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视觉分析与表观扩散系数定量在鉴别扩散加权成像中肝脏局灶性良恶性病变的准确性。

Accuracy of visual analysis vs. apparent diffusion coefficient quantification in differentiating solid benign and malignant focal liver lesions with diffusion-weighted imaging.

机构信息

Institute of Diagnostic Radiology, University of Udine, Azienda Ospedaliero-Universitaria "S. Maria della Misericordia", Udine, Italy.

出版信息

Radiol Med. 2013 Apr;118(3):343-55. doi: 10.1007/s11547-012-0873-z. Epub 2012 Sep 17.

Abstract

PURPOSE

The authors compared the accuracy of diffusion-weighted imaging (DWI) visual analysis (VA) vs. apparent diffusion coefficient quantification (ADC-Q) in assessing malignancy of solid focal liver lesions (FLLs).

MATERIALS AND METHODS

Using a 1.5-T system, two radiologists retrospectively assessed as benign or malignant 50 solid FLLs: (a) by VA of signal intensity on DWI images at b=800 s/mm(2) and ADC map; (b) by quantifying lesion ADC. Reference standard included histology or follow-up confirmation of diagnosis by a consensus panel. Receiver operating characteristic (ROC) curve analysis was performed.

RESULTS

because of 20 false-negative hepatocellular carcinomas, VA showed lower accuracy than ADC-Q (52.0% VS. 68.0%). however, stratified accuracy for metastases was higher with VA (75.0 VS. 66%). ADC and signal features of malignant and benign FLLs were found to largely overlap.

CONCLUSIONS

VA performed worse than ADC-Q for hepatocellular carcinoma and better for metastases. Overall, the accuracy of both methods was limited because of the overlap in visual appearance and ADC values between solid benign and malignant FLLs.

摘要

目的

作者比较了弥散加权成像(DWI)视觉分析(VA)与表观扩散系数定量(ADC-Q)在评估实性局灶性肝脏病变(FLL)恶性程度中的准确性。

材料与方法

使用 1.5-T 系统,两名放射科医生对 50 个实性 FLL 进行回顾性评估,分为良性或恶性:(a)通过 DWI 图像 b=800 s/mm²时的信号强度 VA 和 ADC 图;(b)通过定量病变 ADC。参考标准包括组织学或共识小组的随访诊断确认。进行了受试者工作特征(ROC)曲线分析。

结果

由于 20 例肝细胞癌假阴性,VA 的准确性低于 ADC-Q(52.0% VS. 68.0%)。然而,VA 对转移瘤的分层准确性更高(75.0 VS. 66.0%)。恶性和良性 FLL 的 ADC 和信号特征发现存在很大重叠。

结论

VA 在肝细胞癌中的表现不如 ADC-Q,在转移瘤中表现更好。总体而言,由于实性良性和恶性 FLL 之间在视觉外观和 ADC 值方面存在重叠,两种方法的准确性均有限。

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