Fimh revealing differences

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REVEALING DIFFERENCES IN ANATOMICAL REMODELLING OF THE SYSTEMIC RIGHT VENTRICLE E.ZACUR 1 , J.WONG 2 , R.RAZAVI 2 , T.GEVA 3 , G.GREIL 2 , P.LAMATA 1 1 DEPT. BIOMEDICAL ENGINEERING, KINGS COLLEGE LONDON, UK 2 DIV. IMAGING SCIENCES, KINGS COLLEGE LONDON, LONDON, UK 3 BOSTON CHILDREN’S HOSPITAL, HARVARD MEDICAL SCHOOL, USA

Transcript of Fimh revealing differences

Improving the stratification power of cardiac ventricular shape

Revealing differences in anatomical remodelling of the systemic right ventricle

E.Zacur1, J.Wong2, R.Razavi2, T.Geva3, G.Greil2, P.Lamata1

1 Dept. Biomedical Engineering, Kings College London, UK2 Div. Imaging Sciences, Kings College London, London, UK3 Boston Childrens Hospital, Harvard Medical School, USA

Take home messagesModels to reveal biomarkers

Shape biomarkerModel: smooth ellipsoidUnveil differences in development

OverviewHLHS: the clinical problem and hypothesis

Coping with data

Revealing growth differences

How good is the picture?

HLHS

Hypoplastic Left Heart Syndrome (I)

4 in 10.000 births

Hypoplastic Left Heart Syndrome (II)Challenges:Complex surgery - different schoolsSmall numbers many factorsOpportunity: huge impact for life

Shunts: two schools

modified Blalock-Taussig (MBT)right ventricle-to-pulmonary artery (RVPA)

Impact of shunt choice?Outcome (transplantation free) [1]:Early outcome: RVPA betterMid outcome (32 months): equal

Hypothesis: scar in RVPA introduces an adverse remodelling (growth) and impaired RV function as compared to MBT.[1] Frommelt et al (2014). "Impact of initial shunt type on cardiac size and function in children with single right ventricle anomalies before the Fontan procedure: the Single Ventricle Reconstruction Extension Trial", JACC 64(19):2026-2035.

Computational Anatomy is able to reveal differences in RV growth caused by a choice of shunt technique.

clinicalDataModel fittingPrincipal Component Analysis

Model: ellipsoidMinimise acquisition / segmentation artefacts

Mesh personalization[2] Lamata P et al (2011), An accurate, fast and robust method to generate patient-specific cubic Hermite meshes. Med Image Anal. 15(6):801-13[3] Lamata P et al (2014), An automatic service for the personalization of ventricular cardiac meshes. J R Soc Interface. 11(91):20131023.

Common shape changes?Shape variation due to:Errors, artefactsPhysiological causesDecompose shape in orthogonal componentsReduce dimensionalityGet the salient modes

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Revealing growth differences

Mean

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Mode 1

Modes 2, 3, 4

RVPA shunt

MBT shunt

Mode 1

Stage I (all) vs MBT

Stage I (all) vs RVPA

How good is the picture?

Better than traditionalDifferences never revealed beforeRisk: black boxMitigation plan: map of regional changes

Function correlates with shape (remodelling) Impaired contraction in RVPA [4]

[4] Wong et al (2015). "Using cardiac magnetic resonance and computational modelling to assess the systemic right ventricle following different Norwood procedures: a dual centre study", J Card Mag Res, 17(Suppl 1):M12.

Still a blurry pictureData issues: short axis stack, etcProcessing issues. Fitting error / LV length = 1.43/78 mmAdult LV: 1.28/95 mm

Take home messagesModels to reveal biomarkers

Shape biomarkerModel: smooth ellipsoidUnveil differences in development

Acknowledgements