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小叶癌的超声形态学特征与组织病理学结果之间的关联。

Association between ultrasound morphologic features and histopathological findings of lobular carcinoma.

作者信息

Malherbe Kathryn, Bresser Philippa

机构信息

Department of Health Sciences, Department Radiographic Sciences, University of Pretoria, Pretoria, South Africa.

出版信息

J Med Radiat Sci. 2019 Sep;66(3):177-183. doi: 10.1002/jmrs.336. Epub 2019 Aug 31.

Abstract

INTRODUCTION

Despite the incidence and recurrence rates of breast cancer, there are currently no biomarkers to predict which cases will develop into lobular carcinoma (LC). The purpose of this study was to determine the association between ultrasound morphologic characteristics of LC and histopathological classifications.

METHODS

A retrospective, cross-sectional study was conducted on the ultrasound images and histopathological reports of 100 patients with a confirmed LC diagnosis between January 2013 and December 2016.

RESULTS

Morphologic ultrasound characteristics most frequently reported in the dataset of positively diagnosed LC patients were; irregular ultrasound shape (86%), hypoechoic echogenicity (88%), poorly circumscribed margin (95%), posterior acoustic enhancement (93%) and absent calcifications (81%). Using Fisher's extract test, it was found that stromal fibrosis, single file type pattern, atypical lobular hyperplasia and LC Grade II were significantly correlated with irregular shape and hypoechoic echogenicity.

CONCLUSION

A prognostic predictor tool can be designed from this study's findings which can then be used in practice to raise awareness of the unique morphometric markers related to LC of the breast.

摘要

引言

尽管乳腺癌的发病率和复发率较高,但目前尚无生物标志物可预测哪些病例会发展为小叶癌(LC)。本研究的目的是确定LC的超声形态学特征与组织病理学分类之间的关联。

方法

对2013年1月至2016年12月期间确诊为LC的100例患者的超声图像和组织病理学报告进行回顾性横断面研究。

结果

在确诊为LC的患者数据集中最常报告的形态学超声特征为:超声形状不规则(86%)、低回声(88%)、边界不清(95%)、后方回声增强(93%)及无钙化(81%)。使用Fisher提取检验发现,间质纤维化、单行排列模式、非典型小叶增生和LC二级与不规则形状和低回声显著相关。

结论

可根据本研究结果设计一种预后预测工具,然后在实践中用于提高对与乳腺LC相关的独特形态学标志物的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3068/6745349/6768a3e389d8/JMRS-66-177-g001.jpg

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