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Development and validation of a radiomics model based on T2-weighted imaging for predicting the efficacy of high intensity focused ultrasound ablation in uterine fibroids.

Authors :
Cheng Y
Yang L
Wang Y
Kuang L
Pan X
Chen L
Cao X
Xu Y
Source :
Quantitative imaging in medicine and surgery [Quant Imaging Med Surg] 2024 Feb 01; Vol. 14 (2), pp. 1803-1819. Date of Electronic Publication: 2024 Jan 22.
Publication Year :
2024

Abstract

Background: The heterogeneity of uterine fibroids in magnetic resonance imaging (MRI) is complex for a subjective visual evaluation, therefore it is difficult for an accurate prediction of the efficacy of high intensity focused ultrasound (HIFU) ablation in fibroids before the treatment. The purpose of this study was to set up a radiomics model based on MRI T2-weighted imaging (T2WI) for predicting the efficacy of HIFU ablation in uterine fibroids, and it would be used in preoperative screening of the fibroids for achieving high non-perfused volume ratio (NPVR).<br />Methods: A total of 178 patients with uterine fibroids were consecutively enrolled and treated with ultrasound-guided HIFU under conscious sedation between February 2017 and December 2021. Among them, 96 patients with 108 uterine fibroids with high ablation efficacy (NPVR ≥80%, h_NPVR) and 82 patients with 92 fibroids with lower ablation efficacy (NPVR <80%, l_NPVR) were retrospectively analyzed. The transverse T2WI images of fibroids were selected, and the fibroids were delineated slice by slice using ITK-SNAP software. The radiomics analysis was performed to find the imaging biomarker for the construction of a predicting model for the evaluation of the ablation efficacy, including the feature extraction, feature selection and model construction. The prediction model was built by logistic regression and assessed by receiver operating characteristic (ROC) curve, and the prediction efficiency of the two models was compared by Delong test. The ratio of the training set to the testing set was 8:2.<br />Results: The logistic regression model showed that the mean area under the curve (AUC) of the training set was 0.817 [95% confidence interval (CI): 0.755-0.882], and the testing set was 0.805 (95% CI: 0.670-0.941), respectively, which indicated a strong classification ability. The Delong test showed that there was no significant difference in the area under the ROC curve between the training set and testing set (P>0.05).<br />Conclusions: The radiomics model based on T2WI is feasible and effective for predicting the efficacy of HIFU ablation in treatment of uterine fibroids.<br />Competing Interests: Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-23-916/coif). X.P., L.C. and X.C. are full-time employees of Shanghai United Imaging Intelligence Co., Ltd. The other authors have no conflicts of interest to declare.<br /> (2024 Quantitative Imaging in Medicine and Surgery. All rights reserved.)

Details

Language :
English
ISSN :
2223-4292
Volume :
14
Issue :
2
Database :
MEDLINE
Journal :
Quantitative imaging in medicine and surgery
Publication Type :
Academic Journal
Accession number :
38415139
Full Text :
https://doi.org/10.21037/qims-23-916