Assessment of quantitative [18F]Sodium fluoride PET measures of knee subchondral bone perfusion and mineralization in osteoarthritic and healthy subjects

Watkins, Lauren; Mackay, James; Haddock, Bryan; Mazzoli, Valentina; Uhlrich, Scott D.; Gold, Garry E.; Kogan, Feliks

doi:10.1016/j.joca.2021.02.563

Cited by 29 publications

(33 citation statements)

References 46 publications

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“…[18F] NaF uptake is predominantly concentrated at areas of newly mineralizing bone, where hydroxyl ions is interchanged with fluoride ions in newly formed hydroxyapaptite crystals on the surface of bone. 10 In our cases we found intense uptake in some regions without any structural abnormalities which was also observed by Kogan et al 11 This symbolizes that metabolic abnormalities that looked to be normal on MRI can be detected with the help of PET/MRI. The pattern of tracer uptake in BML was grade 3-2 > grade 1.…”

Section: Discussion-supporting

confidence: 88%

18F–NaF simultaneous PET/MRI in osteoarthritis: Initial observations with case illustration

Jena

Goyal

Vaishya

2021

Journal of Clinical Orthopaedics and Trauma

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Osteoarthritis (OA) is a debilitating disease generally of old age manifested as degeneration of articular cartilage. With no definitive treatment available, ongoing research aims at early detection and use specific noninvasive imaging markers to monitor therapeutic efficacy of disease modifying osteoarthritic drug (DMOAD) to reverse or/and arrest the disease process. Articular cartilage degradation and loss, as well as bone remodelling, are typical biomarkers of OA. As a result, an ideal imaging technique for early detection of OA is required, which must be sensitive to both soft tissue and bone health. PET/MRI is emerging as an imaging tool which can be used to study the underlying pathogenesis of OA as it enables us to assess molecular activity with PET markers while also linking them to qualitative and quantitative MRI indices of OA. In this regard recent work was exploring the role of 18FeNa Fluoride which is a marker of bone remodelling together with MRI in early detection of OA on simultaneous PET/MRI. In this article we intend to present different patterns of OA (mild to severe stages of OA) that we had observed on 18F-Sodium Fluoride (18FeNaF) PET/MRI.

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Section: Discussion-supporting

confidence: 88%

18F–NaF simultaneous PET/MRI in osteoarthritis: Initial observations with case illustration

Jena

Goyal

Vaishya

2021

Journal of Clinical Orthopaedics and Trauma

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“…It would be costly if a patient was subjected to multiple imaging techniques for a thorough diagnosis. Hence, researchers worked intensively on exploring hybrid imaging techniques that could combine the pros of different imaging systems [31][32][33].…”

Section: Potentials and Limitationsmentioning

confidence: 99%

Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches

Teoh

Lai

Usman

et al. 2022

Journal of Healthcare Engineering

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Knee osteoarthritis (OA) is a deliberating joint disorder characterized by cartilage loss that can be captured by imaging modalities and translated into imaging features. Observing imaging features is a well-known objective assessment for knee OA disorder. However, the variety of imaging features is rarely discussed. This study reviews knee OA imaging features with respect to different imaging modalities for traditional OA diagnosis and updates recent image-based machine learning approaches for knee OA diagnosis and prognosis. Although most studies recognized X-ray as standard imaging option for knee OA diagnosis, the imaging features are limited to bony changes and less sensitive to short-term OA changes. Researchers have recommended the usage of MRI to study the hidden OA-related radiomic features in soft tissues and bony structures. Furthermore, ultrasound imaging features should be explored to make it more feasible for point-of-care diagnosis. Traditional knee OA diagnosis mainly relies on manual interpretation of medical images based on the Kellgren–Lawrence (KL) grading scheme, but this approach is consistently prone to human resource and time constraints and less effective for OA prevention. Recent studies revealed the capability of machine learning approaches in automating knee OA diagnosis and prognosis, through three major tasks: knee joint localization (detection and segmentation), classification of OA severity, and prediction of disease progression. AI-aided diagnostic models improved the quality of knee OA diagnosis significantly in terms of time taken, reproducibility, and accuracy. Prognostic ability was demonstrated by several prediction models in terms of estimating possible OA onset, OA deterioration, progressive pain, progressive structural change, progressive structural change with pain, and time to total knee replacement (TKR) incidence. Despite research gaps, machine learning techniques still manifest huge potential to work on demanding tasks such as early knee OA detection and estimation of future disease events, as well as fundamental tasks such as discovering the new imaging features and establishment of novel OA status measure. Continuous machine learning model enhancement may favour the discovery of new OA treatment in future.

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“…J o u r n a l P r e -p r o o f 12 Changes in bone are part of the OA disease process. Recent studies have investigated the role of bone shape [19][20][21][22][23][24] , subchondral bone structure and texture [25][26][27][28] , and bone morphology in OA [29][30][31] as well as the interplay between subchondral bone changes and articular cartilage damage 32,33 .…”

Section: Imaging Of Bone Cartilage and Bone-cartilage Interactions In Oamentioning

confidence: 99%

“…The hybrid imaging modality PET/MRI integrates anatomical and structural information from MRI with functional information from PET. In a study by Watkins et al, PET/MRI was used to evaluate mechanisms of sodium fluoride uptake in subchondral bone of knee without and with OA 33 . The results indicated that bone metabolism is altered in OA subjects as compared to healthy subjects.…”

Section: Imaging Of Bone Cartilage and Bone-cartilage Interactions In Oamentioning

confidence: 99%

Osteoarthritis year in review 2021: imaging

Oei

Hirvasniemi

Zadelhoff

et al. 2022

Osteoarthritis and Cartilage

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Assessment of quantitative [18F]Sodium fluoride PET measures of knee subchondral bone perfusion and mineralization in osteoarthritic and healthy subjects

Cited by 29 publications

References 46 publications

18F–NaF simultaneous PET/MRI in osteoarthritis: Initial observations with case illustration

18F–NaF simultaneous PET/MRI in osteoarthritis: Initial observations with case illustration

Discovering Knee Osteoarthritis Imaging Features for Diagnosis and Prognosis: Review of Manual Imaging Grading and Machine Learning Approaches

Osteoarthritis year in review 2021: imaging

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