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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT05846165
Other study ID # 2-115-22
Secondary ID
Status Not yet recruiting
Phase N/A
First received
Last updated
Start date May 2023
Est. completion date March 2024

Study information

Verified date April 2023
Source University of Aberdeen
Contact Celia G Alvarez Campano, Dr
Phone +44 1224 437828
Email celia.alvarezcampano@abdn.ac.uk
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

The goal of this pilot study is explore the parameters that can be obtained in bladder tumours by Field-Cycling Imaging (FCI) in patients with both muscle-invasive and non-muscle invasive tumours. The main question it aims to answer is if FCI can give more diagnostic information than conventional tests. Participants will have one FCI scan and the results will be correlated with the results of CT urogram or CT scan.


Description:

Patients with organ-confined muscle invasive bladder cancer are treated either by removal of their bladder at cystectomy or by organ-preserving treatment, generally following neoadjuvant chemotherapy. In some cases, the neoadjuvant chemotherapy can shrink the tumour so that it is clinically undetectable but there may still be tumour cells present microscopically. This presents a difficulty during planning of radiotherapy treatments, which could then miss the tumour and lead to tumour recurrence. Field-Cycling Imaging (FCI) is an emerging imaging technology pioneered at the University of Aberdeen. FCI can image human tissues non-invasively over a wide range of magnetic field strengths, directly informing on multi-scale tissue structure from nanometres to micrometres. FCI has already shown significant potential for enhanced diagnosis in a range of diseases, and recent results show several potential biomarkers of cancer in breast, colon, and brain. FCI has not been used in bladder cancer before. In this proof-of-concept study, we will recruit patients with both muscle-invasive and non-muscle invasive tumours to explore the parameters that can be obtained in bladder tumours by FCI. Results of the FCI scans will be correlated with the results of CT urogram or CT scan.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 10
Est. completion date March 2024
Est. primary completion date March 2024
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: - Patients attending for flexible cystoscopy found to have a tumour of at least 3 cm in diameter (muscle-invasive or non-muscle invasive) - Participants must be aged 18 and above - Participants who meet the safety criteria for undergoing an MRI scan - Participants who are able to fit inside the scanner - Participants must be able to give fully informed consent - Participants must be mobile enough to be positioned onto the FCI scanner couch Exclusion Criteria: - Patients with total hip replacement - MRI-incompatible conditions, as detected in the MRI safety screening sheet - Participants under 18 years old - Participants who are unable to communicate in English - Participants who are unable to give fully informed consent - Women who are pregnant - Restrictions to mobility that would prevent the correct positioning in the scanner - Participants who suffer from claustrophobia

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Field-Cycling Imaging (FCI)
FCI scan

Locations

Country Name City State
n/a

Sponsors (2)

Lead Sponsor Collaborator
University of Aberdeen NHS Grampian

Outcome

Type Measure Description Time frame Safety issue
Primary Identification of bladder tumours by Field-Cycling Imaging (FCI) scan Validation of FCI T1 dispersion profiles as a non-invasive technology able to detect bladder tumours. At baseline
Secondary Differentiation of bladder tumours assessed by Field-Cycling Imaging (FCI) T1 dispersion profiles Validation of FCI T1 dispersion profiles as a clinical tool for distinguishing non-muscle invasive from muscle-invasive bladder tumours. At baseline
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