Subcategorization of Ultrasonographic BI-RADS Category 4: Assessment of Diagnostic Accuracy in Diagnosing Breast Lesions and Influence of Clinical Factors on Positive Predictive Value-Reference-Cited by-同舟云学术

Subcategorization of Ultrasonographic BI-RADS Category 4: Assessment of Diagnostic Accuracy in Diagnosing Breast Lesions and Influence of Clinical Factors on Positive Predictive Value

Published:2019-05 Issue:5 Volume:45 Page:1253-1258
ISSN:0301-5629
Container-title:Ultrasound in Medicine & Biology
language:en
Short-container-title:Ultrasound in Medicine & Biology

Author:

He Ping,Cui Li-Gang,Chen Wen,Yang Ruo-Lin

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics,Radiology Nuclear Medicine and imaging,Biophysics,Radiological and Ultrasound Technology

Reference17 articles.

1. Nearest-neighbor estimation for ROC analysis under verification bias;Adimari;Int J Biostat,2015

2. Effect of clinical information on diagnostic performance in breast sonography;Baek;J Ultrasound Med,2009

3. Clinical outcome of breast cancer BI-RADS 4 lesions during 2003–2008 in the National Cancer Institute Thailand;Chaiwerawattana;Asian Pac J Cancer Prev,2012

4. Nonpalpable BI-RADS 4 breast lesions: Sonographic findings and pathology correlation;Elverici;Diagn Interv Radiol,2015

5. Breast cancer in China;Fan;Lancet Oncol,2014

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. US-based radiomics analysis of different machine learning models for differentiating benign and malignant BI-RADS 4A breast lesions;Academic Radiology;2024-08

2. Age‑integrated breast imaging reporting and data system assessment model to improve the accuracy of breast cancer diagnosis;Molecular and Clinical Oncology;2024-07-03

3. IDC-Net: Breast cancer classification network based on BI-RADS 4;Pattern Recognition;2024-06

4. The diagnostic performance of ultrasonic S-Detect technology in the diagnosis of BI-RADS-4 breast nodules smaller and larger than 20 mm;2023-12-04

5. Predicting female breast cancer by artificial intelligence: Combining clinical information and BI-RADS ultrasound descriptors;WFUMB Ultrasound Open;2023-12