Predicting Preoperative Pathologic Grades of Bladder Cancer Using Intravoxel Incoherent Motion and Amide Proton Transfer-Weighted Imaging

盒内非相干运动 医学 膀胱癌 核医学 放射科 癌症 磁共振成像 磁共振弥散成像 内科学
作者
Ling‐Yu Chang,Xinghua Xu,Guangtai Wu,Lianhua Cheng,Shuyi Li,Wen-Cheng Lv,Dmytro Pylypenko,Weiqiang Dou,Dexin Yu,Qing Wang,Fang Wang
出处
期刊:Academic Radiology [Elsevier BV]
卷期号:31 (4): 1438-1446 被引量:5
标识
DOI:10.1016/j.acra.2023.09.044
摘要

Rationale and Objectives

To investigate the predictive value of intravoxel incoherent motion (IVIM) combined with amide proton transfer-weighted (APTw) imaging for the preoperative grading of bladder cancer (BC).

Materials and Methods

A total of 69 patients with histopathologically confirmed BC underwent diffusion-weighted imaging (DWI), IVIM, and APTw imaging at 3.0 T MRI. Two radiologists independently measured the mean apparent diffusion coefficient (ADC) in DWI, true diffusion coefficient (D), perfusion-related pseudo-diffusion coefficient (D*), and perfusion fraction (f) in IVIM, and APTw values, respectively. The areas under the receiver operating characteristic curves (AUCs) were utilized to compare the diagnostic efficacy of these single and combined quantitative parameters.

Results

ADC and D values of low-grade BC were significantly higher than those of high-grade BC ([1.42 ± 0.20 ×10−3 mm2/s] vs. [1.09 ± 0.25 ×10−3 mm2/s] and [1.24 ± 0.24 ×10−3 mm2/s] vs. [0.89 ± 0.18 ×10−3 mm2/s], respectively; all P < 0.001). Opposite patterns were found for APTw ( [1.53 ± 0.42]% vs. [2.38 ± 0.71]%, P < 0.001). The ROC curves indicated that the combination of D and APTw values could distinguish low- from high-grades of BC with the highest predictive efficacy (AUC = 0.96), as well as a significant difference compared to those by ADC, D, and APTw values separately (AUC = 0.84, 0.88, 0.85, respectively; all P < 0.05).

Conclusion

IVIM combined with APTw imaging significantly improved the predictive efficacy of assessing low- and high-grade BC compared to the individual parameters on their own, providing an effective non-invasive method for clinical preoperative prediction of BC grading.
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