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Predicting the therapeutic efficacy of uterine artery embolization for adenomyosis using a combined model based on MRI radiomics and clinical characteristics

Crossref DOI link: https://doi.org/10.1007/s00261-025-05176-4

Published Online: 2025-08-18

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Hao

Ye, Zhe

Cai, Hengrui

Yin, Liang

Wang, Di

Sun, Xiaokang

Sun, Xingwei

Geng, Chen

Jin, Yong
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

National Natural Science Foundation of China (U23A20483, 62441114)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Science and Technology Program of Suzhou (SKY2023070)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)

Natural Science Foundation of Shandong Province (ZR2022QF093)
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Text and Data Mining valid from 2025-08-18

Version of Record valid from 2025-08-18
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Article History

Received: 22 April 2025

Revised: 9 August 2025

Accepted: 12 August 2025

First Online: 18 August 2025

Declarations

:

: The authors declare no competing interests.

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