Imaging in Osteoarthritis

Roemer, Frank W.; Guermazi, Ali; Demehri, Shadpour; Wirth, W.; Kijowski, Richard

doi:10.1016/j.joca.2021.04.018

Cited by 41 publications

(39 citation statements)

References 150 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Ancak patellofemoral eklem gibi yüzeyel kıkırdak yapıların değerlendirmesinde uygun hastalarda yararlı olabilir. [7,11] Ultrasonografi izlenebilen kıkırdak ve diğer intraartiküler yapıları değerlen-Tablo 1. Kellgren ve Lawrence derecelendirme sistemi [6] Derece 0 Normal…”

Section: Ultrasonografiunclassified

“…Subkondral kemik değişikliklerinin yanında kondrokalsinozis gibi yumuşak doku mineralizasyonu durumlarını değerlendirmede etkilidir. [11] Son dönemde dual enerji BT uygulamalarıyla farklı elemantal içeriği olan ancak yakın dansitelerde yapıları ayırdetmede yararlı olduğu da gösterilmiştir. Bu anlamda özellikle kristal depo hastalıklarının ayırıcı tanısında faydalı olabilir.…”

Section: (A) (B)unclassified

See 1 more Smart Citation

Cartilage imaging methods

Taşdelen¹,

Görmez²

2023

TOTBİD Dergisi

View full text Add to dashboard Cite

Osteoartrit (OA) prevalansı, popülasyonda beklenen yaşam süresinin uzaması ve artan obezite nedeniyle gittikçe artmaktadır. Mevcut klinik ve epidemiyolojik metotlarda altın standart görüntüleme, direkt grafiye dayanmaktadır. Ancak, bu alana yönelik olarak farklı cerrahi ve farmakolojik tedavi metotlarının ortaya çıkışı kıkırdağın noninvaziv olarak direkt görüntülemesinin önemini gittikçe arttırmıştır. Son yıllarda, manyetik rezonans görüntülemedeki gelişmelerle elde edilen yüksek çözünürlüklü görüntüler sayesinde morfolojik değerlendirme çok daha yüksek kalitede yapılabilmektedir. Elde edilen verilerin yarı-kantitatif skorlama metotlarıyla değerlendirilmesi hem hastalığın patofizyolojisini ve doğal seyrini anlamada yardımcı olmakta hem de hastaların tedavi takibinde kolaylık sağlamaktadır. Son dönemde, yeni geliştirmeye başlanan kompozisyonel metotlar (T2 haritalama, T1 rho ve delayed gadolinium enhanced MRI of cartilage "dGEMRIC" vs) kıkırdağın fizyolojik içeriğini noninvaziv şekilde değerlendirilebilmektedir. Bu veriler özellikle kıkırdak dejenerasyonunu çok erken dönemde ortaya koyabilmekte; yeni tedavi yöntemlerini, ilaçların etkinliğini değerlendirmede ve geliştirmede yardımcı olmaktadır. Bu derlemede, kıkırdak yapısı, yaralanma tipleri veya dejenerasyon sonucu ortaya çıkan değişiklikler anlatılacak ve bunları görüntülemede kullanılan radyolojik metotlardan, son dönemde ortaya konan gelişmelerle birlikte bahsedilecektir.

show abstract

Section: Ultrasonografiunclassified

Section: (A) (B)unclassified

Cartilage imaging methods

Taşdelen¹,

Görmez²

2023

TOTBİD Dergisi

View full text Add to dashboard Cite

show abstract

“…Structural changes of osteoarthritis have traditionally been assessed by radiography; however, imaging is not needed for clinical diagnosis of osteoarthritis [7,9,11]. Clinical criteria for diagnosis of idiopathic OA of the knee include age more than 50 years, morning stiffness less than 30 min, crepitus on active motion, bony enlargement, bony tenderness and absence of palpable warmth [12].…”

Section: Radiographymentioning

confidence: 99%

“…1a,b) and differentiation of grade 2 and 3 is based on absence or presence of joint space narrowing. Kellgren and Lawrence scoring system suffers from the limitations because it is based on a composite assessment of osteophyte and JSW and incorrectly assumes that osteoarthritis structural changes occur in a continuous fashion [9]. In contrast, Osteoarthritis Research Society International (OARSI) classification atlas assesses JSW and osteophytes separately in each compartment of the knee [15,16].…”

