Journal of Shandong University (Health Sciences) ›› 2025, Vol. 63 ›› Issue (1): 90-98.doi: 10.6040/j.issn.1671-7554.0.2024.1064

• Clinical Research • Previous Articles    

Clinical value of ultrasound radiomics based on peritumour-containing tissues in identifying benign and malignant breast nodules

LU Xiaosong1, YANG Ruimin1, WANG Yicheng1, ZHOU Haifeng2, LUO Bing1, LI Xiaoyu1, LI Nana3   

  1. 1. Department of Ultrasound, The Frist Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China;
    2. Department of Breast Surgray, The Frist Affiliated Hospital of Hebei North University, Zhangjiakou 075000, Hebei, China;
    3. Graduate School, Hebei North University, Zhangjiakou 075000, Hebei, China
  • Published:2025-02-20

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Abstract: Objective To construct the radiomics model of ultrasound based on intratumoral and peritumoral 2 mm and 4 mm regions and to predict the clinical diagnostic value of these models in identifying benign and malignant breast nodules. Methods Retrospective collection of the ultrasound images of 220 female patients diagnosed as breast nodules by ultrasound were performed. The patients underwent surgery at the Frist Affiliated Hospital of Hebei North University. The breast nodule ultrasound images were randomly divided into a training set(n=154)and a test set(n=66)in a ratio of 7∶3. The region of interest(ROI)was outlined as the intratumoral group on the maximal section image of the breast nodule and automatically conformed to the outward extension of 2 mm and 4 mm, respectively, to obtain the peritumoral 2 mm group and peritumoral 4 mm group. The optimal imaging histological features of the intratumoral group, peritumoral 2 mm group and peritumoral 4 mm group were screened by LASSO regression to construct a Logistic regression models. The diagnostic efficacy of the models in the training set and test set were evaluated using AUC, sensitivity, specificity and Jordon index, and the statistical difference among the models were verified using Delong test. The predictive efficacy of radiomics models were assessed using calibration and decision curves. Results Among the three groups, the radiomics model of the peritumoral 4mm group had the best efficacy. The values of AUC in the intratumoral group, peritumoral 2 mm group and peritumoral 4 mm group in the training set were 0.886, 0.902, and 0.945, while those in the testing set were 0.793, 0.757, 0.901, respectively. In the training set, the values of AUC in the intratumoral group and the peritumoral 2 mm group were statistical different with that in the peritumoral 4 mm group(both P<0.05). The sensitivity, specificity and Yoden index of the peritumoral 4 mm group in the training set and test set were 0.927, 0.833, 0.760, and 0.879, 0.818, 0.697, respectively. Conclusion The ultrasound-based radiomics model of the peritumoral 4 mm group has better predictive value in identifying benign and malignant breast nodules compared to the intratumoral group and the peritumoral 2 mm group.

Key words: Ultrasound, Radiomics, Breast nodules, Intratumoural region, Peritumoral region

CLC Number: 

  • R445.1
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