OP0047 Estimating the impact of a training workshop on the reliability of salivary gland ultrasound scoring in Sjögren's syndrome
Notice bibliographique
Résumé
<h2>Abstract</h2><h3>Background:</h3> In the recent years, salivary gland ultrasound (SGUS) has emerged as a promising diagnostic tool for SjD. SGUS is a non-invasive, cheap, and widely accessible method for the assessment of glandular abnormalities, offering high sensitivity and specificity [1-3]. However, the reliability of SGUS depends heavily on operator proficiency [4]. Standardized training could be a potential approach to improve SGUS reliability and enhance the ability of clinicians to assess the salivary glands, especially for observers with limited experience. <h3>Objectives:</h3> The aim of this study was to assess the impact of an international training workshop on inter-observer reliability of SGUS scoring in SjD. <h3>Methods:</h3> 25 healthcare professionals from 10 countries with different levels of SGUS expertise participated in the reliability exercise. Participants assessed 8 SGUS images of 20 patients suspected of SjD, before and after attending a training workshop. The images consisted of greyscale (GS) and color Doppler (CD) scans of the submandibular and parotid glands. Participants scored the images using the OMERACT GS and CD scoring systems. Intraclass correlation coefficients (ICC) were used to assess overall inter-observer reliability and ICCs of participants vs SGUS experts (expert-participant reliability) before and after the workshop. Analyses were stratified according to SGUS experience, i.e. participants without experience and participants with ≥1 year experience. <h3>Results:</h3> The overall pre-workshop inter-observer reliability ICC for the total OMERACT score was 0.68 for GS and 0.73 for CD. Post-workshop overall inter-observer reliability was 0.79 for GS and 0.72 for the CD. The training led to significant improvements for the total OMERACT GS score, with an increase in ICC by 0.06±0.12 (p=0.020), when comparing participants to experts. Most improvement was found in the inter-observer reliability of the submandibular glands. For CD, the total OMERACT score showed a non-significant ICC improvement of 0.03±0.09 (p=0.129). Participants without prior SGUS experience demonstrated significant improvement in the total OMERACT GS score, with ICC increasing by 0.13±0.13 (p=0.012), compared to a negligible improvement of 0.01±0.09 (p=0.624) among the experienced group. We found no significant differences in the impact of the workshop on the evaluation of CD images between the compared groups. <h3>Conclusion:</h3> The international training workshop significantly improved the reliability in scoring greyscale SGUS, particularly when assessing the submandibular glands and for participants without prior experience. Effects were limited in CD scoring and in participants with over one year of SGUS experience. <h3>REFERENCES:</h3> [1] Ramsubeik K, Motilal S, Sanchez-Ramos L, Ramrattan LA, Kaeley GS, Singh JA. Diagnostic accuracy of salivary gland ultrasound in Sjögren's syndrome: A systematic review and meta-analysis. <i>Ther Adv Musculoskelet Dis</i>. 2020;12:1759720X20973560. Published 2020 Nov 21. doi:10.1177/1759720X20973560. [2] Jousse-Joulin S, Gatineau F, Baldini C, et al. Weight of salivary gland ultrasonography compared to other items of the 2016 ACR/EULAR classification criteria for Primary Sjögren's syndrome. <i>J Intern Med</i>. 2020;287(2):180-188. doi:10.1111/joim.12992. [3] Hocevar A, Ambrozic A, Rozman B, Kveder T, Tomsic M. Ultrasonographic changes of major salivary glands in primary Sjogren's syndrome. Diagnostic value of a novel scoring system. Rheumatology (Oxford). 2005;44(6):768-772. doi:10.1093/rheumatology/keh588. [4] Saied F, Włodkowska-Korytkowska M, Maślińska M, et al. The usefulness of ultrasound in the diagnostics of Sjögren's syndrome. <i>J Ultrason</i>. 2013;13(53):202-211. doi:10.15557/JoU.2013.0020. <h3>Acknowledgements:</h3> <b>NIL</b>. <h3>Disclosure of Interests:</h3> <b>None declared</b>. © 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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».