Section: Radiographymentioning

confidence: 99%

Advances in osteoarthritis imaging

Chalian

Roemer

Guermazi

2022

Current Opinion in Rheumatology

View full text Add to dashboard Cite

Purpose of reviewImaging plays a pivotal role for diagnosis, follow-up and stratification of osteoarthritis patients in clinical trials and research. We aim to present an overview of currently available and emerging imaging techniques for osteoarthritis assessment and provide insight into relevant benefits and pitfalls of the different modalities. Recent findingsAlthough radiography is considered sufficient for a structural diagnosis of osteoarthritis and is commonly used to define eligibility of patients for participation in clinical trials, it has inherent limitations based on the projectional nature of the technique and inherent challenges regarding reproducibility in longitudinal assessment. MRI has changed our understanding of the disease from wear and tear of cartilage to a whole organ disorder. MRI assessment of structural changes of osteoarthritis includes semi-quantitative, quantitative and compositional evaluation. Ultrasound is helpful in evaluating the degree of synovitis and has value in the assessment particularly of the patella-femoral joint. Recent development of computed tomography technology including weight-bearing systems has led to broader application of this technology in a research context. Summary Advances in MRI technology have resulted in a significant improvement in understanding osteoarthritis as a multitissue disease Keywords cartilage, compositional MRI, osteoarthritis, radiography, ultrasound && ]. Application of advanced imaging methods in large epidemiologic studies such as the Osteoarthritis Initiative (OAI, https://nda.nih.gov/oai/) and the Multicenter Osteoarthritis Study (MOST, https://most.ucsf.edu/) have added to our understanding of the natural course of

show abstract

“…However, a two-dimensional (2D) plain radiograph is a projection of a three-dimensional (3D) structure, which lacks information on other joint structures involved in the disease progression. Compared to radiography, magnetic resonance imaging (MRI) is considered the optimal imaging modality for OA assessment due to its ability to produce a 3D structure and simultaneously image other tissues such as the cartilage, subchondral bone, and menisci [ 14 ]. Several magnetic resonance (MR) semi-quantitative scoring systems or quantitative methods of subchondral bone microstructure analysis have also been attempted, including trabecular morphological parameters, topological parameters, and texture analysis [ 15 – 17 ].…”

Section: Introductionmentioning

confidence: 99%

Radiomics analysis using MR imaging of subchondral bone for identification of knee osteoarthritis

et al. 2022

View full text Add to dashboard Cite

Background To develop a magnetic resonance imaging (MRI)-based radiomics predictive model for the identification of knee osteoarthritis (OA), based on the tibial and femoral subchondral bone, and compare with the trabecular structural parameter-based model. Methods Eighty-eight consecutive knees were scanned with 3T MRI and scored using MRI osteoarthritis Knee Scores (MOAKS), in which 56 knees were diagnosed to have OA. The modality of sagittal three-dimensional balanced fast-field echo sequence (3D BFFE) was used to image the subchondral bone. Four trabecular structural parameters (bone volume fraction [BV/TV], trabecular thickness [Tb.Th], trabecular separation [Tb.Sp], and trabecular number) and 93 radiomics features were extracted from four regions of the lateral and medial aspects of the femur condyle and tibial plateau. Least absolute shrinkage and selection operator (LASSO) was used for feature selection. Machine learning-based support vector machine models were constructed to identify knee OA. The performance of the models was assessed by area under the curve (AUC) of the receiver operator characteristic (ROC). The correlation between radiomics features and trabecular structural parameters was analyzed using Pearson’s correlation coefficient. Results Our radiomics-based classification model achieved the AUC score of 0.961 (95% confidence interval [CI], 0.912–1.000) when distinguishing between normal and knee OA, which was higher than that of the trabecular parameter-based model (AUC, 0.873; 95% CI, 0.788–0.957). The first-order, texture, and Laplacian of Gaussian-based radiomics features correlated positively with Tb.Th and BV/TV, but negatively with Tb.Sp (P < 0.05). Conclusions Our results suggested that our MRI-based radiomics models can be used as biomarkers for the classification of OA and are superior to the conventional structural parameter-based model.

show abstract

Imaging in Osteoarthritis

Cited by 41 publications

References 150 publications

Cartilage imaging methods

Cartilage imaging methods

Advances in osteoarthritis imaging

Radiomics analysis using MR imaging of subchondral bone for identification of knee osteoarthritis

Contact Info

Product

Resources

About