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CombIning advaNces in imagiNg With biOmarkers for improVed Diagnosis of Aggressive prosTate cancEr (INNOVATE)

This study is currently recruiting participants.
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Verified October 2016 by University College, London
Sponsor:
Information provided by (Responsible Party):
University College, London
ClinicalTrials.gov Identifier:
NCT02689271
First received: February 12, 2016
Last updated: October 25, 2016
Last verified: October 2016
February 12, 2016
October 25, 2016
April 2016
March 2018   (Final data collection date for primary outcome measure)
Diagnostic accuracy of VERDICT MRI [ Time Frame: 3 - 6 months (after targeted biopsy or follow up MRI) ]
Radiological assessment with added VERDICT MRI improves the specificity of mp-MRI for detection of significant prostate cancer by >10% above standard multi-parametric MRI alone.
Same as current
Complete list of historical versions of study NCT02689271 on ClinicalTrials.gov Archive Site
Not Provided
Not Provided
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CombIning advaNces in imagiNg With biOmarkers for improVed Diagnosis of Aggressive prosTate cancEr
CombIning advaNces in imagiNg With biOmarkers for improVed Diagnosis of Aggressive prosTate cancEr
To enable the paradigm of mp-MRI before biopsy in all patients with suspected prostate cancer by better selecting patients who will benefit from diagnostic MRI and by improving the performance of the mp-MRI itself

Patients will undergo an advanced diffusion-weighted MRI sequence called VERDICT with the intention of better characterising prostate cancer. A panel of serum and urine biomarkers will also be analysed, which we hope will predict those patients who go on have a positive MRI.

OBJECTIVES:

  • To establish a fluidic marker - prostate MRI paradigm which: (i) utilises fluidic markers to rationalise selection of patients with significant prostate cancer; and (ii) improves the diagnostic accuracy of imaging over and above standard multiparametric (mp) MRI
  • Enable a pathway for rapid clinical evaluation of emerging fluidic markers and exosomes
  • Assess the repeatability of VERDICT MRI
  • Ascertain whether VERDICT derived quantitative parameters correlate with quantitative histological parameters
  • Develop a database of fluidic marker and VERDICT characterised, mp-MRI, histologically validated patients for subsequent exploratory and longitudinal outcome analysis
Observational
Observational Model: Cohort
Time Perspective: Prospective
Not Provided
Retention:   Samples With DNA
Description:
Blood and urine samples
Non-Probability Sample
Men with suspected prostate cancer
Prostate Cancer
Other: MRI
VERDICT diffusion-weighted microstructure imaging sequence
Not Provided
Johnston E, Pye H, Bonet-Carne E, Panagiotaki E, Patel D, Galazi M, Heavey S, Carmona L, Freeman A, Trevisan G, Allen C, Kirkham A, Burling K, Stevens N, Hawkes D, Emberton M, Moore C, Ahmed HU, Atkinson D, Rodriguez-Justo M, Ng T, Alexander D, Whitaker H, Punwani S. INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of prostate cancer. BMC Cancer. 2016 Oct 21;16(1):816.

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Recruiting
365
March 2018
March 2018   (Final data collection date for primary outcome measure)

Inclusion Criteria:

  • Men referred to UCLH for prostate mp-MRI following biopsy elsewhere and biopsy naive men presenting to UCLH with a clinical suspicion of prostate cancer.

Exclusion Criteria:

  • Men unable to have a MRI scan, or in whom artefact would reduce quality of MRI
  • Men unable to given informed consent
  • Previous treatment (prostatectomy, radiotherapy, brachytherapy) of prostate cancer
  • On-going hormonal treatment for prostate cancer
  • Previous biopsy within 6 months of scheduled mp-MRI
Sexes Eligible for Study: Male
18 Years and older   (Adult, Senior)
No
United Kingdom
 
 
NCT02689271
15/0692
Yes
Not Provided
Plan to Share IPD: No
University College, London
University College, London
Not Provided
Not Provided
University College, London
October 2016

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP