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预测恶性程度的浸润性导管乳腺癌的超声特征。

Sonographic features of invasive ductal breast carcinomas predictive of malignancy grade.

作者信息

Gupta Kanika, Kumaresan Meenakshisundaram, Venkatesan Bhuvaneswari, Chandra Tushar, Patil Aruna, Menon Maya

机构信息

Department of Radiodiagnosis, ESI Medical College and PGIMSR, Chennai, Tamil Nadu, India.

Department of Pathology, ESI Medical College and PGIMSR, Chennai, Tamil Nadu, India.

出版信息

Indian J Radiol Imaging. 2018 Jan-Mar;28(1):123-131. doi: 10.4103/ijri.IJRI_257_17.

DOI:10.4103/ijri.IJRI_257_17
PMID:29692540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5894308/
Abstract

CONTEXT

Assessment of individual sonographic features provides vital clues about the biological behavior of breast masses and can assist in determining histological grade of malignancy and thereby prognosis.

AIMS

Assessment of individual sonographic features of biopsy proven invasive ductal breast carcinomas as predictors of malignancy grade.

SETTINGS AND DESIGN

A retrospective analysis of sonographic findings of 103 biopsy proven invasive ductal breast carcinomas.

MATERIALS AND METHODS

Tumor characteristics on gray-scale ultrasound and color flow were assessed using American College of Radiology (ACR) Breast Imaging Reporting and Data System (BI-RADS) Atlas Fifth Edition. The sonographic findings of masses were individually correlated with their histopathologic grades.

STATISTICAL ANALYSIS USED

Chi square test, ordinal regression, and Goodman and Kruskal tau test.

RESULTS

Breast mass showing reversal/lack of diastolic flow has a high probability of belonging to histological high grade tumor (). The masses with abrupt interface boundary are more likely grade 3 () in comparison to masses with echogenic halos. The suspicious calcifications present in and outside the mass is a finding associated with histologically high grade tumors. The invasive ductal carcinomas (IDCs) with complex solid and cystic echotexture are more likely to be of high histological grade () as compared to masses with hypoechoic echotexture.

CONCLUSIONS

Certain ultrasound features are associated with tumor grade on histopathology. If the radiologist is cognizant of these sonographic features, ultrasound can be a potent modality for predicting histopathological grade of IDCs of the breast, especially in settings where advanced tests such as receptor and molecular analyses are limited.

摘要

背景

对个体超声特征的评估可为乳腺肿块的生物学行为提供重要线索,并有助于确定恶性肿瘤的组织学分级,进而判断预后。

目的

评估经活检证实的浸润性导管癌的个体超声特征,以预测恶性程度分级。

设置与设计

对103例经活检证实的浸润性导管癌的超声检查结果进行回顾性分析。

材料与方法

使用美国放射学会(ACR)乳腺影像报告和数据系统(BI-RADS)第五版图谱评估灰阶超声和彩色血流的肿瘤特征。将肿块的超声检查结果与其组织病理学分级进行个体相关性分析。

所用统计分析方法

卡方检验、有序回归分析以及古德曼和克鲁斯卡尔tau检验。

结果

显示舒张期血流逆转/消失的乳腺肿块很可能属于组织学高级别肿瘤()。与有回声晕的肿块相比,界面边界突然的肿块更可能为3级()。肿块内外出现的可疑钙化是与组织学高级别肿瘤相关的表现。与低回声质地的肿块相比,具有复杂实性和囊性回声结构的浸润性导管癌(IDC)更可能为高组织学分级()。

结论

某些超声特征与组织病理学上的肿瘤分级相关。如果放射科医生了解这些超声特征,超声可以成为预测乳腺IDC组织病理学分级的有效手段,尤其是在受体和分子分析等先进检查受限的情况下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/8d49a0e357df/IJRI-28-123-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/7a081aee97e3/IJRI-28-123-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/7d134498d95c/IJRI-28-123-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/da198811886f/IJRI-28-123-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/387c7dea129b/IJRI-28-123-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/e10feceff1b6/IJRI-28-123-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/2d757c8df9cb/IJRI-28-123-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/773982d926ba/IJRI-28-123-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/8d49a0e357df/IJRI-28-123-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/7a081aee97e3/IJRI-28-123-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/7d134498d95c/IJRI-28-123-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/da198811886f/IJRI-28-123-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/387c7dea129b/IJRI-28-123-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/e10feceff1b6/IJRI-28-123-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/2d757c8df9cb/IJRI-28-123-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/773982d926ba/IJRI-28-123-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c86/5894308/8d49a0e357df/IJRI-28-123-g012.jpg

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