Cancer
Conditions
Brief summary
Whole-body diffusion-weighted MRI (WBDWI) is a non-invasive tool used for staging and response evaluation in oncologic practice and is at the core of emerging response criteria in advanced prostate and breast cancers. WBDWI is a sensitive tool that radiologists can use to review the extent of disease and is achieved using a series of sequential imaging stations from the head to the mid-thigh. WBDWI accounts for more than 50% of the acquisition time of conventional whole-body MRI studies with a 1-hour duration. Despite national and international guidance for using whole-body MRI, a recent UK survey indicated that only 27% of UK radiology departments were offering a whole-body MRI service with a lack of scanner availability cited by 50% of respondents as the main challenge to service delivery. In the context of the ever-increasing capacity pressures on MRI departments, reducing acquisition times would facilitate the wider adoption of clinical WBDWI, reduce costs, and improve the patient experience. DWI is also embedded into consensus MRI protocols across almost all tumour types including primary prostate and breast cancers, metastatic liver disease, gynaecological cancers & GI cancers, where acquisition time savings could also be beneficial. The investigators have previously published accelerated DWI with deep learning based denoising filters (quickDWI), which can provide up to 50% reduction in whole-body MRI acquisition times. The goal of the deep-learning algorithm is to remove the noise in these subsampled images, producing an image with acceptable clinical quality. The aim of this investigation is to extend this work by testing quickDWI within a larger retrospective data cohort, incorporating other cancers such as disease of the abdomen and pelvis, primary prostate cancer, liver metastases, and pancreatic cancer.
Interventions
None listed
Sponsors
Royal Marsden NHS Foundation Trust
Study design
Observational model
COHORT
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Inclusion criteria
1. Patients who have received one of the following MRI examinations (scan type shown in parentheses): * Multiple Myeloma (whole-body) * Metastatic Prostate Cancer (whole-body) * Metastatic Breast Cancer (whole-body) * Liver Metastases (stacked abdomen/pelvis) * Pancreatic Cancer (stacked abdomen/pelvis) * Gynaecological Cancers (stacked abdomen/pelvis) * Gastrointestinal Cancers (stacked abdomen/pelvis) * Primary Prostate Cancers (multiparametric Prostate exam) 2. Patients who have received one of the above-mentioned scan types using a modified clinical multi-direction diffusion-weighted (MDDW) MRI protocol as part of standard of care.
Exclusion criteria
* No
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Qualitative image comparison | Throughout study completion, 3 years | The primary endpoint is the qualitative comparison of radiological image quality on a 5-point Likert scale (5 being the best) for quickDWI images and conventional clinical images. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Qualitative contrast-to-noise-ratio comparison | Throughout study completion, 3 years | Qualitative radiological contrast-to-noise-ratio (CNR) on a 5-point Likert scale (5 being the best), for quickDWI images and conventional clinical images. |
| Qualitative artefact comparison | Throughout study completion, 3 years | Qualitative scoring for presence of image artefacts on a 5-point Likert scale (5 being the best), for quickDWI images and conventional clinical images. |
| Inter-observer comparison | Throughout study completion, 3 years | Krippendorff's alpha coefficient for inter-observer agreement of image quality, CNR and image artefacts. |
| Repeatability comparison | Throughout study completion, 3 years | The coefficient of repeatability of median ADC measurements within regions-of-interest (ROIs) defined in the same anatomical areas on both quickDWI and standard clinical imaging. |
Countries
United Kingdom
Outcome results
None listed