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Clinical Article
Value of T2WI-FS radiomics combined with imaging features in predicting the efficacy of HIFU ablation of hysteromyoma
QIN Shize  HUANG Xiaohua  WANG Fang  TANG Lingling  JIANG Yu 

Cite this article as: Qin SZ, Huang XH, Wang F, et al. Value of T2WI-FS radiomics combined with imaging features in predicting the efficacy of HIFU ablation of hysteromyoma[J]. Chin J Magn Reson Imaging, 2022, 13(5): 59-63, 69. DOI:10.12015/issn.1674-8034.2022.05.011.

[Abstract] Objective To investigate the value of T2-weighted imaging fat suppression (T2WI-FS) radiomics combined with imaging features in predicting the efficacy of high intensity focused ultrasound (HIFU) ablation of hysteromyoma.Materials and Methods A total of 142 patients with hysteromyoma diagnosed clinically and treated with HIFU ablation were analyzed retrospectively, including 172 hysteromyomas, including 77 in the low ablation rate group (ablation rate<70%) and 95 in the high ablation rate group (ablation rate≥70%). They were randomly divided into training set and test set in the ratio of 7:3. The sagittal T2WI-FS sequence was selected, and the three-dimensional surrounding hysteromyoma parenchyma was delineated by 3D Slicer software, and the radiomics features were extracted (including shape, gray level co-occurrence matrix, gray level run-length matrix, gray level size zone matrix, neighboring gray tone difference matrix, gray level dependence matrix and first order). At the same time, the imaging features that may be related to the ablation effect of HIFU were collected (including hysteromyoma volume, T2WI-FS signal intensity, color Doppler flow imaging signal, enhancement degree of T1WI enhanced hysteromyoma, signal uniformity of T1WI enhanced hysteromyoma and type of hysteromyoma). The variance threshold method, univariate selection method and least absolute shrinkage and selection operator were used to screen the radiomics features. Logistic regression and random forest were used to establish two mixed models to predict the efficacy of HIFU ablation of hysteromyoma. The prediction performance of the model was evaluated by receiver operating characteristic (ROC) curve, and the prediction efficiency of the two mixed models was compared by Delong test.Results The Logistic regression model shows that the area under the curve (AUC) of the ROC curve of the test set is 0.855, the specificity is 0.783 and the sensitivity is 0.724. The AUC of random forest in the test set is 0.796, the specificity is 0.696 and the sensitivity is 0.759. The Delong test results of training set and test set showed that there was no significant difference in the prediction efficiency between the two mixed models (P>0.05).Conclusions The model based on T2WI-FS radiomics and imaging features can accurately predict the efficacy of HIFU in ablation of hysteromyoma.
[Keywords] radiomics;hysteromyoma;high intensity focused ultrasound;magnetic resonance imaging;prediction;efficacy

QIN Shize1   HUANG Xiaohua1*   WANG Fang2   TANG Lingling1   JIANG Yu1  

1 Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China

2 Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai 200232, China

Huang XH, E-mail:

Conflicts of interest   None.

Received  2022-01-03
Accepted  2022-04-08
DOI: 10.12015/issn.1674-8034.2022.05.011
Cite this article as: Qin SZ, Huang XH, Wang F, et al. Value of T2WI-FS radiomics combined with imaging features in predicting the efficacy of HIFU ablation of hysteromyoma[J]. Chin J Magn Reson Imaging, 2022, 13(5): 59-63, 69.DOI:10.12015/issn.1674-8034.2022.05.011

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