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Diagnostics, Volume 15, Issue 8

April-2 2025 - 108 articles

Cover Story: Breast cancer remains one of the leading causes of cancer-related mortality among women. Early detection through mammography is essential but often limited by variability in radiologist interpretation. This study compares machine learning (ML)-based radiomics and deep learning (DL) approaches for classifying breast lesions. Radiomic features were extracted from 1219 mammograms in the CBIS-DDSM dataset using matRadiomics, while an EfficientNetB6-based DL model was also evaluated. The ML radiomic model achieved area-under-the-curve values of 68.3% for microcalcifications and 61.5% for masses. In contrast, the DL model reached 81.5% and 76.2%, respectively, demonstrating its superior performance and greater potential for accurate breast cancer diagnosis. View this paper
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Articles (108)

  • Article
  • Open Access
2,098 Views
10 Pages

First Report of Ethylenediaminetetraacetic Acid-Dependent Pseudo-Thrombocytopenia in Chile: Prevalence and Laboratory Insights

  • Mario Balcázar-Villarroel,
  • Florencia Carmine,
  • Francisco Torrens,
  • Katherine Birditt and
  • Cristian Sandoval

Background: Ethylenediaminetetraacetic acid-dependent pseudo thrombocytopenia (EDTA-PCTP) is defined as a false in vitro decrease in the platelet count performed in the EDTA tube due to the spontaneous formation of platelet aggregates that prevent a...

  • Article
  • Open Access
1,114 Views
16 Pages

Background: Quantitative magnetic resonance imaging (MRI) techniques such as T2 mapping may detect early tendon changes following biologic therapies. This study aimed to assess the structural remodeling of the supraspinatus tendon using mean T2 value...

  • Article
  • Open Access
1,353 Views
13 Pages

Background/Objectives: This study investigated the prognostic and predictive significance of Ataxia–Telangiectasia Mutated (ATM) expression in patients with metastatic non-small-cell lung cancer (NSCLC) who were treated with pembrolizumab. Meth...

  • Article
  • Open Access
1,945 Views
11 Pages

Performance of the 2021 Estimated Glomerular Filtration Rate CKD-EPI Refit and the European Kidney Function Consortium (EKFC) Formulas

  • Evelyn O. Ilori,
  • Casey R. Cai,
  • Fatou Sahor,
  • Brianna Wilson,
  • Tanooha Veeramachaneni,
  • Samir M. Parikh and
  • Ibrahim A. Hashim

Background: The glomerular filtration rate (GFR) is a universal clinical measure central to assessing kidney function and to the management of kidney disorders. Several formulas for the estimation of GFR are in use. The European Kidney Function Conso...

  • Article
  • Open Access
1 Citations
1,582 Views
10 Pages

Early-Branched Short Renal Arteries Are False Multiple Renal Arteries

  • Adelina Maria Jianu,
  • Nawwaf Sebastian Damen,
  • Monica Adriana Vaida,
  • Laura Octavia Grigoriță,
  • Marius Ioan Rusu and
  • Mugurel Constantin Rusu

Background/Objectives: During retroperitoneal surgery, awareness of the anatomic variants of renal arteries (RAs) is essential. We aimed to determine the prevalence of early-branched (short) Ras, the bilateral morphologies of RAs in such cases, and t...

  • Review
  • Open Access
13 Citations
4,372 Views
13 Pages

Impact of Multiplex PCR on Diagnosis of Bacterial and Fungal Infections and Choice of Appropriate Antimicrobial Therapy

  • Francesca Serapide,
  • Rita Pallone,
  • Angela Quirino,
  • Nadia Marascio,
  • Giorgio Settimo Barreca,
  • Chiara Davoli,
  • Rosaria Lionello,
  • Giovanni Matera and
  • Alessandro Russo

Multiplex Polymerase Chain Reaction (PCR) has significantly impacted the field of infectious disease diagnostics, offering rapid and precise identification of bacterial and fungal pathogens. Unlike traditional culture methods, which may take days to...

  • Article
  • Open Access
1 Citations
1,174 Views
15 Pages

Background: Spectral detector computed tomography (SDCT) has demonstrated superior diagnostic performance and image quality in liver disease assessment compared with traditional CT. Selecting the right reconstruction algorithm and tube voltage is ess...

  • Article
  • Open Access
1 Citations
800 Views
12 Pages

Immunoexpressions of PD-L1 and EZH2 in Endometrial Carcinoma: Associations with Clinicopathological Parameters

  • Badrul Iskandar Abdul Wahab,
  • Shamsul Azhar Shah,
  • Roslina Mohd Arshad,
  • Nurwardah Alfian,
  • Geok Chin Tan and
  • Yin Ping Wong

Background: This study investigated PD-L1 and EZH2 immunoexpressions in endometrial carcinomas (ECs) and correlated their associations with clinicopathological parameters and five-year survival outcomes. Methods: A cross-sectional, retrospective stud...

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Diagnostics - ISSN 2075-4418