دورية أكاديمية
Differentiation of inflammatory from degenerative changes in the sacroiliac joints by machine learning supported texture analysis.
| العنوان: | Differentiation of inflammatory from degenerative changes in the sacroiliac joints by machine learning supported texture analysis. |
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| المؤلفون: | Kepp FH; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Faculty of Medicine, University of Zurich, Switzerland., Huber FA; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Faculty of Medicine, University of Zurich, Switzerland. Electronic address: florian.huber@usz.ch., Wurnig MC; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Faculty of Medicine, University of Zurich, Switzerland., Mannil M; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Faculty of Medicine, University of Zurich, Switzerland., Kaniewska M; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Faculty of Medicine, University of Zurich, Switzerland., Guglielmi R; Institute of Radiology, Spital Thurgau AG, Cantonal Hospital Münsterlingen, Spitalcampus 1, 8596 Münsterlingen, Switzerland., Del Grande F; Istituto di imaging della Svizzera Italiana, Regional Hospital of Lugano, Via Tesserete 46, 6900 Lugano, Switzerland., Guggenberger R; Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091 Zurich, Switzerland; Faculty of Medicine, University of Zurich, Switzerland. |
| المصدر: | European journal of radiology [Eur J Radiol] 2021 Jul; Vol. 140, pp. 109755. Date of Electronic Publication: 2021 May 11. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 8106411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7727 (Electronic) Linking ISSN: 0720048X NLM ISO Abbreviation: Eur J Radiol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Limerick : Elsevier Science Ireland Ltd Original Publication: Stuttgart ; New York : Thieme, [c1981- |
| مواضيع طبية MeSH: | Sacroiliac Joint*/diagnostic imaging , Spondylarthritis*/diagnostic imaging, Humans ; Machine Learning ; Magnetic Resonance Imaging ; Retrospective Studies ; Spine |
| مستخلص: | Purpose: To compare the diagnostic performance of texture analysis (TA) against visual qualitative assessment in the differentiation of spondyloarthritis (SpA) from degenerative changes in the sacroiliac joints (SIJ). Method: Ninety patients referred for suspected inflammatory lower back pain from the rheumatology department were retrospectively included at our university hospital institution. MRI at 3 T of the lumbar spine and SIJ was performed with oblique coronal T1-weighted (w), fluid-sensitive fat-saturated (fs) TIRM and fsT1w intravenously contrast-enhanced (CE) images. Subjects were divided into three age- and gender-matched groups (30 each) based on definite clinical diagnosis serving as clinical reference standard with either degenerative, inflammatory (SpA) or no changes of the SIJ. SIJ were rated qualitatively by two independent radiologists and quantitatively by region-of-interest-based TA with 304 features subjected to machine learning logistic regression with randomized ten-fold selection of training and validation data. Qualitative and quantitative results were evaluated for diagnostic performance and compared against clinical reference standard. Results: Agreement of radiologist's diagnose with clinical reference was fair for both readers (κ = 0.32 and 0.44). ROC statistics revealed significant outperformance of TA compared to qualitative ratings for differentiation of SpA from remainder (AUC = 0.89 vs. 0.75), SpA from degenerative (AUC = 0.91 vs. 0.67) and TIRM-positive SpA (i.e. with bone marrow edema) from remainder cases (AUC = 0.95 vs. 0.76). T1w-CE images were the most important discriminator for detection of SpA. Conclusions: TA is superior to qualitative assessment for the differentiation of inflammatory from degenerative changes of the SIJ. Intravenous CE-images increase diagnostic yield in quantitative TA. (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Ankylosing spondylitis; Computer-assisted image analysis; Lower back pain; Magnetic resonance imaging; Sacroiliac joint |
| تواريخ الأحداث: | Date Created: 20210514 Date Completed: 20210602 Latest Revision: 20210602 |
| رمز التحديث: | 20231215 |
| DOI: | 10.1016/j.ejrad.2021.109755 |
| PMID: | 33989966 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1872-7727 |
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| DOI: | 10.1016/j.ejrad.2021.109755 |