Diagnostic performance of dual-energy CT for opportunistic detection of rotator cuff disease: a retrospective multireader study

Dual energy (DE) CT multi-material decomposition (MMD) improves diagnostic performance for rotator cuff tears and supraspinatus tendon injuries. Radiologists with varying experience levels benefited from MMD, with experienced readers achieving MRI-level diagnostic performance. DECT MMD offers a promising alternative for patients with contraindications for MRI.

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Publication Details

Journal
Insights into Imaging
Published
2025-10-27
DOI
https://doi.org/10.1186/s13244-025-02119-x
Primary Topic
Advanced X-ray and CT Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Diagnostic performance of dual-energy CT for opportunistic detection of rotator cuff disease: a retrospective multireader study

Huishu Yuan, Chenyu Jiang, Ming Ni, Kai Ye et al.
Insights into Imaging
Advanced X-ray and CT Imaging
article

Diagnostic performance of dual-energy CT for opportunistic detection of rotator cuff disease: a retrospective multireader study

Huishu Yuan, Chenyu Jiang, Ming Ni, Kai Ye, Suwei Liu, Aihui Di
article en

Abstract

Dual energy (DE) CT multi-material decomposition (MMD) improves diagnostic performance for rotator cuff tears and supraspinatus tendon injuries. Radiologists with varying experience levels benefited from MMD, with experienced readers achieving MRI-level diagnostic performance. DECT MMD offers a promising alternative for patients with contraindications for MRI.

Insights into ImagingVol. 16(1)
Peking University (CN), Peking University Third Hospital (CN)
National Natural Science Foundation of China, Peking University, Peking University Third Hospital, National Key Research and Development Program of China
Openalex Percentile: Top 70%
Advanced X-ray and CT Imaging
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Diagnostic performance of dual-energy CT for opportunistic detection of rotator cuff disease: a retrospective multireader study — Huishu Yuan, Chenyu Jiang, et al. · Insights into Imaging (2025) | TGRS Research Map | TGRS