Please use this identifier to cite or link to this item: http://hdl.handle.net/11054/3006
Title: 3-dimensional model rendering and printing: Enhanced visualisation for a complex multi-compartment case (Poster).
Author: Carmichael, Gavin J.
Kefalianos, John
Kovoor, Joshua
Bookun, Riteesh
Stewart, Bruce T.
Johns-Putra, Lydia
Jacob, Mathew O.
Issue Date: 2025
Conference Name: 93rd RACS Annual Scientific Congress
Conference Date: May 3rd - 6th
Conference Place: Sydney, Australia
Abstract: Background: Complex surgical oncology demands meticulous preoperative planning, particularly in multi-specialty surgeries. Aligning surgical objectives such as intent, approach feasibility and trauma minimisation, is crucial. While MRI and CT are invaluable for planning, integrating the use of 3D modelling can enhance visualisation of patient-specific anatomy and pathology. Method: Using an MRI scan (Figure 1) of a 60-year old man with advanced bladder cancer invading the rectum, a 3D model (Figure 2) was generated using 3DSlicer software for segmentation and MeshLab for refinement. Structures, including the bladder, rectum and prostate, were manually contoured. The model was printed on a Bambu Lab A1 3D printer using PLA filament (Figure 3). Results: The 3D model provided detailed spatial understanding of anatomical relationships, improving preoperative planning and intraoperative execution. The surgical procedure, including cystoprostatectomy and Hartmann’s procedure, was successful, (Figure 4) with the 3D model providing guidance in the approach and enhancing collaboration among team members. Conclusion: Beyond visualisation, the model optimised surgical strategy by aiding in precise tumour delineation and enhancing interdisciplinary communication. Its educational utility aided trainees and students in understanding pelvic anatomy and surgical techniques. Limitations included time-intensive manual segmentation and reliance on high-resolution imaging. Addressing these limitations and adopting cost effective solutions could broaden 3D modelling adoption, particularly in regional centres. Future advancements, such as automated segmentation and augmented reality, could improve efficiency and enhance intraoperative applicability.
URI: http://hdl.handle.net/11054/3006
Internal ID Number: 03010
Health Subject: SURGICAL ONCOLOGY
PREOPERATIVE PLANNING
3D MODELLING
Type: Conference
Paper
Appears in Collections:Research Output

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