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Article

Establishment of Noninvasive Prediction Models for the Diagnosis of Uterine Leiomyoma Subtypes.

Obstetrics and gynecology - 1 Mar 2024

Tamehisa Tetsuro, Sato Shun, Sakai Takahiro, Maekawa Ryo, Tanabe Masahiro, Ito Katsuyoshi, Sugino Norihiro

Abstract excerpt

OBJECTIVE: To establish prediction models for the diagnosis of the subtypes of uterine leiomyomas by machine learning using magnetic resonance imaging (MRI) data. METHODS: This is a prospective observational study. Ninety uterine leiomyoma samples were obtained from 51 patients who underwent surgery for uterine leiomyomas. Seventy-one samples (49 mediator complex subunit 12 [ MED12 ] mutation-positive and 22...

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Identifiers

PMID: 38061038
DOI: 10.1097/AOG.0000000000005475

Genes

MED12

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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