Prostate Cancer Clinical Trial
Official title:
A Pilot Study of a Novel Imaging Protocol in Use to Identify Lymph Nodes and Organs of Interest for Surgical Dissection Within Urologic Regions of Interest.
This research study is a pilot clinical trial, which hypothesizes that the combination of electromagnetic tracking in conjunction with laparoscope imaging and ultrasound probe imaging will aid in reducing the complexity of both laparoscopic lymphadenectomy and/or organ removal in patients with a confirmed diagnosis of cancer in urologic regions of interest (Bladder, Prostate, Testicular, Kidney, Urethral, and Penis), by resulting in better visualization and more accurate localization of certain areas in the diseased organ or the diseased lymph node, and allowing for improved surgical and patient outcomes, fewer complications and better clinician performance.
Status | Recruiting |
Enrollment | 10 |
Est. completion date | December 25, 2026 |
Est. primary completion date | August 26, 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Signed written informed consent before any trial-related procedure is undertaken that is not part of the standard patient management - Subjects aged = 18 years. Selected patients must have a confirmed or suspected diagnosis of disease in urologic regions of interest, with scheduled confirmatory surgical biopsy. - Subjects must have had either of the following scans: CT, PET or MR of acceptable quality at Brigham and Women's Hospital within the past year. - Subjects must also be scheduled to undergo lymph node dissection for a urologic cancer or organ removal of any of the following urologic regions of interest: Bladder, Prostate, Testicle, Ureter, Kidney, Urethra, Penis, and Scrotum - Subjects must also be scheduled to undergo a laparoscopic lymph node dissection and/or a urologic organ removal within any OR at BWH. Exclusion Criteria: - Severely impaired renal function with an EGFR < 30 mL/min/body surface area - Evidence of any significant, uncontrolled comorbid condition that could affect compliance with the protocol or interpretation of the results, which is to be judged at the discretion of the PI - History of hypersensitivity or other contraindication to contrast media - Contraindication to general anesthesia - Pregnancy |
Country | Name | City | State |
---|---|---|---|
United States | Brigham and Women's Hospital | Boston | Massachusetts |
Lead Sponsor | Collaborator |
---|---|
Dana-Farber Cancer Institute | Siemens Medical Solutions |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Laparoscope Images | Laparoscope images are images recorded by the laparoscope surgical device. | 1 year | |
Primary | Ultrasound Images | Ultrasound Images are images taken by an ultrasound probe. | 1 year | |
Primary | Electromagnetic Tracking Data | Electromagnetic tracking data is gathered from the movements made by the laparoscope surgical device during surgery. First-order statistics measures will be computed, which include Kinematics metrics such as laparoscope path length, velocity, acceleration, and jerk.
We will analyze the data using a mixed model regression analysis with kinematics metrics as the response and subject as the random effect. Since the kinematics measures are time series, we will address the temporal correlation in this regression model. The fixed effects in this model will include target tissue type, CT Hansfield units, surgeon assessment of navigation difficulty, and patient's BMI. We will test for kinematics outliers by applying the Grubb's test. If there are kinematics outliers, we will try to explain them by going back to the scan and patient history. |
1 year | |
Secondary | Retrospective navigation accuracy | We are collecting data for future assessment of navigation systems, in those studies the primary out will be navigation accuracy
We will analyze the data using a mixed model regression analysis with navigation accuracy as the response and subject as the random effect, as above. We will test for accuracy outliers by applying the Grubb's test and investigate accuracy outliers. |
1 year |
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