Evaluation of the Diagnostic Performance of Weighted Diffusion Subtraction (WDS) in Differentiating Uterine Sarcomas from Uterine Myomas

Motivation: Distinguishing uterine sarcomas from benign myomas poses a challenge with conventional ADC due to overlapping values resulting from the T2 shine-through and blackout effects. Goal(s): To assess diagnostic performance of Weighted Diffusion Subtraction (WDS) , an emerging computed diffusion-weighted imaging technique that aims to address the effects. Approach: A retrospective study analyzed MRI data from 38 patients with uterine sarcomas and 38 with myomas using WDS and ADC, comparing their diagnostic performances statistically. Results: WDS enhanced tissue contrast and offered substantially improved differentiation between lesions, resulting in higher diagnostic accuracy compared to conventional ADC. Impact: This study demonstrates that WDS significantly improves the differentiation of uterine sarcomas from myomas. These findings may enhance diagnostic accuracy and patient management, encourage the clinical adoption of WDS, and inspire further research into its use for other challenging diagnoses.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/0172
Primary Topic
Uterine Myomas and Treatments
Type
article
Field-Weighted Citation Impact
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article

Evaluation of the Diagnostic Performance of Weighted Diffusion Subtraction (WDS) in Differentiating Uterine Sarcomas from Uterine Myomas

Ryohei Kuwatsuru, Katsuhiro Sano, Yoshie Omiya, Shigeki Aoki et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Uterine Myomas and Treatments
article

Evaluation of the Diagnostic Performance of Weighted Diffusion Subtraction (WDS) in Differentiating Uterine Sarcomas from Uterine Myomas

Ryohei Kuwatsuru, Katsuhiro Sano, Yoshie Omiya, Shigeki Aoki, Koichi Oshio, Hu Jiajing
article en

Abstract

Motivation: Distinguishing uterine sarcomas from benign myomas poses a challenge with conventional ADC due to overlapping values resulting from the T2 shine-through and blackout effects. Goal(s): To assess diagnostic performance of Weighted Diffusion Subtraction (WDS) , an emerging computed diffusion-weighted imaging technique that aims to address the effects. Approach: A retrospective study analyzed MRI data from 38 patients with uterine sarcomas and 38 with myomas using WDS and ADC, comparing their diagnostic performances statistically. Results: WDS enhanced tissue contrast and offered substantially improved differentiation between lesions, resulting in higher diagnostic accuracy compared to conventional ADC. Impact: This study demonstrates that WDS significantly improves the differentiation of uterine sarcomas from myomas. These findings may enhance diagnostic accuracy and patient management, encourage the clinical adoption of WDS, and inspire further research into its use for other challenging diagnoses.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 69%
Uterine Myomas and Treatments
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