- ICH GCP
- Registr klinických studií v USA
- Klinická studie NCT07625150
FDG PET/MRI Imaging of Patellofemoral Joint Osteoarthritis (FDG-PFJOA)
Understanding Painful Inflammation in Patellofemoral Joint OA Using [18F] FDG
Přehled studie
Postavení
Detailní popis
Background:
Imaging of pain from patellofemoral joint osteoarthritis (PFJ OA): PFJ OA is primarily defined as the degeneration of the cartilage of the PFJ; however, the cartilage itself is not innervated and thus cannot be a source of pain. The knee joint is composed of a variety of other innervated tissues, including the synovium, subchondral bone, meniscus, ligaments, tendons, muscles, and infrapatellar fat pad. The degeneration of the patella cartilage may result from or even result in some form of damage to these innervated joint tissues, which eventually leads to the sensation of pain. The main challenge in imaging identification of pain generators in PFJ OA is that structural abnormalities that can cause pain also frequently occur in the asymptomatic population as a natural wear-and-tear process with aging. For example, meniscal tears on MRI are nearly equally prevalent (~60%) in symptomatic and asymptomatic knees. The proposed approach here is to adopt [18F]FDG PET/MRI, a molecular imaging technique highly sensitive to hypermetabolic inflammation. Pain in PFJ OA may stem from inflammatory responses to tissue damage, leading to the increased activities of immune cells causing the local surge of need for energy. [18F]FDG PET is the most widely accepted imaging modality for identifying pathology by visualizing hotspots of energy demand and has recently shown strong promise in detecting painful hypermetabolic inflammation in multiple musculoskeletal pain conditions. Therefore, the proposed implementation of [18F]FDG PET/MRI for PFJ OA will facilitate pinpointing hypermetabolic pain generators that conventional structural imaging techniques have failed to identify.
Loading of PFJ OA: The magnitude and distribution of loads across a joint have the potential to accelerate structural OA decline and result in pain. While biomechanical factors are known to influence the progression of TFJ OA, little is known about the role of biomechanical factors in PFJOA disease progression. These factors are likely to differ from those for TFJ OA progression as a result of the unique functions and design of the different joints. The investigative team has extensive experience in the field of biomechanics and OA. Elevated PFJ stress during squatting was demonstrated in people with patellofemoral pain, a condition affecting younger adults with similar features to PFJ OA. Preliminary work by the investigators confirmed higher PFJ stress during walking in individuals with PFJ OA compared to controls. These data suggest that elevated PFJ stress is likely a contributory factor in PFJ OA. Increased knee extensor moments can result in higher PFJ reaction forces and PFJ stress at a given knee angle and thus may be a potential risk factor for PFJ OA progression. Preliminary work by the investigators showed that higher knee extensor moment during late stance was predictive of structural progression of PFJ OA at one-year follow-up. The current supplement will support further investigation in single-leg squat biomechanics in persons with painful PFJ OA and asymptomatic matched controls. These data are necessary to understand the impact of loading and squat kinematics on pain, leading to novel movement-based interventions for pain management.
AIMS:
Aim 1: Identification of painful inflammation in the unloaded knee with PFJ OA The investigators will 1) compare [18F]FDG uptake measurements of the unloaded knee between symptomatic PFJ OA knees and asymptomatic knees and 2) analyze the correlation between [18F]FDG and biomechanical measurements. The investigators will recruit 25 PFJ OA patients with pain reproducible with a weight-bearing exercise (single-leg squats) and 25 age/sex/BMI-matched asymptomatic controls. The [18F]FDG PET/MRI session of the unloaded knee will yield the max measurements of [18F]FDG standardized uptake value (SUV) in the local hotspots. All subjects will have a post-imaging functional assessment through a battery of physical performance tests for biomechanical measurements. The investigators will compare the [18F]FDG uptake measurements between patients and controls using the t-test and conduct a generalized linear model (GLM) analysis to determine the biomechanical measurements predicting the [18F]FDG uptake measurements.
Aim 2: Identification of painful inflammation in the loaded knee with PFJ OA The investigators will identify abnormal [18F]FDG hotspots in the PFJ of the patients due to knee loading by comparison with asymptomatic controls. After the [18F]FDG PET/MRI session in Aim 1, the participant will be re-scanned using the same PET/MRI protocol while loading the knee continuously with 25% bodyweight using a custom-made device. The investigators will measure the difference of the [18F]FDG SUVmax between the unloaded and loaded sessions in the synovium, femur, tibia, meniscus, fat pad, and muscle around the PFJ. [18F]FDG uptake difference will be compared between PFJ OA patients and asymptomatic controls using the t-test and GLM analysis to determine biomechanical measurements prediction of [18F]FDG uptake difference.
The successful execution of the proposed aims will offer a novel, non-invasive imaging method to identify the painful inflammation in PFJ OA as well as increased inflammatory response due to joint loading, which will eventually aggravate the pain. Together with the ongoing development in the parent R01 project to visualize bone remodeling and cartilage compositional changes, this project will facilitate building a comprehensive imaging method to examine the underlying degenerative process and the symptomatic manifestation of PFJ OA.
