Video Abstract
Eyal Mor, MD
Fellow
The Peter MacCallum Cancer Centre
Parkville, Victoria, Australia
Eyal Mor, MD
Fellow
The Peter MacCallum Cancer Centre
Parkville, Victoria, Australia
Hayden Snow, n/a
Consultant
Division of Cancer Surgery, Peter MacCallum Cancer Centre, United States
David Gyorki, n/a
Consultant
Division of Cancer Surgery, Peter MacCallum Cancer Centre
Melbourne, Victoria, United States
Retroperitoneal sarcomas (RPS) present a surgical challenge with complex anatomical relationships to organs and vascular structures. In this case study, we reconstructed the tumour bed of a retroperitoneal sarcoma and its ex vivo specimen.
Methods: Two patients underwent surgical resection of their retroperitoneal sarcoma at our center in 2023. Once the tumor resection is finished, a smartphone is utilized for capturing images of both the tumour bed and the resected specimen.
Images are imported into 3D reconstruction programs which use AI to reconstruct the model (Adobe Substance 3D, 2023 ver 2.1.1) and a 3D model is then created.
Results: Two patients were operated at our center: one patient with a right sided retroperitoneal liposarcoma that underwent a resection of the tumour, the right colon, kidney and psoas fascia and one with a left side retroperitoneal liposarcoma, that underwent a resection of the tumour , the left colon, kidney and partial psoas resection. After the resection was completed, a smartphone was used to create the 3D model. A total of 4 models were created, 2 models of tumour bed and 2 models of the ex vivo specimen. Fixed structures present in both the tumour bed and the resected specimen were labelled in both models to allow orientation. These included the ureteric stump, the divided peritoneal reflection and the divided renal pedicle.
Conclusions: This technology has great potential for use in education, surgical quality control and other applications in surgical oncology.