Literature DB >> 25803988

Nuclear morphometry in flat epithelial atypia of the breast as a predictor of malignancy: a digital image-based histopathologic analysis.

Phillip A Williams, Bojana Djordjevic, Yasmine Ayroud, Shahidul Islam, Denis Gravel, Susan J Robertson, Carlos Parra-Herran.   

Abstract

OBJECTIVE: To identify morphometric features unique to flat epithelial atypia associated with cancer using digital image analysis. STUDY
DESIGN: Cases with diagnosis of flat epithelial atypia were retrieved and divided into 2 groups: flat epithelial atypia associated with invasive or in situ carcinoma (n = 31) and those without malignancy (n = 27). Slides were digitally scanned. Nuclear features were analyzed on representative images at 20x magnification using digital morphometric software.
RESULTS: Parameters related to nuclear shape and size (diameter, perimeter) were similar in both groups. However, cases with malignancy had significantly higher densitometric green (p = 0.02), red (p = 0.03), and grey (p = 0.02) scale levels as compared to cases without cancer. A mean grey densitometric level > 119.45 had 71% sensitivity and 70.4% specificity in detecting cases with concomitant carcinoma.
CONCLUSION: Morphometry of features related to nuclear staining appears to be useful in predicting risk of concurrent malignancy in patients with flat epithelial atypia, when added to a comprehensive histopathologic evaluation.

Entities:  

Mesh:

Year:  2014        PMID: 25803988

Source DB:  PubMed          Journal:  Anal Quant Cytopathol Histpathol        ISSN: 2578-742X


  2 in total

1.  Does flat epithelial atypia have rounder nuclei than columnar cell change/hyperplasia? A morphometric approach to columnar cell lesions of the breast.

Authors:  Yoshiko Yamashita; Shu Ichihara; Suzuko Moritani; Han-Seung Yoon; Masahiro Yamaguchi
Journal:  Virchows Arch       Date:  2016-03-30       Impact factor: 4.064

2.  High-throughput gene screen reveals modulators of nuclear shape.

Authors:  Andrew C Tamashunas; Vincent J Tocco; James Matthews; Qiao Zhang; Kalina R Atanasova; Lauren Paschall; Shreya Pathak; Ranjala Ratnayake; Andrew D Stephens; Hendrik Luesch; Jonathan D Licht; Tanmay P Lele
Journal:  Mol Biol Cell       Date:  2020-04-22       Impact factor: 4.138

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.