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Blue Light Cystoscopy With Cysview® Registry

Blue Light Cystoscopy With Cysview® Registry

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02660645
Acronym
BLCCR
Enrollment
4400
Registered
2016-01-21
Start date
2014-04-30
Completion date
2028-12-31
Last updated
2025-12-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bladder Cancer

Keywords

Cysview, Hexaminolevulinate, Hexvix, NMIBC, BLCC, Blue Light Cystoscopy with Cysview, Cystoscopy, TURBT, TUR, Fluorescent cystoscopy, Non-muscle invasive bladder cancer (NMIBC), Transurethral resection (TUR)

Brief summary

Registry study to gather more information on the current use of Blue Light Cystoscopy with Cysview (BLCC) in urologists' practices.

Detailed description

Data will be captured on specific patient types undergoing Blue Light Cystoscopy with Cysview for known or suspected non-muscle invasive bladder cancer. Specific clinical questions will be asked. 1. What is the incremental detection rate with Blue Light Cystoscopy with Cysview over conventional white light cystoscopy in each of the seven (7) patient populations? Does this translate into lower recurrence/progression rate? 2. How do the six (6) tumor variables used in the European Association of Urology (EAU) risk tables (primary/secondary, recurrence rate, size, multifocality, grade, and history of carcinoma in situ (CIS))6 affect this incremental rate? 3. How does an abnormal cytology or positive or negative fluorescent in situ hybridization (FISH) affect the likelihood that Blue Light Cystoscopy with Cysview will detect more cancers than white light? 4. What are the performance characteristics of Blue Light Cystoscopy with Cysview within eight (8) weeks of Bacillus Calmette-Guérin (BCG) with respect to improved tumor detection and false positive rate compared to conventional white light cystoscopy? 5. What is the incremental Blue Light Cystoscopy with Cysview detection rate over random bladder biopsies alone in patients being evaluated for routine three month restaging (group 4) or occult disease (group 5)? 6. What are the performance characteristics of Blue Light Cystoscopy with Cysview after repeated Blue Light Cystoscopy with Cysview evaluations with respect to improved tumor detection, false positive rate and safety compared to conventional white light? 7. Does an abnormal urinalysis help identify patients with inflammation more likely to have false positive Blue Light Cystoscopy with Cysview results? 8. What is the practical learning curve for becoming proficient with Blue Light Cystoscopy with Cysview? 9. What is the overall false positive rate with Blue Light Cystoscopy with Cysview? 10. Can Blue Light Cystoscopy with Cysview make the resection more complete? If yes, is this due to improved margins and/or additional tumors seen under blue light? 11. What are the performance characteristics of BLC™ with Cysview® on patients with variant histology? 12. How does BLC™ with Cysview® impact detection of tumors in surveillance and patient management decisions? 13. How does BLC™ with Cysview® impact management of small tumors during office biopsy/fulguration? 14. How can BLC impact patient selection for bladder cancer sparing drugs? 15. Does the combination of BLC with urine biomarkers guide appropriate therapy and or change management? 16. Does BL have an impact on long term outcomes such as recurrence or progression? 17. Can AI models be optimized and validated to accurately predict patient response to intravesical therapy (such as BCG or intravesical chemotherapy) in non-muscle invasive bladder cancer? 18. How concordant are the predictions of AI algorithms with treatment decisions documented in real-world clinical registries? 19. How do AI-predicted responses correlate with patient outcomes, including recurrence and progression, within predefined clinical subgroups such as 'BCG-naïve' or 'no prior intravesical treatment'? 20. What is the potential impact of implementing AI-based predictive models on changes in management (e.g., treatment selection, patient management, and overall care outcomes)? The Blue Light Cystoscopy with Cysview Registry is a web-based program supported by Global Vision Technologies. Data will be captured longitudinally over five (5) years on patients from each enrolled site. Each center will enter their respective site's patient data electronically.

Interventions

DRUGHexaminolevulinate hydrochloride (HCL)

Instillation in bladder

Sponsors

Catalyst Pharmaceutical Research
CollaboratorINDUSTRY
Photocure
Lead SponsorINDUSTRY

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Adult \>18 years old * Suspected or known non-muscle invasive bladder cancer on the basis of a prior cystoscopy

Exclusion criteria

* Porphyria * Gross hematuria * Known hypersensitivity to hexaminolevulinate or aminolevulinate derivatives

Design outcomes

Primary

MeasureTime frameDescription
Rate of detection of bladder malignancies5 yearsRate of detection of bladder malignancies with Blue Light Cystoscopy with Cysview versus white light cystoscopy alone.

Secondary

MeasureTime frameDescription
False-positive detection rates5 yearsRates of false-positive lesion biopsies based on pathological findings
Higher-Quality resection rates with Blue Light Cystoscopy with Cysview versus white light cystoscopy alone5 yearsRate of additional margin detection with Blue Light Cystoscopy with Cysview versus white light cystoscopy alone
Proportion of patients with adverse events considered causally related to Cysview in repeat administration.5 yearsAdverse events reporting
Recurrence Rates5 yearsRecurrence rates NMIBC in patients whose lesions were detected with Blue Light Cystoscopy with Cysview
Cystectomy Rate5 yearsProportion of patients who have a cystectomy performed

Countries

United States

Contacts

Primary ContactChad McKee, PhD
chad.mckee@photocure.com(919) 780-0417

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026