Virtual Imaging for Patient Information on Radiotherapy Planning and Delivery for Prostate Cancer

Martínez-Albaladejo, Miguel; Sulé-Suso, Josep; Lines, David; Bisson, James; Jassal, Simon; Edwards, Craig

Abstract

The provision of information on radiotherapy (RT) planning and delivery for patient with cancer is a vital issue in improving not only patients’ satisfaction but also patients’ compliance to treatment. In the present study, patients with prostate cancer receiving RT were randomised to have the provision of information on RT planning and delivery using Virtual Reality (VR) prior to RT or on the last day of RT. Bladder and rectal volumes and separations were measured prior to starting RT, weekly during RT and on the last day of RT. A quality of life questionnaire was completed prior to RT, halfway through RT, at the end of RT and at 3 and 6 months after RT in order to assess side effects. Bladder volumes decreased towards the end of RT but no differences were seen between patients in either cohort. The scores of the quality of life questionnaire showed only a statistical difference at 3 months after RT with lower scores (less intense side effects) for patients in Cohort 1. Although this study failed to show that provision of information to patients receiving RT using VR improves compliance, VT tools were very welcomed by patients as a means of providing information on RT planning and delivery. In the future, this study may provide cancer centres with an useful tool to audit local protocols regarding patient preparations and training for prostate RT.

Citation

Martínez-Albaladejo, M., Sulé-Suso, J., Lines, D., Bisson, J., Jassal, S., & Edwards, C. (2021). Virtual Imaging for Patient Information on Radiotherapy Planning and Delivery for Prostate Cancer. In Lecture Notes in Computer Science (125-139). Springer International Publishing. https://doi.org/10.1007/978-3-030-80432-9_10

• Online Publication Date: Jul 6, 2021
• Publication Date: 2021
• Deposit Date: Jun 2, 2023
• Pages: 125-139
• Book Title: Lecture Notes in Computer Science
• ISBN: 9783030804312; 9783030804329
• DOI: https://doi.org/10.1007/978-3-030-80432-9_10
• Additional Information: First Online: 6 July 2021; Conference Acronym: MIUA; Conference Name: Annual Conference on Medical Image Understanding and Analysis; Conference City: Oxford; Conference Country: United Kingdom; Conference Year: 2021; Conference Start Date: 12 July 2021; Conference End Date: 14 July 2021; Conference Number: 25; Conference ID: miua2021; Conference URL: https://miua2021.com/; Type: Double-blind; Conference Management System: CMT; Number of Submissions Sent for Review: 77; Number of Full Papers Accepted: 32; Number of Short Papers Accepted: 8; Acceptance Rate of Full Papers: 42% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.; Average Number of Reviews per Paper: 3,8; Average Number of Papers per Reviewer: 3,3; External Reviewers Involved: Yes