Development of a nomogram for predicting malignancy in BI-RADS 4 breast lesions using contrast-enhanced ultrasound and shear wave elastography parameters

Development of a nomogram for predicting malignancy in BI-RADS 4 breast lesions using contrast-enhanced ultrasound and shear wave elastography parameters

Abstract This study aimed to develop a Least Absolute Shrinkage and Selection Operator (LASSO) logistic regression (LR) model using quantitative imaging features from Shear Wave Elastography (SWE) and Contrast-Enhanced Ultrasound (CEUS) to assess the malignancy risk of BI-RADS 4 breast lesions (BLs)...

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Bibliographic Details
Main Authors: Tiantian Ren, Zhenzhen Gao, Lufeng Yang, Weibo Cheng, Xiao Luo
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Nomogram
BI-RADS classification
LASSO regression
Shear wave elastography parameters
Contrast-enhanced ultrasound quantitative parameters
Online Access:https://doi.org/10.1038/s41598-025-85862-x
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https://doi.org/10.1038/s41598-025-85862-x

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