PMID- 29541674 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20201001 IS - 2352-3409 (Print) IS - 2352-3409 (Electronic) IS - 2352-3409 (Linking) VI - 16 DP - 2018 Feb TI - Data on diagnostic performance of stress perfusion cardiac magnetic resonance for coronary artery disease detection at the vessel level. PG - 869-875 LID - 10.1016/j.dib.2017.11.096 [doi] AB - Stress perfusion cardiac magnetic resonance (CMR) has been proposed as an important gatekeeper for invasive coronary angiography (ICA) and percutaneous coronary interventions (PCI) in patients evaluated for possible coronary artery disease (CAD) (Fihn et al., 2012; Montalescot et al., 2013) [1], [2]. Several meta-analyses have evaluated the accuracy of stress perfusion CMR to diagnose CAD at the vessel level (Danad et al., 2017; Dai et al., 2016; Jiang et al., 2016; Takx et al., 2015; Li et al., 2015; Desai and Jha, 2013; Jaarsma et al. 2012; Hamon et al., 2010; Nandalur et al. 2007) [3], [4], [5], [6], [7], [8], [9], [10], [11]. However, they included in the same analysis studies with different definitions of significant CAD (i.e. fractional flow reserve [FFR] < 0.75 and < 0.80 or coronary stenosis >/= 50% and >/= 70%), magnetic field strength (1.5 or 3 Tesla [T]), and study protocol (integration or not of late gadolinium enhancement [LGE] into stress perfusion protocol). Data of 34 studies (6091 arteries) have been pooled with the aim of analyzing the accuracy of stress perfusion CMR for the diagnosis of ischemic heart disease at the vessel level according to different definitions of significant CAD, magnetic field strength and study protocol (Arnold et al., 2010; Bettencourt et al., 2013; Cheng et al., 2007; Chiribiri et al., 2013; Cury et al., 2006; De Mello et al., 2012; Donati et al., 2010; Ebersberger et al., 2013; Gebker et al., 2008; Greulich et al., 2015; Hussain et al., 2016; Ishida et al., 2005, 2003; Kamiya et al., 2014; Kitagawa et al., 2008; Klein et al., 2008; Klem et al., 2006; Klumpp et al., 2010; Krittayaphong et al., 2009; Lockie et al., 2011; Ma et al., 2012; Merkle et al., 2007; Meyer et al., 2008; Mor-Avi et al., 2008; Pan et al., 2015; Papanastasiou et al., 2016; Pons Llado et al., 2004; Sakuma et al., 2005; Salerno et al., 2014; Scheffel et al., 2010; van Werkhoven et al., 2010; Walcher et al., 2013; Watkins et al., 2009; Yun et al., 2015) [12-45]. This article describes data related article titled "Diagnostic Performance of Stress Perfusion Cardiac Magnetic Resonance for the Detection of Coronary Artery Disease" (Kiaos et al., submitted for publication) [46]. FAU - Kiaos, Apostolos AU - Kiaos A AD - 1st Department of Cardiology, Aristotle University of Thessaloniki, Thessaloniki, Greece. FAU - Tziatzios, Ioannis AU - Tziatzios I AD - 1st Department of Cardiology, Aristotle University of Thessaloniki, Thessaloniki, Greece. FAU - Hadjimiltiades, Stavros AU - Hadjimiltiades S AD - 1st Department of Cardiology, Aristotle University of Thessaloniki, Thessaloniki, Greece. FAU - Karvounis, Charalambos AU - Karvounis C AD - 1st Department of Cardiology, Aristotle University of Thessaloniki, Thessaloniki, Greece. FAU - Karamitsos, Theodoros D AU - Karamitsos TD AD - 1st Department of Cardiology, Aristotle University of Thessaloniki, Thessaloniki, Greece. LA - eng PT - Journal Article DEP - 20171207 PL - Netherlands TA - Data Brief JT - Data in brief JID - 101654995 PMC - PMC5847623 OTO - NOTNLM OT - Cardiovascular magnetic resonance OT - Coronary artery disease OT - Diagnostic accuracy meta-analysis OT - Stress perfusion EDAT- 2018/03/16 06:00 MHDA- 2018/03/16 06:01 PMCR- 2017/12/07 CRDT- 2018/03/16 06:00 PHST- 2017/11/21 00:00 [received] PHST- 2017/11/30 00:00 [accepted] PHST- 2018/03/16 06:00 [entrez] PHST- 2018/03/16 06:00 [pubmed] PHST- 2018/03/16 06:01 [medline] PHST- 2017/12/07 00:00 [pmc-release] AID - S2352-3409(17)30692-3 [pii] AID - 10.1016/j.dib.2017.11.096 [doi] PST - epublish SO - Data Brief. 2017 Dec 7;16:869-875. doi: 10.1016/j.dib.2017.11.096. eCollection 2018 Feb.