Egidijus Pelanis1,2, Rahul P Kumar1, Davit L Aghayan1,2,3, Rafael Palomar1,4, Åsmund A Fretland1,2,5, Henrik Brun1,6, Ole Jakob Elle1,7, Bjørn Edwin1,2,5. 1. The Intervention Centre, Oslo University Hospital, Oslo, Norway. 2. Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. 3. Department of Surgery N1, Yerevan State Medical University after M.Heratsi, Yerevan, Armenia. 4. Department of Computer Science, NTNU, Gjøvik, Norway. 5. Department of HPB Surgery, Norway University Hospital - Rikshospitalet, Oslo, Norway. 6. Clinic for Pediatric Cardiology, Norway University Hospital - Rikshospitalet, Oslo, Norway. 7. Department of Informatics, The Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
Abstract
Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, especially for parenchyma-sparing hepatectomies. Though medical images are commonly visualized in two dimensions (2D), surgeons need to mentally reconstruct this information in three dimensions (3D) for a spatial understanding of the anatomy. The aim of this work is to investigate whether the use of a 3D model visualized in mixed reality with Microsoft HoloLens increases the spatial understanding of the liver, compared to the conventional way of using 2D images.Material and methods: In this study, clinicians had to identify liver segments associated to lesions. Results: Twenty-eight clinicians with varying medical experience were recruited for the study. From a total of 150 lesions, 89 were correctly assigned without significant difference between the modalities. The median time for correct identification was 23.5 [4-138] s using the magnetic resonance imaging images and 6.00 [1-35] s using HoloLens (p < 0.001).Conclusions: The use of 3D liver models in mixed reality significantly decreases the time for tasks requiring a spatial understanding of the organ. This may significantly decrease operating time and improve use of resources.
Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, especially for parenchyma-sparing hepatectomies. Though medical images are commonly visualized in two dimensions (2D), surgeons need to mentally reconstruct this information in three dimensions (3D) for a spatial understanding of the anatomy. The aim of this work is to investigate whether the use of a 3D model visualized in mixed reality with Microsoft HoloLens increases the spatial understanding of the liver, compared to the conventional way of using 2D images.Material and methods: In this study, clinicians had to identify liver segments associated to lesions. Results: Twenty-eight clinicians with varying medical experience were recruited for the study. From a total of 150 lesions, 89 were correctly assigned without significant difference between the modalities. The median time for correct identification was 23.5 [4-138] s using the magnetic resonance imaging images and 6.00 [1-35] s using HoloLens (p < 0.001).Conclusions: The use of 3D liver models in mixed reality significantly decreases the time for tasks requiring a spatial understanding of the organ. This may significantly decrease operating time and improve use of resources.
Keywords:
3D model; Liver surgery; mixed reality; parenchyma sparing; segmentation
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