Literature DB >> 21937862

Comparison of capability of abdominal 320-detector row CT and of 16-detector row CT for small vasculature assessment.

Ryo Sugihara1, Kazuhiro Kitajima, Tetsuo Maeda, Takeshi Yoshikawa, Minoru Konishi, Naoki Kanata, Tomonori Kanda, Hisanobu Koyama, Daisuke Takenaka, Yoshiharu Ohno, Kazuro Sugimura.   

Abstract

The purpose of our study was to compare the capability of the 320-detector row CT (area-detector CT: ADCT) using the step-and-shoot scan protocol for small abdominal vasculature assessment with that of the 16-detector row CT using the helical scan protocol. Contrast-enhanced abdominal CT for preoperative assessment was administered to 25 patients, 18 of whom, suspected of having lung cancer, underwent ADCT using the step-and-shoot scan protocol, while the remaining 7, suspected of having renal cell carcinoma, underwent 16-MDCT using the helical scan protocol. Two experienced abdominal radiologists independently assessed renal interlobar and arcuate as well as mesenteric marginal (Griffith point) arteries by means of a 5-point visual scoring systems. Kappa analysis was used for evaluation of interobserver agreement. To compare the visualization capability of the two systems, the scores for each of the arteries were compared by using the Mann-Whitney U-test. Overall interobserver agreements for both systems were almost perfect (κ>0.78). Visualization scores for renal interlobar and arcuate, (p<0.0001) and mesenteric marginal (Griffith point) arteries (p<0.05) were significantly higher for ADCT than for 16-detector row CT. ADCT using the step-and-shoot scan protocol for small abdominal vasculature assessment can be considered superior to 16-detector row CT using the helical scan protocol.

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Year:  2011        PMID: 21937862

Source DB:  PubMed          Journal:  Kobe J Med Sci        ISSN: 0023-2513


  3 in total

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Authors:  Han Wang; Lin-Feng Zheng; Yan Feng; Xue-Qian Xie; Xiao-Ming Yang; Gui-Xiang Zhang
Journal:  Acad Radiol       Date:  2012-03       Impact factor: 3.173

2.  The efficacy of 320-detector row computed tomography for the assessment of preoperative pulmonary vasculature of candidates for pulmonary segmentectomy.

Authors:  Shinya Tane; Yoshiharu Ohno; Daisuke Hokka; Hiroyuki Ogawa; Shunsuke Tauchi; Wataru Nishio; Masahiro Yoshimura; Yutaka Okita; Yoshimasa Maniwa
Journal:  Interact Cardiovasc Thorac Surg       Date:  2013-09-07

3.  Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions.

Authors:  Ryo Matsukiyo; Yoshiharu Ohno; Takahiro Matsuyama; Hiroyuki Nagata; Hirona Kimata; Yuya Ito; Yukihiro Ogawa; Kazuhiro Murayama; Ryoichi Kato; Hiroshi Toyama
Journal:  Jpn J Radiol       Date:  2020-10-10       Impact factor: 2.374

  3 in total

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