|Table of Contents|

Establishment and validation of a nomogram model for predicting benign and malignant breast nodules by automated breast volume scanner

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

Issue:
2024 07
Page:
1321-1326
Research Field:
Publishing date:

Info

Title:
Establishment and validation of a nomogram model for predicting benign and malignant breast nodules by automated breast volume scanner
Author(s):
WU Yimin; WANG Junli
Department of Ultrasound Medicine,Wuhu Hospital Affiliated to East China Normal University (The Second People's Hospital,Wuhu), Anhui Wuhu 241000,China.
Keywords:
breast nodule; mass; automated breast volume scanner; ultrasound; nomogram
PACS:
R737.9
DOI:
10.3969/j.issn.1672-4992.2024.07.024
Abstract:
Objective:To establish and verify the nomogram model of automated breast volume scanner (ABVS) in predicting the benign and malignant of breast nodules,and evaluate its clinical application value.Methods:The clinical data of patients with BI-RADS 3~5 breast nodules diagnosed by ABVS from November 1,2021 to December 31,2022 were retrospectively collected.A total of 398 patients and 532 breast nodules were included in this study.Patients were randomly divided into training set (n=372) and validation set (n=160) according to the ratio of 7∶3.Potential variables were screened by LASSO regression,and independent risk factors were screened by Logistic regression.A joint prediction model was constructed based on independent risk factors,and a visual nomogram was drawn.Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic efficiency of nomogram.The DeLong test was used to compare the diagnostic performance of independent variables with nomograms.Hosmer-Lemeshow test was used to evaluate the calibration degree of the nomogram,and decision curve analysis (DCA) was used to verify the clinical validity of the nomogram.Results:Through LASSO regression,univariate and multivariate Logistic regression,the independent risk factors for ABVS diagnosis of breast cancer were age,microcalcification,boundary,lobule,convergence sign.The area under the curve,sensitivity and specificity of the nomogram prediction model based on the above variables in the training set were 0.967,87.5% and 96.0%,respectively,0.991,93.5% and 96.1% in the validation set,respectively.The DeLong test showed that the nomogram had the best diagnostic efficacy in all models (P＜0.05).Hosmer-Lemeshow test showed that the model had good calibration,and DCA showed that it had good clinical validity.Conclusion:The nomogram model of ABVS for predicting breast cancer has high clinical application value for identifying benign and malignant breast nodules,and can be used as an auxiliary tool for clinicians to predict breast cancer.

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Memo

Memo:
安徽省芜湖市科技计划重点研发与成果转化项目（编号：2023yf123）
Last Update: 2024-02-29