Literature DB >> 29571798

Diagnostic performance of coronary CT angiography with ultra-high-resolution CT: Comparison with invasive coronary angiography.

Hidenobu Takagi1, Ryoichi Tanaka2, Kyohei Nagata3, Ryo Ninomiya4, Kazumasa Arakita5, Joanne D Schuijf6, Kunihiro Yoshioka7.   

Abstract

PURPOSE: Recently, ultra-high-resolution computed tomography (U-HRCT) with a 0.25 mm × 128-row detector was introduced. The purpose of this study was to evaluate the diagnostic performance of coronary CT angiography (CCTA) using U-HRCT.
METHODS: This retrospective study included 38 consecutive patients with suspected coronary artery disease (CAD) who underwent CCTA with U-HRCT followed by invasive coronary angiography (ICA). Per-segment diameter stenosis was calculated. Diagnostic performance of CCTA relative to ICA as the reference standard was determined. For segments with >30% diameter stenosis, the correlation and agreement of percent diameter stenosis between CCTA and ICA were calculated.
RESULTS: Obstructive CAD was observed in 65 segments (12%) of 51 vessels (45%) in 32 patients (84%) during ICA. The per-patient, vessel, and segment analyses showed a sensitivity of 100% (95% confidence interval [CI], 95%-100%), 96% (95% CI: 89%-99%) and 95% (95% CI: 89%-98%), respectively, and a specificity of 67% (95% CI: 38%-67%), 81% (95% CI: 75%-83%) and 96% (95% CI: 96%-97%), respectively. The percentage of diameter stenosis, as determined by CCTA, demonstrated an excellent correlation with ICA (R = 0.90; 95% CI: 0.83-0.95) and a slight significant overestimation (mean: 4% ± 7%, p < .01), with the agreed range of limits being ± 16%. The median effective radiation dose for CCTA was 5.4 mSv (range: 2.9-18.0 mSv).
CONCLUSIONS: CCTA with U-HRCT demonstrated an excellent correlation and agreement with ICA in the quantification of coronary artery stenosis.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coronary CT angiography; Coronary artery disease; Invasive coronary angiography; Ultra-High-Resolution CT (U-HRCT)

Mesh:

Year:  2018        PMID: 29571798     DOI: 10.1016/j.ejrad.2018.01.030

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  13 in total

1.  Ultra-High-Resolution Coronary CT Angiography for Assessment of Patients with Severe Coronary Artery Calcification: Initial Experience.

Authors:  Jacqueline Latina; Mahsima Shabani; Karan Kapoor; Seamus P Whelton; Jeffrey C Trost; Jaclyn Sesso; Shadpour Demehri; Mahadevappa Mahesh; João A C Lima; Armin Arbab-Zadeh
Journal:  Radiol Cardiothorac Imaging       Date:  2021-08-26

2.  Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.

Authors:  Yoshiharu Ohno; Naruomi Akino; Yasuko Fujisawa; Hirona Kimata; Yuya Ito; Kenji Fujii; Yumi Kataoka; Yoshihiro Ida; Yuka Oshima; Nayu Hamabuchi; Chika Shigemura; Ayumi Watanabe; Yuki Obama; Satomu Hanamatsu; Takahiro Ueda; Hirotaka Ikeda; Kazuhiro Murayama; Hiroshi Toyama
Journal:  Eur Radiol       Date:  2022-07-16       Impact factor: 7.034

3.  Importance of the heart rate in ultra-high-resolution coronary CT angiography with 0.35 s gantry rotation time.

Authors:  Tsukasa Kojima; Takashi Shirasaka; Yuzo Yamasaki; Masatoshi Kondo; Hiroshi Hamasaki; Ryoji Mikayama; Yuki Sakai; Toyoyuki Kato; Akihiro Nishie; Kousei Ishigami; Hidetake Yabuuchi
Journal:  Jpn J Radiol       Date:  2022-04-09       Impact factor: 2.701

4.  Synchrotron radiation computed tomography assessment of calcified plaques and coronary stenosis with different slice thicknesses and beam energies on 3D printed coronary models.

Authors:  Zhonghua Sun; Curtise K C Ng; Andrew Squelch
Journal:  Quant Imaging Med Surg       Date:  2019-01

Review 5.  Next-Generation Hardware Advances in CT: Cardiac Applications.

Authors:  Alan C Kwan; Amir Pourmorteza; Dan Stutman; David A Bluemke; João A C Lima
Journal:  Radiology       Date:  2020-11-17       Impact factor: 11.105

6.  The accuracy of coronary CT angiography in patients with coronary calcium score above 1000 Agatston Units: Comparison with quantitative coronary angiography.

Authors:  Alan C Kwan; Heidi Gransar; Evangelos Tzolos; Billy Chen; Yuka Otaki; Eyal Klein; Adele J Pope; Donghee Han; Andrew Howarth; Nishita Jain; Damini Dey; Robert Jh Miller; Victor Cheng; Babak Azarbal; Daniel S Berman
Journal:  J Cardiovasc Comput Tomogr       Date:  2021-03-20

7.  Quantitative Emphysema Measurement On Ultra-High-Resolution CT Scans.

Authors:  Yanyan Xu; Tsuneo Yamashiro; Hiroshi Moriya; Shun Muramatsu; Sadayuki Murayama
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2019-10-08

8.  Image quality improvement with deep learning-based reconstruction on abdominal ultrahigh-resolution CT: A phantom study.

Authors:  Takashi Shirasaka; Tsukasa Kojima; Yoshinori Funama; Yuki Sakai; Masatoshi Kondo; Ryoji Mikayama; Hiroshi Hamasaki; Toyoyuki Kato; Yasuhiro Ushijima; Yoshiki Asayama; Akihiro Nishie
Journal:  J Appl Clin Med Phys       Date:  2021-06-23       Impact factor: 2.102

9.  Improved image quality of temporal bone CT with an ultrahigh-resolution CT scanner: clinical pilot studies.

Authors:  Arisa Ohara; Haruhiko Machida; Hisae Shiga; Wataru Yamamura; Kenichi Yokoyama
Journal:  Jpn J Radiol       Date:  2020-05-11       Impact factor: 2.374

Review 10.  The evolution of image reconstruction for CT-from filtered back projection to artificial intelligence.

Authors:  Martin J Willemink; Peter B Noël
Journal:  Eur Radiol       Date:  2018-10-30       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.