实验性乳腺肿瘤对比增强磁共振图像特征中感兴趣区域测量方法的选择

The choice of region of interest measures in contrast-enhanced magnetic resonance image characterization of experimental breast tumors.

作者信息

Preda Anda, Turetschek Karl, Daldrup Heike, Floyd Eugenia, Novikov Viktor, Shames David M, Roberts Timothy P L, Carter Wayne O, Brasch Robert C

机构信息

Center for Pharmaceutical and Molecular Imaging, Department of Radiology, University of California San Francisco, CA 94143, USA.

出版信息

Invest Radiol. 2005 Jun;40(6):349-54. doi: 10.1097/01.rli.0000163740.40474.48.

DOI:10.1097/01.rli.0000163740.40474.48

PMID:15905721

Abstract

OBJECTIVES

The objectives of this study were to determine if magnetic resonance (MR) estimates of quantitative tissue microvascular characteristics from regions of interest (ROI) limited to the tumor periphery provided a better correlation with tumor histologic grade than ROI defined for the whole tumor in cross-section.

METHODS

A metaanalysis was based on 98 quantitative MR image breast tumor characterizations acquired in 3 separate experimental studies using identical methods for tumor induction and contrast enhancement.

RESULTS

The endothelial transfer coefficient (K) of albumin (Gd-DTPA)30 from the tumor periphery correlated (r = 0.784) significantly more strongly (P < 0.001) with the pathologic tumor grade than K derived from the whole tumor (r = 0.604). K estimates, either from the tumor periphery or from the whole tumor, correlated significantly more strongly with histologic grade (P < 0.01) than MR image estimates of fractional plasma volume (fPV) from either tumor periphery (r = 0.368) or whole tumor (r = 0.323).

CONCLUSIONS

K estimates from the tumor periphery were the best of these measurable MR image microvascular characteristics for predicting the histologic grade.

摘要

目的

本研究的目的是确定，对于定量组织微血管特征，局限于肿瘤周边区域的感兴趣区（ROI）的磁共振（MR）估计值，与肿瘤组织学分级的相关性是否优于肿瘤横截面整体定义的ROI。

方法

一项荟萃分析基于98个定量MR图像乳腺肿瘤特征，这些特征是在3项独立实验研究中获得的，采用相同的肿瘤诱导和对比增强方法。

结果

来自肿瘤周边的白蛋白（钆喷酸葡胺）30的内皮转运系数（K）与病理肿瘤分级的相关性（r = 0.784）显著强于（P < 0.001）来自整个肿瘤的K（r = 0.604）。来自肿瘤周边或整个肿瘤的K估计值与组织学分级的相关性（P < 0.01）显著强于来自肿瘤周边（r = 0.368）或整个肿瘤（r = 0.323）的分数血浆容量（fPV）的MR图像估计值。