ArticleComputational and structural biotechnology journal2025
The potential of Real-Time rendered-volume 3D Imaging in immersive virtual-reality (VR) for surgical planning in infants with congenital thoracic malformation (CTM).
Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Instrumentation Digital Twins in PET and SPECT Imaging: Current Status, Challenges, and Future Directions.Computational and structural biotechnology journal · 2026Review
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: CTM are difficult to evaluate preoperatively due to the limitations of low-dose computed tomography imaging in infants. Digital twin technologies, such as immersive VR, offer interactive, patient-specific simulations that replicate anatomical and pathological features in three dimensions. This study investigates the role of VR-based 3D imaging as a digital twin for precision surgical planning in infants with CTM. Methods: Fourteen infants who underwent surgical resection for suspected CTM between 09/2020 and 02/2023 were retrospectively analyzed. Pseudonymized CT scans were reconstructed into interactive VR models, serving as digital anatomical twins. Eight surgeons assessed each case using both conventional 2D CT and VR-based reconstructions, separated by a three-month washout period. Outcomes included diagnostic accuracy, and evaluation times. Results: Both VR and conventional imaging achieved 100 % sensitivity in pathology detection. VR enhanced spatial understanding, identifying multilobar involvement (29 % vs. 21 %) and mediastinal shift (36 % vs. 29 %) more frequently. Surgical planning differed significantly, with VR prompting more lobectomy recommendations (57 % vs. 50 %, p = 0.046). VR required longer evaluation times (203.2 ± 117.4 s vs. 124.1 ± 69.7 s, p < 0.001) but demonstrated higher prediction accuracy for the surgical procedure (95 % vs. 84 %). Conclusion: Patient-specific VR reconstructions act as digital twins, enhancing surgical planning precision and providing a personalized anatomical roadmap for CTM management. While time demands remain a limitation, VR as a digital twin aligns with precision medicine and smart hospital paradigms. It also supports less experienced surgeons and fosters interdisciplinary collaboration. Larger multicenter studies should explore its integration into perioperative decision-making and training.
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