Magnetic resonance imaging parameter-based machine learning for prognosis prediction of high-intensity focused ultrasound ablation of uterine fibroids

Magnetic resonance imaging parameter-based machine learning for prognosis prediction of high-intensity focused ultrasound ablation of uterine fibroids

Objectives: To develop and apply magnetic resonance imaging (MRI) parameter-based machine learning (ML) models to predict non-perfused volume (NPV) reduction and residual regrowth of uterine fibroids after high-intensity focused ultrasound (HIFU) ablation.Methods: MRI data of 573 uterine fibroids in...

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Bibliographic Details
Main Authors: Jinwei Zhang, Chao Yang, Chunmei Gong, Ye Zhou, Chenghai Li, Faqi Li
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:International Journal of Hyperthermia
Subjects:
High-intensity focused ultrasound
uterine fibroids
machine learning
prognosis
residual fibroids
Online Access:https://www.tandfonline.com/doi/10.1080/02656736.2022.2090622

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https://www.tandfonline.com/doi/10.1080/02656736.2022.2090622

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