- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05097105
Role of Diffusion -Weighted MRI in Evaluation of Urinary Bladder Masses
Urinary bladder cancer is a common malignant tumor of the urinary tract in both men and women. Proper management of the urinary bladder cancer depends on the stage of the lesions.
Differentiating the histopathological types, tumor grade and the depth of tumor invasion are very important for determining the therapeutic approach and are highly correlated with the recurrence, progression and patient's survival.
Radical cystectomy (RC) and lymphadenectomy after neoadjuvant chemotherapy is the standard treatment for muscle invasive tumors, whereas the treatment of choice for non-muscle invasive tumors is transurethral resection (TUR) ±chemo/immunotherapy.
Cystoscopy with biopsy is still the best tool for bladder cancer staging due to its high sensitivity in detecting lesions and the possibilities of tumor resections, but the main drawbacks are invasiveness, limitation in detection of flat lesions, and lack of the assessment of extra-vesical tumor invasion. Modern diagnostic modalities circumvent these limitations like blue-light cystoscopic examination and infrared cystoscopy.
For the radiological evaluation of the urinary bladder, magnetic resonance imaging (MRI) is a valuable imaging modality due to high tissue contrast and multiplanar imaging capabilities.
Diffusion-weighted images provides useful information for evaluation of local T stage of the urinary bladder cancer, specially in differentiating T1 stage or lower tumors from T2 stage and higher tumor stages.
Apparent diffusion coefficient (ADC) delineating the degree of water molecular diffusion and the degree of restriction to water diffusion in biological tissues is inversely correlated to the integrity of the cell membranes and the tissue cellularity.
The apparent diffusion coefficient (ADC) value has been revealed as quantitative measure of the degree of malignancy of the lesions. Decreased ADC values were reported with malignant lesions which have a larger cell diameter and more cellularity than normal tissue.
Study Overview
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: Walaa R Abdellah, assistant lecture
- Phone Number: 01099870794
- Email: walaa.mahmoud@med.sohag.edu.eg
Study Contact Backup
- Name: Mohammed TH Mahmoud, professor
Study Locations
-
-
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Sohag, Egypt
- Sohag University Hospital
-
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria :• Age, any age will be included
- Sex, both genders are included.
- Patient presenting with heamaturia or intractable cystitis and urinary bladder mass lesions detected on ultrasound and/or CT examinations (with contrast).
Exclusion Criteria:
• General contraindications to MR imaging (pacemaker, metallic prostheses and clostrophobia).
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
urilogic patients
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MRI sequences: TI.
T2 and diffusion weighted
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Diagnosis of urinary bladder masses
Time Frame: 2 years
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detection and grading of urinary bladder masses using ADC value and pattern of signal of restriction in diffusion weighted image .
|
2 years
|
Collaborators and Investigators
Sponsor
Publications and helpful links
General Publications
- Daneshmand S, Bazargani ST, Bivalacqua TJ, Holzbeierlein JM, Willard B, Taylor JM, Liao JC, Pohar K, Tierney J, Konety B; Blue Light Cystoscopy with Cysview Registry Group. Blue light cystoscopy for the diagnosis of bladder cancer: Results from the US prospective multicenter registry. Urol Oncol. 2018 Aug;36(8):361.e1-361.e6. doi: 10.1016/j.urolonc.2018.04.013. Epub 2018 May 30.
- Koh DM, Collins DJ. Diffusion-weighted MRI in the body: applications and challenges in oncology. AJR Am J Roentgenol. 2007 Jun;188(6):1622-35. doi: 10.2214/AJR.06.1403.
- Green DA, Rink M, Hansen J, Cha EK, Robinson B, Tian Z, Chun FK, Tagawa S, Karakiewicz PI, Fisch M, Scherr DS, Shariat SF. Accurate preoperative prediction of non-organ-confined bladder urothelial carcinoma at cystectomy. BJU Int. 2013 Mar;111(3):404-11. doi: 10.1111/j.1464-410X.2012.11370.x. Epub 2012 Jul 13.
- Amin MF, Abd El Hamid AM. The diagnostic accuracy of multidetector computed tomography with multiplanar reformatted imaging and virtual cystoscopy in the early detection and evaluation of bladder carcinoma: comparison with conventional cystoscopy. Abdom Imaging. 2013 Feb;38(1):184-92. doi: 10.1007/s00261-012-9902-6.
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- Soh-Med-21-10-32
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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