Actively Recruiting

Age: 18Years +
All Genders
NCT07202845

Early Prediction of Neoadjuvant Chemotherapy Response in Bladder Cancer Using Quantitative Multiparametric MRI

Led by Assiut University · Updated on 2025-10-02

39

Participants Needed

1

Research Sites

39 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Bladder cancer is a prevalent malignancy globally, with muscle-invasive disease having a five-year survival rate below 50%. Neoadjuvant chemotherapy (NAC) before radical cystectomy has shown efficacy for resectable muscle-invasive bladder cancer (MIBC). However, non-response to NAC can lead to delayed surgery and unnecessary toxicity. Magnetic resonance imaging (MRI), particularly multiparametric MRI (mpMRI) with dynamic contrast-enhanced (DCE) and diffusion-weighted imaging (DWI), offers functional and quantitative biomarkers that may predict NAC response early in treatment.

CONDITIONS

Official Title

Early Prediction of Neoadjuvant Chemotherapy Response in Bladder Cancer Using Quantitative Multiparametric MRI

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Patients diagnosed with cT2-T4 urothelial carcinoma of the urinary bladder according to TNM classification
  • Patients who give informed, written consent and agree to all study requirements
  • Planned to receive cisplatin-based neoadjuvant chemotherapy followed by radical cystectomy
  • Willing to undergo three multiparametric MRI scans at specified times
Not Eligible

You will not qualify if you...

  • Patients who have received pelvic radiotherapy
  • Severe renal impairment
  • Previous open or laparoscopic pelvic surgery
  • Presence of distant metastases at diagnosis
  • Patients with contraindications to MRI
  • Ineligibility to receive cisplatin chemotherapy

AI-Screening

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Trial Site Locations

Total: 1 location

1

Amr E. Darwish

Asyut, Egypt

Actively Recruiting

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Research Team

H

Hamza mohamed, MBBCh

CONTACT

A

Amr Darwish, Lecturer

CONTACT

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

1

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