Alternative Title低線量かつ比較的厚いスライスのCTにおける大変形微分同相メトリックマッピングとアダプティブボクセルマッチングに基づく経時差分法を用いた骨転移検出: STARD準拠論文
Note (General)doctoral
医学系研究科
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.
DOIinfo:doi/10.1097/MD.0000000000019538
Collection (particular)国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文
Date Accepted (W3CDTF)2021-06-07T02:06:26+09:00
Data Provider (Database)国立国会図書館 : 国立国会図書館デジタルコレクション