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定量分析对比增强光谱乳腺摄影灰度值对乳腺癌新辅助化疗病理反应的早期预测。

Quantitative analysis of contrast enhanced spectral mammography grey value for early prediction of pathological response of breast cancer to neoadjuvant chemotherapy.

机构信息

Department of Radiology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, No. 20 Yuhuangding East Road, Yantai, 264000, Shandong, People's Republic of China.

GE Healthcare, Institute of Precision Medicine, No. 1 Huatuo Road, Shanghai, 201203, People's Republic of China.

出版信息

Sci Rep. 2021 Mar 15;11(1):5892. doi: 10.1038/s41598-021-85353-9.

DOI:10.1038/s41598-021-85353-9
PMID:33723322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7960703/
Abstract

A quantitative analysis of contrast-enhanced spectral mammography (CESM) enhancement was conducted for the early prediction of the pathological response after neoadjuvant chemotherapy (NAC). Retrospective analysis of the data of 111 patients was conducted, and all of them underwent NAC in our hospital and surgical resection after the end of all cycles from January 2018 to May 2019. They were divided into pathological complete response (PCR) and non-PCR groups. We determined whether a statistical difference in the percentage of CESM grey value reduction (ΔCGV) was present in the PCR and non-PCR groups and whether a statistical difference was observed in the diagnostic efficiency of craniocaudal (CC) and mediolateral oblique (MLO) view subtraction images. Independent sample t-test was used to compare different groups, the receiver operating characteristic (ROC) curve was used to compare the diagnostic efficacy of CC and MLO for pathological response after NAC, and the Delong test was used to compare the area under the ROC curve (AUC). Statistical significance was considered at P < 0.05. A statistical difference was observed in the ΔCGV in the PCR and non-PCR groups. No statistical difference was observed in the AUCs of CC and MLO view subtraction images. The ΔCGV can be used as a quantitative index to predict PCR early, and no statistical difference was observed in the diagnostic efficacy of CC and MLO view subtraction images.

摘要

对对比增强光谱乳腺摄影(CESM)增强进行定量分析,以预测新辅助化疗(NAC)后病理反应。回顾性分析了 2018 年 1 月至 2019 年 5 月在我院接受 NAC 并在所有周期结束后进行手术切除的 111 例患者的数据。他们被分为病理完全缓解(PCR)组和非-PCR 组。我们确定了 PCR 组和非-PCR 组之间 CESM 灰度值减少百分比(ΔCGV)是否存在统计学差异,以及头尾位(CC)和内外斜位(MLO)减影图像的诊断效率是否存在统计学差异。采用独立样本 t 检验比较不同组,采用受试者工作特征(ROC)曲线比较 CC 和 MLO 对 NAC 后病理反应的诊断效能,并采用 Delong 检验比较 ROC 曲线下面积(AUC)。P<0.05 为差异有统计学意义。PCR 组和非-PCR 组的ΔCGV 存在统计学差异。CC 和 MLO 位减影图像的 AUC 无统计学差异。ΔCGV 可作为预测 PCR 的定量指标,CC 和 MLO 位减影图像的诊断效能无统计学差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6973/7960703/2aa8d3740d44/41598_2021_85353_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6973/7960703/795b0cc096d4/41598_2021_85353_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6973/7960703/f61d4ee5b919/41598_2021_85353_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6973/7960703/2aa8d3740d44/41598_2021_85353_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6973/7960703/795b0cc096d4/41598_2021_85353_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6973/7960703/f61d4ee5b919/41598_2021_85353_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6973/7960703/2aa8d3740d44/41598_2021_85353_Fig3_HTML.jpg

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