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Diagnostics, Volume 11, Issue 10

2021 October - 203 articles

Cover Story: Multiple myeloma is a plasma cell dyscrasia characterized by focal and nonfocal bone lesions. This retrospective study analyzed radiomics features associated to both focal lesions and the whole skeleton asset by means of artificial intelligence algorithms. Using unsupervised clustering techniques, we were able to realize patients’ stratification relying just on image-based features. The resulting radiomics skill scores were higher than the ones associated with a standard cytogenetic classification, thus showing that image- and AI-based risk prediction for multiple myeloma patients is possible. View this paper
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Articles (203)

  • Case Report
  • Open Access
7 Citations
3,417 Views
9 Pages

Dominating Cause of Pulmonary Hypertension May Change Over Time—Diagnostic and Therapeutic Considerations in a Patient with Pulmonary Hypertension Due to Rheumatoid Arthritis with Lung Involvement

  • Monika Szturmowicz,
  • Monika Franczuk,
  • Małgorzata Ewa Jędrych,
  • Dorota Wyrostkiewicz,
  • Karina Oniszh,
  • Szymon Darocha,
  • Krzysztof Kasperowicz and
  • Marcin Kurzyna

19 October 2021

Chronic lung diseases are one of the most frequent causes of pulmonary hypertension (PH). The diagnostic challenge is to differentiate PH due to chronic lung disease from pulmonary arterial hypertension (PAH) with coexisting chronic lung disease. Mor...

  • Article
  • Open Access
9 Citations
5,484 Views
15 Pages

Visual Evaluation of Image Quality of a Low Dose 2D/3D Slot Scanner Imaging System Compared to Two Conventional Digital Radiography X-ray Imaging Systems

  • Ahmed Jibril Abdi,
  • Bo Mussmann,
  • Alistair Mackenzie,
  • Oke Gerke,
  • Gitte Maria Jørgensen,
  • Thor Eriksen Bechsgaard,
  • Janni Jensen,
  • Lone Brunshøj Olsen and
  • Poul Erik Andersen

19 October 2021

The purpose of this study was to assess the image quality of the low dose 2D/3D slot scanner (LDSS) imaging system compared to conventional digital radiography (DR) imaging systems. Visual image quality was assessed using the visual grading analysis...

  • Article
  • Open Access
20 Citations
4,503 Views
12 Pages

Keratoconus Diagnostic and Treatment Algorithms Based on Machine-Learning Methods

  • Boris Malyugin,
  • Sergej Sakhnov,
  • Svetlana Izmailova,
  • Ernest Boiko,
  • Nadezhda Pozdeyeva,
  • Lyubov Axenova,
  • Kirill Axenov,
  • Aleksej Titov,
  • Anna Terentyeva and
  • Viktoriya Myasnikova
  • + 1 author

19 October 2021

The accurate diagnosis of keratoconus, especially in its early stages of development, allows one to utilise timely and proper treatment strategies for slowing the progression of the disease and provide visual rehabilitation. Various keratometry indic...

  • Article
  • Open Access
2 Citations
2,992 Views
16 Pages

MAGnitude-Image-to-Complex K-space (MAGIC-K) Net: A Data Augmentation Network for Image Reconstruction

  • Fanwen Wang,
  • Hui Zhang,
  • Fei Dai,
  • Weibo Chen,
  • Chengyan Wang and
  • He Wang

19 October 2021

Deep learning has demonstrated superior performance in image reconstruction compared to most conventional iterative algorithms. However, their effectiveness and generalization capability are highly dependent on the sample size and diversity of the tr...

  • Review
  • Open Access
5 Citations
6,736 Views
12 Pages

The Role of Bronchoscopy in the Diagnosis and Management of Patients with SARS-Cov-2 Infection

  • Davide Biondini,
  • Marco Damin,
  • Martina Bonifazi,
  • Elisabetta Cocconcelli,
  • Umberto Semenzato,
  • Paolo Spagnolo,
  • Stefano Gasparini,
  • Marina Saetta and
  • Elisabetta Balestro

19 October 2021

Bronchoscopy has several major diagnostic and therapeutic indications in pulmonology. However, it is an aerosol-generating procedure that places healthcare providers at an increased risk of infection. Now more than ever, during the spread of the coro...

  • Article
  • Open Access
10 Citations
3,281 Views
25 Pages

Brain Cancer Prediction Based on Novel Interpretable Ensemble Gene Selection Algorithm and Classifier

  • Abdulqader M. Almars,
  • Majed Alwateer,
  • Mohammed Qaraad,
  • Souad Amjad,
  • Hanaa Fathi,
  • Ayda K. Kelany,
  • Nazar K. Hussein and
  • Mostafa Elhosseini

19 October 2021

The growth of abnormal cells in the brain causes human brain tumors. Identifying the type of tumor is crucial for the prognosis and treatment of the patient. Data from cancer microarrays typically include fewer samples with many gene expression level...

  • Article
  • Open Access
2 Citations
2,879 Views
22 Pages

Differences in Dynamics of Lung Computed Tomography Patterns between Survivors and Deceased Adult Patients with COVID-19

  • Gevorg B. Akopyan,
  • Alexander B. Berdalin,
  • Ilya L. Gubskiy and
  • Vladimir G. Lelyuk

19 October 2021

This study’s aim was to investigate CT (computed tomography) pattern dynamics differences within surviving and deceased adult patients with COVID-19, revealing new prognostic factors and reproducing already known data with our patients’ cohort: 635 h...

  • Article
  • Open Access
3 Citations
2,831 Views
10 Pages

Loss of DUSP4 Expression as a Prognostic Biomarker in Clear Cell Renal Cell Carcinoma

  • Seongsik Bang,
  • Seungyun Jee,
  • Hwangkyu Son,
  • Young Chan Wi,
  • Hyunsung Kim,
  • Hosub Park,
  • Jaekyung Myung,
  • Su-Jin Shin and
  • Seung Sam Paik

19 October 2021

Dual-specificity protein phosphatase 4 (DUSP4) is a negative regulator of mitogen-activated protein kinases. The prognostic impact of DUSP4 expression in renal cell carcinoma is not well studied. Therefore, we evaluated the clinicopathological implic...

  • Review
  • Open Access
4 Citations
3,991 Views
16 Pages

18 October 2021

Chest X-rays (CXR) and computed tomography (CT) are the main medical imaging modalities used against the increased worldwide spread of the 2019 coronavirus disease (COVID-19) epidemic. Machine learning (ML) and artificial intelligence (AI) technology...

  • Article
  • Open Access
2 Citations
2,960 Views
8 Pages

A Multivariate Model to Predict Chronic Heart Failure after Acute ST-Segment Elevation Myocardial Infarction: Preliminary Study

  • Valentin Elievich Oleynikov,
  • Elena Vladimirovna Averyanova,
  • Anastasia Aleksandrovna Oreshkina,
  • Nadezhda Valerievna Burko,
  • Yulia Andreevna Barmenkova,
  • Alena Vladimirovna Golubeva and
  • Vera Aleksandrovna Galimskaya

18 October 2021

A multivariate model for predicting the risk of decompensated chronic heart failure (CHF) within 48 weeks after ST-segment elevation myocardial infarction (STEMI) has been developed and tested. Methods. The study included 173 patients with acute STEM...

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Diagnostics - ISSN 2075-4418