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Pulmonary blood volume measured by cardiovascular magnetic resonance : influence of pulmonary transit time methods and left atrial volume

Nelsson, Anders LU ; Kanski, Mikael LU ; Engblom, Henrik LU ; Ugander, Martin LU ; Carlsson, Marcus LU and Arheden, Håkan LU (2021) In Journal of Cardiovascular Magnetic Resonance 23(1).
Abstract

Background: Increased pulmonary blood volume (PBV) is a measure of congestion and is associated with an increased risk of cardiovascular events. PBV can be quantified using cardiovascular magnetic resonance (CMR) imaging as the product of cardiac output and pulmonary transit time (PTT), the latter measured from the contrast time-intensity curves in the right and left side of the heart from first-pass perfusion (FPP). Several methods of estimating PTT exist, including pulmonary transit beats (PTB), peak-to-peak, and center of gravity (CoG). The aim of this study was to determine the accuracy and precision for these methods of quantifying the PBV, taking the left atrium volume (LAV) into consideration. Methods: Fifty-eight participants... (More)

Background: Increased pulmonary blood volume (PBV) is a measure of congestion and is associated with an increased risk of cardiovascular events. PBV can be quantified using cardiovascular magnetic resonance (CMR) imaging as the product of cardiac output and pulmonary transit time (PTT), the latter measured from the contrast time-intensity curves in the right and left side of the heart from first-pass perfusion (FPP). Several methods of estimating PTT exist, including pulmonary transit beats (PTB), peak-to-peak, and center of gravity (CoG). The aim of this study was to determine the accuracy and precision for these methods of quantifying the PBV, taking the left atrium volume (LAV) into consideration. Methods: Fifty-eight participants (64 ± 11 years, 24 women) underwent 1.5 T CMR. PTT was quantified from (1) a basal left ventricular short-axis image (FPP), and (2) the reference method with a separate contrast administration using an image intersecting the pulmonary artery (PA) and the LA (CoG(PA-LA)). Results: Compared to the reference, PBV for (a) PTB(FPP) was 14 ± 17% larger, (b) peak-peak(FPP) was 17 ± 16% larger, and (c) CoG(FPP) was 18 ± 10% larger. Subtraction of the LAV (available for n = 50) decreased overall differences to − 1 ± 19%, 2 ± 18%, and 3 ± 12% for PTB(FPP), peak-peak(FPP), and CoG(FPP), respectively. Lowest interobserver variability was seen for CoG(FPP) (− 2 ± 7%). Conclusions: CoG(PA-LA) and FPP methods measured the same PBV only when adjusting for the LAV, since FPP inherently quantifies a volume consisting of PBV + LAV. CoG(FPP) had the best precision and lowest interobserver variability among the FPP methods of measuring PBV. Graphical abstract: [Figure not available: see fulltext.].

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Congestion, First-pass perfusion, Heart failure, Pulmonary blood volume, Pulmonary transit time
in
Journal of Cardiovascular Magnetic Resonance
volume
23
issue
1
article number
123
publisher
BioMed Central (BMC)
external identifiers
  • pmid:34706735
  • scopus:85117888872
ISSN
1097-6647
DOI
10.1186/s12968-021-00809-1
project
Non-invasive imaging in heart failure - early predictions and outcomes
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2021, The Author(s).
id
28dea9be-c1d2-4f2d-a7bf-73aef40059c2
date added to LUP
2021-11-22 12:55:54
date last changed
2024-04-20 17:14:35
@article{28dea9be-c1d2-4f2d-a7bf-73aef40059c2,
  abstract     = {{<p>Background: Increased pulmonary blood volume (PBV) is a measure of congestion and is associated with an increased risk of cardiovascular events. PBV can be quantified using cardiovascular magnetic resonance (CMR) imaging as the product of cardiac output and pulmonary transit time (PTT), the latter measured from the contrast time-intensity curves in the right and left side of the heart from first-pass perfusion (FPP). Several methods of estimating PTT exist, including pulmonary transit beats (PTB), peak-to-peak, and center of gravity (CoG). The aim of this study was to determine the accuracy and precision for these methods of quantifying the PBV, taking the left atrium volume (LAV) into consideration. Methods: Fifty-eight participants (64 ± 11 years, 24 women) underwent 1.5 T CMR. PTT was quantified from (1) a basal left ventricular short-axis image (FPP), and (2) the reference method with a separate contrast administration using an image intersecting the pulmonary artery (PA) and the LA (CoG(PA-LA)). Results: Compared to the reference, PBV for (a) PTB(FPP) was 14 ± 17% larger, (b) peak-peak(FPP) was 17 ± 16% larger, and (c) CoG(FPP) was 18 ± 10% larger. Subtraction of the LAV (available for n = 50) decreased overall differences to − 1 ± 19%, 2 ± 18%, and 3 ± 12% for PTB(FPP), peak-peak(FPP), and CoG(FPP), respectively. Lowest interobserver variability was seen for CoG(FPP) (− 2 ± 7%). Conclusions: CoG(PA-LA) and FPP methods measured the same PBV only when adjusting for the LAV, since FPP inherently quantifies a volume consisting of PBV + LAV. CoG(FPP) had the best precision and lowest interobserver variability among the FPP methods of measuring PBV. Graphical abstract: [Figure not available: see fulltext.].</p>}},
  author       = {{Nelsson, Anders and Kanski, Mikael and Engblom, Henrik and Ugander, Martin and Carlsson, Marcus and Arheden, Håkan}},
  issn         = {{1097-6647}},
  keywords     = {{Congestion; First-pass perfusion; Heart failure; Pulmonary blood volume; Pulmonary transit time}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BioMed Central (BMC)}},
  series       = {{Journal of Cardiovascular Magnetic Resonance}},
  title        = {{Pulmonary blood volume measured by cardiovascular magnetic resonance : influence of pulmonary transit time methods and left atrial volume}},
  url          = {{http://dx.doi.org/10.1186/s12968-021-00809-1}},
  doi          = {{10.1186/s12968-021-00809-1}},
  volume       = {{23}},
  year         = {{2021}},
}