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Enregistrement W4411431338 · doi:10.1016/j.ard.2025.05.242

OP0231 DEFINING SONOGRAPHIC ENTHESITIS IN PSORIATIC ARTHRITIS: DEVELOPING A DATA- AND EXPERT-DRIVEN DIAGNOSTIC CRITERIA FOR INFLAMMATORY ENTHESITIS AT THE SINGLE ENTHESIS LEVEL

2025· article· en· W4411431338 sur OpenAlexaff
André Lucas Ribeiro, Sibel Zehra Aydın, Gurjit S. Kaeley, Fahmeen Afgani, Catherine Bakewell, Marcos Rosemffet, Minna J. Kohler, Amir Haddad, Maria Stoenoiu, Ari Polachek, Josefina Marín, Anne Katz, Sahil Koppikar, Lihi Eder

Notice bibliographique

RevueAnnals of the Rheumatic Diseases · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueSpondyloarthritis Studies and Treatments
Établissements canadiensWomen's College HospitalUniversity of TorontoUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésEnthesitisMedicineEnthesisPsoriatic arthritisDermatologySpondyloarthropathyArthritisPsoriasisPathologyImmunology

Résumé

récupéré en direct d'OpenAlex

Background: Enthesitis occurs in 30-40% of psoriatic arthritis (PsA) patients, yet its clinical diagnosis is challenging due to similarities to non-specific entheseal pain. Despite OMERACT's standardization of ultrasound (US) entheseal lesions, a unified definition for inflammatory enthesitis remains vague. These limitations lead to misclassification and, eventually, to overtreatment, underscoring the need for refined diagnostic criteria. Objectives: This study aims to develop data- and expert-driven diagnostic criteria to distinguish inflammatory enthesitis from non-specific sonographic enthesopathy at the single enthesis level. The refinement of diagnostic criteria aims to enhance specificity, thereby reducing overdiagnosis and overtreatment. Methods: An expert panel of 10 sonographers who participated in the Diagnostic Ultrasound Enthesitis Tool (DUET) study reviewed 90 US scans (video clips) of PsA patients representing various severities of entheseal lesions across six sites. Scans were rated on a scale from -10 (definite "No") to +10 (definite "Yes") for the likelihood of enthesitis. Scans rated with ≥ 70% certainty (+7 or higher) by ≥ 70% of readers were classified as "Definite enthesitis". Sonographers also documented the sonographic features influencing their ratings for qualitative analysis. The quantitative analysis used consensus scoring of elementary lesions from the DUET study. Descriptive statistics and Chi-square tests were used to report differences in elementary lesions across categories. Results: Of the 90 scans, 29 (32.2%) were classified as "Definite enthesitis", 21 (23.3%) as "Definite not enthesitis", and 40 (44.5%) had no consensus ("Uncertain"). The likelihood of a scan being classified as inflammatory enthesitis increased with the number of elementary lesions observed (Figure 1A-B). Specifically, 93% of the "Definite enthesitis" scans contained a combination of four or more elementary lesions, whereas the "Uncertain" group primarily displayed between two and four lesions per scan. In contrast, the majority of scans classified as "Definite not enthesitis" exhibited no elementary lesions or isolated findings such as enthesophytes. High-grade Doppler signals near the bone cortex were present in 97% of scans in the "Definite enthesitis" group. However, Doppler was also observed in 55% of "Uncertain" scans, suggesting that its severity and characteristics, including their proximity to the bone cortex and their combination with other elementary lesions, contributed to the diagnostic process. The DUET scoring of elementary lesions and Chi-Square significant differences are shown in Figure 2A-F, highlighting the differences of Hypoechogenicity, Thickening, and Power Doppler between "Definite enthesitis" and "Uncertain" groups. Qualitative analysis highlighted several patterns that were driving the differentiation of inflammatory enthesitis from non-specific enthesopathy. Isolated findings, such as small enthesophytes or minimal hypoechogenicity, were considered by the sonographers as nonspecific and frequently observed in non-inflammatory scenarios. These findings lacked diagnostic certainty unless integrated with other inflammatory or structural features. Structural lesions, such as cortical irregularities and large erosions, while not indicative of active inflammation, were viewed as reflecting prior inflammatory process. Specific Doppler characteristics, such as severity and proximity to bone cortex, in addition to combination with other elementary lesions, were very important for ascertaining a classification of inflammatory enthesitis. Certain enthesis locations, such as the tibial tuberosity and triceps, were more frequently associated with inflammatory enthesitis, especially when multiple structural and inflammatory findings were present. Additionally, the clinical context, including patient characteristics and disease history, was highlighted as essential for accurate interpretation of findings. Conclusion: Inflammatory enthesitis is strongly associated with the presence of ≥ 4 elementary lesions and moderate to high-grade Doppler signal. Isolated lesions lack diagnostic power unless combined with other inflammatory and structural lesions. The clinical context is paramount in classifying an enthesitis as inflammatory or mechanic. These findings, which will inform the development of a standard definition of inflammatory enthesitis for diagnostic purposes in PsA. REFERENCES: [1] Eder L, Aydin S, Kaeley G. The Reliability of Scoring Sonographic Entheseal Abnormalities – the Diagnostic Ultrasound Enthesitis Tool (DUET) Study [abstract]. Arthritis Rheumatol. 2020; 72 (suppl 10). Figure 2The distribution of DUET scores by disease category; 1A. hypoechogenicity (score 0-1); 1B. Enthesophyte (score 0-3); 1C. Thickening (score 0-1); 1D. Calcification (score 0-3); 1E. Erosion (score 0-1); Power Doppler (score 0-3). Chi-Square test was performed to compare the "definite enthesitis" and "uncertain" groups (blue line), with p-value < 0.05 marked with a red asterisk (*) and a p-value < 0.01 marked with two red asterisks (**). Figure 1ANumber of elementary lesions identified in each category; 1B. The distribution of sonographic elementary lesions by category. Acknowledgements: NIL . Disclosure of Interests: Andre Lucas Ribeiro AbbVie and Johnson & Johnson, Sibel Aydin AbbVie, Eli Lilly, Novartis, Pfizer, and UCB, Clarius, AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Gurjit Kaeley AbbVie, BMS, Gilead, Janssen, Novartis, Fahmeen Afgani: None declared, Catherine Bakewell AbbVie, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, BMS, Eli Lilly, Janssen, Novartis, Pfizer, and UCB, Marcos Rosemffet: None declared, Minna Kohler Springer Publications, Janssen, Novartis, Setpoint Medical, Amir Haddad: None declared, Maria Simona Stoenoiu AbbVie, Janssen, Novartis, Pfizer, Roche, Sanofi, and UCB, AbbVie, Janssen, Novartis, Pfizer, Roche, Sanofi, and UCB, Ari Polachek: None declared, Josefina Marin: None declared, Arnon Katz: None declared, Sahil Koppikar AbbVie, Celltrion, Eli Lilly, Fresenius Kabi, JAMP, Janssen, Novartis, Pfizer, UCB, Sandoz, Lihi Eder Abbvie, UCB, Novartis, Pfizer, J&J, Eli Lilly, BMS, Moonlake, UCB, Novartis, Pfizer, Fresenius Kabi, J&J, Eli Lilly. © The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,031
score de la tête « metaresearch » (Gemma)0,071
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,031
Score d'incertitude au seuil0,165

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0310,071
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,002
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,089
Tête enseignante GPT0,346
Écart entre enseignants0,257 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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