Feasibility Study of an MRI-only Workflow: Use of Synthetic CTs Generated From MRI Data for MRI-based Radiotherapy
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Brain Tumor, Primary
- Sponsor
- University of Erlangen-Nürnberg Medical School
- Enrollment
- 54
- Locations
- 1
- Primary Endpoint
- Proportion of patients that can successfully be treated in an MRI-only workflow
- Status
- Not yet recruiting
- Last Updated
- 2 years ago
Overview
Brief Summary
The goal of this observational study is to show the feasibility of an MRI-only workflow in brain radiotherapy. The main question it aims to answer is:
- Is an MRI-only workflow based on deep learning sCTs feasible in clinical routine? Participants will be treated as in clinical routine, but treatment planning will be based on sCTs, that are generated from MRI images. The dosimetrical equivalence to the standard CT based workflow will be tested at several points in the study.
Detailed Description
The purpose of this clinical study is to investigate the clinical feasibility of a deep learning-based MRI-only workflow for brain radiotherapy, that eliminates the registration uncertainty through calculation of a synthetic CT (sCT) from MRI data. A total of 54 patients with an indication for radiation treatment of the brain and stereotactic mask immobilization will be recruited. All study patients will receive standard therapy and imaging including both CT and MRI. All patients will receive dedicated RT-MRI scans in treatment position. An sCT will be reconstructed from an acquired MRI DIXON-sequence using a commercially available deep learning solution on which subsequent radiotherapy planning will be performed. Through multiple quality assurance (QA) measures and reviews during the course of the study, the feasibility of an MRI-only workflow and comparative parameters between sCT and standard CT workflow will be investigated holistically. These QA measures include feasibility and quality of image guidance (IGRT) at the linear accelerator using sCT derived digitally reconstructed radiographs in addition to potential dosimetric deviations between the CT and sCT plan. The aim of this clinical study is to establish a brain MRI-only workflow as well as to identify risks and QA mechanisms to ensure a safe integration of deep learning-based sCT into radiotherapy planning and delivery.
Investigators
Eligibility Criteria
Inclusion Criteria
- •Written informed consent
- •Patient older than 18 years
- •Tumor or metastases in the brain
- •Immobilization with stereotactic mask
- •Treatment on stereotactic linear accelerator (2.5 mm leafs) equipped with 2D/2D X-ray system
Exclusion Criteria
- •Metal in the body, metal implants, pacemakers or other patient-specific factors that are a contraindication to an MRI scan
- •Metal implants, pacemakers or other patient-specific factors associated with increased risk from an MRI scan
- •Renal insufficiency (eGFR \< 60 ml/min), allergy or other patient-specific factors that constitute a contraindication to contrast administration
- •Renal insufficiency (eGFR \< 60 ml/min), allergy or other patient-specific factors associated with an increased risk from contrast administration
- •Patients who are institutionalized in care facilities, prisons or other supervised facilities.
- •Patients under guardianship
- •Non-consenting patients
- •Pregnant or breastfeeding patients
Outcomes
Primary Outcomes
Proportion of patients that can successfully be treated in an MRI-only workflow
Time Frame: 12 month
All criteria have to be met for the MRI-only workflow to be classified as successful: Verification criteria that will be assessed: 1. Can the sCT be generated and is the sCT clinically utilizable? 2. Are the three rotations needed for CT-MRI registration each ≤ 3°? 3. Can a treatment plan be generated and verified using the sCT? 4. Is the dosimetric difference between sCT and CT based treatment plan in the planning target volume ≤ 3%? 5. Is the dosimetric difference between the sCT and CT based treatment plan in affected organs at risk (receiving \> 10% of prescribed dose) ≤ 3%? 6. Are the couch correction parameters during patient positioning in the rotational degrees of freedom ≤ 3°?
Secondary Outcomes
- Measurement of intra-MRI patient positional changes(12 month)
- Organ at risk contouring accuracy on MRI data(12 month)
- Reasons that lead to unfeasibility of an MRI-only workflow(12 month)
- Dosimetric differences between MRI-only and standard workflow for radiotherapy treatment planning(12 month)