Clinical trial · Observational
Accelerated Body Diffusion-Weighted MRI Using Artificial Intelligence
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Cancer | Malignant Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (1)
- measure
- Qualitative image comparison
- timeFrame
- Throughout study completion, 3 years
- description
- 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 outcomes (4)
- measure
- Qualitative contrast-to-noise-ratio comparison
- timeFrame
- Throughout study completion, 3 years
- description
- Qualitative radiological contrast-to-noise-ratio (CNR) on a 5-point Likert scale (5 being the best), for quickDWI images and conventional clinical images.
- measure
- Qualitative artefact comparison
- timeFrame
- Throughout study completion, 3 years
- description
- Qualitative scoring for presence of image artefacts on a 5-point Likert scale (5 being the best), for quickDWI images and conventional clinical images.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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 exclusion criteria as this is a retrospective data study only.
References
Publications (0)
Data not yet available