Literature DB >> 30340079

Calling all calcifications: a retrospective case control study.

Anand K Narayan1, Delia M Keating2, Elizabeth A Morris3, Victoria L Mango4.   

Abstract

INTRODUCTION: The majority of recalls from screening mammography do not result in biopsy recommendation. The purpose of this study was to evaluate if calcifications recalled from screening mammography are more likely to result in biopsy recommendations than other findings.
METHODS: IRB-approved electronic medical record search was performed to obtain a random sample of screening mammograms assigned BI-RADS 0 assessment during 2014-2015. Primary reason for recall was classified as mass, asymmetry, focal asymmetry, calcifications, or distortion. Primary outcome was biopsy performed after diagnostic work-up. Secondary outcome was proportion of biopsies performed that were positive for cancer, positive predictive value 3 (PPV3). Logistic regression was used to compare reasons for recall (calcifications vs other findings) with biopsy recommendation proportions.
RESULTS: Random database sampling yielded 402 screening examinations with BI-RADS 0 assessments with 449 total findings. Reasons for recall included calcifications (14.0%, 63/449), masses (15.8%, 71/449), asymmetries (50.8%, 228/449), focal asymmetries (14.3%, 64/449) and architectural distortions (5.1%, 23/449). Overall, 21.6% of recalls led to image-guided biopsy (87/402). Recalls for calcifications were more likely to result in biopsy compared with other types of findings (Adjusted OR 8.56, 95% CI 4.58 to 16.0, p < 0.001). No statistically significant differences were found in PPV3 proportions between calcification and non-calcification findings (p = 0.812).
CONCLUSION: Recalls for calcifications are much more likely to undergo biopsy compared with other findings. Increased biopsy rates for calcifications should be considered when recalling a patient from mammography screening in the context of practice specific positive predictive values and cancer detection rates.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biopsy; Breast cancer; Calcifications; Mammography; Recalls; Screening

Mesh:

Year:  2018        PMID: 30340079      PMCID: PMC6815219          DOI: 10.1016/j.clinimag.2018.09.016

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  14 in total

1.  Cumulative probability of false-positive recall or biopsy recommendation after 10 years of screening mammography: a cohort study.

Authors:  Rebecca A Hubbard; Karla Kerlikowske; Chris I Flowers; Bonnie C Yankaskas; Weiwei Zhu; Diana L Miglioretti
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

2.  Evaluation of malignancy risk stratification of microcalcifications detected on mammography: a study based on the 5th edition of BI-RADS.

Authors:  Soo-Yeon Kim; Ha Yan Kim; Eun-Kyung Kim; Min Jung Kim; Hee Jung Moon; Jung Hyun Yoon
Journal:  Ann Surg Oncol       Date:  2015-01-22       Impact factor: 5.344

3.  Effect of the Availability of Prior Full-Field Digital Mammography and Digital Breast Tomosynthesis Images on the Interpretation of Mammograms.

Authors:  Christiane M Hakim; Victor J Catullo; Denise M Chough; Marie A Ganott; Amy E Kelly; Dilip D Shinde; Jules H Sumkin; Luisa P Wallace; Andriy I Bandos; David Gur
Journal:  Radiology       Date:  2015-03-13       Impact factor: 11.105

Review 4.  Microcalcification on mammography: approaches to interpretation and biopsy.

Authors:  Louise Wilkinson; Val Thomas; Nisha Sharma
Journal:  Br J Radiol       Date:  2016-10-17       Impact factor: 3.039

5.  Mammographic findings of women recalled for diagnostic work-up in digital versus screen-film mammography in a population-based screening program.

Authors:  Seppo Lipasti; Ahti Anttila; Martti Pamilo
Journal:  Acta Radiol       Date:  2010-06       Impact factor: 1.990

6.  Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience.

Authors:  Elizabeth S Burnside; Daniel L Rubin; Jason P Fine; Ross D Shachter; Gale A Sisney; Winifred K Leung
Journal:  Radiology       Date:  2006-09       Impact factor: 11.105

7.  National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium.

Authors:  Constance D Lehman; Robert F Arao; Brian L Sprague; Janie M Lee; Diana S M Buist; Karla Kerlikowske; Louise M Henderson; Tracy Onega; Anna N A Tosteson; Garth H Rauscher; Diana L Miglioretti
Journal:  Radiology       Date:  2016-12-05       Impact factor: 11.105

8.  Breast cancer screening using tomosynthesis in combination with digital mammography.

Authors:  Sarah M Friedewald; Elizabeth A Rafferty; Stephen L Rose; Melissa A Durand; Donna M Plecha; Julianne S Greenberg; Mary K Hayes; Debra S Copit; Kara L Carlson; Thomas M Cink; Lora D Barke; Linda N Greer; Dave P Miller; Emily F Conant
Journal:  JAMA       Date:  2014-06-25       Impact factor: 56.272

9.  Architectural Distortion on Mammography: Correlation With Pathologic Outcomes and Predictors of Malignancy.

Authors:  Manisha Bahl; Jay A Baker; Emily N Kinsey; Sujata V Ghate
Journal:  AJR Am J Roentgenol       Date:  2015-12       Impact factor: 3.959

10.  Dual-Energy Contrast-Enhanced Spectral Mammography: Enhancement Analysis on BI-RADS 4 Non-Mass Microcalcifications in Screened Women.

Authors:  Yun-Chung Cheung; Yu-Hsiang Juan; Yu-Ching Lin; Yung-Feng Lo; Hsiu-Pei Tsai; Shir-Hwa Ueng; Shin-Cheh Chen
Journal:  PLoS One       Date:  2016-09-09       Impact factor: 3.240

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  1 in total

1.  Scoring System to Stratify Malignancy Risks for Mammographic Microcalcifications Based on Breast Imaging Reporting and Data System 5th Edition Descriptors.

Authors:  Ji Hyun Youk; Hye Mi Gweon; Eun Ju Son; Na Lae Eun; Eun Jung Choi; Jeong Ah Kim
Journal:  Korean J Radiol       Date:  2019-12       Impact factor: 3.500

  1 in total

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