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Predicting Female Pelvic Tilt and Lumbar Angle Using Machine Learning in Case of Urinary Incontinence and Sexual Dysfunction

Predicting Female Pelvic Tilt and Lumbar Angle Using Machine Learning in Case of Urinary Incontinence and Sexual Dysfunction

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05803512
Enrollment
92
Registered
2023-04-07
Start date
2023-02-01
Completion date
2023-04-15
Last updated
2023-09-26

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

Conditions

The Purpose of This Study is to Predicting Female Pelvic Tilt and Lumbar Angle Using Machine Learning in Case of Urinary Incontinence and Sexual Dysfunction

Brief summary

The purpose of this study is to Predicting female pelvic tilt and lumbar angle using machine learning in case of urinary incontinence and sexual dysfunction

Detailed description

92 patients were distributed randomly into two groups. The first group will be measured pelvic tilt, lumbar angle by spinal mouse and force of contraction of pelvic floor muscles by ultrasound imaging, UDI-6 and FSFI questionnaires for urinary incontinence female The second group will be measured pelvic tilt, lumbar angle by spinal mouse device and force of contraction of pelvic floor muscles by ultrasound imaging, UDI-6 and FSFI questionnaires for normal females. Patients will be examined by radiologist with medical ultrasound imaging and by me with spinal mouse device.

Interventions

None listed

Sponsors

Deraya University
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
FEMALE
Age
30 Years to 40 Years

Inclusion criteria

* \- Their ages varied from 30to 40years, their body mass index (BMI) was 25-30 kg/m2 and a number of parities ≤ three normal vaginal deliveries, at least two years and Subjects hadn't received drugs, patients with mild and moderate urinary incontinence with sexual dysfunction

Exclusion criteria

\- 1. History of spinal surgery or spinal fracture. 2. Volunteers with a history of a recto-vaginal or vesico-vaginal fistula, undiagnosed uterine bleeding urinary tract infection, diabetes, intrauterine device, chest and/or cardiac disease and using any drugs for urinary incontinence 3. Serious diseases, such as heart disease, kidney, liver diseases, gastric ulcer or duodenal ulcer. 4\. A history of bronchial asthma or any chest disease. 5. Uncontrolled diabetes or hypertension. 6. Patients with peacemaker or any metal implant on the treated area. 7. Cancer or patient with past history of tumor excision.

Design outcomes

Primary

MeasureTime frameDescription
Pelvic tilt, lumbar angle2 monthsby spinal mouse device evaluation was carried out with the individuals standing erect and in the maximum trunk flexion and extension postures. The sagittal curvatures of the thoracic spine (T1-2 to T11-12) and lumbar spine (T12-L1 to the sacrum) were measured, as well as the position of the sacrum and hips (difference between the sacral angle and the vertical position).

Secondary

MeasureTime frameDescription
Force of contraction of pelvic floor muscles2 monthsmuscles by ultrasound imaging, convex transducer was used at a frequency of 5 MHz for evaluating. Voluntary PFM contractions' force (strength) of all patients

Countries

Egypt

Outcome results

None listed

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