{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T09:42:01Z","timestamp":1760262121194,"version":"build-2065373602"},"reference-count":16,"publisher":"Springer Science and Business Media LLC","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,12]]},"DOI":"10.7759\/cureus.94379","type":"journal-article","created":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T09:07:10Z","timestamp":1760260030000},"source":"Crossref","is-referenced-by-count":0,"title":["Rethinking Breast Imaging Reporting and Data System (BI-RADS) 4: Clinical Insights From Mammographic Subclassification"],"prefix":"10.7759","author":[{"given":"Deepak","family":"Pradeep Kumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alex X","family":"Chakiath","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aneesh","family":"Sugunan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kasthoory","family":"Kandiah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahi R","family":"Gandhi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jim","family":"Job","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jasira","family":"Padinhare Madathil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pradeep","family":"Chandran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nandini","family":"Varma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abhijith Mohan","family":"Rajamohan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"ref1","article-title":"Breast Imaging Reporting and Data System","author":"Magny SJ","year":"2025","unstructured":"Magny SJ, Shikhman R, Keppke AL. Breast Imaging Reporting and Data System. StatPearls. StatPearls Publishing, Treasure Island, FL; 2025."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.5455\/annalsmedres.2021.02.136","article-title":"Are we on the side of over-diagnosis and treatment in BI-RADS 4A breast lesions?","volume":"28","author":"Avci T","year":"2021","unstructured":"Avci T, Erkent M, Turnaoglu H, Borcek P, Kaya P, Karakaya E. Are we on the side of over-diagnosis and treatment in BI-RADS 4A breast lesions?. Ann Med Res. 2021, 28:501-5. 10.5455\/annalsmedres.2021.02.136","journal-title":"Ann Med Res"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5152\/dir.2014.14103","article-title":"Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation","volume":"21","author":"Elverici E","year":"2015","unstructured":"Elverici E, Bar\u00e7a AN, Akta\u015f H, \u00d6zsoy A, Zengin B, \u00c7avu\u015fo\u011flu M, Araz L. Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation. Diagn Interv Radiol. 2015, 21:189-94. 10.5152\/dir.2014.14103","journal-title":"Diagn Interv Radiol"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s00268-023-07037-x","article-title":"Can short-term follow-up with ultrasound be offered as an acceptable alternative to immediate biopsy or surgery for patients with first ultrasound diagnosis of BI-RADS 4A lesions?","volume":"47","author":"He P","year":"2023","unstructured":"He P, Chen W, Cui LG, Zhang H. Can short-term follow-up with ultrasound be offered as an acceptable alternative to immediate biopsy or surgery for patients with first ultrasound diagnosis of BI-RADS 4A lesions?. World J Surg. 2023, 47:2161-8. 10.1007\/s00268-023-07037-x","journal-title":"World J Surg"},{"key":"ref5","unstructured":"American College of Radiology. BI-RADS\u00ae. ACR Breast Imaging Reporting and Data System. (2013). https:\/\/www.acr.org\/Clinical-Resources\/Clinical-Tools-and-Reference\/Reporting-and-Data-Systems\/BI-RADS."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2392042127","article-title":"BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value","volume":"239","author":"Lazarus E","year":"2006","unstructured":"Lazarus E, Mainiero MB, Schepps B, Koelliker SL, Livingston LS. BI-RADS lexicon for US and mammography: interobserver variability and positive predictive value. Radiology. 2006, 239:385-91. 10.1148\/radiol.2392042127","journal-title":"Radiology"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-013-2576-0","article-title":"Reducing false-positive biopsies: a pilot study to reduce benign biopsy rates for BI-RADS 4A\/B assessments through testing risk stratification and new thresholds for intervention","volume":"139","author":"Flowers CI","year":"2013","unstructured":"Flowers CI, O'Donoghue C, Moore D, et al.. Reducing false-positive biopsies: a pilot study to reduce benign biopsy rates for BI-RADS 4A\/B assessments through testing risk stratification and new thresholds for intervention. Breast Cancer Res Treat. 2013, 139:769-77. 10.1007\/s10549-013-2576-0","journal-title":"Breast Cancer Res Treat"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.7759\/cureus.22757","article-title":"A five-year review of the outcomes of Breast Imaging Reporting and Data System 4 lesions in Hospital Universiti Sains Malaysia","volume":"14","author":"Marthay K","year":"2022","unstructured":"Marthay K, Yahya MM, Tengku Din TA, et al.. A five-year review of the outcomes of Breast Imaging Reporting and Data System 4 lesions in Hospital Universiti Sains Malaysia. Cureus. 2022, 14:e22757. 10.7759\/cureus.22757","journal-title":"Cureus"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.clbc.2018.08.008","article-title":"Role of clinical and imaging risk factors in predicting breast cancer diagnosis among BI-RADS 4 cases","volume":"19","author":"Hsu W","year":"2019","unstructured":"Hsu W, Zhou X, Petruse A, et al.. Role of clinical and imaging risk factors in predicting breast cancer diagnosis among BI-RADS 4 cases. Clin Breast Cancer. 2019, 19:e142-51. 10.1016\/j.clbc.2018.08.008","journal-title":"Clin Breast Cancer"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.15537\/smj.2024.45.11.20240001","article-title":"Accuracy of imaging of BI-RADS 4 subcategorizations in breast lesion diagnosis: radiologic-pathologic correlation","volume":"45","author":"Ghunaim HA","year":"2024","unstructured":"Ghunaim HA, Alatawi RE, Borhan WM, Daqqaq TS, Alhasan AS, Aboualkheir MM, Elkady RM. Accuracy of imaging of BI-RADS 4 subcategorizations in breast lesion diagnosis: radiologic-pathologic correlation. Saudi Med J. 2024, 45:1228-37. 10.15537\/smj.2024.45.11.20240001","journal-title":"Saudi Med J"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s13193-020-01274-5","article-title":"The positive predictive values of the Breast Imaging Reporting and Data System (BI-RADS) 4 lesions and its mammographic morphological features","volume":"12","author":"Mohapatra SK","year":"2021","unstructured":"Mohapatra SK, Mishra A, Sahoo TK, Nayak RB, Das PK, Nayak B. The positive predictive values of the Breast Imaging Reporting and Data System (BI-RADS) 4 lesions and its mammographic morphological features. Indian J Surg Oncol. 2021, 12:182-9. 10.1007\/s13193-020-01274-5","journal-title":"Indian J Surg Oncol"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.ultrasmedbio.2018.12.008","article-title":"Subcategorization of ultrasonographic BI-RADS category 4: assessment of diagnostic accuracy in diagnosing breast lesions and influence of clinical factors on positive predictive value","volume":"45","author":"He P","year":"2019","unstructured":"He P, Cui LG, Chen W, Yang RL. Subcategorization of ultrasonographic BI-RADS category 4: assessment of diagnostic accuracy in diagnosing breast lesions and influence of clinical factors on positive predictive value. Ultrasound Med Biol. 2019, 45:1253-8. 10.1016\/j.ultrasmedbio.2018.12.008","journal-title":"Ultrasound Med Biol"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2013.02.032","article-title":"Simple rules for ultrasonographic subcategorization of BI-RADS\u00ae-US 4 breast masses","volume":"82","author":"Jales RM","year":"2013","unstructured":"Jales RM, Sarian LO, Torresan R, Marussi EF, Alvares BR, Derchain S. Simple rules for ultrasonographic subcategorization of BI-RADS\u00ae-US 4 breast masses. Eur J Radiol. 2013, 82:1231-5. 10.1016\/j.ejrad.2013.02.032","journal-title":"Eur J Radiol"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.53347\/rID-15151","article-title":"Breast Imaging-Reporting and Data System (BI-RADS) assessment category 4","author":"Radswiki T","year":"2025","unstructured":"Radswiki T, Niknejad M, Yap J, et al.. Breast Imaging-Reporting and Data System (BI-RADS) assessment category 4. Radiopaedia.org. 2025, 15151. 10.53347\/rID-15151","journal-title":"Radiopaedia.org"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-48488-4","article-title":"Predicting breast cancer in Breast Imaging Reporting and Data System (BI-RADS) ultrasound category 4 or 5 lesions: a nomogram combining radiomics and BI-RADS","volume":"9","author":"Luo WQ","year":"2019","unstructured":"Luo WQ, Huang QX, Huang XW, Hu HT, Zeng FQ, Wang W. Predicting breast cancer in Breast Imaging Reporting and Data System (BI-RADS) ultrasound category 4 or 5 lesions: a nomogram combining radiomics and BI-RADS. Sci Rep. 2019, 9:11921. 10.1038\/s41598-019-48488-4","journal-title":"Sci Rep"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3348\/kjr.2019.0855","article-title":"Radiomics in breast imaging from techniques to clinical applications: a review","volume":"21","author":"Lee SH","year":"2020","unstructured":"Lee SH, Park H, Ko ES. Radiomics in breast imaging from techniques to clinical applications: a review. Korean J Radiol. 2020, 21:779-92. 10.3348\/kjr.2019.0855","journal-title":"Korean J Radiol"}],"container-title":["Cureus"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cureus.com\/articles\/421544-rethinking-breast-imaging-reporting-and-data-system-bi-rads-4-clinical-insights-from-mammographic-subclassification","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T09:07:13Z","timestamp":1760260033000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cureus.com\/articles\/421544-rethinking-breast-imaging-reporting-and-data-system-bi-rads-4-clinical-insights-from-mammographic-subclassification"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,12]]},"references-count":16,"URL":"https:\/\/doi.org\/10.7759\/cureus.94379","relation":{},"ISSN":["2168-8184"],"issn-type":[{"value":"2168-8184","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10,12]]}}}