3-Dimensional Documentation and Visualisation of Resection Specimen and Histopathology in Oral Maxillofacial Oncologic Surgery

Master Thesis (2024)
Author(s)

J.W. Verburg (TU Delft - Mechanical Engineering)

Contributor(s)

Eric Dik – Mentor (Radboud University Medical Center)

R.P.J. van den Ende – Graduation committee member (TU Delft - Biomechanical Engineering)

Jeroen van Rijssel – Coach (Radboud University Medical Center)

Brend P. Jonker – Coach (Erasmus MC)

Faculty
Mechanical Engineering
More Info
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Publication Year
2024
Language
English
Graduation Date
11-06-2024
Awarding Institution
Delft University of Technology
Project
TM30004
Programme
Technical Medicine
Faculty
Mechanical Engineering
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Abstract

Introduction: In this research 3D models of oral maxillofacial (OMF) oncologic surgery specimens were created and registered onto preoperative CTs in their correct anatomical position. Histopathology information regarding gross section slices and margin status was included to create a comprehensive 3D model. This model was subsequently evaluated on the radiotherapy department for potential use in assisting with radiotherapy treatment planning. As part of this research, several 3D scanners were evaluated to determine which was most suited for human tissue scanning.
Results: Visual inclusion of histopathology information into a 3D model of an oncologic OMF specimen was achieved. Radiotherapy team deemd it a valuable addition in radiation treatment planning. The EinScan SP was evaluated as the most suitable 3D scanner for the purpose of human tissue scanning based on literature and testing against three other 3D scanners,

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