Literature DB >> 11384136

False-negative breast screening assessment: what lessons can we learn?

H C Burrell1, A J Evans, A R Wilson, S E Pinder.   

Abstract

AIM: To review women who have had breast cancer diagnosed following previous assessment of a screen-detected mammographic abnormality in order to ascertain the frequency and characteristics of false-negative assessment.
MATERIALS AND METHODS: The assessment process was reviewed in the study population of 28 women. This included the nature of the lesion recalled for assessment, additional mammography, clinical and ultrasound findings, and the results of fine needle aspiration cytology and needle histology.
RESULTS: The frequency of false-negative assessment was approximately 0.56%. The median time between false-negative assessment and diagnosis of breast cancer was 33 months. The most common mammographic lesion resulting in false-negative assessment was micro-calcification seen in 12 cases (43%). Only five of these 12 cases had image-guided biopsy, the remainder were thought to be benign on magnification views. Other mammographic abnormalities were nine masses (32%), five architectural distortions (18%) and two asymmetric densities (7%). Of the 16 women with mammographic lesions other than micro-calcifications 10 had a normal ultrasound.
CONCLUSION: Radiological interpretation of indeterminate micro-calcifications as benign or malignant is unreliable. An isolated cluster of micro-calcification requires image-guided core biopsy with representative micro-calcification obtained on specimen radiography. Further mammography done at assessment, particularly paddle compression views, should be carefully analysed to ensure areas of architectural distortion have truly resolved. If one imaging modality shows a significant abnormality and another does not the cases must be managed on the basis of the abnormal finding. Burrell, H.C.et al. (2001). Clinical Radiology56, 385-388. Copyright 2001 The Royal College of Radiologists.

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Year:  2001        PMID: 11384136     DOI: 10.1053/crad.2001.0662

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  7 in total

1.  Measures of angular spread and entropy for the detection of architectural distortion in prior mammograms.

Authors:  Shantanu Banik; Rangaraj M Rangayyan; J E Leo Desautels
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-03-30       Impact factor: 2.924

2.  Characterization and classification of tumor lesions using computerized fractal-based texture analysis and support vector machines in digital mammograms.

Authors:  Qi Guo; Jiaqing Shao; Virginie F Ruiz
Journal:  Int J Comput Assist Radiol Surg       Date:  2008-10-28       Impact factor: 2.924

3.  Computer-aided detection of architectural distortion in prior mammograms of interval cancer.

Authors:  Rangaraj M Rangayyan; Shantanu Banik; J E Leo Desautels
Journal:  J Digit Imaging       Date:  2010-02-02       Impact factor: 4.056

4.  Plasma lipidomics profiling identified lipid biomarkers in distinguishing early-stage breast cancer from benign lesions.

Authors:  Xiaoli Chen; Hankui Chen; Meiyu Dai; Junmei Ai; Yan Li; Brett Mahon; Shengming Dai; Youping Deng
Journal:  Oncotarget       Date:  2016-06-14

5.  Breast cancer risk is increased in the years following false-positive breast cancer screening.

Authors:  Mathijs C Goossens; Isabel De Brabander; Jacques De Greve; Evelien Vaes; Chantal Van Ongeval; Koen Van Herck; Eliane Kellen
Journal:  Eur J Cancer Prev       Date:  2017-09       Impact factor: 2.497

6.  The adjunctive digital breast tomosynthesis in diagnosis of breast cancer.

Authors:  Tsung-Lung Yang; Huei-Lung Liang; Chen-Pin Chou; Jer-Shyung Huang; Huay-Ben Pan
Journal:  Biomed Res Int       Date:  2013-06-17       Impact factor: 3.411

Review 7.  Errors in Mammography Cannot be Solved Through Technology Alone

Authors:  Ernest Usang Ekpo; Maram Alakhras; Patrick Brennan
Journal:  Asian Pac J Cancer Prev       Date:  2018-02-26
  7 in total

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