RT Journal Article
SR Electronic
T1 Computed tomographic myocardial mass compared with invasive myocardial perfusion measurement
JF Heart
JO Heart
FD BMJ Publishing Group Ltd and British Cardiovascular Society
SP 1489
OP 1494
DO 10.1136/heartjnl-2020-316689
VO 106
IS 19
A1 Daniëlle C J Keulards
A1 Stephane Fournier
A1 Marcel van 't Veer
A1 Iginio Colaiori
A1 Jo M Zelis
A1 Mohamed El Farissi
A1 Frederik M Zimmermann
A1 Carlos Collet
A1 Bernard De Bruyne
A1 Nico H J Pijls
YR 2020
UL http://heart.bmj.com/content/106/19/1489.abstract
AB Objective The prognostic importance of a coronary stenosis depends on its functional severity and its depending myocardial mass. Functional severity can be assessed by fractional flow reserve (FFR), estimated non-invasively by a specific validated CT algorithm (FFRCT). Calculation of myocardial mass at risk by that same set of CT data (CTmass), however, has not been prospectively validated so far. The aim of the present study was to compare relative territorial-based CTmass assessment with relative flow distribution, which is closely linked to true myocardial mass.Methods In this exploratory study, 35 patients with (near) normal coronary arteries underwent CT scanning for computed flow-based CTmass assessment and underwent invasive myocardial perfusion measurement in all 3 major coronary arteries by continuous thermodilution. Next, the mass and flows were calculated as relative percentages of total mass and perfusion.Results The mean difference between CTmass per territory and invasively measured myocardial perfusion, both expressed as percentage of total mass and perfusion, was 5.3±6.2% for the left anterior descending territory, −2.0±7.4% for the left circumflex territory and −3.2±3.4% for the right coronary artery territory. The intraclass correlation between the two techniques was 0.90.Conclusions Our study shows a close relationship between the relative mass of the perfusion territory calculated by the specific CT algorithm and invasively measured myocardial perfusion. As such, these data support the use of CTmass to estimate territorial myocardium-at-risk in proximal coronary arteries.