Automatic assessment of calcified plaque and nodule by optical coherence tomography adopting deep learning model

Author:

Chen Tao,Yu Huai,Jia Haibo,Dai Jiannan,Fang Chao,Ma Lijia,Liu Huimin,Xu Maoen,Yu Bo

Publisher

Springer Science and Business Media LLC

Reference19 articles.

1. Généreux P, Madhavan MV, Mintz GS, Maehara A, Palmerini T, Lasalle L, Xu K, McAndrew T, Kirtane A, Lansky AJ, Brener SJ, Mehran R, Stone GW (2014) Ischemic outcomes after coronary intervention of calcified vessels in acute coronary syndromes. Pooled analysis from the HORIZONS-AMI (Harmonizing Outcomes With Revascularization and Stents in Acute Myocardial Infarction) and ACUITY (Acute Catheterization and Urgent Intervention Triage Strategy) TRIALS. J Am Coll Cardiol 63(18):1845–1854. https://doi.org/10.1016/j.jacc.2014.01.034

2. Kobayashi Y, Okura H, Kume T, Yamada R, Kobayashi Y, Fukuhara K, Koyama T, Nezuo S, Neishi Y, Hayashida A, Kawamoto T, Yoshida K (2014) Impact of target lesion coronary calcification on stent expansion. Circulation 78(9):2209–2214. https://doi.org/10.1253/circj.cj-14-0108

3. Takebayashi H, Kobayashi Y, Mintz GS, Carlier SG, Fujii K, Yasuda T, Moussa I, Mehran R, Dangas GD, Collins MB, Kreps E, Lansky AJ, Stone GW, Leon MB, Moses JW (2005) Intravascular ultrasound assessment of lesions with target vessel failure after sirolimus-eluting stent implantation. Am J Cardiol 95(4):498–502. https://doi.org/10.1016/j.amjcard.2004.10.020

4. Virmani R, Burke AP, Farb A, Kolodgie FD (2006) Pathology of the vulnerable plaque. J Am Coll Cardiol 47(8 Suppl):C13–C18. https://doi.org/10.1016/j.jacc.2005.10.065

5. Fujino A, Mintz GS, Matsumura M, Lee T, Kim SY, Hoshino M, Usui E, Yonetsu T, Haag ES, Shlofmitz RA, Kakuta T, Maehara A (2018) A new optical coherence tomography-based calcium scoring system to predict stent underexpansion. EuroIntervention 13(18):e2182–e2189. https://doi.org/10.4244/EIJ-D-17-00962

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