ReviewJournal of the Korean Society of Radiology2023
[Breast Imaging Reporting and Data System (BI-RADS): Advantages and Limitations].
Review in Journal of the Korean Society of Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Development and Validation of a Combined 2D-US and CDUS Nomogram for Differentiating Benign and Malignant Breast Masses: A Retrospective Study.International journal of women's health · 2026Article
- Evaluation of the diagnostic accuracy of mammography and ultrasonography for breast cancer diagnosis using histopathology as the reference standard: a cross-sectional study.Annals of medicine and surgery (2012) · 2026Article
- Stratifying Breast Lesion Risk Using BI-RADS: A Correlative Study of Imaging and Histopathology.Medicina (Kaunas, Lithuania) · 2025Article
- BI-RADS application for breast cancer screening in primary healthcare settings: assessing protocol adherence and diagnostic validity.Frontiers in oncology · 2025Article
- The combination of focal breast edema and adjacent vessel sign to assess the behavior of mass-type invasive ductal carcinoma.BMC medical imaging · 2024Article
- Reliability of Kaiser Score in Assessing Additional Breast Lesions Identified on Staging MRI in Patients with Breast Cancer.Diagnostics (Basel, Switzerland) · 2024Article
- Breast stiffness, a risk factor for cancer and the role of radiology for diagnosis.Journal of translational medicine · 2023Review
- Breast MRI-the Importance of Type II and III Dynamic Curves Evaluation and Framing in BI-RADS 4C and 5 Score.Current health sciences journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast Imaging Reporting and Data System (BI-RADS) is a communication and data tracking system that standardizes and controls the quality of reporting by presenting lexicon descriptors, assessment categories, and recommendations for managing breast lesions. Using standardized terminology recommended by BI-RADS, radiologists can concisely and reproducibly communicate breast imaging results to clinicians. They can also provide the estimated malignant probability of the lesions found and guide management for them by determining the final assessment category. The limitations of BI-RADS 5th edition currently in use are that there are some areas for which standardized terminologies still need to be established, and that the diagnostic criteria of MRI assessment categories 3 and 4 are ambiguous compared to those for mammography or ultrasound. The next revision of BI-RADS is expected to include solutions for overcoming current limitations.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.