Diagnostic CT Palliative Radiotherapy: Feasibility Study of Treating Bone Metastases Without a CT Simulation

Overview

The purpose of this non-randomized, prospective study is to assess the feasibility of planning and delivering conventional palliative radiotherapy to bone metastases on previously available diagnostic CT scans (dCT). Objectives:1) dosimetric accuracy of palliative radiotherapy designed on a dCT compared to a CT simulation 2) assess suitability of patient set up using surface landmarks and kilo voltage (kV) imaging 3) determine the proportion of patients who can receive radiotherapy designed on a dCT 4) confirm eligibility criteria for appropriate patients in clinical practice All enrolled patients will undergo a CT simulation with tattoos as per current standard of care.The radiation oncologist will place fields on the dCT and CT simulation. Radiotherapy will be planned on both CT scans and reviewed for quality by both the radiation oncologist and medical physicist.

Purpose: This prospective study aims to demonstrate the feasibility of delivering palliative radiotherapy designed on a diagnostic CT scan (dCT) for patients with bone metastases in the spine and bony pelvis. Hypothesis: At least eighty percent of patients will successfully receive radiotherapy as designed on the dCT. Justification: Currently, patients who require palliative radiotherapy for bone metastases undergo a CT simulation and tattoos to design their radiotherapy. However, many of these patients already have a diagnostic CT scan. Other cancer centres have developed protocols to design radiotherapy on diagnostic CT scans. This technique allows patients to avoid CT simulations which can delay access treatment and can be burdensome for frail patients. The successful implementation of a diagnostic CT palliative radiotherapy (dCT-RT) workflow could provide more timely access to radiotherapy for patients, decrease resource utilization (CT simulation time, radiation therapist and nursing time), and decrease the carbon footprint of this service by decreasing the number of trips required to the cancer centre. Objectives: Primary: 1) dosimetric accuracy of palliative radiotherapy designed on a dCT compared to a CT simulation 2) assess suitability of patient set up using surface landmarks and kilo voltage (kV) imaging 3) determine the proportion of patients who can receive radiotherapy designed on a dCT 4) confirm eligibility criteria for appropriate patients in clinical practice Secondary: 1) patient satisfaction with treatment process 2) evaluate carbon footprint savings of dCT-RT workflow Research Design and Statistical Analysis: This non-randomized prospective feasibility study will enroll ten eligible patients. All study activities will take place at BC Cancer, Vancouver Centre. Eligible patients will have their dCT reviewed by a radiation oncologist and medical physicist to determine suitability for radiotherapy planning. All enrolled patients will undergo a CT simulation with tattoos as per current standard of care. Radiotherapy will be planned on both their dCT scan and CT simulation. Patient set up will be performed using surface landmarks and confirmed with KV imaging. Quality assurance (QA) per the centres standard of practice will occur for plan review, approval and treatment set up. If at any point during the QA process accepted standards are not met, radiotherapy with be delivered according to the standard practice CT simulation plan. Patient, tumor and treatment factors will be collected from the electronic medical record (Cerner) and radiotherapy plan in Aria and evaluated using descriptive statistics. Dosimetric parameters between dCT and CT simulation plans will be compared. The suitability of the dCT-RT plan will be documented as yes/no. The time required to set up a patient up for the dCT-RT workflow on day one will be record. Suitability of patient set up and deliverability of dCT-RTplan will be documented as yes/no. Patient satisfaction will be assessed post treatment with a brief questionnaire and described using descriptive statistics. The carbon footprint saved by the dCT-RT method will be calculated by assessing the carbon footprint associated with travel from home (or hospital) to the cancer centre.