Computed diffusion-weighted imaging using 1.5-T magnetic resonance imaging for prostate cancer diagnosis

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• 作者：Rika Yoshida^a ; ^{ryoshida0917@yahoo.co.jp} ; Takeshi Yoshizako^a ; Takashi Katsube^a ; Yukihisa Tamaki^b ; Noriyoshi Ishikawa^c ; Hajime Kitagaki^a
• 关键词：cDWI ; computed diffusion-weighted MR imaging ; mDWI ; measured diffusion-weighted MR imaging ; DWI ; diffusion-weighted imaging ; MRI ; magnetic resonance imaging ; T2-WI ; T2-weighted images ; ADC ; apparent diffusion coefficient ; DICOM ; Digital Imaging and Communications in Medicine ; ROIs ; regions of interest ; SI ; signal intensity ; ROC curve ; receiver operating characteristic curve ; Az ; area under the curve ; Sen ; sensitivity ; Spe ; specificity ; PPV ; positive predictive value ; NPV ; negative predictive val
• 刊名：Clinical Imaging
• 出版年：2017
• 出版时间：January-February 2017
• 年：2017
• 卷：41
• 期：Complete
• 页码：78-82
• 全文大小：699 K
• 卷排序：41

文摘

Computed diffusion-weighted magnetic resonance imaging (cDWI) is gradually being known to be useful to detect prostate cancer. We found that cDWIs (b=2000 s/mm2) were easily generated from measured DWIs (mDWIs) with image processing using Image J and that the contrast ratio (CR) of cDWIs-2000 appeared to be higher than the CR of mDWIs-1000 and mDWIs-2000. The diagnostic ability of cDWI-2000 for prostate cancer detection was equivalent to that of mDWI-2000. There is a possibility that cDWIs-2000 can replace mDWIs-2000.