Ziyan Liu

ORCID: 0000-0003-3992-9194 · 2 papers in corpus · active 2025

Study types

  • article 1
  • other 1

Condition tags

  • adenomyosis 2
other 2025
Machine learning-based predictive analysis of energy efficiency factors necessary for the HIFU treatment of adenomyosis
Frontiers in physiology ·doi:10.3389/fphys.2025.1602866

PURPOSE: This study aimed to develop a joint model combining T2-weighted imaging (T2WI) suppressed fat radiomics, and clinical parameters to predict the energy efficiency factor (EEF) required for high-intensity focused ultrasound (HIFU) ab…

article 2025
Prediction of clinical outcome for high-intensity focused ultrasound ablation of adenomyosis based on non-enhanced MRI radiomics
International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group ·doi:10.1080/02656736.2025.2468766

OBJECTIVES: The study aimed to develop a non-enhanced MRI-based radiomics model for the preoperative prediction of the efficacy of adenomyosis after high-intensity focused ultrasound (HIFU) treatment. METHODS: The data of 130 patients with…