[Analysis of related factors on effects of uterine artery embolization in the treatment of dysmenorrhea of adenomyosis and the construction and validation of prediction model].

Zhifeng Huo, Z F Huo, C L Chen, P Liu, Bayly Ma, B Ma, H Duan, Hua Duan, Bingjie Jiang, B Y Jiang, Yan Tang, Y X Tang, Y J Xu, Yongchang Xu, J H Zhu, Jie Zhu
Zhonghua fu chan ke za zhi · 2016 · vol. 51(9) , pp. 650–656 · doi:10.3760/cma.j.issn.0529-567x.2016.09.003 · PMID:27671044 · W2525183544
article OA: closed CC0 ⤵ 1 in-corpus citation
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⚙ AI-generated summary by claude@2026-06, 2026-06-10 ⓘ

Age, ovarian branch development, and adenomyosis blood supply independently predict uterine artery embolization efficacy for dysmenorrhea, as confirmed by an accurate artificial neural network prediction model.

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Abstract

(1)Age, the developing situation of ovary branches and blood supply of adenomyosis are the independent predictors of effective UAE treatment.(2)The artificial neural network prediction model is satisfied with the accuracy and the accuracy of prediction.

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Condition tags

dysmenorrheaadenomyosis

MeSH descriptors

Adenomyosis Dysmenorrhea Uterine Artery Embolization Female Humans

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europepmc
last seen: 2026-06-18T06:15:08.409253+00:00
openalex
last seen: 2026-06-04T00:00:01.174412+00:00
pubmed
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License: CC0 · commercial use OK