Clinical Trials Logo

Clinical Trial Summary

1. To develop an artificial intelligence assisted diagnostic model for sarcopenia based on ultrasound images; 2. To develop artificial intelligence classification and regression models for auxiliary diagnosis of sarcopenia, patient strength estimation, and other functions based on ultrasound image data.


Clinical Trial Description

Sarcopenia is a syndrome of age-related muscle mass loss and muscle function decrease, which can be comorbid with a variety of diseases and interacts extensively with various disease states to influence disease prognosis. Diseases such as cancer, diabetes, chronic kidney disease, and rheumatoid arthritis can accelerate the process of muscle loss by affecting myogenic cell regeneration, interfering with protein synthesis, increasing protein consumption, and enhancing protein degradation by the ubiquitination pathway, and the decline in motor function will, in turn, further worsen the prognosis of the disease. Despite some regional differences, the prevalence of sarcopenia has been found to exceed 10%. Early identification of the potential risk of sarcopenia and early intervention in the early stages of muscle mass and function impairment is one of the most important steps to improve the quality of life of older adults. Currently, the diagnosis of sarcopenia relies on three features: loss of muscle mass, loss of muscle strength, and loss of physical performance. At present, physicians usually use bioelectrical impedance analysis (BIA) or dual-energy X-ray absorptiometry (DXA) to determine skeletal muscle mass index SMI to measure muscle mass, grip strength test to measure muscle strength, gait speed or tools such as SPPB scores to assess physical performance. A diagnosis of sarcopenia can be made when a subject experiences a decrease in SMI combined with a decrease in grip strength or a decrease in gait speed. In the field of medical imaging, researchers have been working to explore and validate appropriate imaging tools and markers to diagnose and evaluate sarcopenia. The common methods for deep mining of medical imaging include radiomics and machine learning, usually by analyzing the texture features of muscles at specific sites to quantify muscle function or segmenting skeletal muscles accurately in two dimensions or three dimensions to quantify muscle mass. Compared to computed tomography (CT) or magnetic resonance imaging (MRI), ultrasound is a more accessible and less costly medical imaging technique, especially in low- and middle-income regions. Ultrasound can be used to conveniently scan local muscles and obtain muscle characteristics such as muscle thickness, cross-sectional area, and pennation angle. Our previous studies have demonstrated that SMI in older adults can be accurately estimated by using muscle thickness at four sites together with basic information such as age and body mass index (BMI), and have found in cross-regional validation that the stability of estimates can be maintained across communities with very different ethnic proportions. However, several existing large studies on ultrasound in sarcopenia are currently focusing only on muscle morphological measurements, ignoring the large amount of hidden ultrasound image information. At the same time, the flexibility of the scanning process has led to greater resistance from radiomics or deep learning tools to use the images for artificial intelligence classification than CT or MRI. Fronted with such a dilemma, we attempted to establish an intelligent risk grading system for sarcopenia, based on multidimensional data including basic information such as age and BMI, ultrasound measurements, and original image content, to complete the risk grading of sarcopenia in older adults in a one-stop manner, so as to realize the rapid screening and classification of potential sarcopenia populations for further clinical management. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06199856
Study type Observational [Patient Registry]
Source West China Hospital
Contact Xinyi Tang, Dr.
Phone +8615680819215
Email tangxinyi1996@outlook.com
Status Recruiting
Phase
Start date October 1, 2020
Completion date December 2028

See also
  Status Clinical Trial Phase
Active, not recruiting NCT06287502 - Efficacy of Structured Exercise-Nutritional Intervention on Sarcopenia in Patients With Osteoporosis N/A
Recruiting NCT05063279 - RELIEF - Resistance Training for Life N/A
Completed NCT03644030 - Phase Angle, Lean Body Mass Index and Tissue Edema and Immediate Outcome of Cardiac Surgery Patients
Recruiting NCT06143592 - Inspiratory Muscle Training on Balance, Falls and Diaphragm Thickness in the Elderly N/A
Terminated NCT04350762 - Nutritional Supplementation in the Elderly With Weight Loss N/A
Enrolling by invitation NCT05953116 - Managing the Nutritional Needs of Older Filipino With Due Attention to Protein Nutrition and Functional Health Study N/A
Recruiting NCT04028206 - Resistance Exercise or Vibration With HMB for Sarcopenia N/A
Enrolling by invitation NCT03297632 - Improving Muscle Strength, Mass and Physical Function in Older Adults N/A
Completed NCT04015479 - Peanut Protein Supplementation to Augment Muscle Growth and Improve Markers of Muscle Quality and Health in Older Adults N/A
Completed NCT03234920 - Beta-Hydroxy-Beta-Methylbutyrate (HMB) Supplementation After Liver Transplantation N/A
Recruiting NCT03998202 - Myopenia and Mechanisms of Chemotherapy Toxicity in Older Adults With Colorectal Cancer
Recruiting NCT04717869 - Identifying Modifiable PAtient Centered Therapeutics (IMPACT) Frailty
Completed NCT05497687 - Strength-building Lifestyle-integrated Intervention N/A
Completed NCT03119610 - The Physiologic Effects of Intranasal Oxytocin on Sarcopenic Obesity Phase 1/Phase 2
Recruiting NCT05711095 - The Anabolic Properties of Fortified Plant-based Protein in Older People N/A
Recruiting NCT05008770 - Trial in Elderly With Musculoskeletal Problems Due to Underlying Sarcopenia - Faeces to Unravel Gut and Inflammation Translationally
Not yet recruiting NCT05860556 - Sustainable Eating Pattern to Limit Malnutrition in Older Adults
Recruiting NCT04522609 - Electrostimulation of Skeletal Muscles in Patients Listed for a Heart Transplant N/A
Recruiting NCT04545268 - Prehabilitation for Cardiac Surgery in Patients With Reduced Exercise Tolerance N/A
Recruiting NCT03160326 - The QUALITY Vets Project: Muscle Quality and Kidney Disease