An Artificial Intelligence-based Approach in Total Knee Arthroplasty: From Inflammatory Responses to Personalized Medicine
AI-TKA
2 other identifiers
interventional
197
1 country
1
Brief Summary
Goal: The goal of this interventional study is to understand how multimodal preoperative data can predict outcomes after Total Knee Arthroplasty (TKA) and improve personalized medicine practices. Participant Population: The study will enroll 197 patients suffering from symptomatic, end-stage knee osteoarthritis, who are above 18 years old and have functionally intact ligaments. Main Questions:
- Can multimodal preoperative data, genetic predisposition, and psycho-behavioral characteristics predict outcomes after TKA?
- Can AI models effectively use this data to customize prostheses and surgical interventions, and predict patient outcomes? Comparison Group Information (If applicable): Not specified in the provided details. Participant Tasks:
- Undergo TKA as per the normal clinical routine.
- Participate in pre- and post-surgical follow-ups including:
- Clinical-functional assessments.
- Administration of clinical scores.
- Collection of biological samples.
- Biomechanical analysis using a stereophotogrammetric system.
- Provide data for the comprehensive multimodal indexed database.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable knee-osteoarthritis
Started Oct 2024
Longer than P75 for not_applicable knee-osteoarthritis
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 27, 2024
CompletedFirst Posted
Study publicly available on registry
October 10, 2024
CompletedStudy Start
First participant enrolled
October 14, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 1, 2029
March 4, 2026
February 1, 2026
1.6 years
September 27, 2024
March 2, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Change From Baseline in Knee Society Score (KSS) at 12 months
The KSS is a clinician-based assessment tool that evaluates both knee function and functional activities after knee replacement surgery. Minimum/Maximum Values: The KSS is divided into two parts: knee score and function score, with a combined score ranging from 0 to 100. Higher scores indicate a better outcome in terms of knee function and overall knee health.
Before surgery (Baseline) and at 12 months postoperatively
Change From Baseline in Oxford Knee Score (OKS) at 12 months
The OKS is used to assess pain and function in individuals undergoing knee surgery or experiencing knee osteoarthritis, focusing on the patient\'s perspective. Minimum/Maximum Values: The OKS ranges from 0 to 48. Higher scores represent a better outcome, with less pain and better joint function.
Before surgery (Baseline) and at 12 months postoperatively
Change From Baseline in Knee Injury and Osteoarthritis Outcome Score (KOOS) at 12 months
The KOOS is widely used to evaluate short- and long-term patient-reported outcomes following knee injury or surgery. Minimum/Maximum Values: The KOOS assesses five dimensions: pain, symptoms, function in daily living, function in sports/recreation, and knee-related quality of life. Each subscale ranges from 0 to 100. Higher scores reflect a better outcome, indicating fewer symptoms and better function.
Before surgery (Baseline) and at 12 months postoperatively
Change From Baseline in Forgotten Joint Score Short Form (FJS-12) at 12 months
The FJS-12 measures how much a patient is aware of their joint in daily activities, particularly after joint replacement surgery, with higher scores reflecting greater joint integration. Minimum/Maximum Values: The FJS-12 ranges from 0 to 100. High scores indicate good outcomes
Before surgery (Baseline) and at 12 months postoperatively
Secondary Outcomes (14)
Change From Baseline in Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) at 12 months
Before surgery (Baseline) and at 12 months postoperatively
Change from baseline in knee range of motion (ROM) at 12 months
Before surgery (Baseline) and at 12 months postoperatively
Change from baseline in ground reaction forces at 12 months
Before surgery (Baseline) and at 12 months postoperatively
Change from baseline in center of pressure (CoP) at 12 months
Before surgery (Baseline) and at 12 months postoperatively
Change from baseline in walking speed at 12 months
Before surgery (Baseline) and at 12 months postoperatively
- +9 more secondary outcomes
Study Arms (1)
Patients who undergo total total knee arthroplasty
EXPERIMENTALThe study population comprises 197 patients who require Total Knee Arthroplasty (TKA) due to symptomatic, end-stage knee osteoarthritis. Eligible participants are adults over the age of 18 years with functionally intact ligaments. Exclusion criteria include individuals with neurological or other conditions that affect their ability to participate in walking trials, those with inflammatory or infectious arthritis, previous significant knee surgeries such as articular fractures (excluding knee arthroscopy and meniscal surgery), and those with active tumors or who are pregnant. This population selection is aimed at assessing the efficacy of AI-integrated interventions in improving surgical outcomes and postoperative recovery in a homogeneous group affected by severe knee degeneration.
Interventions
Postoperative follow-up includes behavioral interventions, such as lifestyle counseling and rehabilitation programs, tailored based on AI-driven insights into individual patient recovery profiles.
Genetic screening and analysis, including whole exome sequencing, are conducted to identify genetic markers that might influence the outcomes of knee arthroplasty. This data is utilized within AI models to predict patient-specific surgical outcomes and recovery processes.
Total Knee Arthroplasty is performed using conventional surgical techniques.
Multifaceted diagnostic assessments involving genetic analysis, biomechanical data collection, radiographic imaging, and psychological evaluations.
Eligibility Criteria
You may qualify if:
- Symptomatic, end-stage knee osteoarthritis
- Ligaments functionally intact
- Age: older than18 years old
You may not qualify if:
- Neurological or other conditions affecting patients ability to join walking trials
- Inflammatory or infectious arthritis
- Previous articular fracture or knee surgery (excluding knee arthroscopy and meniscal surgery)
- Active tumors or pregnancy.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fondazione Policlinico Universitario Campus Bio-Medico
Rome, Italy, 00128, Italy
Related Publications (1)
Spallone G, Mancini L, Carnevale A, Campi S, Schena E, D'Hooghe P, Hirschmann MT, Papalia R, Longo UG. Joint modeling and marker set selection significantly influence functional biomechanics in end-stage knee osteoarthritis: evidence from the sit-to-stand task. Front Bioeng Biotechnol. 2025 Oct 13;13:1677244. doi: 10.3389/fbioe.2025.1677244. eCollection 2025.
PMID: 41158195DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
September 27, 2024
First Posted
October 10, 2024
Study Start
October 14, 2024
Primary Completion (Estimated)
June 1, 2026
Study Completion (Estimated)
December 1, 2029
Last Updated
March 4, 2026
Record last verified: 2026-02
Data Sharing
- IPD Sharing
- Will share
The ownership of the data is of the promoter and shared with the investigators and will be managed according to the agreements between the participating institutions and with the researchers. Data Property belongs to Fondazione Policlinico Universitario Campus Bio-Medico. The personnel involved in this study will have access to all data. In agreement with the ICH-GCP, the principal investigator of the study agrees to produce a report on the study, share all the data collected as described in the Protocol, and ensure that the data are reported responsibly and consistently. The transmission or dissemination of data through scientific publications and/or presentations in congresses, conferences, seminars, and participation in multicenter studies will take place exclusively following a purely statistical processing of the same, or in any case, in an anonymous form.