ArticleAnnals of biomedical engineering2026
A Patient-Specific Computational Model for Neonates and Infants with Borderline Left Ventricles.
Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Mathematical simulations of paediatric haemodynamics in isolated ventricular septal defect.Journal of the Royal Society, Interface · 2026Article
- Parameterized shape optimization of a bi-leaflet heart valved conduit for pediatric applications.Engineering with computers · 2026Article
- The Role of Serial Fetal Echocardiography in Postnatal Surgical Decision-Making for Borderline Left Ventricle: A Case Report.Pediatric reports · 2026Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
purposeBorderline 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.
methodsWe 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.
resultsIn patients who clinically received S1P (Group I, N = 5), a virtual BiVR predicted significantly elevated mean pulmonary artery pressure (PAP
conclusionA novel subject-specific computational modeling framework was developed to predict hemodynamics following virtual surgeries in BLV patients. The model predictions align with the clinically adopted procedure in this retrospectively selected cohort by predicting unacceptable PAP, LAP, and SVEDP. This predictive tool may guide surgeons in determining the hemodynamically optimal surgery for BLV infants, but it needs prospective validation on a larger cohort. CENTRAL MESSAGE: Patient-specific computational modeling can predict hemodynamics following virtual surgery in borderline left ventricles and may assist surgical decision-making. PERSPECTIVE: A critical dilemma pediatric heart surgeons and pediatric cardiologists face is choosing between biventricular repair and single-ventricle palliation in patients born with a borderline left ventricle. Computational modeling using lumped parameter networks predicts hemodynamics from virtual surgery simulations and may enable clinicians to decide on the hemodynamically optimal procedure.
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