BI-RADS descriptors for mammographically detected microcalcifications verified by histopathology after needle-localized open breast biopsy
- PMID: 21098211
- DOI: 10.2214/AJR.10.4316
BI-RADS descriptors for mammographically detected microcalcifications verified by histopathology after needle-localized open breast biopsy
Abstract
Objective: The objective of our study was to retrospectively determine the positive predictive value of each descriptor and of combined descriptors for microcalcifications to predict the risk of malignancy as well as the appropriate final assessment category.
Materials and methods: A total of 308 needle-localized open breast biopsies for mammographically detected microcalcifications were performed in 295 women (age range, 33-71 years; mean age, 52 years) during 7 years. Thirteen patients had bilateral microcalcifications that were studied separately. Two breast radiologists retrospectively reviewed the microcalcifications with regard to their morphology, distribution, and extent and to associated findings and final assessment category, after which they categorized them into nine combined descriptors. Surgical pathology served as the reference standard for malignant lesions and follow-up of at least 12 months served as the reference for benign lesions. The Fisher's exact test, including odds ratios, was used for statistical analysis.
Results: Of the 308 needle-localized open breast biopsies, 144 (47%) were malignant and 164 (53%) were benign. For combined descriptors of morphology and distribution, the odds ratios of malignancy regarding the higher probability of malignancy and ductal distribution were as follows: 0 for typically benign morphology or scattered distribution, 93.00 for intermediate concern and regional, 33.53 for intermediate concern and clustered, 5.00 for intermediate concern and ductal, 24.00 for higher probability of malignancy and regional, and 1.13 for higher probability of malignancy and clustered.
Conclusion: Each descriptor and combined descriptors for microcalcifications and the final assessment category could help to predict the risk of malignancy.
Similar articles
-
Scoring system based on BI-RADS lexicon to predict probability of malignancy in suspicious microcalcifications.Ann Surg Oncol. 2012 May;19(5):1491-8. doi: 10.1245/s10434-011-2167-4. Epub 2011 Dec 16. Ann Surg Oncol. 2012. PMID: 22173328
-
Evaluation of malignancy risk stratification of microcalcifications detected on mammography: a study based on the 5th edition of BI-RADS.Ann Surg Oncol. 2015 Sep;22(9):2895-901. doi: 10.1245/s10434-014-4362-6. Epub 2015 Jan 22. Ann Surg Oncol. 2015. PMID: 25608770
-
Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience.Radiology. 2006 Sep;240(3):666-73. doi: 10.1148/radiol.2403051096. Radiology. 2006. PMID: 16926323
-
Evaluation of breast microcalcifications.Radiol Clin North Am. 1995 Nov;33(6):1109-21. Radiol Clin North Am. 1995. PMID: 7480659 Review.
-
[Fine needle aspiration biopsy of breast lesions: institutional experience].Rev Invest Clin. 2005 May-Jun;57(3):394-8. Rev Invest Clin. 2005. PMID: 16187698 Review. Spanish.
Cited by
-
Tattoo Pigment in an Intramammary Lymph Node Mimicking Breast Malignancy.Cureus. 2022 Oct 15;14(10):e30336. doi: 10.7759/cureus.30336. eCollection 2022 Oct. Cureus. 2022. PMID: 36407269 Free PMC article.
-
Hook Wire Localization Procedure and Early Detection of Breast Cancer - Our Experience.Open Access Maced J Med Sci. 2015 Jun 15;3(2):273-7. doi: 10.3889/oamjms.2015.055. Epub 2015 May 19. Open Access Maced J Med Sci. 2015. PMID: 27275234 Free PMC article.
-
Computational FEM Model and Phantom Validation of Microwave Ablation for Segmental Microcalcifications in Breasts Using a Coaxial Double-Slot Antenna.Biomed Res Int. 2021 Feb 22;2021:8858822. doi: 10.1155/2021/8858822. eCollection 2021. Biomed Res Int. 2021. PMID: 33688503 Free PMC article.
-
Suspicious amorphous microcalcifications detected on full-field digital mammography: correlation with histopathology.Radiol Bras. 2018 Mar-Apr;51(2):87-94. doi: 10.1590/0100-3984.2017.0025. Radiol Bras. 2018. PMID: 29743735 Free PMC article.
-
Breast cancer risk prediction model: a nomogram based on common mammographic screening findings.Eur Radiol. 2013 Sep;23(9):2413-9. doi: 10.1007/s00330-013-2836-8. Epub 2013 Apr 18. Eur Radiol. 2013. PMID: 23591619
MeSH terms
LinkOut - more resources
Full Text Sources
Medical