Scoring model to predict low image quality of drug-eluting stent evaluated by computed tomography coronary angiography View Full Text


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Article Info

DATE

2021-08-04

AUTHORS

Yohsuke Honda, Masahiro Yamawaki, Shinsuke Mori, Yoshihisa Fujino, Masakazu Tsutsumi, Kenji Makino, Shigemitsu Shirai, Masafumi Mizusawa, Takahide Nakano, Tomoya Fukagawa, Toshihiko Kishida, Norihiro Kobayashi, Yoshiaki Ito

ABSTRACT

Evaluation of in-stent restenosis (ISR) by computed tomography coronary angiography (CTCA) is less invasive but often impossible. We aimed to create a scoring model for predicting which drug-eluting stents (DES) cannot be evaluated with CTCA. We enrolled 757 consecutive implanted DES assessed with CTCA. Non-diagnostic evaluation was defined as poor/not evaluative by two different observers. These stents were randomly divided into a derivation (n = 379) and validation (n = 378) group. In the derivation group, we assessed predictors using logistic regression analysis and created a scoring model that would stratify non-diagnostic evaluation of DES-ISR. The validity of this scoring model was evaluated in the validation group using receiver-operating characteristic analysis. The percentage of non-diagnostic stents was 19/21% in the derivation/validation group (p = 0.71). Non-diagnostic evaluation was independently associated with implanted stent diameter (2.25–2.5. vs. 2.5–3 vs. > 3.0 mm), severe calcification, stent-in-stent lesion, and type of DES (stainless vs. CoCr vs. PtCr) in the derivation group. The predicting system of implanted DES non-diagnostic by CTCA (PIDENT) for non-diagnostic evaluation, including these four baseline factors, was derived (C-statistic = 0.86 in derivation group, cutoff: 8 points). The PIDENT score had a high predictive value for non-diagnostic DES in the validation model (C-statistic = 0.87, sensitivity 86%, specificity 74%, cutoff 8 points, p < 0.001). The PIDENT score, consisting of baseline characteristics including implanted stent diameter, severe calcification, stent-in-stent lesion, and type of DES, could identify non-diagnostic evaluation of DES-ISR with CTCA. The PIDENT score was valuable in reducing nonevaluable and meaningless CTCA for DES-ISR. More... »

PAGES

229-238

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00380-021-01918-8

    DOI

    http://dx.doi.org/10.1007/s00380-021-01918-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1140184643

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34347136


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