation

  • Po-Nien Yu,
  • Yung-Chi Lai,
  • Yi-You Chen and
  • Da-Chuan Cheng

Bone Scan Index (BSI) is an image biomarker for quantifying bone metastasis of cancers. To compute BSI, not only the hotspots (metastasis) but also the bones have to be segmented. Most related research focus on binary classification in bone scintigra...

  • Article
  • Open Access
2 Citations
2,573 Views
13 Pages

Underexpression of Carbamoyl Phosphate Synthetase I as Independent Unfavorable Prognostic Factor in Intrahepatic Cholangiocarcinoma: A Potential Theranostic Biomarker

  • Khaa Hoo Ong,
  • Yao-Yu Hsieh,
  • Ding-Ping Sun,
  • Steven Kuan-Hua Huang,
  • Yu-Feng Tian,
  • Chia-Lin Chou,
  • Yow-Ling Shiue,
  • Keva Joseph and
  • I-Wei Chang

Intrahepatic cholangiocarcinoma (IHCC) is the second most common malignant neoplasm of the liver. In spite of the increasing incidence worldwide, it is relatively rare in Western countries. IHCC is relatively common in Eastern and Southeastern Asia....

  • Systematic Review
  • Open Access
6 Citations
3,106 Views
13 Pages

Diagnostic Blood Biomarkers for Acute Pulmonary Embolism: A Systematic Review

  • Vårin Eiriksdatter Wikan,
  • Birgitte Gladsø Tøndel,
  • Vânia Maris Morelli,
  • Ellen Elisabeth Brodin,
  • Sigrid Kufaas Brækkan and
  • John-Bjarne Hansen

(1) Background: The current diagnostic algorithm for acute pulmonary embolism (PE) is associated with the overuse of CT pulmonary angiography (CTPA). An additional highly specific blood test could potentially lower the proportion of patients with sus...

  • Review
  • Open Access
14 Citations
4,020 Views
19 Pages

MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment

  • Bianca Boca,
  • Cosmin Caraiani,
  • Teodora Telecan,
  • Roxana Pintican,
  • Andrei Lebovici,
  • Iulia Andras,
  • Nicolae Crisan,
  • Alexandru Pavel,
  • Laura Diosan and
  • Mircea Marian Buruian
  • + 2 authors

(1): Background: With the recent introduction of vesical imaging reporting and data system (VI-RADS), magnetic resonance imaging (MRI) has become the main imaging method used for the preoperative local staging of bladder cancer (BCa). However, the VI...

  • Article
  • Open Access
11 Citations
3,592 Views
13 Pages

Brain-Derived Neurotrophic Factor (BDNF) and Translocator Protein (TSPO) as Diagnostic Biomarkers for Acute Ischemic Stroke

  • Mayuri N. Tuwar,
  • Wei-Hung Chen,
  • Arthur M. Chiwaya,
  • Hsu-Ling Yeh,
  • Minh H. Nguyen and
  • Chyi-Huey Bai

Brain-derived neurotrophic factor (BDNF) interacts with tropomyosin-related kinase B (TrkB) to promote neuronal growth, survival, differentiation, neurotransmitter release, and synaptic plasticity. The translocator protein (TSPO) is known to be found...

  • Article
  • Open Access
8 Citations
2,728 Views
14 Pages

Super Formula for Diagnosing Disseminated Intravascular Coagulation Using Soluble C-Type Lectin-like Receptor 2

  • Akitaka Yamamoto,
  • Hideo Wada,
  • Masaki Tomida,
  • Yuhuko Ichikawa,
  • Minoru Ezaki,
  • Katsuya Shiraki,
  • Motomu Shimaoka,
  • Toshiaki Iba,
  • Katsue Suzuki-Inoue and
  • Hideto Shimpo
  • + 1 author

The scoring systems for disseminated intravascular coagulation (DIC) criteria require several adequate cutoff values, vary, and are complicated. Accordingly, a simpler and quicker diagnostic method for DIC is needed. Under such circumstances, soluble...

