MR Radiomic Features in Prostate Cancer
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- IRCCS San Raffaele
- Enrollment
- 200
- Locations
- 1
- Primary Endpoint
- Number of surrogate bioimaging markers of histological characteristics in MR images
Study Overview
Brief Summary
A combination of correct interpretation of imaging and biopsy has given promising results in terms of detecting clinically significant cancer at radical prostatectomy.
Detailed Description
Quantitative approaches to medical image analysis have been developed in recent years with the aim to overcome the limitation of qualitative image interpretation, and provide biomarkers for disease characterization. In particular, the new paradigm, "radiomics", is emerging as the high-throughput extraction of quantitative features from imaging which can aid in characterizing phenotype as in vivo expression of tumoral genotype. The goal of radiomics is to extract accurate and reliable quantitative biomarkers which enhance diagnostic confidence in oncology. A combination of correct interpretation of imaging and biopsy has given promising results in terms of detecting clinically significant cancer at radical prostatectomy.
Study Design
- Study Type
- Observational
- Observational Model
- Case Control
- Time Perspective
- Retrospective
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- Male
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •> 18 years of age
- •In house MRI with contrast medium
- •PCa (prostate cancer) biopsy proven diagnosis
- •In house radical prostatectomy
Exclusion Criteria
- •< 18 years of age
- •MRI without contrast medium
- •Radical prostatectomy executed not in Institution
Outcomes
Primary Outcomes
Number of surrogate bioimaging markers of histological characteristics in MR images
Time Frame: 0-2 years
Segment tumor volumes on the ADC map and extract different imaging features
Secondary Outcomes
- Radiomic features from MRI(0-2 years)
- Extract radiomic features(0-2 years)
Investigators
Francesco De Cobelli
Head, Radiology Department
IRCCS San Raffaele