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

NCT05833685 | Completed

• 1 other identifier: P.REC/ 6/2023
• Study Type: observational
• Target: 100
• Locations: 1 country
• Sites: 1

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.

Conditions

Female Sexual Dysfunction

Keywords

Core Muscles, machine learning,female sexual dysfunction, KNN

Outcome Measures

Primary Outcomes (1)

• Diaphragm excursion

  Ultrasound imaging curvilinear transducer

  2 months

Secondary Outcomes (1)

• Force of contraction of pelvic floor muscles

  2 months

Study Arms (2)

Female sexual dysfunction group

Other: no intervention

Normal females

Other: no intervention

Interventions

no intervention OTHER

no intervention

Female sexual dysfunction group; Normal females

Eligibility Criteria

• Age: 30 Years - 40 Years
• Sex: female
• Age Groups: Adult (18-64)
• Sampling Method: Probability Sample

Study Population

100 patients were distributed randomly into two groups. Female sexual dysfunction group and another group is normal females. Two group will be measure Transverses muscle ratio, Multifidus muscle ratio ,diaphragm excursion and force of contraction of pelvic floor muscles by ultrasound imaging, VLQ and FSFI questionnaires for female sexual function VLQ and FSFI questionnaires for female sexual dysfunction and normal females. Patients will be examined by radiologist with medical ultrasound imaging

You may qualify if:

• a number of parities ≤ three
• normal vaginal deliveries

You may not qualify if:

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

Sponsors & Collaborators

• Deraya University: lead

Study Sites (1)

Deraya university

Minya, Minya Governorate, Egypt

Location

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 16, 2023
• First Posted: April 27, 2023
• Study Start: February 1, 2023
• Primary Completion: April 10, 2023
• Study Completion: April 15, 2023
• Last Updated: September 26, 2023

Record last verified: 2023-09

Data Sharing

• IPD Sharing: Will not share

Locations

EG (1)