Temporal subtraction of low-dose and relatively thick-slice CT images with large deformation diffeomorphic metric mapping and adaptive voxel matching for detection of bone metastases: A STARD-compliant article. Issue 12 (March 2020)

• Record Type: Journal Article
• Authors: Tsuchiya, Mitsuteru; Masui, Takayuki; Katayama, Motoyuki; Hayashi, Yuki; Yamada, Takahiro; Terauchi, Kazuma; Kawamura, Kenshi; Ishikawa, Ryo; Mizobe, Hideaki; Yamamichi, Junta; Sakahara, Harumi; Goshima, Satoshi
• Other Names: NA. section editor.
• Is Part Of: Medicine. Volume 99:Issue 12(2020)
• Publication Date: 2020-03
• Subjects: computer-assisted diagnosis -- multidetector computed tomography -- neoplasm metastases -- positron emission tomography-computed tomography -- sensitivity and specificity -- subtraction technique; Medicine -- Periodicals; Medicine -- Periodicals; Médecine -- Périodiques; Geneeskunde; Medicine; Periodicals; Periodicals; 610.5
• DOI: 10.1097/MD.0000000000019538
• Languages: English
• ISSNs: 0025-7974

Abstract

Abstract : Abstract: To evaluate the improvement of radiologist performance in detecting bone metastases at follow up low-dose computed tomography (CT) by using a temporal subtraction (TS) technique based on an advanced nonrigid image registration algorithm. Twelve patients with bone metastases (males, 5; females, 7; mean age, 64.8 ± 7.6 years; range 51–81 years) and 12 control patients without bone metastases (males, 5; females, 7; mean age, 64.8 ± 7.6 years; 51–81 years) were included, who underwent initial and follow-up CT examinations between December 2005 and July 2016. Initial CT images were registered to follow-up CT images by the algorithm, and TS images were created. Three radiologists independently assessed the bone metastases with and without the TS images. The reader averaged jackknife alternative free-response receiver operating characteristics figure of merit was used to compare the diagnostic accuracy. The reader-averaged values of the jackknife alternative free-response receiver operating characteristics figures of merit (θ) significantly improved from 0.687 for the readout without TS and 0.803 for the readout with TS ( P value = .031. F statistic = 5.24). The changes in the absolute value of CT attenuations in true-positive lesions were significantly larger than those in false-negative lesions ( P < .001). Using TS, segment-based sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of the readout with TS were 66.7%, 98.9%, 94.4%, 90.9%, and 94.8%, respectively. The TS images can significantly improve the radiologist's performance in the detection of bone metastases on low-dose and relatively thick-slice CT.