Endometrial Carcinoma, Prostate Carcinoma
Conditions
Brief summary
This study evaluates whether newly developed non-FDA approved image processing techniques \[Adaptive Image Reconstruction (AIR Recon) Deep Learning (DL) and Sonic DL\] can provide improved quality and decreased time compared to current scanning techniques.
Interventions
OTHERNon-Interventional Study
Non-interventional study
Sponsors
Mayo Clinic
Study design
Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Patient over the age of 18 * For prostate group, any patient referred for prostate MR for screening purposes with no prior prostate related treatment or prior biopsy * For endometriosis group, any patient referred for possible endometriosis evaluation (pre-surgical)
Exclusion criteria
* Individuals unable to undergo MRI imaging (MR-conditional or MR-nonconditional devices which would need additional procedures/conditions for scanning, pregnant people, individuals with implanted metal, etc.) * Patient under the age of 18 * Patient who is unable to consent
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in image quality (healthy volunteers) | Baseline | Three expert radiologists will read scans (blinded to technique) and provide qualitative feedback to score image quality for standard of care (SOC) imaging, SOC with AirRecon DL, SOC with Sonic DL, and SOC with AirRecon DL and Sonic DL. Reader scoring will use a 1-5 Likert scale (1-5; 1:poor, 5:excellent). |
| Change in scan time | Baseline | Will be considered improved if the duration of the added imaging does not exceed 10 minutes |
Countries
United States
Contacts
CONTACTClinical Trials Referral Office
CONTACTBobbie Ott
PRINCIPAL_INVESTIGATORCandice A. Bookwalter, MD, PhD
Mayo Clinic in Rochester
Outcome results
None listed