Literature DB >> 24456895

Masses in mammography: what are the underlying anatomopathological lesions?

H Berment1, V Becette2, M Mohallem3, F Ferreira3, P Chérel3.   

Abstract

The semiological description of masses in mammography is based on the BI-RADS system provided by the American College of Radiology. The contour is the most discriminating morphological criterion between benign and malignant masses. Most circumscribed masses are benign. Nevertheless, due to specific histological characteristics, certain malignant lesions or lesions with a risk of malignancy may appear in the mammography in this falsely reassuring form. An indistinct contour in the mammography is suspicious and requires a tissue sample. The positive predictive value of malignancy varies according to the morphology of the contour. It is lower for microlobulated contours, increases for masked, then indistinct contours and reaches 96% for spiculated contours. However, in rare cases, certain benign lesions may appear in the form of spiculated masses. In these specific cases, a correlation between the histological results with the imaging data is essential in order to avoid failing to recognise an underlying malignant lesion that the biopsy may have underestimated.
Copyright © 2014 Éditions françaises de radiologie. Published by Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Anatomopathology; Breast; Mammography

Mesh:

Year:  2014        PMID: 24456895     DOI: 10.1016/j.diii.2013.12.010

Source DB:  PubMed          Journal:  Diagn Interv Imaging        ISSN: 2211-5684            Impact factor:   4.026


  3 in total

1.  Association of the imaging characteristics of desmoplasia on digital breast tomosynthesis and the Ki-67 proliferation index in invasive breast cancer.

Authors:  Kristina Samaržija; Zoran Jurjević
Journal:  Croat Med J       Date:  2021-02-28       Impact factor: 1.351

2.  Mammographic tumour appearance is related to clinicopathological factors and surrogate molecular breast cancer subtype.

Authors:  Li Sturesdotter; Malte Sandsveden; Kristin Johnson; Anna-Maria Larsson; Sophia Zackrisson; Hanna Sartor
Journal:  Sci Rep       Date:  2020-11-30       Impact factor: 4.379

3.  Focus on the Predictive Value of Subclassification of Extratumoral Structural Abnormalities for Malignant Nonspiculate and Noncalcified Masses on Digital Mammography.

Authors:  Ye Xu; Jianghong Sun; Fei Guo; Abiyasi Nanding; Qiyang Li; Dan Jiang
Journal:  Front Genet       Date:  2022-02-04       Impact factor: 4.599

  3 in total

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