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Can VI-RADS/ADC Accurately Stage Bladder Cancer??

M

Mansoura University

Status

Active, not recruiting

Conditions

Bladder Cancer Stage
MRI Contrast Media Adverse Reaction
Bladder Cancer
Bladder Neoplasm
Diagnoses Disease
Bladder Urothelial Carcinoma
Bladder Disease

Treatments

Radiation: Multi-parametric MRI

Study type

Interventional

Funder types

Other

Identifiers

NCT04167631
MANS.VI-RADS

Details and patient eligibility

About

Vesical Imaging-Reporting And Data System (VI-RADS) is proposed for predicting muscle invasive bladder cancer (MIBC) using multi-parametric MRI. However, No validation study on VI-RADS has been reported yet. Apparent diffusion coefficient (ADC) values on diffusion-weighted MRI are reportedly significantly lower in MIBC than those in non-MIBC(NMIBC).

Full description

Vesical Imaging-Reporting And Data System (VI-RADS) is proposed for predicting muscle invasive bladder cancer (MIBC) using multi-parametric MRI. However, No validation study on VI-RADS has been reported yet. Apparent diffusion coefficient (ADC) values on diffusion-weighted MRI are reportedly significantly lower in MIBC than those in non-MIBC(NMIBC).

We aim to examine the accuracy of VI-RADS for predicting MIBC in final histopathology specimen. To assess whether incorporating ADC into VI-RADS improves the MIBC predictive accuracy of VI-RADS

Enrollment

150 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients diagnosed at the out-patient cystoscopy with papillary or small nodular bladder tumour

Exclusion criteria

  • fungating lesions
  • beyond the scope of enbloc resection

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

150 participants in 1 patient group

Multiparametric MRI
Other group
Description:
Vesical Imaging-Reporting And Data System (VI-RADS) using multi-parametric MRI.
Treatment:
Radiation: Multi-parametric MRI

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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