Immersive Three-Dimensional Visualization as a Routine Tool for Complex Congenital Cardiac Surgical Planning: A Perspective

Complex congenital cardiac surgery demands precise three-dimensional (3D) spatial understanding, yet preoperative planning continues to rely predominantly on two-dimensional (2D) image interpretation. Contemporary cardiac computed tomography (CT) and magnetic resonance imaging (MRI) are volumetric by design, but their value is constrained by how data are ultimately converted into shared spatial understanding. The growing availability of CT-based segmentation, virtual reality (VR) visualization, and three-dimensional printing offers a practical means to externalize patient-specific anatomy into manipulable, immersive representations. Current evidence, though modest and largely single-centre, consistently shows that 3D models can faithfully represent complex anatomy and that clinicians repeatedly report improved comprehension of spatial relationships through their use. In this perspective, we argue for a deliberate, case-selected approach to 3D image visualization in complex congenital cardiac surgery, identify the human and institutional factors that determine real-world utility beyond hardware and software alone, and propose criteria for systematic adoption. Prospective outcome data are needed; in their absence, thoughtful incorporation of these tools into surgical planning workflows represents a clinically rational approach.

Authors

Institutions

Publication Details

Journal
Pediatric Cardiology
Published
2026-06-24
DOI
https://doi.org/10.1007/s00246-026-04337-6
Primary Topic
Anatomy and Medical Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Immersive Three-Dimensional Visualization as a Routine Tool for Complex Congenital Cardiac Surgical Planning: A Perspective

Madhusudan Ganigara, Narutoshi Hibino, Prashant Nagpal, Waseem Cossor
Pediatric Cardiology
Anatomy and Medical Technology
article

Immersive Three-Dimensional Visualization as a Routine Tool for Complex Congenital Cardiac Surgical Planning: A Perspective

Madhusudan Ganigara, Narutoshi Hibino, Prashant Nagpal, Waseem Cossor
article en

Abstract

Complex congenital cardiac surgery demands precise three-dimensional (3D) spatial understanding, yet preoperative planning continues to rely predominantly on two-dimensional (2D) image interpretation. Contemporary cardiac computed tomography (CT) and magnetic resonance imaging (MRI) are volumetric by design, but their value is constrained by how data are ultimately converted into shared spatial understanding. The growing availability of CT-based segmentation, virtual reality (VR) visualization, and three-dimensional printing offers a practical means to externalize patient-specific anatomy into manipulable, immersive representations. Current evidence, though modest and largely single-centre, consistently shows that 3D models can faithfully represent complex anatomy and that clinicians repeatedly report improved comprehension of spatial relationships through their use. In this perspective, we argue for a deliberate, case-selected approach to 3D image visualization in complex congenital cardiac surgery, identify the human and institutional factors that determine real-world utility beyond hardware and software alone, and propose criteria for systematic adoption. Prospective outcome data are needed; in their absence, thoughtful incorporation of these tools into surgical planning workflows represents a clinically rational approach.

Pediatric Cardiology
University of Wisconsin–Madison (US), University of Chicago (US), Advocate Children's Hospital (US)
Openalex Percentile: Top 12%
Anatomy and Medical Technology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.