ArticlePloS one2022
Ultrasound classification of non-mass breast lesions following BI-RADS presents high positive predictive value.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- BI-RADS v2025 for breast ultrasound: key updates and Asian perspectives.Ultrasonography (Seoul, Korea) · 2026Article
- Development and validation of radiomics models for the diagnoses of breast lesions with calcification on ultrasound.Quantitative imaging in medicine and surgery · 2026Article
- A Deep Learning Model Integrating Ultrasound Images and Multidimensional Clinical Information for Differentiating Benign and Malignant Non-Mass Lesions.Diagnostics (Basel, Switzerland) · 2026Article
- Progress in Ultrasound Research on Non-Mass Breast Lesions: Definition, Classification, and Differential Diagnosis.Diagnostics (Basel, Switzerland) · 2026Review
- Nonmass Lesions on Breast Ultrasound: Radiologic-Pathologic Correlation and a Practical Guide to Diagnostic Approach.Korean journal of radiology · 2025Review
- Prevalence and outcomes of nonmass lesions detected on screening breast ultrasound based on ultrasound features.Journal of ultrasound · 2025Article
- Diagnostic efficacy of multimodal imaging in non-mass-like breast lesions and correlation with pathological findings.Frontiers in oncology · 2025Article
- Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study.BMC medical imaging · 2024Article
- Approach to Nonmass Lesions on Breast Ultrasound.The Indian journal of radiology & imaging · 2024Review
- The utility of quantifying the orientation of breast masses in ultrasound imaging.Scientific reports · 2024Article
- Incremental Value of Shear Wave Elastography and Contrast-Enhanced Ultrasound in the Differential Diagnosis of Breast Non-Mass-Like Lesions.International journal of women's health · 2024Article
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2 authors at 1 institution in 1 country.
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Abstract
purposeTo investigate the positive predictive value of ultrasound classification of non-mass breast lesions (NMLs) following breast imaging reporting and data system (BI-RADS), and enhance understanding of NMLs. MATERIALS AND
methodsFifty-nine women with 59 ultrasound-detected breast NMLs were finally enrolled. The ultrasound (US) features of breast NMLs were analyzed; the incidence of malignant NMLs was calculated; the malignancy risk stratification of US for breast NMLs was established using BI-RADS.
resultsThe incidence of malignant NMLs was 4.59% of all breast carcinoma. Non-ductal hypoechoic area, microcalcifications and posterior shadowing are the main US features of malignant NMLs, and there were significant differences between malignant and benign NMLs for microcalcifications and posterior shadowing. Taking BI-RADS 4B as a cutoff value, the sensitivity, specificity, area under the receiver operating characteristic curve (AUC), positive and negative predictive values, and odds ratio of the BI-RADS category were 82.98%,41.67%,0.62,84.78%,38.46% and 3.48, respectively.
conclusionsStratifying the malignancy risk of breast NMLs using the BI-RADS the sensitivity and positive and predictive value are promising, but the likelihood of malignancy of malignant NMLs is underestimated, and that of benign NMLs is overestimated. The solution may be that to separate NMLs from breast masses and use different malignancy risk stratification protocols.
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