Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Head of Department of Computing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dawes:2018:10.1111/anae.14494,
author = {Dawes, T and Simoes, Monteiro de Marvao A and Shi, W and Rueckert, D and Cook, S and O'Regan, D},
doi = {10.1111/anae.14494},
journal = {Anaesthesia},
pages = {312--320},
title = {Identifying the optimal regional predictor of right ventricular global function: a high resolution 3D cardiac magnetic resonance study},
url = {http://dx.doi.org/10.1111/anae.14494},
volume = {74},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Right ventricular (RV) function has prognostic value in acute, chronic and perioperative disease, although the complex RV contractile pattern makes rapid assessment difficult. Several twodimensional (2D) regional measures estimate RV function, however the optimal measure is not known. Highresolution threedimensional (3D) cardiac magnetic resonance cine imaging was acquired in 300 healthy volunteers and a computational model of RV motion created. Points where regional function was significantly associated with global function were identified and a 2D, optimised singlepoint marker (SPMO) of global function developed. This marker was prospectively compared with tricuspid annular plane systolic excursion (TAPSE), septumfreewall displacement (SFD) and their fractional change (TAPSEF, SFDF) in a test cohort of 300 patients in the prediction of RV ejection fraction. RV ejection fraction was significantly associated with systolic function in a contiguous 7.3 cm2 patch of the basal RV freewall combining transverse (38%), longitudinal (35%) and circumferential (27%) contraction and coinciding with the fourchamber view. In the test cohort, all singlepoint surrogates correlated with RV ejection fraction (p < 0.010), but correlation (R) was higher for SPMO (R = 0.44, p < 0.001) than TAPSE (R = 0.24, p < 0.001) and SFD (R = 0.22, p < 0.001), and nonsignificantly higher than TAPSEF (R = 0.40, p < 0.001) and SFDF (R = 0.43, p < 0.001). SPMO explained more of the observed variance in RV ejection fraction (19%) and predicted it more accurately than any other 2D marker (median error 2.8 ml vs 3.6 ml, p < 0.001). We conclude that systolic motion of the basal RV freewall predicts global function more accurately than other 2D estimators. However, no markers summarise 3D contractile patterns, limiting their predictive accuracy.
AU - Dawes,T
AU - Simoes,Monteiro de Marvao A
AU - Shi,W
AU - Rueckert,D
AU - Cook,S
AU - O'Regan,D
DO - 10.1111/anae.14494
EP - 320
PY - 2018///
SN - 0003-2409
SP - 312
TI - Identifying the optimal regional predictor of right ventricular global function: a high resolution 3D cardiac magnetic resonance study
T2 - Anaesthesia
UR - http://dx.doi.org/10.1111/anae.14494
UR - http://hdl.handle.net/10044/1/65231
VL - 74
ER -