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Diagnostics, Volume 15, Issue 6

March-2 2025 - 144 articles

Cover Story: Chronic kidney disease in diabetes (DKD) affects up to 50% of people with type 2 diabetes (T2D), leading to high morbidity, mortality, and healthcare costs. The standard of care relies on the estimated glomerular filtration rate (eGFR) and urinary albumin/creatinine ratio (uACR), but these measures are highly variable due to factors like diet and exercise, limiting their accuracy. More precise prognostic tools are needed to improve DKD risk assessment in T2D. This study evaluates the biomarker-based PromarkerD test against eGFR and uACR for predicting kidney decline in people with T2D. PromarkerD demonstrated superior predictive accuracy, identifying 84% of cases that were missed by standard tests, with better risk stratification and fewer false positives. View this paper
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Articles (144)

  • Systematic Review
  • Open Access
2 Citations
1,042 Views
15 Pages

Clinicopathological Comparison Between GREB1- and ESR1-Rearranged Uterine Tumors Resembling Ovarian Sex Cord Tumors (UTROSCTs): A Systematic Review

  • Livia Maccio,
  • Damiano Arciuolo,
  • Angela Santoro,
  • Antonio Raffone,
  • Diego Raimondo,
  • Susanna Ronchi,
  • Nicoletta D’Alessandris,
  • Giulia Scaglione,
  • Michele Valente and
  • Belen Padial Urtueta
  • + 8 authors

Introduction: Among uterine tumors resembling ovarian sex cord tumors (UTROSCTs), it has been suggested that GREB1-rearranged cases are biologically distinct from ESR1-rearranged cases and might be considered as a separate entity. Objectives: The aim...

  • Article
  • Open Access
1,053 Views
19 Pages

Background: Recent studies have analyzed some cytokines in patients with papillary thyroid carcinoma (PTC), but simultaneous analysis of multiple cytokines remains rare. Nonetheless, the simultaneous assessment of multiple cytokines is increasingly r...

  • Article
  • Open Access
896 Views
14 Pages

Improving Diagnostic Performance for Head and Neck Tumors with Simple Diffusion Kurtosis Imaging and Machine Learning Bi-Parameter Analysis

  • Suzuka Yoshida,
  • Masahiro Kuroda,
  • Yoshihide Nakamura,
  • Yuka Fukumura,
  • Yuki Nakamitsu,
  • Wlla E. Al-Hammad,
  • Kazuhiro Kuroda,
  • Yudai Shimizu,
  • Yoshinori Tanabe and
  • Masataka Oita
  • + 7 authors

Background/Objectives: Mean kurtosis (MK) values in simple diffusion kurtosis imaging (SDI)—a type of diffusion kurtosis imaging (DKI)—have been reported to be useful in the diagnosis of head and neck malignancies, for which pre-processin...

  • Article
  • Open Access
7 Citations
1,798 Views
36 Pages

A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging

  • Joy Chakra Bortty,
  • Gouri Shankar Chakraborty,
  • Inshad Rahman Noman,
  • Salil Batra,
  • Joy Das,
  • Kanchon Kumar Bishnu,
  • Md Tanvir Rahman Tarafder and
  • Araf Islam

Background/Objectives: Alzheimer’s disease (AD) is a progressive, neurodegenerative disorder, which causes memory loss and loss of cognitive functioning, along with behavioral changes. Early detection is important to delay disease progression,...

  • Article
  • Open Access
1 Citations
1,228 Views
9 Pages

MRI Detection of Unknown Primary Tumours in the Head and Neck: What Is the Expected Normal Asymmetry in the Size of the Palatine Tonsils?

  • Kaijing Mao,
  • Qi Yong H. Ai,
  • Kuo Feng Hung,
  • Irene O. L. Tse,
  • Ho Sang Leung,
  • Yannis Yan Liang,
  • Yu Chen,
  • Lun M. Wong,
  • W. K. Jacky Lam and
  • Ann D. King

Background/Objectives: The detection of unknown primary tumours in the palatine tonsils (PTs) on imaging relies heavily on asymmetry in size between the right and left sides, but the expected normal range in asymmetry is not well documented. This stu...

  • Review
  • Open Access
10 Citations
3,181 Views
28 Pages

AI and Smart Devices in Cardio-Oncology: Advancements in Cardiotoxicity Prediction and Cardiovascular Monitoring

  • Luiza Camelia Nechita,
  • Dana Tutunaru,
  • Aurel Nechita,
  • Andreea Elena Voipan,
  • Daniel Voipan,
  • Ancuta Elena Tupu and
  • Carmina Liana Musat

The increasing prevalence of cardiovascular complications in cancer patients due to cardiotoxic treatments has necessitated advanced monitoring and predictive solutions. Cardio-oncology is an evolving interdisciplinary field that addresses these chal...

  • Article
  • Open Access
911 Views
10 Pages

Do We Need to Add the Type of Treatment Planning System, Dose Calculation Grid Size, and CT Density Curve to Predictive Models?

  • Reza Reiazi,
  • Surendra Prajapati,
  • Leonardo Che Fru,
  • Dongyeon Lee and
  • Mohammad Salehpour

Background: Generalizability and domain dependency are critical challenges in developing predictive models for healthcare, particularly in medical diagnostics and radiation oncology. Predictive models designed to assess tumor recurrence rely on compr...

  • Systematic Review
  • Open Access
3 Citations
3,786 Views
22 Pages

What the Radiologist Needs to Know About Sport Hernias: A Systematic Review of the Current Literature

  • Gian Nicola Bisciotti,
  • Andrea Bisciotti,
  • Alessandro Bisciotti and
  • Alessio Auci

Introduction: The sports hernia (SH) is one of the most important causes of groin pain syndrome (GPS). However, despite its importance in GPS etiopathogenesis, SH is one of the least understood and poorly defined clinical conditions in sports medicin...

  • Article
  • Open Access
1 Citations
2,986 Views
13 Pages

Background: Recent studies indicate that the organo-axial subtype of a sigmoid volvulus is more prevalent than the conventional mesentero-axial subtype. Our study aimed to assess the clinical and radiological findings that differentiate between these...

  • Article
  • Open Access
2 Citations
1,127 Views
16 Pages

Machine Learning Based Multi-Parameter Modeling for Prediction of Post-Inflammatory Lung Changes

  • Gerlig Widmann,
  • Anna Katharina Luger,
  • Thomas Sonnweber,
  • Christoph Schwabl,
  • Katharina Cima,
  • Anna Katharina Gerstner,
  • Alex Pizzini,
  • Sabina Sahanic,
  • Anna Boehm and
  • Maxmilian Coen
  • + 8 authors

Objectives: Prediction of lung function deficits following pulmonary infection is challenging and suffers from inaccuracy. We sought to develop machine-learning models for prediction of post-inflammatory lung changes based on COVID-19 recovery data....

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Diagnostics - ISSN 2075-4418