Standardization of Prostatic Resection by Virtual Computational Reconstruction and Computational Flow Dynamics

NCT ID: NCT05941260

Last Updated: 2024-05-08

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 15 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2023-07-15
• Study Completion Date: 2023-08-15

Brief Summary

The enlargement of the prostate is responsible for voiding dysfunction in men, and especially elderly men. The primary surgical treatment for symptomatic benign prostatic hypertrophy (BPH) was transurethral resection of the prostate (TURP).

However, current resection techniques are predominantly experience-based and judgment-based, with little evidence to support the most effective portion of the prostate to be respected. So, the investigators plan through the study to construct a flow diagram to evaluate the amount of tissue needed to be resected to improve voiding flow dynamics.

Detailed Description

Benign prostatic hyperplasia (BPH) is an enlargement of the prostate gland that develops in men and is a common cause of voiding dysfunction in elderly patients. It is a major public health concern, causing high morbidity and substantial worsening of men's quality of life. (QOL)

Transurethral resection of the prostate (TURP) is the standard surgical therapy for obstructive prostatic hypertrophy. Various techniques have been suggested for the systematic removal of the adenomatous tissue, all based on the principle that the resection should be done stepwise as bleeding is the surgeon's major problem, leading to loss of visual field and disorientation, it is imperative that resection and hemostasis should both be completed in one area of the prostatic fossa before the next area is tackled. With the development of new techniques for prostate resection that decreases perioperative morbidity, larger sizes of the prostate are being resected, and a new category of patients is considered eligible for such an intervention with a large prostate size of more than 80 gm. However, current resection techniques are predominantly experience-based and judgment-based, with little evidence to support the most effective portion of the prostate to be resected to give us the best voiding outcome postoperative. So, the investigators plan through this study to construct a flow diagram to evaluate the amount of tissue needed to be resected to improve voiding flow dynamics.

Conditions

Prostate Hyperplasia; Prostatic Diseases; Voiding Disorders

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

Male patients above the age of 50

All male patients aged 50 or more with benign prostatic hyperplasia who are scheduled for any planned endourological procedure will be included in our study.

• Routine cystourethroscopy is a standard procedure in any endourological procedure, whatever the type of procedure.
• With advanced imaging technology, it is possible through 3D scanning processes of analyzing photos and videos and digitally defining depth, to create 3D models of the tissues and channels, from endoscopy videos.
• We are going to record this diagnostic cysto-urethroscopy of all patients, and we will send these videos for pre-processing and analysis by virtual computational reconstruction, so that an accurate model could be constructed with a digital model of the urethra geometry and a numerical model of the flow inside the urethra.

Computational fluid dynamics (CFD)

Intervention Type: DIAGNOSTIC_TEST

• Video recording starts in an antegrade manner starting from the bladder neck through the prostatic urethra and ends after the verumontanum at the external sphincter. Videos were taken with a very slow movement of the endoscope to ensure the sharpness of the data and to prevent complications in post-processing.

The focal length and zoom of the endoscope camera were set at the beginning and maintained throughout the capturing, while the angle of the lens changes to capture the widest field possible for each targeted area.

• Computational fluid dynamics (CFD) can then be used to numerically model the behavior of the flow inside the urethra by solving the governing equations of the flow using the finite volume method.
• Through which we can develop a urodynamic computer model to simulate the bladder-urethral passage and predict the success of the resection undertaken by the surgeon. No extra intervention will be provided to our patients apart from their routine surgery.

Interventions

Computational fluid dynamics (CFD)

• Video recording starts in an antegrade manner starting from the bladder neck through the prostatic urethra and ends after the verumontanum at the external sphincter. Videos were taken with a very slow movement of the endoscope to ensure the sharpness of the data and to prevent complications in post-processing.

The focal length and zoom of the endoscope camera were set at the beginning and maintained throughout the capturing, while the angle of the lens changes to capture the widest field possible for each targeted area.

• Computational fluid dynamics (CFD) can then be used to numerically model the behavior of the flow inside the urethra by solving the governing equations of the flow using the finite volume method.
• Through which we can develop a urodynamic computer model to simulate the bladder-urethral passage and predict the success of the resection undertaken by the surgeon. No extra intervention will be provided to our patients apart from their routine surgery.

Intervention Type: DIAGNOSTIC_TEST

Eligibility Criteria

Inclusion Criteria

• Age: above 50 years old, undergoing an elective endo-urological procedure

Exclusion Criteria

1. Neurogenic bladder

2. Previous prostate or urethral surgery

3. Associated urethral stricture

• Minimum Eligible Age: 50 Years
• Eligible Sex: MALE
• Accepts Healthy Volunteers: No

Sponsors

Ain Shams University

OTHER

Sponsor Role: lead

Responsible Party

Ahmed Maher Gamil Ahmed Higazy

principle investigator

Responsibility Role: PRINCIPAL_INVESTIGATOR

Locations

Ahmed Maher

Cairo, , Egypt

Countries

Egypt

Other Identifiers

R1131/2023

Identifier Type: -

Identifier Source: org_study_id