Role of FDG-PET CT in the Management of Muscle Invasive Bladder Cancer
NCT ID: NCT04053101
Last Updated: 2025-09-18
Study Results
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View full resultsBasic Information
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COMPLETED
130 participants
OBSERVATIONAL
2017-04-01
2019-08-31
Brief Summary
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Optimal staging of lymph nodes and metastasis is crucial for treatment decision of muscle invasive bladder cancer (MIBC).
Guidelines do not recommend FDG-Positron Emission Tomography (PET) Computed Tomography (CT), but rather CT for lymph node and metastatic staging, despite its low accuracy. We performed a retrospective analysis of patients undergoing PET CT for localized MIBC in two centers, to help define the utility of PET CT in this setting.
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Detailed Description
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Bladder cancer is the second most frequent genito-urinary cancer, and the seventh cause of cancer mortality in France. Overall survival is poor, between 45 and 50% at 5 years. Curative treatment of muscle invasive urothelial carcinoma localized to the bladder includes cisplatin-based neoadjuvant chemotherapy, followed by radical cystectomy with lymph nodes dissection. Nonetheless, surgery indications depend on pre-operative staging regarding nodes and metastatic involvement.
Computed Tomography (CT) scan is the reference imaging study for loco-regional and metastatic staging. Lymph node involvement evaluation is based on morphologic criteria only. Its sensitivity lies between 30 and 53% and its specificity between 67 and 91%. Yet, optimal node staging is crucial for therapeutic decision.
FDG-Positron Emission Tomography (PET) CT, using both morphologic and functional criteria, could help for node staging in muscle invasive bladder cancer assessment, especially by detecting infracentimetric involved lymph nodes. Moreover, it could be useful for detecting distant metastasis.
Objective: To evaluate the accuracy of the PET CT for lymph node staging and to determine the rate of treatment modification according to PET CT results Methods: Retrospective study based on the medical records of every patient undergoing a PET CT at the time of diagnosis of MIBC from 01/2005 to 12/2017 in Bordeaux (Bergonie Institute and University Hospital). PET CT could have been done before any treatment (PET 1) and/or after neo-adjuvant chemotherapy and before surgery (PET 2).
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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MIBC
Patients with muscle invasive bladder cancer (MIBC)
PET CT
Every patient undergoing a PET CT at the time of diagnosis of muscle invasive bladder cancer from January 2005 to December 2017 in Bordeaux (Institut Bergonié and University Hospital).
Interventions
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PET CT
Every patient undergoing a PET CT at the time of diagnosis of muscle invasive bladder cancer from January 2005 to December 2017 in Bordeaux (Institut Bergonié and University Hospital).
Eligibility Criteria
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Inclusion Criteria
* Diagnosis between January 2005 and December 2017
* PET CT done during initial assessment before surgery (at the time of diagnosis and/or after neoadjuvant chemotherapy)
* Management of cancer at Institut Bergonié or at Bordeaux University Hospital
* Previous treatment for Non Muscle Invasive Bladder Cancer allowed
Exclusion Criteria
* No PET CT done during initial assessment (before surgery)
* Rare pathological type of bladder cancer without urothelial carcinoma (epidermoid carcinoma, neuro-endocrine carcinoma, …)
* Extra-vesical urothelial carcinoma
18 Years
ALL
No
Sponsors
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Institut Bergonié
OTHER
Responsible Party
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Locations
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Centre Hospitalier Universitaire de Bordeaux
Bordeaux, , France
Institut Bergonie
Bordeaux, , France
Countries
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References
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Bertolaso P, Brouste V, Cazeau AL, de Clermont-Gallerande H, Bladou F, Cabart M, Lefort F, Gross-Goupil M. Impact of 18 FDG- PET CT in the Management of Muscle Invasive Bladder Cancer. Clin Genitourin Cancer. 2022 Jun;20(3):297-297.e6. doi: 10.1016/j.clgc.2022.01.009. Epub 2022 Jan 14.
Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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MR 3316040319
Identifier Type: OTHER
Identifier Source: secondary_id
IB2018-TEP vessie
Identifier Type: -
Identifier Source: org_study_id
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