Cited 1 time in webofscience Cited 0 time in scopus

Can Augmented Reality Be Helpful in Pelvic Bone Cancer Surgery? An In Vitro Study

Title
Can Augmented Reality Be Helpful in Pelvic Bone Cancer Surgery? An In Vitro Study
Authors
Cho, Hwan SeongPark, Min SukGupta, SanjayHan, IlkyuKim, Han-SooChoi, HyunseokHong, Jaesung
DGIST Authors
Hong, Jaesung
Issue Date
2018-09
Citation
Clinical Orthopaedics and Related Research, 476(9), 1719-1725
Type
Article
Article Type
Article; Proceedings Paper
ISSN
0009-921X
Abstract
Background Application of surgical navigation for pelvic bone cancer surgery may prove useful, but in addition to the fact that research supporting its adoption remains relatively preliminary, the actual navigation devices are physically large, occupying considerable space in already crowded operating rooms. To address this issue, we developed and tested a navigation system for pelvic bone cancer surgery assimilating augmented reality (AR) technology to simplify the system by embedding the navigation software into a tablet personal computer (PC). Questions/purposes Using simulated tumors and resections in a pig pelvic model, we asked: Can AR-assisted resection reduce errors in terms of planned bone cuts and improve ability to achieve the planned margin around a tumor in pelvic bone cancer surgery? Methods We developed an AR-based navigation systemfor pelvic bone tumor surgery, which could be operated on a tablet PC. We created 36 bone tumormodels for simulation of tumor resection in pig pelves and assigned 18 each to the AR-assisted resection group and conventional resection group. To simulate a bone tumor, bone cement was inserted into the acetabular dome of the pig pelvis. Tumor resection was simulated in two scenarios. The first was AR-assisted resection by an orthopaedic resident and the second was resection using conventional methods by an orthopaedic oncologist. For both groups, resection was plannedwith a 1-cm safety margin around the bone cement. Resection margins were evaluated by an independent orthopaedic surgeon who was blinded as to the type of resection. All specimens were sectioned twice: first through a plane parallel to the medial wall of the acetabulum and second through a plane perpendicular to the first. The distance from the resection margin to the bone cement was measured at four different locations for each plane. The largest of the four errors on a plane was adopted for evaluation. Therefore, each specimen had two values of error, which were collected from two perpendicular planes. The resection errors were classified into four grades: <= 3 mm; 3 to 6 mm; 6 to 9 mm; and > 9 mm or any tumor violation. Student's t-test was used for statistical comparison of the mean resection errors of the two groups. Results The mean of 36 resection errors of 18 pelves in the AR-assisted resection group was 1.59 mm (SD, 4.13 mm; 95% confidence interval [CI], 0.24-2.94 mm) and the mean error of the conventional resection group was 4.55 mm (SD, 9.7 mm; 95% CI, 1.38-7.72 mm; p < 0.001). All specimens in the AR-assisted resection group had errors < 6 mm, whereas 78% (28 of 36) of errors in the conventional group were < 6 mm. Conclusions In this in vitro simulated tumor model, we demonstrated that AR assistance could help to achieve the planned margin. Our model was designed as a proof of concept; although our findings do not justify a clinical trial in humans, they do support continued investigation of this system in a live animalmodel, which will be our next experiment.
URI
http://hdl.handle.net/20.500.11750/9486
DOI
10.1007/s11999.0000000000000233
Publisher
Lippincott Williams & Wilkins Ltd.
Related Researcher
  • Author Hong, Jaesung Surgical Robotics Lab
  • Research Interests Surgical Navigation; Surgical Robot; Medical Imaging; 영상유도수술로봇; 수술네비게이션
Files:
There are no files associated with this item.
Collection:
Department of Robotics EngineeringSurgical Robotics Lab1. Journal Articles


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE