Missed breast carcinoma: pitfalls and pearls
- PMID: 12853663
- DOI: 10.1148/rg.234025083
Missed breast carcinoma: pitfalls and pearls
Abstract
Mammography is the standard of reference for the detection of breast carcinoma, yet 10%-30% of breast cancers may be missed at mammography. Possible causes for missed breast cancers include dense parenchyma obscuring a lesion, poor positioning or technique, perception error, incorrect interpretation of a suspect finding, subtle features of malignancy, and slow growth of a lesion. Recent studies have emphasized the use of alternative imaging modalities to detect and diagnose breast carcinoma, including ultrasonography (US), magnetic resonance imaging, and nuclear medicine studies. However, the radiologist can take a number of steps that will significantly enhance the accuracy of image interpretation at mammography and decrease the false-negative rate. These steps include performing diagnostic as well as screening mammography, reviewing clinical data and using US to help assess a palpable or mammographically detected mass, strictly adhering to positioning and technical requirements, being alert to subtle features of breast cancers, comparing recent images with earlier mammograms to look for subtle increases in lesion size, looking for additional lesions when one abnormality is seen, and judging a lesion by its most malignant features.
Copyright RSNA, 2003
Similar articles
-
Ultrasonographic findings of missed breast cancer: pitfalls and pearls.Breast Cancer. 2014 Jan;21(1):10-9. doi: 10.1007/s12282-013-0498-7. Epub 2013 Oct 8. Breast Cancer. 2014. PMID: 24101546 Review.
-
Breast carcinomas: why are they missed?Singapore Med J. 2006 Oct;47(10):851-7. Singapore Med J. 2006. PMID: 16990959
-
Missed breast carcinoma; why and how to avoid?J Egypt Natl Canc Inst. 2007 Sep;19(3):178-94. J Egypt Natl Canc Inst. 2007. PMID: 19190691
-
[Diagnostic imaging of lobular carcinoma of the breast: mammographic, ultrasonographic and MR findings].Radiol Med. 2000 Dec;100(6):436-43. Radiol Med. 2000. PMID: 11307504 Italian.
-
Missed Breast Cancer: What Can We Learn?Curr Probl Diagn Radiol. 2016 Nov-Dec;45(6):402-419. doi: 10.1067/j.cpradiol.2016.03.001. Epub 2016 Mar 9. Curr Probl Diagn Radiol. 2016. PMID: 27079634 Review.
Cited by
-
Knowledge and practice regarding cancer screening in Nepal: a systematic review and meta-analysis.Ann Med Surg (Lond). 2023 Nov 23;86(1):382-391. doi: 10.1097/MS9.0000000000001529. eCollection 2024 Jan. Ann Med Surg (Lond). 2023. PMID: 38222683 Free PMC article. Review.
-
Radiologic findings of screen-detected cancers in an organized population-based screening mammography program in Turkey.Diagn Interv Radiol. 2016 Nov-Dec;22(6):508-513. doi: 10.5152/dir.2016.15250. Diagn Interv Radiol. 2016. PMID: 27705880 Free PMC article.
-
Artificial Intelligence for Breast Cancer Screening in Mammography (AI-STREAM): A Prospective Multicenter Study Design in Korea Using AI-Based CADe/x.J Breast Cancer. 2022 Feb;25(1):57-68. doi: 10.4048/jbc.2022.25.e4. Epub 2022 Jan 6. J Breast Cancer. 2022. PMID: 35133093 Free PMC article.
-
MicroRNA as a promising molecular biomarker in the diagnosis of breast cancer.Front Mol Biosci. 2024 May 15;11:1337706. doi: 10.3389/fmolb.2024.1337706. eCollection 2024. Front Mol Biosci. 2024. PMID: 38813102 Free PMC article.
-
A review of mammographic positioning image quality criteria for the craniocaudal projection.Br J Radiol. 2018 Feb;91(1082):20170611. doi: 10.1259/bjr.20170611. Epub 2017 Dec 5. Br J Radiol. 2018. PMID: 29125335 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical