Literature DB >> 17881474

Dual source coronary computed tomography angiography for detecting in-stent restenosis.

F Pugliese1, A C Weustink, C Van Mieghem, F Alberghina, M Otsuka, W B Meijboom, N van Pelt, N R Mollet, F Cademartiri, G P Krestin, M G M Hunink, P J de Feyter.   

Abstract

OBJECTIVE: To evaluate the performance of dual source CT coronary angiography (DSCT-CA) in the detection of in-stent restenosis (>or=50% luminal narrowing) in symptomatic patients referred for conventional angiography (CA). DESIGN/ PATIENTS: 100 patients (78 males, age 62 (SD 10)) with chest pain were prospectively evaluated after coronary stenting. DSCT-CA was performed before CA.
SETTING: Many patients undergo coronary artery stenting; availability of a non-invasive modality to detect in-stent restenosis would be desirable.
RESULTS: Average heart rate (HR) was 67 (SD 12) (range 46-106) bpm. There were 178 stented lesions. The interval between stenting and inclusion in the study was 35 (SD 41) (range 3-140) months. 39/100 (39%) patients had angiographically proven restenosis. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of DSCT-CA, calculated in all stents, were 94%, 92%, 77% and 98%, respectively. Diagnostic performance at HR <70 bpm (n = 69; mean 58 bpm) was similar to that at HR >or=70 bpm (n = 31; mean 78 bpm); diagnostic performance in single stents (n = 95) was similar to that in overlapping stents and bifurcations (n = 83). In stents >or=3.5 mm (n = 78), sensitivity, specificity, PPV, NPV were 100%; in 3 mm stents (n = 59), sensitivity and NPV were 100%, specificity 97%, PPV 91%; in stents <or=2.75 mm (n = 41), sensitivity was 84%, specificity 64%, PPV 52%, NPV 90%. Nine stents <or=2.75 mm were uninterpretable. Specificity of DSCT-CA in stents >or=3.5 mm was significantly higher than in stents <or=2.75 mm (OR = 6.14; 99%CI: 1.52 to 9.79).
CONCLUSION: DSCT-CA performs well in the detection of in-stent restenosis. Although DSCT-CA leads to frequent false positive findings in smaller stents (<or=2.75 mm), it reliably rules out in-stent restenosis irrespective of stent size.

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Year:  2007        PMID: 17881474     DOI: 10.1136/hrt.2007.126474

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  29 in total

1.  Prevalence and prognosis of coronary stent gap detected by multi-detector CT: a follow-up study.

Authors:  Xinghua Zhang; Li Yang; Haiyue Ju; Fan Zhang; Jian Wu; Bin He; Yundai Chen
Journal:  Eur Radiol       Date:  2012-04-27       Impact factor: 5.315

2.  [Imaging of coronary stents using multislice computed tomography].

Authors:  H Seifarth; W Heindel; D Maintz
Journal:  Radiologe       Date:  2010-06       Impact factor: 0.635

3.  Impact of an advanced image-based monoenergetic reconstruction algorithm on coronary stent visualization using third generation dual-source dual-energy CT: a phantom study.

Authors:  Stefanie Mangold; Paola M Cannaó; U Joseph Schoepf; Julian L Wichmann; Christian Canstein; Stephen R Fuller; Giuseppe Muscogiuri; Akos Varga-Szemes; Konstantin Nikolaou; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2015-09-15       Impact factor: 5.315

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.  High diagnostic accuracy of prospective ECG-gating 64-slice computed tomography coronary angiography for the detection of in-stent restenosis: in-stent restenosis assessment by low-dose MDCT.

Authors:  Daniele Andreini; Gianluca Pontone; Antonio L Bartorelli; Saima Mushtaq; Daniela Trabattoni; Erika Bertella; Sarah Cortinovis; Andrea Annoni; Alberto Formenti; Giovanni Ballerini; Piergiuseppe Agostoni; Cesare Fiorentini; Mauro Pepi
Journal:  Eur Radiol       Date:  2011-02-18       Impact factor: 5.315

6.  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

7.  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

8.  Influence of cardiac motion on stent lumen visualization in third generation dual-source CT employing a pulsatile heart model.

Authors:  Nils Petri; Tobias Gassenmaier; Thomas Allmendinger; Thomas Flohr; Wolfram Voelker; Thorsten A Bley
Journal:  Br J Radiol       Date:  2016-11-29       Impact factor: 3.039

9.  CT vs SPECT: CT is the first-line test for the diagnosis and prognosis of stable coronary artery disease.

Authors:  Ahmed Aljizeeri; Myra S Cocker; Benjamin J W Chow
Journal:  J Nucl Cardiol       Date:  2013-06       Impact factor: 5.952

10.  Diagnostic accuracy of 64-slice computed tomography coronary angiography for the detection of in-stent restenosis: a meta-analysis.

Authors:  Nazario Carrabba; Joanne D Schuijf; Fleur R de Graaf; Guido Parodi; Erica Maffei; Renato Valenti; Alessandro Palumbo; Annick C Weustink; Nico R Mollet; Gabriele Accetta; Filippo Cademartiri; David Antoniucci; Jeroen J Bax
Journal:  J Nucl Cardiol       Date:  2010-04-09       Impact factor: 5.952

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