超声定位显微镜在乳腺肿瘤诊断和与人类预后相关的相关组织学生物标志物预测中的应用:一项前瞻性、多中心研究的方案

IF 2.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jia Li, Lei Chen, Ronghui Wang, Jiang Zhu, Ao Li, Jianchun Li, Zhaojun Li, Wen Luo, Wenkun Bai, Tao Ying, Cong Wei, Di Sun, Yuanyi Zheng
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引用次数: 0

摘要

背景:乳腺良性肿瘤和恶性肿瘤的微血管形态和分布不同。乳腺恶性肿瘤的组织学生物标志物也与微血管相关。目前缺乏评价微血管的影像学技术。超声定位显微镜(ULM)可以在超分辨率下提供详细的微血管结构。本试验的目的是探讨ULM在区分乳腺良恶性肿瘤中的作用,并探讨恶性乳腺肿瘤中ULM定性、定量参数与组织学生物标志物之间的相关性。方法/设计:这项前瞻性多中心研究将纳入83例接受ULM的乳腺肿瘤患者。恶性组55例,良性组28例。主要结果是在定性参数(微血管形态、分布和血流方向)的差异在乳腺肿瘤的良性和恶性ULM。次要结局包括(1)基于ULM的乳腺良恶性肿瘤定量参数(微血管密度、弯曲度、直径、流速)的差异;(2)定性参数在乳腺良恶性肿瘤鉴别中的诊断作用;(3)定量参数在乳腺良恶性肿瘤鉴别中的诊断价值;(4)乳腺恶性肿瘤定性参数与组织学生物标志物的关系;(5)乳腺恶性肿瘤定量参数与组织学生物标志物的关系;(6)评价阅读器间和阅读器内的可重复性。讨论:乳腺肿瘤血管的检测对区分肿瘤良恶性及预测组织生物标志物具有重要意义。这些组织学生物标志物,如ER、PR、HER2和Ki67,与预后评估密切相关。该试验将提供有关乳腺肿瘤微血管的最大信息,从而有助于制定后续的鉴别诊断和预测组织学生物标志物。试验注册号/日期:中国临床试验注册中心chictr2100048361 /6 /July/2021。这项研究是临床试验的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasound localization microscopy in the diagnosis of breast tumors and prediction of relevant histologic biomarkers associated with prognosis in humans: the protocol for a prospective, multicenter study.

Background: Benign and malignant breast tumors differ in their microvasculature morphology and distribution. Histologic biomarkers of malignant breast tumors are also correlated with the microvasculature. There is a lack of imaging technology for evaluating the microvasculature. Ultrasound localization microscopy (ULM) can provide detailed microvascular architecture at super-resolution. The objective of this trial is to explore the role of ULM in distinguishing benign from malignant breast tumors and to explore the correlations between ULM qualitative and quantitative parameters and histologic biomarkers in malignant breast tumors.

Methods/design: This prospective and multicenter study will include 83 patients with breast tumors that will undergo ULM. 55 patients will be assigned to the malignant group, and 28 patients will be assigned to the benign group. The primary outcome is the differences in the qualitative parameters (microvasculature morphology, distribution, and flow direction) between benign and malignant breast tumors on ULM. Secondary outcomes include (1) differences in the quantitative parameters (microvasculature density, tortuosity, diameter, and flow velocity) between benign and malignant breast tumors based on ULM; (2) diagnostic performance of the qualitative parameters in distinguishing benign and malignant breast tumors; (3) diagnostic performance of the quantitative parameters in distinguishing benign and malignant breast tumors; (4) relationships between the qualitative parameters and histologic biomarkers in malignant breast tumors; (5) relationships between the quantitative parameters and histologic biomarkers in malignant breast tumors; and (6) the evaluation of inter-reader and intra-reader reproducibility.

Discussion: Detecting vascularity in breast tumors is of great significance to differentiate benign from malignant tumors and to predict histologic biomarkers. These histologic biomarkers, such as ER, PR, HER2 and Ki67, are closely related to prognosis evaluation. This trial will provide maximum information about the microvasculature of breast tumors and thereby will help with the formulation of subsequent differential diagnosis and the prediction of histologic biomarkers.

Trial registration number/date: Chinese Clinical Trial Registry ChiCTR2100048361/6th/July/2021. This study is a part of that clinical trial.

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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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