Artificial Intelligence-Assisted Advanced Analysis of Knee Imaging and Outcome Prediction
A legfontosabb adatok
- Ki végzi
- National Taiwan University Hospital
- Hol
- Taipei (Tajvan)A helyszín megnézése
- Azonosító
- Állapot
- Toboroz
- Résztvevők
- 310 fő, tervezett
- Kezdés
- 2026. júl. 1.
- Várható befejezés
- 2029. dec. 31.
- A vizsgálat típusa
- Megfigyeléses
- A vizsgált kezelések
- artificial intelligence-assisted advanced analysis
- A regiszteradat frissítve
- 2026. július 22.
Ki vehet részt
MI-összefoglaló
A vizsgálat saját részvételi feltételeiből. Gép olvasta ki az oldalon álló regiszterszövegből, ezért tévedhet. Hogy ki vehet részt, azt a lenti regiszterszöveg és a vizsgálat csapata dönti el.
The trial is looking for adults in three groups: healthy adults with no knee pain, people with knee osteoarthritis, and people with knee osteoarthritis who will get ultrasound-guided knee injections.
- Életkor
- 18 years and older
- Nem
- All sexes
- A betegség stádiuma
- Healthy group: no pain in either knee for at least 6 months, able to walk without walking aids. Osteoarthritis groups: knee osteoarthritis seen on X-ray (Kellgren-Lawrence grade ≥2 or bone spurs called osteophytes), knee pain in the past year, and records of knee pain, soreness or stiffness within 1 month before joining.
- Korábbi kezelés
- Healthy group: no knee injection in the past 6 months. Osteoarthritis groups: no steroid injection into the knee joint in the past 3 months. No one can have had knee surgery. The injection group must be willing to have ultrasound-guided injection therapy and attend follow-up visits.
A részvétel fő kizáró okai
- Previous knee surgery
- Major knee injury, including fracture, or a torn cruciate ligament
- Rheumatic or autoimmune disease, such as rheumatoid arthritis or ankylosing spondylitis
- Cancer (osteoarthritis groups)
- Recent knee injection: within 6 months (healthy group) or a steroid injection within 3 months (osteoarthritis groups)
A regiszter feltételei, szó szerint
Mind a 38 feltétel megnézéseKevesebb
Ki vehet részt
- Clinical diagnosis of healthy adult without major systemic disease
- Age ≥18 years
- Able to understand and follow study instructions
- Ambulatory without walking aids
- No pain in either knee for at least 6 months before enrollment
- Clinical diagnosis of radiographic knee osteoarthritis
- Age ≥18 years
- Knee pain in at least one knee during the preceding year
- Medical records confirming knee pain, soreness, or stiffness within 1 month before enrollment
- Radiographic evidence of knee osteoarthritis, defined by at least one of the following:
- Kellgren-Lawrence grade ≥2 on anteroposterior radiographs
- Kellgren-Lawrence grade ≥2 on skyline (patellofemoral) radiographs
- Superior or inferior patellar osteophytes or posterior tibial osteophytes on lateral radiographs
- Clinical diagnosis of radiographic knee osteoarthritis requiring ultrasound-guided injection therapy
- Age ≥18 years
- Knee pain in at least one knee during the preceding year
- Medical records confirming knee pain, soreness, or stiffness within 1 month before enrollment
- Radiographic evidence of knee osteoarthritis, defined by at least one of the following:
- Kellgren-Lawrence grade ≥2 on anteroposterior radiographs
- Kellgren-Lawrence grade ≥2 on skyline (patellofemoral) radiographs
- Superior or inferior patellar osteophytes or posterior tibial osteophytes on lateral radiographs
- Willingness to undergo ultrasound-guided injection therapy and complete scheduled follow-up assessments
Ki nem vehet részt
- Previous knee surgery
- Previous major knee trauma (including fracture)
- Previous knee surgery
- Intra-articular corticosteroid injection within the preceding 3 months; Objective 3: Development of an AI-Assisted Predictive Model for Injection Treatment Outcomes
- Previous major knee trauma (including fracture)
- Previous knee surgery
- Intra-articular corticosteroid injection within the preceding 3 months
- Rheumatic or autoimmune disease; Objective 2: Development of an AI-Based Model for the Identification of Pathological Knee Structures
- Systemic rheumatic disease (e.g., rheumatoid arthritis or ankylosing spondylitis)
- Malignancy
- Systemic rheumatic disease (e.g., rheumatoid arthritis or ankylosing spondylitis)
- Malignancy
- Rupture of one or more cruciate ligaments
- Knee injection within the preceding 6 months
- Major trauma involving the knee or periarticular region
Egyéb feltételek
- Objective 1: Development of an AI-Based Normative Model for the Healthy Knee
Helyszínek itt: Tajvan
- National Taiwan University Hospital Beihu BranchTaipei, TajvanContact: Wei-Ting Wu, MDRésztvevőt keres
A vizsgálatról
Mit akar kideríteni a vizsgálat
This study aims to develop and validate an artificial intelligence (AI)-assisted platform for musculoskeletal knee ultrasonography and to establish an interpretable prediction model for clinical outcomes following ultrasound-guided injection therapies in patients with degenerative knee disorders. The project seeks to improve the standardization, reproducibility, and clinical utility of knee ultrasound by reducing operator dependency and providing quantitative image analysis and outcome prediction.
A teljes eredeti leírásKevesebb
The study will be conducted in three phases. First, an AI foundation model for knee ultrasonography will be developed using standardized image acquisition protocols to enable automated localization, segmentation, and quantitative assessment of major anatomical structures, including tendons, ligaments, cartilage, fat pads, and peripheral nerves. Second, supervised machine learning models will be trained to classify normal and pathological ultrasound findings, including common degenerative and inflammatory abnormalities affecting the knee. Third, retrospective and prospective clinical data from approximately 150 patients receiving ultrasound-guided injection therapies will be integrated to develop and validate a predictive model for treatment outcomes using imaging biomarkers and clinical variables. Treatment response will be evaluated using validated patient-reported outcome measures, and explainable AI methods will be applied to improve model interpretability.
The anticipated outcome of this study is the development of a comprehensive AI-assisted knee ultrasound platform that supports standardized image interpretation, quantitative assessment of musculoskeletal pathology, and personalized prediction of treatment response to ultrasound-guided injection therapies in degenerative knee disorders.
A vizsgált kezelések
- artificial intelligence-assisted advanced analysis
Kérdések a vizsgálat csapatának
- Milyen gyakran kell bejárnom, és egy-egy alkalom mennyi ideig tart?
- Megtérítik az utazási költséget?
- Megtarthatom a saját orvosomat?
- Mi történik, ha ki akarok lépni?
Contact the study team: see the registry record → Contacts and Locations
Oldal nyomtatása az orvosomnakAdatok és források
- Regiszteradat
- Szerepel a ClinicalTrials.gov-on.
- Hivatalos cím
- Artificial Intelligence-Assisted Advanced Analysis of Knee Imaging and Outcome Prediction for Ultrasound-Guided Injections
- MI-összefoglaló
- A vizsgálat saját részvételi feltételeiből. Gépi kiolvasás: 2026. november 14.
- A regiszteradat frissítve
- 2026. július 22.