  • Article
  • Open Access
20 Citations
6,948 Views
13 Pages

Applying Deep Learning Model to Predict Diagnosis Code of Medical Records

  • Jakir Hossain Bhuiyan Masud,
  • Chen-Cheng Kuo,
  • Chih-Yang Yeh,
  • Hsuan-Chia Yang and
  • Ming-Chin Lin

The International Classification of Diseases (ICD) code is a diagnostic classification standard that is frequently used as a referencing system in healthcare and insurance. However, it takes time and effort to find and use the right diagnosis code ba...

  • Review
  • Open Access
8 Citations
3,788 Views
15 Pages

Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging

  • Yoshiyuki Ozawa,
  • Yoshiharu Ohno,
  • Hiroyuki Nagata,
  • Keigo Tamokami,
  • Keitaro Nishikimi,
  • Yuka Oshima,
  • Nayu Hamabuchi,
  • Takahiro Matsuyama,
  • Takahiro Ueda and
  • Hiroshi Toyama

Dual-energy computed tomography (DECT) can improve the differentiation of material by using two different X-ray energy spectra, and may provide new imaging techniques to diagnostic radiology to overcome the limitations of conventional CT in character...

  • Review
  • Open Access
16 Citations
4,620 Views
25 Pages

Artificial Intelligence in Renal Cell Carcinoma Histopathology: Current Applications and Future Perspectives

  • Alfredo Distante,
  • Laura Marandino,
  • Riccardo Bertolo,
  • Alexandre Ingels,
  • Nicola Pavan,
  • Angela Pecoraro,
  • Michele Marchioni,
  • Umberto Carbonara,
  • Selcuk Erdem and
  • Constantijn H. J. Muselaers
  • + 8 authors

Renal cell carcinoma (RCC) is characterized by its diverse histopathological features, which pose possible challenges to accurate diagnosis and prognosis. A comprehensive literature review was conducted to explore recent advancements in the field of...

  • Case Report
  • Open Access
3 Citations
2,404 Views
8 Pages

The most common malignancy in women is breast cancer, and the second one is colon cancer. Synchronous breast and colon cancers are rare. Here, we reported a 60-year-old woman with a left breast mass for six months. Biopsy revealed an invasive ductal...

  • Article
  • Open Access
10 Citations
2,673 Views
17 Pages

The Role of BIA Analysis in Osteoporosis Risk Development: Hierarchical Clustering Approach

  • Giacinto Angelo Sgarro,
  • Luca Grilli,
  • Anna Antonia Valenzano,
  • Fiorenzo Moscatelli,
  • Domenico Monacis,
  • Giusi Toto,
  • Antonella De Maria,
  • Giovanni Messina and
  • Rita Polito

Osteoporosis is a common musculoskeletal disorder among the elderly and a chronic condition which, like many other chronic conditions, requires long-term clinical management. It is caused by many factors, including lifestyle and obesity. Bioelectrica...

  • Article
  • Open Access
2 Citations
2,048 Views
24 Pages

Mutations in genes can alter their DNA patterns, and by recognizing these mutations, many carcinomas can be diagnosed in the progression stages. The human body contains many hidden and enigmatic features that humankind has not yet fully understood. A...

  • Systematic Review
  • Open Access
6 Citations
3,332 Views
15 Pages

Diagnostic Efficacy of Carotid Ultrasound for Predicting the Risk of Perioperative Hypotension or Fluid Responsiveness: A Meta-Analysis

  • Kuo-Chuan Hung,
  • Yen-Ta Huang,
  • Wen-Wen Tsai,
  • Ping-Heng Tan,
  • Jheng-Yan Wu,
  • Po-Yu Huang,
  • Ting-Hui Liu,
  • I-Wen Chen and
  • Cheuk-Kwan Sun

Despite the acceptance of carotid ultrasound for predicting patients’ fluid responsiveness in critical care and anesthesia, its efficacy for predicting hypotension and fluid responsiveness remains unclear in the perioperative setting. Electroni...

