Literature DB >> 20404736

Diagnostic accuracy of 320-row multidetector computed tomography coronary angiography to noninvasively assess in-stent restenosis.

Fleur R de Graaf1, Joanne D Schuijf, Joëlla E van Velzen, Mark J Boogers, Lucia J Kroft, Albert de Roos, Johannes H C Reiber, Allard Sieders, Fabrizio Spanó, J Wouter Jukema, Martin J Schalij, Ernst E van der Wall, Jeroen J Bax.   

Abstract

OBJECTIVES: Percutaneous coronary intervention with stent implantation is routinely performed to treat patients with obstructive coronary artery disease. However, thus far, noninvasive assessment of in-stent restenosis has been challenging. Recently, 320-row multidetector computed tomography coronary angiography (CTA) was introduced, allowing volumetric image acquisition of the heart in a single heart beat or gantry rotation. The aim of this study was to evaluate the diagnostic performance of 320-row CTA in the evaluation of significant in-stent restenosis. Invasive coronary angiography (ICA) served as the standard of reference, using a quantitative approach.
MATERIALS AND METHODS: The population consisted of patients with previous coronary stent implantation who were clinically referred for cardiac evaluation because of recurrent chest pain and who underwent both CTA and ICA. CTA studies were performed using a 320-row CTA scanner with 320 detector-rows, each 0.5 mm wide, and a gantry rotation time of 350 milliseconds. Tube voltage and current were adapted to body mass index and thoracic anatomy. The entire heart was imaged in a single heart beat, with a maximum of 16-cm craniocaudal coverage. During the scan, the ECG was registered simultaneously for prospective triggering of the data. First, CTA stent image quality was assessed using a 3-point grading scale: (1) good image quality, (2) moderate image quality, and (3) poor image quality. Subsequently, the presence of in-stent restenosis was determined on a stent and patient basis by a blinded observer. Significant in-stent restenosis was defined as >or=50% luminal narrowing in the stent lumen or the presence of significant stent edge stenosis. Overlapping stents were considered to represent a single stent. Results were compared with ICA using quantitative coronary angiography. In addition, CTA stent image quality and diagnostic accuracy were related to stent characteristics and heart rate during CTA image acquisition.
RESULTS: The population consisted of 53 patients (37 men, mean age: 65 +/- 13 years) with a total of 89 stents available for evaluation. ICA identified 12 stents (13%) with significant in-stent restenosis. A total of 7 stents (8%) were of nondiagnostic CTA stent image quality, and were considered positive. Sensitivity, specificity, positive, and negative predictive values were 92%, 83%, 46%, and 98%, respectively on a stent basis. Five CTA studies (9%) were of nondiagnostic quality for the evaluation of in-stent restenosis and were considered positive. Sensitivity, specificity, positive, and negative predictive values were 100%, 81%, 58%, and 100%, respectively on a patient level. Stent diameter <3 mm as well as stent strut thickness >or=140 mum were associated with decreased CTA stent image quality and diagnostic accuracy. Heart rate during CTA acquisition and stent overlap were not associated with image degradation.
CONCLUSIONS: The present results show that 320-row CTA allows accurate noninvasive assessment of significant in-stent restenosis. However, stents with a large diameter and thin struts allowed better in-stent visualization than stents with a small diameter or thick struts. Consequently, noninvasive assessment of in-stent restenosis using CTA may be an attractive and feasible alternative particularly in carefully selected patients.

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Year:  2010        PMID: 20404736     DOI: 10.1097/RLI.0b013e3181dfa312

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  26 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.  Coronary in-stent restenosis: predisposing clinical and stent-related factors, diagnostic performance and analyses of inaccuracies in 320-row computed tomography angiography.

Authors:  Yung-Liang Wan; Pei-Kwei Tsay; Chun-Chi Chen; Yu-Hsiang Juan; Yu-Chieh Huang; Wen-Hui Chan; Ming-Shien Wen; I-Chang Hsieh
Journal:  Int J Cardiovasc Imaging       Date:  2016-04-22       Impact factor: 2.357

3.  Impact of sirolimus-eluting stent fractures without early cardiac events on long-term clinical outcomes: a multislice computed tomography study.

Authors:  Tsuyoshi Ito; Masashi Kimura; Mariko Ehara; Mitsuyasu Terashima; Kenya Nasu; Yoshihisa Kinoshita; Maoto Habara; Etsuo Tsuchikane; Takahiko Suzuki
Journal:  Eur Radiol       Date:  2014-02-25       Impact factor: 5.315

4.  Contrast agent bolus tracking with a fixed threshold or a manual fast start for coronary CT angiography.

Authors:  Fabian Stenzel; Matthias Rief; Elke Zimmermann; Johannes Greupner; Felicitas Richter; Marc Dewey
Journal:  Eur Radiol       Date:  2014-03-26       Impact factor: 5.315

5.  Automatic detection of aorto-femoral vessel trajectory from whole-body computed tomography angiography data sets.

Authors:  Xinpei Gao; Pieter H Kitslaar; Ricardo P J Budde; Shengxian Tu; Michiel A de Graaf; Liang Xu; Bo Xu; Arthur J H A Scholte; Jouke Dijkstra; Johan H C Reiber
Journal:  Int J Cardiovasc Imaging       Date:  2016-05-21       Impact factor: 2.357

6.  Diagnostic accuracy of in-stent restenosis using model-based iterative reconstruction at coronary CT angiography: initial experience.

Authors:  Fuminari Tatsugami; Toru Higaki; Hiroaki Sakane; Yuko Nakamura; Makoto Iida; Yasutaka Baba; Chikako Fujioka; Atsuhiro Senoo; Toshiro Kitagawa; Hideya Yamamoto; Yasuki Kihara; Kazuo Awai
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

7.  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

Review 8.  Influence of coronary calcification on the diagnostic accuracy of 64-slice computed tomography coronary angiography: a systematic review and meta-analysis.

Authors:  Jawdat Abdulla; Kasper S Pedersen; Matthew Budoff; Klaus F Kofoed
Journal:  Int J Cardiovasc Imaging       Date:  2011-06-12       Impact factor: 2.357

9.  The feasibility of 350 μm spatial resolution coronary magnetic resonance angiography at 3 T in humans.

Authors:  Ahmed M Gharib; Khaled Z Abd-Elmoniem; Vincent B Ho; Eszter Födi; Daniel A Herzka; Jacques Ohayon; Matthias Stuber; Roderic I Pettigrew
Journal:  Invest Radiol       Date:  2012-06       Impact factor: 6.016

10.  Prognostic value of dual-source multidetector computed tomography coronary angiography in patients with stent implantation.

Authors:  Hamza Sunman; Hikmet Yorgun; Uğur Canpolat; Ayşegül Ülgen Kunak; Muhammet Dural; Tuncay Hazırolan; Levent Sahiner; Ergün Barış Kaya; Kudret Aytemir; Lale Tokgözoğlu; Giray Kabakçı; Ali Oto
Journal:  Int J Cardiovasc Imaging       Date:  2013-05-12       Impact factor: 2.357

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