|Table of Contents|

Prediction of sentinel lymph node metastasis in early breast cancer by constructing nomogram based on ultrasonic radiomics features

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2023 14
Page:
2682-2686
Research Field:
Publishing date:

Info

Title:
Prediction of sentinel lymph node metastasis in early breast cancer by constructing nomogram based on ultrasonic radiomics features
Author(s):
LI Xinyan; LIU Feifei; JIAO Yuting; ZHENG Qi; XU Yongbo; SUN Fang
Department of Ultrasound，Binzhou Medical University Hospital，Shandong Binzhou 256603，China.
Keywords:
early breast cancer; ultrasonic radiomics; sentinel lymph node; nomogram
PACS:
R737.9
DOI:
10.3969/j.issn.1672-4992.2023.14.020
Abstract:
Objective：To establish the ultrasonic radiomics model and construct the nomogram to predict the status of sentinel lymph node metastasis based on the texture characteristics of the primary site of early breast cancer,so as to provide guidance for clinical diagnosis and treatment.Methods：The ultrasound images of 222 patients with early breast cancer confirmed by postoperative pathology admitted the breast surgery department of our hospital from January 2017 to December 2020 were retrospectively analyzed.FireVoxel,an open source imaging platform,was used for manual segmentation and automatic extraction of ultrasonic omics features.The minimum absolute contraction and selection operator (LASSO) regression algorithm and Logistic regression analysis were used to screen variables and calculate the predictive probability.A nomogram was drawn based on the screened radiomics features and predictive probability,and a specific score was assigned to each dummy variable.The calibration curve was drawn to evaluate the predictive performance of the nomogram,and the decision curve was drawn to evaluate the clinical application efficacy of thenomogram.The 1 000 times Bootstrap method was used for internal verification,and the average AUC was calculated.Results：A total of 859 ultrasonic radiomics features were extracted after image segmentation,and 5 ultrasonic radiomics features were selected by LASSO regression analysis and Logistic regression analysis.The nomogram was drawn based on the above screened radiomics features,and the ROC curve was drawn based on the prediction probability of the prediction model established based on the nomogram,with an AUC of 0.808 (95%CI,0.751~0.865).The calibration curve showed that the probability of SLNM predicted by the nomogram was in good agreement with the actual probability of SLNM in the training cohort,and the decision curve showed that the nomogram had good clinical application efficacy.Internal verification showed that 1 000 Bootstrap iterations produced consistent results,with an average AUC of 0.810.Conclusion：The establishment of ultrasonic radiomics model and the construction of the nomogram based on the texture characteristics of the primary breast cancer can effectively predict the status of sentinel lymph node metastasis,and provide guidance for clinical diagnosis and treatment.

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山东省医药卫生科技发展计划项目（编号：202009020663）
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