Health Condition 1: G998- Other specified disorders of nervous system in diseases classified elsewhere
Conditions
Interventions
Intervention1: Nil: Nil
Control Intervention1: Nil: Nil
Sponsors
Dr.JASVANT RAM
Eligibility
Inclusion criteria
Inclusion criteria: 1. Population Criteria: Adult individuals aged between 18 and 65 years. inclusive of all genders to ensure a diverse representation of pituitary anatomical variations. 2. Clinical Indication: Patients undergoing MRI for various clinical indications related to the pituitary gland, such as suspected pituitary adenomas, hormonal imbalances, or other pituitary-related disorder and brain MRI for other clinical indications. 3. Demographic and Anthropometric Data: Availability of complete demographic information (age, sex, ethnicity) and anthropometric measurements (BMI, height, weight). 4. Consent: Patients who provide informed consent to participate in the study and allow the use of their MRI scans and demographic and anthropometric data for research purposes. 5. MRI scan Data: High-quality MRI scans that meet the technical standards required for detailed anatomical analysis. 6. Patients of both gender and pregnant females. 7. Patients who have provided informed consent to participate in the study.
Exclusion criteria
Exclusion criteria: 1. Age: Individuals under 18 years or over 65 years of age. 2. Patients with incomplete demographic information (age, sex, ethnicity) or missing anthropometric measurements (BMI, height, weight). 3. MRI scans that do not meet the technical standards required for detailed anatomical analysis and AI enhancement, such as those with significant artifacts or poor resolution. 4. Patients with severe co-morbid conditions that could significantly impact pituitary anatomy or MRI results, such as -Severe craniofacial trauma ,Major brain surgery ,Active central nervous system infections ,Malignant tumours affecting the pituitary gland. 5. Patients with severe cognitive impairments that prevent them from understanding the study and providing informed consent.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To develop and validate a novel AI-enhanced MRI-based classification system of the pituitary gland by identifying anatomical variations and correlating them with demographic (age, sex, ethnicity) and anthropometric parameters (BMI, height, weight).Timepoint: 24 hours | — |
Secondary
| Measure | Time frame |
|---|---|
| To establish a normative database of pituitary gland measurements stratified by demographic and anthropometric factors for use as a clinical reference.Timepoint: 1 week | — |
Countries
India
Contacts
Public ContactJASVANT RAM
Saveetha medical college and hospital, Saveetha institute of medical and technical sciences
Outcome results
None listed