Multimodal Spectroscopy to Detect Urothelial Cancer in Urine
"The Feasibility of a Multimodal Spectroscopy Analysis to Detect Urothelial Cancer in Urine"
To facilitate the follow-up of urothelial tumors and also make them more tolerable and less invasive for patients, there is a minimally invasive and easy to perform examination which is urinary cytology on 3 samples. This test is extremely specific, over 90% chance of cancer if it is positive and is performed by expert cytopathologists, but it is burdened by a very low sensitivity, which is especially acute in the case of low grade tumors. This makes it an extremely useful test in case of positivity, but of little use if negative or doubtful, not being able to consider it reliable.
To overcome this problem, our study aims to bring an approach based on a physical principle, that is spectroscopy, which is fast non-invasive and does not require the use of additional substances or contrast media in the diagnosis of urothelial neoplasms in samples of urine.
In our experience, multimodal optical fiber spectroscopy has proved extremely valid in discriminating healthy urothelial tissue from tumor ex vivo, as well as providing important information on the degree of urothelial neoplasia, with accuracy rates higher than 80%, for which developed the idea of a technique based on multimodal spectroscopy.
If our method proves valid, it could improve the follow up and management of patients with urothelial cancer, being able to support normal cytology and provide further support to the cytopathologist, as well as simplify the diagnosis.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Simone Morselli, MD
- Phone Number: +39 3473050852
- Email: simone.morselli.89@gmail.com
Study Locations
-
-
Tuscany
-
Florence, Tuscany, Italy, 50134
- Recruiting
- Careggi Hospital
-
Sub-Investigator:
- Alekseja Manera, MD
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Patients who meet the inclusion and exclusion criteria will be enrolled at Urology ward admission. Informed consent will be collected. Patients therapeutic routine will be unaffected.
In the morning before surgery, the patient will collect urine sample. The patient will then continue the previously established diagnostic therapeutic process. The sample will be brought to the spectroscopic and cytological analysis. Samples will not be stored.
According to the sample size calculation based on the asymptotic normal distribution theory, a total of 240 cases and 240 controls will be required if the study is to have 90% power. A series of 5000 simulations generating binary test data with a true positive frequency and a true negative frequency of 80% showed that these sample sizes produce 89% power. Increasing the sample size to 250 cases and 250 controls increases the potency to 90%. Therefore, approximately 250 cases and 250 controls will be enrolled in this phase 2 validation study.
Description
CASES Inclusion criteria
Patients over the age of 18 who are known for urological interventions for the following pathologies will be considered for enrollment in the group of cases:
- Bladder cancer
- Urethral tumor
- Renal Pelvis Tumor
- Ureteral tumor
The exclusion criteria will be:
- Age under 18
- Pregnancy
- Lack of informed consent
- Persons with indwelling catheter
- Presence of prostate cancer
- Presence and / or history of renal cancer, except tumors of the renal pelvis
CHECKS Inclusion criteria
Patients over the age of 18 who are known for urological interventions for the following pathologies will be considered for enrollment in the control group:
- Kidney, ureteral or bladder stones
- BPH
The exclusion criteria will be:
- Age under 18
- Pregnancy
- Lack of informed consent
- Indwelling Catheter wearers
- Presence of prostate cancer
- Presence of kidney cancer, including kidney pelvic tumors
- Presence and / or history of ureteral cancer
- Presence and / or history of bladder cancer
- Presence and / or history of urethral cancer
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Prospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Patients Positive for Urinary Tract Cancer
Patients will undergo urinary cytology, multimodal spectroscopy in urine and urologic surgical intervention The group of cases will consist of patients who meet the inclusion and exclusion criteria in the operative note for:
|
Approach based on a physical principle, mainly spectroscopy, which is rapid non-invasive and does not require the use of additional substances or contrast media in the diagnosis of urothelial neoplasms in urine samples. It will be administered through a appositely designed device
An expert cytopathologist will analyze urine samples to detect urinary tract cancer cells.
It is the current golden standard to detect urothelial cancer in urine
It will provide a reliable information on the presence/absence of cancer in the urinary tract (from direct visualization to pathological analysis)
|
|
Patients Negative for Urinary Tract Cancer
Patients will undergo urinary cytology, multimodal spectroscopy in urine and urologic surgical intervention The control group will consist of patients who meet the inclusion and exclusion criteria in the operative note for:
|
Approach based on a physical principle, mainly spectroscopy, which is rapid non-invasive and does not require the use of additional substances or contrast media in the diagnosis of urothelial neoplasms in urine samples. It will be administered through a appositely designed device
An expert cytopathologist will analyze urine samples to detect urinary tract cancer cells.
It is the current golden standard to detect urothelial cancer in urine
It will provide a reliable information on the presence/absence of cancer in the urinary tract (from direct visualization to pathological analysis)
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Urine Multimodal Spectroscopy Reliability
Time Frame: Enrollment
|
Evaluate whether multimodal spectroscopy can discriminate between healthy controls and patients with urothelial neoplasia on urine, with an accuracy at least comparable to urinary cytology on 3 samples
|
Enrollment
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Urine Multimodal Spectroscopy Grading
Time Frame: Enrollment
|
Evaluate whether multimodal spectroscopy is able to discriminate between high or low grade urothelial lesions on urine
|
Enrollment
|
|
Urine Multimodal Spectroscopy Site Discrimination
Time Frame: Enrollment
|
Evaluate whether multimodal spectroscopy is able to discriminate between lower or upper urinary tract lesions on urine
|
Enrollment
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Mauro Gacci, MD, Careggi University Hospital
- Principal Investigator: Enrico Baria, PhD, European Laboratory for Non-Linear Spectroscopy
- Principal Investigator: Riccardo Cicchi, PhD, Fondazione C.N.R./Regione Toscana "G. Monasterio", Pisa, Italy
- Principal Investigator: Francesco Saverio Pavone, Prof, University of Florence
- Principal Investigator: Gabriella Nesi, Prof, University of Florence
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 17686_BIO
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
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