Validation of deep learning reconstruction techniques used in clinical MRI rectum studies. Cancer
Conditions
Interventions
This is a single-centre blinded observational study to demonstrate Deep Learning Reconstruction-enabled rectum MRI protocols are equivalent or superior to the pre-existing clinical protocol.
Healthy
Sponsors
St George's Hospital
Eligibility
Sex/Gender
All
Age
18 Years to 100 Years
Inclusion criteria
Inclusion criteria: Staff: Staff in the Medical Physics and Engineering group Patients: 1. Adult patients who have been referred to St George’s Hospital General Radiology MRI department for an MRI pelvis study 2. Able to withstand up to an additional 15 minutes in the MRI scanner
Exclusion criteria
Exclusion criteria: 1. Any volunteer who is not an adult 2. Pregnancy 3. Any patient who cannot give informed written consent 4. Cannot complete a screening questionnaire 5. Has not been referred for an MRI pelvis scan for a rectum study at St George’s Hospital General Radiology MRI department as an outpatient 6. Is an at-risk patient 7. Non-English speakers
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Following a reduction in the acquisition time, equivalent image quality is achieved demonstrated by median Likert scores of the DLR enabled protocol >= median Likert scores of the clinical protocol as assessed by a blinded radiologist. Assessment is performed only once, following the MRI acquisitions. Likert scoring consists of a five-point system that assesses: signal to noise ratio; rectal wall sharpness/conspicuity; overall image quality; and bowel motion. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Agreement between the clinically relevant measurements of rectal tumours on DLR enabled versus clinical scans using biomarker measurements following the MRI acquisition at one timepoint 2. Potential benefits of using DLR-enabled protocols, including shortened acquisition times and improved imaged quality measured using key performance indicators, such as increased patient throughput, over the course of the study | — |
Countries
England, United Kingdom
Contacts
Public ContactZach Pang
Outcome results
None listed