Discrimination of sustained VT in structural heart disease using LGE-CMR and computational simulation: moving beyond LVEF - Summary - MDSpire

Discrimination of sustained VT in structural heart disease using LGE-CMR and computational simulation: moving beyond LVEF

  • By

  • Kun Zuo

  • Kuibao Li

  • Lucheng Xu

  • Yiming Wang

  • Shiwei Lu

  • Zhaokai Kong

  • Zhenyin Fu

  • Jianjun Zhang

  • Ruiqing Dong

  • Ling Xia

  • Dongdong Deng

  • Zheng Liu

  • July 7, 2026

  • 0 min

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Objective:

To develop an exploratory model integrating late gadolinium enhancement cardiac magnetic resonance (LGE-CMR) scar characteristics with computational VT simulation to discriminate sustained VT, compared against LVEF.

Approach:
  • Study Design: Single-centre retrospective study enrolling patients with suspected structural heart disease (SHD) who underwent LGE-CMR.
  • Patient Analysis: Patients with LGE-positive underwent quantitative scar analysis, personalized digital heart-twin reconstruction, and virtual electrophysiological simulation.
Key Findings:
  • Among82patients(meanage59.1years;82.9%male),15experiencedsustainedVT.LowerLVEFwasassociatedwithsustainedVT(P=0.008;C-statistic:0.730),aswasvisualLGEpositivity(P=0.023;C-statistic:0.634).AmongLGE-positivepatients,thosewithsustainedVThadalargercorescar[10.0[5.9,14.8]%vs.2.2[1.1,4.7]%;P<0.001],largergreyzone[14.0[10.9,14.7]%vs.5.7[2.3,9.2]%;P<0.001],higherVTinducibility[50.0[22.9,66.9]%vs.0(0,21.1)%;P<0.001],andagreaternumberofinducibleVTcircuits[2[2,4]vs.0[0,2];P<0.001].AnintegratedLGE-VTsimindex,derivedfromthesefourparameters,effectivelydiscriminatedsustainedVT(C-statistic:0.816)andremainedindependentlyassociatedwithsustainedVTafteradjustingforLVEF(OR:1.029;95%CI:1.008–1.051;P=0.007).
Interpretation:

The LGE-VTsim index represents an exploratory parameter in identifying patients at risk of sustained VT in SHD, beyond LVEF.

Limitations:
  • Single-centre study may limit generalizability.
  • Retrospective design may introduce bias.
Conclusion:

The study indicates that integrating quantitative LGE-CMR scar assessment with computational simulation may provide insights into risk stratification for sustained VT in patients with SHD.

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