دورية أكاديمية

Radiomics Analysis for Multiple Myeloma: A Systematic Review with Radiomics Quality Scoring

التفاصيل البيبلوغرافية
العنوان: Radiomics Analysis for Multiple Myeloma: A Systematic Review with Radiomics Quality Scoring
المؤلفون: Michail E. Klontzas, Matthaios Triantafyllou, Dimitrios Leventis, Emmanouil Koltsakis, Georgios Kalarakis, Antonios Tzortzakakis, Apostolos H. Karantanas
المصدر: Diagnostics, Vol 13, Iss 12, p 2021 (2023)
بيانات النشر: MDPI AG, 2023.
سنة النشر: 2023
المجموعة: LCC:Medicine (General)
مصطلحات موضوعية: multiple myeloma, radiomics, machine learning, metastases, radiomics quality score, Medicine (General), R5-920
الوصف: Multiple myeloma (MM) is one of the most common hematological malignancies affecting the bone marrow. Radiomics analysis has been employed in the literature in an attempt to evaluate the bone marrow of MM patients. This manuscript aimed to systematically review radiomics research on MM while employing a radiomics quality score (RQS) to accurately assess research quality in the field. A systematic search was performed on Web of Science, PubMed, and Scopus. The selected manuscripts were evaluated (data extraction and RQS scoring) by three independent readers (R1, R2, and R3) with experience in radiomics analysis. A total of 23 studies with 2682 patients were included, and the median RQS was 10 for R1 (IQR 5.5–12) and R3 (IQR 8.3–12) and 11 (IQR 7.5–12.5) for R2. RQS was not significantly correlated with any of the assessed bibliometric data (impact factor, quartile, year of publication, and imaging modality) (p > 0.05). Our results demonstrated the low quality of published radiomics research in MM, similarly to other fields of radiomics research, highlighting the need to tighten publication standards.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2075-4418
Relation: https://www.mdpi.com/2075-4418/13/12/2021; https://doaj.org/toc/2075-4418
DOI: 10.3390/diagnostics13122021
URL الوصول: https://doaj.org/article/b993437e24bc4eb3b578ae27f13fee5d
رقم الأكسشن: edsdoj.b993437e24bc4eb3b578ae27f13fee5d
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20754418
DOI:10.3390/diagnostics13122021