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Reality Capture Using Light Detection and Ranging 3D Photography of Liver Grafts for Volumetric Assessment: A Proof-of-Concept Preliminary Study

K. E. Karakasi1, G. Katsanos2, I. Karolos3, V. Tsioukas3, G. Tsoulfas4

1University Transplantation Surgical Clinic, Heppocrateion General Hospital, Thessaloniki, Greece, 2Transplantation, Aristitle University of Thessaloniki, Thessaloniki, Greece, 3School of Runal and Surveying Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece, 4University Transplantation Surgical Clinic, Hippocrateion’ General Hospital of Thessaloniki, Thessaloniki, Greece

Meeting: 2022 American Transplant Congress

Abstract number: 1465

Keywords: Liver grafts, Liver transplantation, Methodology, Organ Selection/Allocation

Topic: Clinical Science » Liver » 62 - Liver: Large Data and Artificial Intelligence

Session Information

Session Name: Liver: Pediatrics

Session Type: Poster Abstract

Date: Monday, June 6, 2022

Session Time: 7:00pm-8:00pm

 Presentation Time: 7:00pm-8:00pm

Location: Hynes Halls C & D

*Purpose: Reality capture uses various technical means to capture a digital 3D model representation of a subject from the real world. Whole liver graft volume is easily estimated by simply weighing the graft during the back table procedure. However, partial liver graft volume is difficult to calculate, mainly when the donor was not submitted to a pre-procurement computed abdominal tomography. To perform LiDAR photography scanning of the liver grafts during the standard back table procedure for assessing the safety and accuracy of the technique in obtaining a 3D model and predicting the volume of the grafts. Volumetric data will be compared with the actual weight of the liver grafts.

*Methods: Liver grafts destined for transplantation were employed. These grafts are routinely examined and prepared for transplantation by the transplant team. During preparation, the grafts were weighted and photographed with a 3D scanning LiDAR camera module through an iPadOS scanner application. The final computation of the total volume of the liver grafts was calculated using the free, open-source 3D slicer image computing platform software. No technical issues were observed during the measurement procedure.

*Results: In this ongoing study, three measurements (weighting and LiDAR scanning) of liver grafts were compared using the student T-test due to the normally distributed data. There was no significant statistical difference between the two groups (P-value=0.99,α<0.05). R studio version 4.1.1 software was used to perform all the statistical analyses, employing the package “rstatix”.

*Conclusions: Preliminary findings show that LiDAR photography scanning is feasible and safe and can accurately predict the actual volume of whole liver grafts during the standard back table procedure. However, a larger sample is needed to corroborate those findings.

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To cite this abstract in AMA style:

Karakasi KE, Katsanos G, Karolos I, Tsioukas V, Tsoulfas G. Reality Capture Using Light Detection and Ranging 3D Photography of Liver Grafts for Volumetric Assessment: A Proof-of-Concept Preliminary Study [abstract]. Am J Transplant. 2022; 22 (suppl 3). https://atcmeetingabstracts.com/abstract/reality-capture-using-light-detection-and-ranging-3d-photography-of-liver-grafts-for-volumetric-assessment-a-proof-of-concept-preliminary-study/. Accessed May 18, 2025.

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