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Research on Risk Prediction and Management Strategies of Hip Fractures in the Elderly Based on Artificial Intelligence Segmentation of Muscle Images

Research on Risk Prediction and Management Strategies of Hip Fractures in the Elderly Based on Artificial Intelligence Segmentation of Muscle Images

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600117260
Enrollment
Unknown
Registered
2026-01-21
Start date
2026-02-01
Completion date
Unknown
Last updated
2026-01-27

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

Conditions

hip fracture

Interventions

Part 2(Including samples of part1):None
Part 3:None

Sponsors

China-Japan Friendship Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
65 Years to No maximum

Inclusion criteria

Inclusion criteria: Part 1: ?Age = 65 years old, male or female not limited; ?Hip fracture caused by low-energy falls; ?Complete hip muscle CT scan within 24 hours before surgery (range: L3-L4 to knee joint); ?Koval Mobility Scale 1-4 (Community or Family Activity Ability). Part 2: ?Femoral intertrochanteric or femoral neck fractures caused by low-energy falls (standing or sitting height); ?Complete mobility before fracture. Part Three: ?Chinese adults who live in the community and have full mobility; ?Low energy hip fracture (caused by falling while standing or sitting).

Exclusion criteria

Exclusion criteria: Part 1: ? CT position not supine; ? Incomplete scanning range or presence of metal artifacts/noise interference. Part 2: ? History of pelvic fracture and hip surgery; ? Metastatic tumors and cerebrovascular diseases; ? Developmental/childhood hip diseases that affect hip anatomy. Part 3: ? Unable to sit, stand or walk independently; ? Diseases that affect mobility (stroke, neurological disorders, rheumatoid arthritis, heart failure, severe COPD, coagulation dysfunction).

Design outcomes

Primary

MeasureTime frame
all-cause mortality;

Countries

China

Contacts

Public ContactSi Fangda

China-Japan Friendship Hospital

Gabrielsii@163.com+86 10 8420 6191

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026