Radiomics reflects the texture and morphological features of tumours by quantitatively
analysing the grey values of medical images. We aim to develop a nomogram incorporating …

Purpose Our understanding of breast cancer in very young women (≤ 35 years old) remains
limited. We aimed to assess the clinicopathological characteristics, molecular subtype, and …

Background Biopsy has been recommended for Breast Imaging Reporting and Data System
(BI-RADS) category 4 lesions. However, the malignancy rate of category 4A lesions is very …

Objectives To establish a breast lesion risk stratification system using ultrasound images to
predict breast malignancy and assess Breast Imaging Reporting and Data System (BI …

Purpose: To develop nomograms for predicting breast cancer in BI-RADS ultrasound (US)
category 4 or 5 lesions based on radiomics features. Methods: Between January 2020 and …

Rationale and Objectives To develop and validate a nomogram for predicting the risk of
malignancy of breast imaging reporting and data system (BI-RADS) 4A lesions to reduce …

Objective To evaluate the ability of integrated radiomics nomogram based on ultrasound
images to distinguish between breast fibroadenoma (FA) and pure mucinous carcinoma (P …

Objectives Nodular sclerosing adenoses (NSAs) and malignant tumors (MTs) may coexist
and are often classified into the same Breast Imaging Reporting and Data System (BI …

目的探讨计算机辅助诊断在早期乳腺癌诊断中的价值. 方法对120 枚病理证实的最大径≤ 20
mm 乳腺肿块(乳腺癌结节50 枚, 良性结节70 枚) 超声图像进行回顾性分析 …

Background: Older age and dense breast are the important risk factors for breast cancer.
The ACR BI-RADS lexicon 5 th edition does not mention how patient age and breast density …