  • Article
  • Open Access
4 Citations
2,800 Views
17 Pages

Prediction of Distant Metastases in Patients with Kidney Cancer Based on Gene Expression and Methylation Analysis

  • Natalya Apanovich,
  • Alexey Matveev,
  • Natalia Ivanova,
  • Alexey Burdennyy,
  • Pavel Apanovich,
  • Irina Pronina,
  • Elena Filippova,
  • Tatiana Kazubskaya,
  • Vitaly Loginov and
  • Andrei Alimov
  • + 1 author

Clear cell renal cell carcinoma (ccRCC) is the most common and aggressive histological type of cancer in this location. Distant metastases are present in approximately 30% of patients at the time of first examination. Therefore, the ability to predic...

  • Article
  • Open Access
3 Citations
3,055 Views
9 Pages

Bronchiectasis Assessment in Primary Ciliary Dyskinesia: A Non-Invasive Approach Using Forced Oscillation Technique

  • Wilfredo De Jesús-Rojas,
  • Luis Reyes-Peña,
  • José Muñiz-Hernández,
  • Patricia Quiles Ruiz de Porras,
  • Jesús Meléndez-Montañez,
  • Marcos J. Ramos-Benitez and
  • Ricardo A. Mosquera

Primary ciliary dyskinesia (PCD) is an autosomal recessive disorder that results from the dysfunction of motile cilia, which can cause chronic upper and lower respiratory infections leading to bronchiectasis. However, there is a need for additional t...

  • Article
  • Open Access
4,464 Views
12 Pages

Bleeding-Source Exploration in Subdural Hematoma: Observational Study on the Usefulness of Postmortem Computed Tomography Angiography

  • Kazuhisa Funayama,
  • Akihide Koyama,
  • Rieka Katsuragi-Go,
  • Takashi Aoyama,
  • Hiraku Watanabe,
  • Naoya Takahashi and
  • Hisakazu Takatsuka

In a few cases, postmortem computed tomography angiography (PMCTA) is effective in postmortem detection of cortical artery rupture causing subdural hematoma (SDH), which is difficult to detect at autopsy. Here, we explore the usefulness and limitatio...

  • Article
  • Open Access
8 Citations
2,469 Views
13 Pages

Non-Rigid Registration for High-Resolution Retinal Imaging

  • Mircea Mujat,
  • James D. Akula,
  • Anne B. Fulton,
  • R. Daniel Ferguson and
  • Nicusor Iftimia

Adaptive optics provides improved resolution in ophthalmic imaging when retinal microstructures need to be identified, counted, and mapped. In general, multiple images are averaged to improve the signal-to-noise ratio or analyzed for temporal dynamic...

  • Review
  • Open Access
33 Citations
19,815 Views
28 Pages

Marfan Syndrome: Enhanced Diagnostic Tools and Follow-up Management Strategies

  • Susan Marelli,
  • Emanuele Micaglio,
  • Jacopo Taurino,
  • Paolo Salvi,
  • Erica Rurali,
  • Gianluca L. Perrucci,
  • Claudia Dolci,
  • Nathasha Samali Udugampolage,
  • Rosario Caruso and
  • Alessandro Pini
  • + 7 authors

Marfan syndrome (MFS) is a rare inherited autosomic disorder, which encompasses a variety of systemic manifestations caused by mutations in the Fibrillin-1 encoding gene (FBN1). Cardinal clinical phenotypes of MFS are highly variable in terms of seve...

  • Review
  • Open Access
20 Citations
8,286 Views
22 Pages

Up-to-Date Imaging and Diagnostic Techniques for Prostate Cancer: A Literature Review

  • Ming Zhu,
  • Zhen Liang,
  • Tianrui Feng,
  • Zhipeng Mai,
  • Shijie Jin,
  • Liyi Wu,
  • Huashan Zhou,
  • Yuliang Chen and
  • Weigang Yan

Prostate cancer (PCa) faces great challenges in early diagnosis, which often leads not only to unnecessary, invasive procedures, but to over-diagnosis and treatment as well, thus highlighting the need for modern PCa diagnostic techniques. The review...

