Predicting Changes in Core Muscles During Female Sexual Dysfunction: A Comprehensive Analysis Using Machine and Deep Learning

Completed

• Conditions: Female Sexual Dysfunction
• Interventions: Other: no intervention

• Registration Number: NCT05833685
• Lead Sponsor: Deraya University

Brief Summary

The purpose of this study is to Predicting changes in core muscles during female sexual dysfunction by A Comprehensive Analysis Using Machine and Deep Learning Female sexual dysfunction (FSD) is a common condition that affects womenof all ages. It is characterized by a range of symptoms, including decreased libido, difficulty achieving orgasm, and pain during intercourse. One potential cause of FSD is muscular weakness or changes in the core muscles. These muscles play an important role in sexual function, and changes in their strength or activation patterns can lead to FSD. Additionally, the development of a machine learning model for this purpose could pave the way for future studies exploring the use of artificial intelligence in the diagnosis and treatment of other musculoskeletal disorder and female health issues.

Detailed Description

Not available

Study Timeline

• Study Start: 2023-02-01
• Primary Completion: 2023-04-10
• Study Completion: 2023-04-15
• Study First Submitted: 2023-04-16
• Study First Submitted QC: 2023-04-16
• Study First Posted: 2023-04-27
• Status Verified: 2023-09
• Last Update Submitted: 2023-09-24
• Last Update Posted: 2023-09-26

Recruitment & Eligibility

• Status: COMPLETED
• Sex: Female
• Target Recruitment: 100

Inclusion Criteria

• a number of parities ≤ three
• normal vaginal deliveries

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Exclusion Criteria

• History of a recto-vaginal or vesico-vaginal fistula, undiagnosed uterine bleeding urinary tract infection,
• diabetes,
• intrauterine device
• sexual disorder

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Normal females	no intervention	-
Female sexual dysfunction group	no intervention	-

Primary Outcome Measures

Name	Time	Method
Diaphragm excursion	2 months	Ultrasound imaging curvilinear transducer

Secondary Outcome Measures

Name	Time	Method
Force of contraction of pelvic floor muscles	2 months	ultrasound imaging, convex transducer was used at a frequency of 5 MHz for evaluating. Voluntary PFM contractions' force (strength) of all patients. It has a good inter-rater reliability for measuring PFM force (ICC, 0.81, 0.7123) respectively, as well as a good intra-rater reliability (ICC,0.98, 0.9841) respectively

Trial Locations

Locations (1)

Deraya university; 🇪🇬 Minya, Minia, Egypt