A Patient-specific Computational Model for Neonates and Infants with Borderline Left Ventricles.

ABSTRACT:

Purpose

Borderline left ventricle (BLV) presents a dilemma between pursuing a biventricular repair (BiVR) and a Stage 1 palliation (S1P) because a discordant pursuit of BiVR increases mortality risk. We aim to develop and validate a personalized computational model to assist surgical decision-making by predicting virtual surgery hemodynamics in BLV patients.

Methods

We developed a novel multi-block lumped parameter network (LPN) model of a BLV circulatory system. Patient-specific model parameters were estimated using a semi-automatic tuning framework to fit clinical data in ten retrospectively identified BLV patients. Virtual surgeries (BiVR and S1P) were performed on each patient to quantify post-operative hemodynamics.

Results

In patients who clinically received S1P

SUBMITTER: Chen Y 

PROVIDER: S-EPMC12338937 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature