1. Scoring model to predict low image quality of drug-eluting stent evaluated by computed tomography coronary angiography
- Author
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Tomoya Fukagawa, Masahiro Yamawaki, Masafumi Mizusawa, Takahide Nakano, Shigemitsu Shirai, Norihiro Kobayashi, Shinsuke Mori, Yoshiaki Ito, Masakazu Tsutsumi, Kenji Makino, Yoshihisa Fujino, Yohsuke Honda, and Toshihiko Kishida
- Subjects
medicine.medical_specialty ,medicine.diagnostic_test ,Computed Tomography Angiography ,business.industry ,medicine.medical_treatment ,Stent ,Drug-Eluting Stents ,Vascular surgery ,Coronary Angiography ,medicine.disease ,Logistic regression ,Coronary Restenosis ,Treatment Outcome ,Restenosis ,Drug-eluting stent ,Humans ,Medicine ,Cutoff ,Stents ,Derivation ,Cardiology and Cardiovascular Medicine ,business ,Nuclear medicine ,Computed tomography angiography - 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
- Published
- 2021