Typ studie
Zápis (Odhadovaný)
Kontakty a umístění
Studijní kontakt
- Jméno: Eric Hammond
- Telefonní číslo: 415-502-6470
- E-mail: eric.hammond@ucsf.edu
Studijní místa
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California
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San Francisco, California, Spojené státy, 94107
- Nábor
- UCSF Radiology China Basin
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Kontakt:
- Eric Hammond
- Telefonní číslo: 415-502-6470
- E-mail: eric.hammond@ucsf.edu
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-
Kritéria účasti
Kritéria způsobilosti
Věk způsobilý ke studiu
- Dospělý
- Starší dospělý
Přijímá zdravé dobrovolníky
Metoda odběru vzorků
Studijní populace
Popis
Inclusion Criteria:
- Adult with the capacity to give informed consent
- Ability to perform 25 single-leg squats
- No traumatic knee injuries/surgeries since last visit for the parent study (IRB #21-34763)
- No investigational drugs since last visit for the parent study (IRB #21-34763)
- No contraindications to MRI or PET tracer since last visit for the parent study (IRB #21-34763)
- Not taking steroid injections
- Not pregnant
- Additional inclusion criteria for healthy volunteers: Minimal pain (VAS=0-1) during a series of 25 single-leg squats on one or both legs
Exclusion Criteria:
- Inability to consent for themselves
- Inability to perform 25 single-leg squats with the study leg
- New traumatic knee injuries/surgeries since last visit for the parent study (IRB #21-34763)
- Taking investigational drugs since last visit for the parent study (IRB #21-34763)
- New contraindications to MRI or PET tracer since last visit for the parent study (IRB #21-34763)
- Taking steroid injections
- Pregnant
- Diabetic
- Additional exclusion criteria for healthy volunteers: VAS of 2 or greater during a series of 25 single-leg squats on both legs
Studijní plán
Jak je studie koncipována?
Detaily designu
Kohorty a intervence
Skupina / kohorta |
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PFJ OA Patients
Group defined as WORMS 2-6, and >1 VAS pain during 25 single-leg squats
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Healthy Controls
Healthy volunteers with WORMS 0-1, and 0-1 VAS pain during 25 single-leg squats
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Co je měření studie?
Primární výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
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Maximum Standardized Uptake Value (SUVmax) of [18F]FDG in PFJ Tissues, Pre-Loading
Časové okno: baseline, pre-loading
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Comparison of FDG SUVmax between PFJ OA patients and asymptomatic controls across various tissue types (synovium, femur, tibia, meniscus, fat pad, and muscles) to identify hypermetabolic inflammation at pre-loading.
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baseline, pre-loading
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Maximum Standardized Uptake Value (SUVmax) of [18F]FDG in PFJ Tissues, Post-Loading
Časové okno: baseline, post-loading
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Comparison of FDG SUVmax between PFJ OA patients and asymptomatic controls across various tissue types (synovium, femur, tibia, meniscus, fat pad, and muscles) to identify hypermetabolic inflammation at post-loading.
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baseline, post-loading
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Sekundární výstupní opatření
Měření výsledku |
Popis opatření |
Časové okno |
|---|---|---|
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Change in SUVmax Between Unloaded and Loaded States
Časové okno: baseline
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The difference in FDG SUVmax measurements between the loaded PFJ and the unloaded PFJ imaging sessions to determine sensitivity to loading-induced inflammation.
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baseline
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Visual Analog Scale Maximum Pain Score During a Single-Leg Squat
Časové okno: baseline
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Assessment of maximum pain levels during a single-leg squat.
Pain will be evaluated using a Visual Analog Scale, where scores range from 0 to 10, with 0 indicating "no pain" and 10 indicating "worst possible pain".
Higher scores represent a worse outcome.
Individual scores will be analyzed in relation to FDG uptake and loaded-unloaded uptake differences.
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baseline
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Spolupracovníci a vyšetřovatelé
Vyšetřovatelé
- Vrchní vyšetřovatel: Richard Souza, PhD, PT, University of California, San Francisco
Termíny studijních záznamů
Hlavní termíny studia
Začátek studia (Aktuální)
Primární dokončení (Odhadovaný)
Dokončení studie (Odhadovaný)
Termíny zápisu do studia
První předloženo
První předloženo, které splnilo kritéria kontroly kvality
První zveřejněno (Aktuální)
Aktualizace studijních záznamů
Poslední zveřejněná aktualizace (Aktuální)
Odeslaná poslední aktualizace, která splnila kritéria kontroly kvality
Naposledy ověřeno
Více informací
Termíny související s touto studií
Další relevantní podmínky MeSH
Další identifikační čísla studie
- K24AR072133 (Grant/smlouva NIH USA)
- 24-41266 (Jiný identifikátor: UCSF IRB)
Plán pro data jednotlivých účastníků (IPD)
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