  • Article
  • Open Access
20 Citations
4,005 Views
16 Pages

Performance Analysis of Segmentation and Classification of CT-Scanned Ovarian Tumours Using U-Net and Deep Convolutional Neural Networks

  • Ashwini Kodipalli,
  • Steven L. Fernandes,
  • Vaishnavi Gururaj,
  • Shriya Varada Rameshbabu and
  • Santosh Dasar

Difficulty in detecting tumours in early stages is the major cause of mortalities in patients, despite the advancements in treatment and research regarding ovarian cancer. Deep learning algorithms were applied to serve the purpose as a diagnostic too...

  • Review
  • Open Access
23 Citations
59,085 Views
15 Pages

Bed Bugs (Hemiptera, Cimicidae): A Global Challenge for Public Health and Control Management

  • Mohammad Akhoundi,
  • Coralie Zumelzu,
  • Denis Sereno,
  • Anthony Marteau,
  • Sophie Brun,
  • Julie Jan and
  • Arezki Izri

Bed bugs, Cimex lectularius, and C. hemipterus are among the most common ectoparasites in human life worldwide. They feed on humans of all ages and sexes across all socioeconomic levels. Bed bugs’ blood feeding is responsible for a wide range o...

  • Article
  • Open Access
30 Citations
5,377 Views
19 Pages

YOLOv5-FPN: A Robust Framework for Multi-Sized Cell Counting in Fluorescence Images

  • Bader Aldughayfiq,
  • Farzeen Ashfaq,
  • N. Z. Jhanjhi and
  • Mamoona Humayun

Cell counting in fluorescence microscopy is an essential task in biomedical research for analyzing cellular dynamics and studying disease progression. Traditional methods for cell counting involve manual counting or threshold-based segmentation, whic...

  • Article
  • Open Access
2 Citations
3,769 Views
15 Pages

Optimal Abdominal CT Image Quality in Non-Lean Patients: Customization of CM Injection Protocols and Low-Energy Acquisitions

  • Francesco Macri,
  • Elina Khasanova,
  • Bonnie T. Niu,
  • Anushri Parakh,
  • Manuel Patino,
  • Avinash Kambadakone and
  • Dushyant V. Sahani

We compared the image quality of abdominopelvic single-energy CT with 100 kVp (SECT-100 kVp) and dual-energy CT with 65 keV (DECT-65 keV) obtained with customized injection protocols to standard abdominopelvic CT scans (SECT-120 kVp) with fixed volum...

  • Brief Report
  • Open Access
7 Citations
2,068 Views
9 Pages

A Multivariant Surrogate Neutralization Assay Identifies Variant-Specific Neutralizing Antibody Profiles in Primary SARS-CoV-2 Omicron Infection

  • David Niklas Springer,
  • Marianna Traugott,
  • Elisabeth Reuberger,
  • Klaus Benjamin Kothbauer,
  • Christian Borsodi,
  • Michelle Nägeli,
  • Theresa Oelschlägel,
  • Hasan Kelani,
  • Oliver Lammel and
  • Lukas Weseslindtner
  • + 5 authors

Primary infection with the Omicron variant of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) can be serologically identified with distinct profiles of neutralizing antibodies (nAbs), as indicated by high titers against the Omicron vari...

  • Review
  • Open Access
15 Citations
3,176 Views
21 Pages

Could Endothelin-1 Be a Promising Neurohormonal Biomarker in Acute Heart Failure?

  • Bianca-Ana Dmour,
  • Alexandru Dan Costache,
  • Awad Dmour,
  • Bogdan Huzum,
  • Ștefania Teodora Duca,
  • Adriana Chetran,
  • Radu Ștefan Miftode,
  • Irina Afrăsânie,
  • Cristina Tuchiluș and
  • Irina Iuliana Costache
  • + 5 authors

Acute heart failure (AHF) is a life-threatening condition with high morbidity and mortality. Even though this pathology has been extensively researched, there are still challenges in establishing an accurate and early diagnosis, determining the long-...

