ArticlePediatric health, medicine and therapeutics2026
Application of Cardiac CTA Three-Dimensional Reconstruction Combined with 3D Printing Technology in the Diagnosis and Treatment of Congenital Heart Disease in Children.
Article in Pediatric health, medicine and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to evaluate the clinical value of cardiac computed tomography angiography (CTA)-based three-dimensional (3D) reconstruction combined with 3D printing technology in the diagnosis and interventional planning of congenital heart disease (CHD) in children. Methods: This retrospective comparative study included 30 pediatric patients with CHD who underwent interventional occlusion between January 2023 and March 2025. Fifteen patients underwent interventional occlusion guided by cardiac CTA-based 3D reconstruction combined with 3D printing technology and were assigned to the combined-technique group. Another 15 patients who underwent conventional interventional occlusion during the same period were included as the conventional group. Baseline characteristics, diagnostic accuracy, surgical planning time, operative time, intraoperative blood loss, postoperative recovery time, complications, residual shunt, X-ray exposure dose, and X-ray exposure time were compared between the two groups. The role of 3D-printed models in defect assessment and occluder planning was also evaluated. Results: The diagnostic accuracy was 80.0% (12/15) in the conventional group and 93.3% (14/15) in the combined-technique group. Although the combined technique showed a numerically higher diagnostic accuracy, the difference was not statistically significant. Compared with the conventional group, the combined-technique group had significantly shorter surgical planning time and operative time, as well as lower X-ray exposure dose and shorter X-ray exposure time. No significant differences were observed in intraoperative blood loss, postoperative recovery time, or postoperative complications between the two groups. The 3D-printed models provided additional information regarding defect morphology, surrounding rims, and spatial relationships with adjacent cardiac structures, and allowed preprocedural assessment of occluder seating and stability. Conclusion: Cardiac CTA-based 3D reconstruction combined with 3D printing may serve as a useful adjunct for preprocedural assessment and interventional planning in pediatric CHD. By improving visualization of defect morphology and supporting occluder simulation, this approach may help optimize device selection and improve procedural efficiency. However, its effects on postoperative recovery, complications, and long-term outcomes require further validation in larger prospective multicenter studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.