Building Coronary Lesion-Specific Predictive Models Using the Proper Prognostic Parameters: A Look Into the Computational Hemodynamics of the Matter

Journal article

Andreas A. Giannopoulos and Ioannis S Chatzizisis

JACC.Cardiovascular imaging, Vol.11(9)

2018

Abstract

Acute Coronary Syndrome

Humans

Prognosis

Angiography

Hemodynamics

Hydrodynamics

3 Record Views

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics: 1 Clinical & Life Sciences; 1.105 Strokes; 1.105.1645 Wall Shear Stress
Web Of Science research areas: Cardiac & Cardiovascular Systems; Radiology, Nuclear Medicine & Medical Imaging
ESI research areas: Clinical Medicine

This output has contributed to the advancement of the following goals:

Source: InCites

Title: Building Coronary Lesion-Specific Predictive Models Using the Proper Prognostic Parameters: A Look Into the Computational Hemodynamics of the Matter
Creators: Andreas A. Giannopoulos
Ioannis S Chatzizisis - Miller School of Medicine
Publication Details: JACC.Cardiovascular imaging, Vol.11(9)
Comment: LR: 20190930; LID: S1936-878X(18)30554-0 [pii]; JID: 101467978; CON: JACC Cardiovasc Imaging. 2019 Jun;12(6):1032-1043. PMID: 29550316; CIN: JACC Cardiovasc Imaging. 2018 Sep;11(9):1372-1373. PMID: 30190035; 2018/05/16 00:00 [received]; 2018/06/25 00:00 [revised]; 2018/06/26 00:00 [accepted]; 2018/09/08 06:00 [entrez]; 2018/09/08 06:00 [pubmed]; 2019/10/01 06:00 [medline]; AID: S1936-878X(18)30554-0 [pii]; ppublish
ISBN: 1876-7591; 1876-7591
Academic Unit: Miller School of Medicine; UMMG Dept of Medicine - Cardiovascular
Language: English
Resource Type: Journal article
Record Identifier: 991032031114602976