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Precision medicine and personalized care in patients with rotator cuff disease: future perspectives and new frontiers using machine learning models

A multimodal machine learning approach for precision medicine and personalized care of patients with rotator cuff diseases

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN13188760
Enrollment
100
Registered
2023-11-24
Start date
2024-01-01
Completion date
Unknown
Last updated
2026-02-02

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

Conditions

Rotator cuff tears Musculoskeletal Diseases

Interventions

An experienced orthopedic surgeon will perform surgical procedures on all the enrolled patients after obtaining consent for the study participation. The arthroscopic RC repair will be performed by pla

Sponsors

Fondazione Policlinico Universitario Campus Bio-Medico
Lead Sponsor

Eligibility

Sex/Gender
All
Age
40 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Age 40-75 years 2. Rotator cuff tears documented with MRI 3. No surgical treatment to the affected shoulder before 4. No episodes of shoulder instability 5. No radiographic signs of fracture of the glenoid fossa or the greater or lesser tuberosity

Exclusion criteria

Exclusion criteria: 1. Frozen shoulder 2. Radiological osteoarthritis of the glenohumeral joint 3. Neurological disease or language barriers 4. Impossibility to undergo an MRI scan for any reason

Design outcomes

Primary

MeasureTime frame
Structural tendon integrity, as evidenced by MRI evaluations at 12 months after surgery

Secondary

MeasureTime frame
Measured before and after surgery: 1. Kinematic variables (such as range of motion, angular velocity) measured by kinematic analysis 2. Physical and subjective measures of the affected shoulder in terms of pain, activities of daily living (ADL), range of motion (ROM), and strength measured by the Constant-Murley score (CMS) 3. Patient self-reported and clinician scores about pain, ADL, ROM, signs, strength, and instability measured by the American Shoulder and Elbow Surgeons (ASES) score 4. Quality of life and mental health (such as physical and social functioning, general health perception limitations due to emotional aspects, vitality) measured by SF-36 5. The level of pain perceived by patients measured by visual analogue score (VAS)

Countries

Italy

Contacts

Public ContactUmile Giuseppe Longo
g.longo@policlinicocampus.it+39 (0)6225418816

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 7, 2026