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Diagnostics, Volume 13, Issue 1

January-1 2023 - 168 articles

Cover Story: Chest X-ray (CXR) is among the most frequently used medical imaging modalities by Radiologists and Physicians. It has a preeminent value in the detection of multiple life-threatening diseases. Most thoracic diseases have similar patterns, which makes diagnosis prone to human error. Deep learning (DL) provides techniques to make this task more efficient. This work reviews recent advances in DL for CXR disease detection. We present the developed algorithms, the preprocessing techniques and the available datasets. We discuss the challenges present in the published literature and highlight the importance of interpretability and explainability to better understand the models’ detections. Finally, we outline a direction for researchers to help develop more effective models for the early detection of chest diseases. View this paper 
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Articles (168)

  • Article
  • Open Access
34 Citations
6,308 Views
12 Pages

Determining HER2 Status by Artificial Intelligence: An Investigation of Primary, Metastatic, and HER2 Low Breast Tumors

  • Christiane Palm,
  • Catherine E. Connolly,
  • Regina Masser,
  • Barbara Padberg Sgier,
  • Eva Karamitopoulou,
  • Quentin Simon,
  • Beata Bode and
  • Marianne Tinguely

The expression of human epidermal growth factor receptor 2 (HER2) protein or gene transcripts is critical for therapeutic decision making in breast cancer. We examined the performance of a digitalized and artificial intelligence (AI)-assisted workflo...

  • Article
  • Open Access
14 Citations
4,893 Views
30 Pages

Mental deterioration or Alzheimer’s (ALZ) disease is progressive and causes both physical and mental dependency. There is a need for a computer-aided diagnosis (CAD) system that can help doctors make an immediate decision. (1) Background: Curre...

  • Article
  • Open Access
12 Citations
2,972 Views
11 Pages

Prognostic Role of Vascular Endothelial Growth Factor and Correlation with Oxidative Stress Markers in Locally Advanced and Metastatic Ovarian Cancer Patients

  • Oana Gabriela Trifanescu,
  • Laurentia Nicoleta Gales,
  • Bogdan Cosmin Tanase,
  • Serban Andrei Marinescu,
  • Raluca Alexandra Trifanescu,
  • Iuliana Maria Gruia,
  • Mihai Andrei Paun,
  • Laura Rebegea,
  • Radu Mitrica and
  • Luiza Serbanescu
  • + 1 author

Background: Vascular endothelial growth factor (VEGF) plays an important role in tumor progression in ovarian cancer, but the complex mechanism and interaction with oxidative stress are not fully understood. Methods: A prospective study included 52 p...

  • Article
  • Open Access
3 Citations
3,653 Views
13 Pages

Oncologic Outcome after Pulmonary Metastasectomy as Part of Multidisciplinary Treatment in a Tertiary Oncological Center

  • Natalia Motas,
  • Mihnea Dan Davidescu,
  • Bogdan Cosmin Tanase,
  • Ovidiu Rus,
  • Alin Ionut Burlacu,
  • Vlad Alexe,
  • Veronica Manolache,
  • Madalina Cristiana Mizea,
  • Nicolae Gheorghiu and
  • Oana Gabriela Trifanescu
  • + 3 authors

(1) Background: Pulmonary metastases are encountered in approximately one-third of patients with malignancies, especially from colorectal, lung, breast, and renal cancers, and sarcomas. Pulmonary metastasectomy is the ablative approach of choice, whe...

  • Review
  • Open Access
7 Citations
2,164 Views
11 Pages

Right Ventricle and Radiotherapy: More Questions than Answers

  • Marijana Tadic,
  • Johannes Kersten,
  • Dominik Buckert,
  • Wolfgang Rottbauer and
  • Cesare Cuspidi

The injury of the left ventricle (LV) during anticancer therapy has long been recognized, and guidelines recommend a specific set of parameters for determination of LV impairment. The influence of anticancer therapy on the right ventricle (RV) has be...

  • Review
  • Open Access
11 Citations
4,548 Views
29 Pages

Molecular Genetics of Thrombotic Myeloproliferative Neoplasms: Implications in Precision Oncology

  • Yuh Cai Chia,
  • Mat Jusoh Siti Asmaa,
  • Marini Ramli,
  • Peng Yeong Woon,
  • Muhammad Farid Johan,
  • Rosline Hassan and
  • Md Asiful Islam

Classical BCR-ABL-negative myeloproliferative neoplasms (MPN) include polycythaemia vera, essential thrombocythaemia, and primary myelofibrosis. Unlike monogenic disorders, a more complicated series of genetic mutations are believed to be responsible...

  • Systematic Review
  • Open Access
151 Citations
18,887 Views
26 Pages

Breast cancer is one of the precarious conditions that affect women, and a substantive cure has not yet been discovered for it. With the advent of Artificial intelligence (AI), recently, deep learning techniques have been used effectively in breast c...

  • Article
  • Open Access
60 Citations
4,907 Views
24 Pages

Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs, computed tomography (CT) scan, and electrocardiogram (ECG) trace images are t...

  • Article
  • Open Access
6 Citations
3,682 Views
13 Pages

A Deep Learning System for Automated Quality Evaluation of Optic Disc Photographs in Neuro-Ophthalmic Disorders

  • Ebenezer Chan,
  • Zhiqun Tang,
  • Raymond P. Najjar,
  • Arun Narayanaswamy,
  • Kanchalika Sathianvichitr,
  • Nancy J. Newman,
  • Valérie Biousse,
  • Dan Milea and
  • for the BONSAI Group

The quality of ocular fundus photographs can affect the accuracy of the morphologic assessment of the optic nerve head (ONH), either by humans or by deep learning systems (DLS). In order to automatically identify ONH photographs of optimal quality, w...

  • Review
  • Open Access
65 Citations
18,819 Views
36 Pages

Chest X-ray radiography (CXR) is among the most frequently used medical imaging modalities. It has a preeminent value in the detection of multiple life-threatening diseases. Radiologists can visually inspect CXR images for the presence of diseases. M...

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Diagnostics - ISSN 2075-4418