Identification of Myocardial Scarring Using Contrast‐Free Cardiac MRI in Patients With Autoimmune Rheumatic Diseases

Author:

Li Xiao1,Guo Yubo1,Lin Lu1,Wang Yue1,Liu Peijun1,Wang Qian2,Chen Wei3,Wang Wenji4,Xia Qing4,Huang Ning5,Eresen Aydin6,Zhang Zhuoli6,Jin Zhengyu1,Wang Yining1ORCID

Affiliation:

1. Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

2. Department of Rheumatology and Clinical Immunology, State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

3. Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

4. SenseTime Research Beijing China

5. Hangzhou GenLight MedTech Co. Zhejiang China

6. Department of Radiological Sciences University of California, Irvine Irvine California USA

Abstract

BackgroundLate gadolinium enhancement (LGE) cardiac MRI is the method of choice in revealing the presence of myocardial scarring, but its availability remains limited in clinical practice.PurposeTo assess myocardial scarring in patients with autoimmune rheumatic diseases (ARDs) using contrast‐free cardiac MRI with a radiomics model.Study TypeRetrospective.PopulationOne hundred ninety‐two patients (mean age, 41 years ± 15, 62 men) with or without ARDs, grouped into a training set of 153 patients and a testing set of 39 patients.Field Strength/Sequence3.0 T/ cine imaging with a balanced steady‐state free precession sequence, T1 mapping with a modified Look‐Locker inversion recovery sequence, and LGE imaging with a phase‐sensitive inversion recovery gradient echo sequence.AssessmentLGE assessment was the reference standard for identifying myocardial scarring. Based on motion features extracted from cine images and tissue characterization features extracted from native T1 maps, a fully automated radiomics model with T1, cine MRI, or combined inputs was developed.Statistical TestsLogistic regression model was used to detect myocardial scarring using contrast‐free cardiac MRI parameters. Receiver operating characteristic curves were analyzed to assess the accuracy, sensitivity, and specificity in detecting myocardial scarring. Sensitivities of the models were further assessed in patients with various myocardial scarring proportions. Z‐statistic and dice coefficient were assessed to compare the performance. P‐values <0.05 were considered significant.ResultsThe multivariable regression model exhibited an accuracy of 85.3%, a sensitivity of 93.5%, and a specificity of 50.0%. The radiomics model with T1 and cine MRI input exhibited an accuracy of 75.7%, a sensitivity of 60.9%, and a specificity of 85.5%. Moreover, the radiomics model showed a sensitivity of 90.9% among patients with >25% myocardial scarring.Data ConclusionsThe proposed radiomics model allowed for the identification of myocardial scarring similar to LGE, but on contrast‐free cardiac MRI in patients with ARDs.Evidence Level3Technical EfficacyStage 1

Funder

Natural Science Foundation of Beijing Municipality

National Natural Science Foundation of China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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