Coronary computed tomography angiographic detection of in-stent restenosis via deep learning reconstruction: a feasibility study-Reference-Cited by-同舟云学术

Coronary computed tomography angiographic detection of in-stent restenosis via deep learning reconstruction: a feasibility study

Published:2023-09-06 Issue: Volume: Page:
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Kawai Hideki^ORCID,Motoyama Sadako,Sarai Masayoshi,Sato Yoshihiro,Matsuyama Takahiro,Matsumoto Ryota,Takahashi Hiroshi,Katagata Akio,Kataoka Yumi,Ida Yoshihiro,Muramatsu Takashi,Ohno Yoshiharu,Ozaki Yukio,Toyama Hiroshi,Narula Jagat,Izawa Hideo

Funder

Canon Medical Systems Corporation

Bayer Yakuhin

Daiichi-Sankyo

Dainippon Sumitomo Pharma

Kowa Company

Ono Pharmaceutical

Otsuka Pharmaceutical

Takeda Pharmaceutical Company

FUJIFILM Toyama Chemical

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-10110-7.pdf

Reference18 articles.

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2. Min JK, Leipsic J, Pencina MJ et al (2012) Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA 308:1237–1245

3. Min JK, Taylor CA, Achenbach S et al (2015) Noninvasive fractional flow reserve derived from coronary CT angiography: clinical data and scientific principles. JACC Cardiovasc Imaging 8:1209–1222

4. Pontone G, Rossi A, Guglielmo M et al (2022) Clinical applications of cardiac computed tomography: a consensus paper of the European Association of Cardiovascular Imaging-part I. Eur Heart J Cardiovasc Imaging 23:299–314

5. Motoyama S, Ito H, Sarai M et al (2018) Ultra-high-resolution computed tomography angiography for assessment of coronary artery stenosis. Circ J 82:1844–1851

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1. Super-resolution deep learning reconstruction to improve image quality of coronary CT angiography;Radiology Advances;2024-03-19

2. Coronary CT Angiography-Based Assessment of Coronary in-Stent Restenosis: A Journey through Past and Present Trends;Journal of the Korean Society of Radiology;2024