Liu Ziyan, Liu Ziyi, Wang Yuan, Wan Xiyao, Huang Xiaohua
Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Front Physiol. 2025 Aug 15;16:1602866. doi: 10.3389/fphys.2025.1602866. eCollection 2025.
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) ablation in patients with adenomyosis.
This retrospective study included 169 adenomyosis patients who underwent HIFU ablation between September 2021 and May 2024. EEF values were calculated based on T2WI fat suppression (T2WI-FS) sequences, and radiomics features were extracted. Predictive features were selected using minimum redundancy maximum relevance (MRMR) and least absolute shrinkage and selection operator (LASSO) methods, and two joint-based on decision tree and random forest algorithms-models were developed for EEF prediction.
The decision tree model achieved a mean absolute error (MAE) of 8.095 on the test set, while the random forest model exhibited an MAE of 8.231. The Wilcoxon rank-sum test for the test set revealed that the discrepancy in predictive performance between the two models was statistically significant ( < 0.05). The correlation coefficients were 0.768 and 0.777, and the coefficients of the two models in the test set were 0.559 and 0.549, respectively.
The joint model integrating T2WI radiomics and clinical data effectively predicted EEF values for HIFU ablation in adenomyosis. This approach provides a foundation for optimizing HIFU dosing strategies and enhancing treatment safety and efficacy.
本研究旨在开发一种联合模型，该模型结合T2加权成像（T2WI）脂肪抑制放射组学和临床参数，以预测子宫腺肌病患者高强度聚焦超声（HIFU）消融所需的能量效率因子（EEF）。
这项回顾性研究纳入了2021年9月至2024年5月期间接受HIFU消融的169例子宫腺肌病患者。基于T2WI脂肪抑制（T2WI-FS）序列计算EEF值，并提取放射组学特征。使用最小冗余最大相关性（MRMR）和最小绝对收缩和选择算子（LASSO）方法选择预测特征，并开发了基于决策树和随机森林算法的两个联合模型用于EEF预测。
决策树模型在测试集上的平均绝对误差（MAE）为8.095，而随机森林模型的MAE为8.231。对测试集进行的Wilcoxon秩和检验显示，两个模型在预测性能上的差异具有统计学意义（<0.05）。相关系数分别为0.768和0.777，两个模型在测试集上的 系数分别为0.559和0.549。
整合T2WI放射组学和临床数据的联合模型有效地预测了子宫腺肌病患者HIFU消融的EEF值。这种方法为优化HIFU剂量策略以及提高治疗安全性和有效性提供了基础。
