Diagnostic performance of dual-energy CT for opportunistic detection of rotator cuff disease: a retrospective multireader study
Suwei Liu, Kai Ye, Yali Li, Aihui Di, Chenyu Jiang, Ming Ni, Huishu Yuan

TL;DR
Dual-energy CT with multi-material decomposition improves detection of rotator cuff diseases compared to standard CT and matches MRI accuracy, offering a viable alternative for MRI-ineligible patients.
Contribution
DECT-based MMD shows superior diagnostic performance for rotator cuff disease detection compared to standard CT and comparable accuracy to MRI.
Findings
MMD demonstrated higher average AUC for diagnosing rotator cuff tears (88%) compared to standard CT (65%).
MMD's diagnostic performance for supraspinatus tendon disease was comparable to MRI (91% vs. 90%).
Experienced radiologists using MMD achieved MRI-level diagnostic performance for rotator cuff diseases.
Abstract
Multi-material decomposition (MMD), a key application of dual-energy computed tomography (DECT), has shown potential in musculoskeletal research. This study aimed to compare the diagnostic performance of DECT-based MMD with standard CT and MRI in detecting rotator cuff disease. This retrospective study evaluated patients diagnosed with rotator cuff disease who underwent third-generation dual-source DECT and 3.0-T MRI within a 2-week interval between December 2023 and November 2024. Shoulder arthroscopy served as the reference standard. Six readers independently assessed rotator cuff tears and determined the degree of supraspinatus tendon diseases using standard CT, DECT-based MMD and MRI. Area under the curve (AUC), sensitivity, specificity, positive/negative predictive values and accuracy were calculated for the diagnosis of rotator cuff disease. Friedman test was used to analyze the…
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Taxonomy
TopicsAdvanced X-ray and CT Imaging · Radiation Dose and Imaging · Dental Radiography and Imaging
