Sakamoto Ryo, Yakami Masahiro, Fujimoto Koji, Nakagomi Keita, Kubo Takeshi, Emoto Yutaka, Akasaka Thai, Aoyama Gakuto, Yamamoto Hiroyuki, Miller Michael I, Mori Susumu, Togashi Kaori
From the Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan (R.S., M.Y., K.F., T.K., T.A., K.T.); Advanced Information & Real-world Technology Development Center 1, Canon, Kyoto, Japan (K.N., G.A., H.Y.); Clinical Research Center for Medical Equipment Development, Kyoto University Hospital, Shogoin, Sakyo-ku, Kyoto, Japan (K.N., G.A., H.Y.); Department of Medical Science, Kyoto College of Medical Science, Oyama-Higashimachi, Sonobe-cho, Nantan, Kyoto, Japan (Y.E.); Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Md (M.I.M.); Center for Imaging Science, Johns Hopkins University, Baltimore, Md (M.I.M.); Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Md (S.M.); and F.M. Kirby Functional Imaging Center, Kennedy Krieger Institute, Johns Hopkins University, Baltimore, Md (S.M.).
Radiology. 2017 Nov;285(2):629-639. doi: 10.1148/radiol.2017161942. Epub 2017 Jul 3.
Purpose To determine the improvement of radiologist efficiency and performance in the detection of bone metastases at serial follow-up computed tomography (CT) by using a temporal subtraction (TS) technique based on an advanced nonrigid image registration algorithm. Materials and Methods This retrospective study was approved by the institutional review board, and informed consent was waived. CT image pairs (previous and current scans of the torso) in 60 patients with cancer (primary lesion location: prostate, n = 14; breast, n = 16; lung, n = 20; liver, n = 10) were included. These consisted of 30 positive cases with a total of 65 bone metastases depicted only on current images and confirmed by two radiologists who had access to additional imaging examinations and clinical courses and 30 matched negative control cases (no bone metastases). Previous CT images were semiautomatically registered to current CT images by the algorithm, and TS images were created. Seven radiologists independently interpreted CT image pairs to identify newly developed bone metastases without and with TS images with an interval of at least 30 days. Jackknife free-response receiver operating characteristics (JAFROC) analysis was conducted to assess observer performance. Reading time was recorded, and usefulness was evaluated with subjective scores of 1-5, with 5 being extremely useful and 1 being useless. Significance of these values was tested with the Wilcoxon signed-rank test. Results The subtraction images depicted various types of bone metastases (osteolytic, n = 28; osteoblastic, n = 26; mixed osteolytic and blastic, n = 11) as temporal changes. The average reading time was significantly reduced (384.3 vs 286.8 seconds; Wilcoxon signed rank test, P = .028). The average figure-of-merit value increased from 0.758 to 0.835; however, this difference was not significant (JAFROC analysis, P = .092). The subjective usefulness survey response showed a median score of 5 for use of the technique (range, 3-5). Conclusion TS images obtained from serial CT scans using nonrigid registration successfully depicted newly developed bone metastases and showed promise for their efficient detection. RSNA, 2017 Online supplemental material is available for this article.
目的 通过使用基于先进非刚性图像配准算法的时间减法(TS)技术,确定在系列随访计算机断层扫描(CT)中放射科医生检测骨转移瘤的效率和性能的改善情况。材料与方法 本回顾性研究经机构审查委员会批准,无需知情同意。纳入60例癌症患者(原发灶部位:前列腺癌,n = 14;乳腺癌,n = 16;肺癌,n = 20;肝癌,n = 10)的CT图像对(躯干的既往和当前扫描)。其中包括30例阳性病例,共有65处骨转移瘤仅在当前图像上显示,并由两名能够获取额外影像学检查和临床病程的放射科医生确诊,以及30例匹配的阴性对照病例(无骨转移瘤)。通过该算法将既往CT图像半自动配准到当前CT图像上,并创建TS图像。七名放射科医生独立解读CT图像对,以识别有无TS图像时新出现的骨转移瘤,间隔时间至少为30天。进行留一法自由响应接收器操作特性(JAFROC)分析以评估观察者的表现。记录阅读时间,并使用1 - 5分的主观评分评估其有用性,5分为极其有用,1分为无用。使用Wilcoxon符号秩检验对这些值的显著性进行检验。结果 减法图像将各种类型的骨转移瘤(溶骨性,n = 28;成骨性,n = 26;混合性溶骨和成骨,n = 11)描绘为时间变化。平均阅读时间显著缩短(384.3秒对286.8秒;Wilcoxon符号秩检验,P = 0.028)。平均品质因数从0.758增加到0.835;然而,这种差异不显著(JAFROC分析,P = 0.092)。主观有用性调查的回复显示该技术使用的中位数评分为5分(范围为3 - 5分)。结论 使用非刚性配准从系列CT扫描中获得的TS图像成功描绘了新出现的骨转移瘤,并显示出高效检测它们的前景。RSNA,2017 本文提供在线补充材料。