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基于超声的三阴性和非三阴性乳腺癌预测的对比分析及列线图构建:泉州市第一医院的一项4年单中心研究

Ultrasound-based comparative analysis and nomogram development for predicting triple-negative and non-triple-negative breast cancer: a 4-year institutional study in Quanzhou First Hospital.

作者信息

Su Liyang, Xie Qiaojie, Chen Jiaohong, Zhang Qingquan, Li Nian, Hong Chuntian

机构信息

Department of Ultrasonography, Quanzhou First Hospital, Quanzhou, Fujian, China.

Department of Ultrasonography, Quanzhou First Hospital, Quanzhou, Fujian, China

出版信息

BMJ Open. 2024 Jun 13;14(6):e085340. doi: 10.1136/bmjopen-2024-085340.

Abstract

OBJECTIVE

The objective of this study was to compare ultrasound features and establish a predictive nomogram for distinguishing between triple-negative breast cancer (TNBC) and non-TNBC.

DESIGN

A retrospective cohort study.

SETTING

This study was conducted at Quanzhou First Hospital, a grade A tertiary hospital in Quanzhou, China, with the research data set covering the period from September 2019 to August 2023.

PARTICIPANTS

The study included a total of 205 female patients with confirmed TNBC and 574 female patients with non-TNBC, who were randomly divided into a training set and a validation set at a ratio of 7:3.

MAIN OUTCOME MEASURES

All patients underwent ultrasound examination and received a confirmatory pathological diagnosis. Nodules were classified according to the Breast Imaging-Reporting and Data System standard. Subsequently, the study conducted a comparative analysis of clinical characteristics and ultrasonic features.

RESULTS

A statistically significant difference was observed in multiple clinical and ultrasonic features between TNBC and non-TNBC. Specifically, in the logistic regression analysis conducted on the training set, indicators such as posterior echo, lesion size, presence of clinical symptoms, margin characteristics, internal blood flow signals, halo and microcalcification were found to be statistically significant (p<0.05). These significant indicators were then effectively incorporated into a static and dynamic nomogram model, demonstrating high predictive performance in distinguishing TNBC from non-TNBC.

CONCLUSION

The results of our study demonstrated that ultrasound features can be valuable in distinguishing between TNBC and non-TNBC. The presence of posterior echo, size, clinical symptoms, margin, internal flow, halo and microcalcification was identified as predictive factors for this differentiation. Microcalcification, hyperechoic halo, internal flow and clinical symptoms emerged as the strongest predictive factors, indicating their potential as reliable indicators for identifying TNBC and non-TNBC.

摘要

目的

本研究的目的是比较超声特征,并建立一个预测列线图,以区分三阴性乳腺癌(TNBC)和非TNBC。

设计

一项回顾性队列研究。

地点

本研究在泉州市第一医院进行,这是中国泉州市的一家三级甲等医院,研究数据集涵盖2019年9月至2023年8月期间。

参与者

该研究共纳入205例确诊为TNBC的女性患者和574例非TNBC的女性患者,这些患者以7:3的比例随机分为训练集和验证集。

主要观察指标

所有患者均接受超声检查并获得确诊的病理诊断。结节根据乳腺影像报告和数据系统标准进行分类。随后,该研究对临床特征和超声特征进行了对比分析。

结果

TNBC和非TNBC在多个临床和超声特征上存在统计学显著差异。具体而言,在对训练集进行的逻辑回归分析中,发现后方回声、病灶大小是否存在临床症状、边缘特征、内部血流信号、晕环和微钙化等指标具有统计学显著性(p<0.05)。然后将这些显著指标有效地纳入静态和动态列线图模型中,该模型在区分TNBC和非TNBC方面表现出较高的预测性能。

结论

我们的研究结果表明,超声特征在区分TNBC和非TNBC方面可能具有重要价值。后方回声、大小、临床症状、边缘、内部血流、晕环和微钙化的存在被确定为这种区分的预测因素。微钙化、高回声晕环、内部血流和临床症状是最强的预测因素,表明它们有可能作为识别TNBC和非TNBC的可靠指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d4d/11177694/af566ed43448/bmjopen-2024-085340f01.jpg

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