Literature DB >> 27079634

Missed Breast Cancer: What Can We Learn?

Anubha Wadhwa1, Julie R Sullivan2, Mary Beth Gonyo2.   

Abstract

Multiple studies have shown that screening mammography helps to reduce mortality and morbidity from advanced breast cancer. However mammography does have its own limitations, and unfortunately, there are a fair number of false-negative mammograms. We are all aware that the sensitivity of mammography is inversely proportional to the breast density. With many states passing mandatory breast density reporting legislation, there has been an emphasis on using additional and alternative screening methods such as whole breast ultrasound and screening magnetic resonance imaging. Many cancers are simply not detected on mammography, even in retrospect. However, many of the breast cancers are actually visible retrospectively on the prior mammogram. It is these small and often subtle cancers that are perceptible but often missed, that provide a valuable learning opportunity. Studying the imaging findings of cancers that went undetected is a good learning exercise for the radiologist to identify common patterns and mistakes that lead to a missed cancer. This allows the radiologist to improve mammographic sensitivity and overall diagnostic accuracy. This article discusses some of the limitations of mammography, common sources of error which may lead to an undetected cancer, and also discuss a few pearls to prevent these common errors.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2016        PMID: 27079634     DOI: 10.1067/j.cpradiol.2016.03.001

Source DB:  PubMed          Journal:  Curr Probl Diagn Radiol        ISSN: 0363-0188


  8 in total

Review 1.  A review of mammographic positioning image quality criteria for the craniocaudal projection.

Authors:  Rhonda-Joy I Sweeney; Sarah J Lewis; Peter Hogg; Mark F McEntee
Journal:  Br J Radiol       Date:  2017-12-05       Impact factor: 3.039

2.  Evaluation of the accuracy of mammography, ultrasound and magnetic resonance imaging in suspect breast lesions.

Authors:  Renato de Oliveira Pereira; Larissa Almondes da Luz; Diego Cipriano Chagas; Jefferson Rodrigues Amorim; Elmo de Jesus Nery-Júnior; Araci Castelo Branco Rodrigues Alves; Flávio Teixeira de Abreu-Neto; Maria da Conceição Barros Oliveira; Danylo Rafhael Costa Silva; José Maria Soares-Júnior; Benedito Borges da Silva
Journal:  Clinics (Sao Paulo)       Date:  2020-07-22       Impact factor: 2.365

3.  Synergy in combining findings from mammography and ultrasonography in detecting malignancy in women with higher density breasts and lesions over 2 cm in Albania.

Authors:  Altin Malaj; Albana Shahini
Journal:  Contemp Oncol (Pozn)       Date:  2017-01-12

4.  Improved automated early detection of breast cancer based on high resolution 3D micro-CT microcalcification images.

Authors:  Redona Brahimetaj; Inneke Willekens; Annelien Massart; Ramses Forsyth; Jan Cornelis; Johan De Mey; Bart Jansen
Journal:  BMC Cancer       Date:  2022-02-11       Impact factor: 4.430

5.  Retrospective Review of Missed Cancer Detection and Its Mammography Findings with Artificial-Intelligence-Based, Computer-Aided Diagnosis.

Authors:  Ga Eun Park; Bong Joo Kang; Sung Hun Kim; Jeongmin Lee
Journal:  Diagnostics (Basel)       Date:  2022-02-02

6.  Features of breast cancer initially assessed as probably benign on ultrasound: A retrospective study.

Authors:  Hye Ji Ryu; Joo Hee Cha; Hak Hee Kim; Hee Jung Shin; Eun Young Chae; Woo Jung Choi
Journal:  Medicine (Baltimore)       Date:  2022-08-05       Impact factor: 1.817

7.  Autoantibodies in Early Detection of Breast Cancer.

Authors:  Femina Rauf; Karen S Anderson; Joshua LaBaer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-09-29       Impact factor: 4.254

8.  A Signature of Four Circulating microRNAs as Potential Biomarkers for Diagnosing Early-Stage Breast Cancer.

Authors:  Maha M Itani; Farah J Nassar; Arafat H Tfayli; Rabih S Talhouk; Ghada K Chamandi; Abdul Rahman S Itani; Joelle Makoukji; Rose-Mary N Boustany; Lifang Hou; Nathalie K Zgheib; Rihab R Nasr
Journal:  Int J Mol Sci       Date:  2021-06-06       Impact factor: 5.923

  8 in total

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