Randall David, Joosten Frank, Ten Broek Richard Peter, Gillott Richard, Bardhan Karna Dev, Strik Chema, Prins Wiesje, van Goor Harry, Fenner John Wesley
Medical Physics, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Radiologie, Rijnstate Hospital, Arnhem, Netherlands.
Br J Radiol. 2017 Aug;90(1077):20170158. doi: 10.1259/bjr.20170158. Epub 2017 Jul 14.
A non-invasive diagnostic technique for abdominal adhesions is not currently available. Capture of abdominal motion due to respiration in cine-MRI has shown promise, but is difficult to interpret. This article explores the value of a complimentary diagnostic aid to facilitate the non-invasive detection of abdominal adhesions using cine-MRI.
An image processing technique was developed to quantify the amount of sliding that occurs between the organs of the abdomen and the abdominal wall in sagittal cine-MRI slices. The technique produces a "sheargram" which depicts the amount of sliding which has occurred over 1-3 respiratory cycles. A retrospective cohort of 52 patients, scanned for suspected adhesions, made 281 cine-MRI sagittal slices available for processing. The resulting sheargrams were reported by two operators and compared with expert clinical judgment of the cine-MRI scans.
The sheargram matched clinical judgment in 84% of all sagittal slices and 93-96% of positive adhesions were identified on the sheargram. The sheargram displayed a slight skew towards sensitivity over specificity, with a high positive adhesion detection rate but at the expense of false positives.
Good correlation between sheargram and absence/presence of inferred adhesions indicates quantification of sliding motion has potential to aid adhesion detection in cine-MRI.
This is the first attempt to clinically evaluate a novel image processing technique quantifying the sliding motion of the abdominal contents against the abdominal wall. The results of this pilot study reveal its potential as a diagnostic aid for detection of abdominal adhesions.
目前尚无用于诊断腹部粘连的非侵入性技术。电影磁共振成像(cine-MRI)中捕捉因呼吸引起的腹部运动已显示出前景,但难以解读。本文探讨一种辅助诊断工具的价值,以促进使用cine-MRI对腹部粘连进行非侵入性检测。
开发了一种图像处理技术,用于量化矢状面cine-MRI切片中腹部器官与腹壁之间发生的滑动量。该技术生成一张“剪应变图”,描绘了在1至3个呼吸周期内发生的滑动量。回顾性队列研究纳入了52例因疑似粘连而接受扫描的患者,共获得281张可用于处理的矢状面cine-MRI切片。两名操作人员对生成的剪应变图进行报告,并与cine-MRI扫描的专家临床判断进行比较。
剪应变图与所有矢状面切片中84%的临床判断相符,在剪应变图上识别出93%-96%的阳性粘连。剪应变图显示出对敏感性的轻微偏向,高于特异性,粘连检测阳性率高,但代价是假阳性。
剪应变图与推断粘连的有无之间具有良好的相关性,表明滑动运动的量化有可能辅助cine-MRI检测粘连。
这是首次尝试临床评估一种量化腹部内容物相对于腹壁滑动运动的新型图像处理技术。这项初步研究的结果揭示了其作为腹部粘连检测诊断辅助工具的潜力。