  • Article
  • Open Access
7 Citations
5,060 Views
11 Pages

Core Needle Biopsy Guidance Based on Tissue Morphology Assessment with AI-OCT Imaging

  • Gopi Maguluri,
  • John Grimble,
  • Aliana Caron,
  • Ge Zhu,
  • Savitri Krishnamurthy,
  • Amanda McWatters,
  • Gillian Beamer,
  • Seung-Yi Lee and
  • Nicusor Iftimia

This paper presents a combined optical imaging/artificial intelligence (OI/AI) technique for the real-time analysis of tissue morphology at the tip of the biopsy needle, prior to collecting a biopsy specimen. This is an important clinical problem as...

  • Article
  • Open Access
11 Citations
4,277 Views
13 Pages

Predicting Complicated Appendicitis in Children: Pros and Cons of a New Score Combining Clinical Signs, Laboratory Values, and Ultrasound Images (CLU Score)

  • Konstantina Bekiaridou,
  • Katerina Kambouri,
  • Alexandra Giatromanolaki,
  • Soultana Foutzitzi,
  • Maria Kouroupi,
  • Maria Aggelidou and
  • Savas Deftereos

Background: This retrospective study aimed to combine the clinical signs, laboratory values, and ultrasound images of 199 children with acute appendicitis in order to create a new predictive score for complicated appendicitis in children. Methods: Th...

  • Article
  • Open Access
31 Citations
8,198 Views
24 Pages

The Application of Deep Learning for the Segmentation and Classification of Coronary Arteries

  • Şerife Kaba,
  • Huseyin Haci,
  • Ali Isin,
  • Ahmet Ilhan and
  • Cenk Conkbayir

In recent years, the prevalence of coronary artery disease (CAD) has become one of the leading causes of death around the world. Accurate stenosis detection of coronary arteries is crucial for timely treatment. Cardiologists use visual estimations wh...

  • Article
  • Open Access
5 Citations
2,030 Views
12 Pages

Quantitative Edge Analysis of Pancreatic Margins in Patients with Chronic Pancreatitis: A Correlation with Exocrine Function

  • Maria Chiara Ambrosetti,
  • Annamaria Grecchi,
  • Alberto Ambrosetti,
  • Antonio Amodio,
  • Giancarlo Mansueto,
  • Stefania Montemezzi and
  • Giulia A. Zamboni

Background: Many efforts have been made to improve accuracy and sensitivity in diagnosing chronic pancreatitis (CP), obtaining quantitative assessments related to functional data. Our purpose was to correlate a computer-assisted analysis of pancreati...

  • Review
  • Open Access
13 Citations
3,750 Views
13 Pages

Continuous Glucose Monitoring in Transient Neonatal Diabetes Mellitus—2 Case Reports and Literature Review

  • Tatiana Chisnoiu,
  • Adriana Luminita Balasa,
  • Larisia Mihai,
  • Ancuta Lupu,
  • Corina Elena Frecus,
  • Irina Ion,
  • Antonio Andrusca,
  • Alexandru Cosmin Pantazi,
  • Maria Nicolae and
  • Simona Claudia Cambrea
  • + 3 authors

Neonatal diabetes mellitus is a rare genetic disease that affects 1 in 90,000 live births. The start of the disease is often before the baby is 6 months old, with rare cases of onset between 6 months and 1 year. It is characterized by low or absent i...

  • Article
  • Open Access
7 Citations
1,682 Views
12 Pages

Comparison of Predictive Properties between Tools of Patient-Reported Outcomes: Risk Prediction for Three Future Events in Subjects with COPD

  • Koichi Nishimura,
  • Masaaki Kusunose,
  • Ryo Sanda,
  • Mio Mori,
  • Ayumi Shibayama and
  • Kazuhito Nakayasu

Background: Patient-reported outcome (PRO) measures must be evaluated for their discriminatory, evaluative, and predictive properties. However, the predictive capability remains unclear. We aimed to examine the predictive properties of several PRO me...

  • Review
  • Open Access
6 Citations
3,628 Views
20 Pages

The Role of Transabdominal Ultrasound Elastography in Gastrointestinal Non-Liver Diseases: Current Application and Future Prospectives

  • Mattia Paratore,
  • Matteo Garcovich,
  • Maria Elena Ainora,
  • Livio Enrico Del Vecchio,
  • Giuseppe Cuccia,
  • Laura Riccardi,
  • Maurizio Pompili,
  • Antonio Gasbarrini and
  • Maria Assunta Zocco

Ultrasound imaging is the first-line investigation for patients with abdominal symptoms, as it effectively depicts the gastrointestinal tract and enables the diagnosis of multiple pathological conditions. Among different recent ultrasound technologic...

