Reliability of using an ultrasound scoring measure for juvenile localized scleroderma (jLS)
Notice bibliographique
Résumé
A meeting held from 2/21 to 2/24/09 brought together 12 radiologists and sonographers from 5 institutions for hands-on training in acquiring and scoring ultrasound scans of jLS patients. The group had initially met in 2007, and had developed a preliminary ultrasound scoring measure. This preliminary measure was reviewed in conjunction with scans showing the range of sonographic differences that had been observed to date in jLS; this review led to an expansion of scoring ranges. Following finalization of the U-DA, the group was led in the scoring of a jLS scan by Dr. Liebling, and then attendees independently scored two other scans. These scores were jointly reviewed to ensure that participants were comfortable with applying the U-DA measure. Participants then independently scored a set of 16 jLS scans; each participant had a different order of the scans. Ten of the 11 scorers scored these scans a second time on a different day, with scans presented in a different order from the original set. Intraclass correlation scores for total echogenicity and vascularity were calculated to determine intra-rater reliability. The median score for each of the 6 U-DA parameters (echogenicity and vascularity separately scored for the dermis, hypodermis, and deep tissue layer) was determined, and the distribution of each rater’s score relative to the median plotted. All raters showed moderate to high intra-rater reliability for scoring total echogenicity (ICC 0.591 to 0.806). Poorer intra-rater reliability was found for scoring total vascularity, ranging from poor to high agreement. When evaluating the median and range of scores for each U-DA parameter, for most scans, most raters scored at or ± 1 within the median. However, for a few scans, some parameters showed no consensus or a wide range of scores. Deep tissue layer parameters were more likely to be problematic than those for other layers. Good intra-rater agreement was found for scoring total echogenicity. There was variable intra-rater reliability for scoring total vascularity, and inter-rater reliability varied among the study scans, with some U-DA parameters showing good agreement and others widely divergent scores. Scoring was more often problematic for the deep tissue layer. More review of the scans showing poorer inter-rater agreement, and more focus on deep tissue layer evaluation, may lead to improved inter-rater scoring reliability.
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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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 ».