Literature DB >> 17890354

Contrast-enhanced 64-section coronary multidetector CT angiography versus conventional coronary angiography for stent assessment.

K M Das1, Ayman A El-Menyar, Amar M Salam, Rajvir Singh, Wafer Amin K Dabdoob, Hajar A Albinali, Jassim Al Suwaidi.   

Abstract

PURPOSE: To prospectively evaluate the accuracy of 64-section computed tomography (CT) for diagnosis of stent restenosis, by using conventional coronary angiography as the reference standard.
MATERIALS AND METHODS: The ethics committee granted permission for the study; patients gave written consent. Contrast material-enhanced coronary CT angiography was performed in 53 patients (45 men, eight women; mean age, 54 years +/- 9 [standard deviation]) suspected of having stent restenosis. Coronary CT angiographic findings were compared with conventional coronary angiographic findings. Two physicians analyzed coronary CT angiographic data sets with multiplanar reformatted images and three-dimensional reformations by using a volume-rendering technique and looked for stent detectability, low-attenuation in-stent filling defects, and grades of restenosis. Conventional coronary angiographic results were interpreted by one of several observers in consensus for stent restenosis; they were blinded to coronary CT angiographic data. Statistical software and general estimating equations were used for data analysis.
RESULTS: One hundred ten stents were identified in 53 patients. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of coronary CT angiography in detection of in-stent restenosis were 96.9%, 88.0%, 77.5%, 98.5%, and 91%, respectively. Coronary CT angiography depicted in-stent low-attenuation filling defects with an accuracy of 91% and negative predictive value of 98.5% (95% confidence interval: 90.9, 99.9). Coronary CT angiography depicted the status of 97 of 107 stents. There was no significant difference between in-stent lumen visibility and stent diameter (P = .104). Coronary CT angiography helped diagnose 15 of 18 stent restenoses with less than 50% narrowing, five of five stent restenoses with 50%-74% narrowing, and nine of nine (100%) stent restenoses with 75% or greater narrowing or total occlusion of the stent lumen.
CONCLUSION: Coronary CT angiography can depict in-stent low-attenuation filling defects, which appear to be a reliable sign of stent restenosis, and 64-section CT depicts such defects with a high degree of accuracy.

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Year:  2007        PMID: 17890354     DOI: 10.1148/radiol.2452061389

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  14 in total

1.  Comparative analysis between 64- and 320-slice spiral computed tomography in the display of coronary artery stents and diagnosis of in-stent restenosis.

Authors:  Junyan Yue; Jie Chen; Wenguang Dou; Ying Hu; Qiang Li; Fengmei Zhou; Hongkai Cui; Qingwu Wu; Ruimin Yang
Journal:  Exp Ther Med       Date:  2015-09-23       Impact factor: 2.447

2.  Prospective ECG-triggered axial CT at 140-kV tube voltage improves coronary in-stent restenosis visibility at a lower radiation dose compared with conventional retrospective ECG-gated helical CT.

Authors:  Jun Horiguchi; Chikako Fujioka; Masao Kiguchi; Hideya Yamamoto; Toshiro Kitagawa; Shingo Kohno; Katsuhide Ito
Journal:  Eur Radiol       Date:  2009-05-09       Impact factor: 5.315

3.  In-stent area stenosis on 64-slice multi-detector computed tomography coronary angiography: optimal cutoff value for minimum lumen cross-sectional area of coronary stents compared with intravascular ultrasound.

Authors:  Woocheol Kwon; Jiyoun Choi; Jang-Young Kim; Seong-Yoon Kim; Junghan Yoon; Kyoung-Hoon Choe; Seung Hwan Lee; Sung Gyun Ahn
Journal:  Int J Cardiovasc Imaging       Date:  2012-05-06       Impact factor: 2.357

Review 4.  Transitioning from 16-slice to 64-slice multidetector computed tomography for the assessment of coronary artery disease: are we really making progress?

Authors:  Razi Khan; Sapna Rawal; Mark J Eisenberg
Journal:  Can J Cardiol       Date:  2009-09       Impact factor: 5.223

5.  Diagnostic performance of computed tomography angiography in the detection of coronary artery in-stent restenosis: evidence from an updated meta-analysis.

Authors:  Tao Dai; Jiang-Rong Wang; Peng-Fei Hu
Journal:  Eur Radiol       Date:  2017-11-09       Impact factor: 5.315

6.  Coronary artery stent imaging with 128-slice dual-source CT using high-pitch spiral acquisition in a cardiac phantom: comparison with the sequential and low-pitch spiral mode.

Authors:  Florian Wolf; Sebastian Leschka; Christian Loewe; Peter Homolka; Christina Plank; Ruediger Schernthaner; Dominik Bercaczy; Robert Goetti; Johannes Lammer; Guy Friedrich; Borut Marincek; Hatem Alkadhi; Gudrun Feuchtner
Journal:  Eur Radiol       Date:  2010-04-16       Impact factor: 5.315

7.  Adaptive statistical iterative reconstruction for volume-rendered computed tomography portovenography: improvement of image quality.

Authors:  Izuru Matsuda; Shohei Hanaoka; Masaaki Akahane; Jiro Sato; Shuuhei Komatsu; Shinichi Inoh; Shigeru Kiryu; Naoki Yoshioka; Kenji Ino; Kuni Ohtomo
Journal:  Jpn J Radiol       Date:  2010-11-27       Impact factor: 2.374

8.  High-definition computed tomography for coronary artery stents: image quality and radiation doses for low voltage (100 kVp) and standard voltage (120 kVp) ECG-triggered scanning.

Authors:  Ji Won Lee; Chang Won Kim; Han Cheol Lee; Ming-Ting Wu; Lee Hwangbo; Ki Seok Choo; June Hong Kim; Ki-Nam Lee; Jin You Kim; Yeon Joo Jeong
Journal:  Int J Cardiovasc Imaging       Date:  2015-05-29       Impact factor: 2.357

9.  Update on multidetector coronary CT angiography of coronary stents: in vitro evaluation of 29 different stent types with dual-source CT.

Authors:  David Maintz; Matthias C Burg; Harald Seifarth; Alexander C Bunck; Murat Ozgün; Roman Fischbach; Kai Uwe Jürgens; Walter Heindel
Journal:  Eur Radiol       Date:  2008-08-06       Impact factor: 5.315

10.  Computer-aided detection of endobronchial valves using volumetric CT.

Authors:  Robert A Ochs; Fereidoun Abtin; Raffi Ghurabi; Ajay Rao; Shama Ahmad; Matthew Brown; Jonathan G Goldin
Journal:  Acad Radiol       Date:  2009-02       Impact factor: 3.173

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