  • Article
  • Open Access
16 Citations
2,583 Views
13 Pages

(1) The degree of cytoreduction achieved during primary debulking surgery (PDS) is an important prognostic factor for the survival of patients with epithelial ovarian cancer (EOC). Our aim was to investigate the prognostic value of preoperative labor...

  • Article
  • Open Access
5 Citations
1,934 Views
16 Pages

Urinary Metabolomic Analysis of Prostate Cancer by UPLC-FTMS and UPLC-Ion Trap MSn

  • Chien-Lun Chen,
  • Yi-Ting Chen,
  • Wen-Yu Liao,
  • Yu-Sun Chang,
  • Jau-Song Yu and
  • Bao-Rong Juo

Accumulative evidence suggests metabolic disorders correlate with prostate cancer. Metabolic profiling of urine allows the measurement of numerous metabolites simultaneously. This study set up a metabolomic platform consisting of UPLC-FTMS and UPLC-i...

  • Case Report
  • Open Access
6 Citations
2,378 Views
8 Pages

Usefulness of Contrast-Enhanced Endoscopic Ultrasound (CH-EUS) to Guide the Treatment Choice in Superficial Rectal Lesions: A Case Series

  • Giulia Gibiino,
  • Monica Sbrancia,
  • Cecilia Binda,
  • Chiara Coluccio,
  • Stefano Fabbri,
  • Paolo Giuffrida,
  • Graziana Gallo,
  • Luca Saragoni,
  • Roberta Maselli and
  • Carlo Fabbri
  • + 1 author

Introduction: Large rectal lesions can conceal submucosal invasion and cancer nodules. Despite the increasing diffusion of high-definition endoscopes and the importance of an accurate morphological evaluation, a complete assessment in this setting ca...

  • Review
  • Open Access
27 Citations
9,773 Views
14 Pages

New Insights into Genetics of Endometriosis—A Comprehensive Literature Review

  • Diana Maria Chiorean,
  • Melinda-Ildiko Mitranovici,
  • Havva Serap Toru,
  • Titiana Cornelia Cotoi,
  • Alexandru Nicușor Tomuț,
  • Sabin Gligore Turdean and
  • Ovidiu Simion Cotoi

This comprehensive review explores the genetic contributions to endometriosis and their potential impact on improving diagnostic techniques. The review begins by defining endometriosis and discussing its prevalence, emphasizing the need for a deeper...

  • Article
  • Open Access
14 Citations
3,089 Views
11 Pages

Privacy-Aware Collaborative Learning for Skin Cancer Prediction

  • Qurat ul Ain,
  • Muhammad Amir Khan,
  • Muhammad Mateen Yaqoob,
  • Umar Farooq Khattak,
  • Zohaib Sajid,
  • Muhammad Ijaz Khan and
  • Amal Al-Rasheed

Cancer, including the highly dangerous melanoma, is marked by uncontrolled cell growth and the possibility of spreading to other parts of the body. However, the conventional approach to machine learning relies on centralized training data, posing cha...

  • Article
  • Open Access
7 Citations
2,023 Views
10 Pages

The Predictive Value of Lung Ultrasound Score on Hemodynamically Significant Patent Ductus Arteriosus among Neonates ≤25 Weeks

  • Haifeng Zong,
  • Zhifeng Huang,
  • Bingchun Lin,
  • Jie Zhao,
  • Yongping Fu,
  • Yanliang Yu,
  • Hongyan Sun and
  • Chuanzhong Yang

Lung ultrasound (LU) is increasingly used to diagnose and monitor neonatal pulmonary disorders; however, its role in hemodynamically significant patent ductus arteriosus (hsPDA) has not been elucidated. This prospective study investigated the predict...

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Diagnostics - ISSN 2075-4418