ASSESSMENT OF RADIOLOGICAL HEALING RELIABILITY AND ACCURACY IN DISTAL RADIUS FRACTURES
Notice bibliographique
Résumé
Distal radius fractures (DRFs) are commonly managed non-operatively through closed reduction and cast immobilization; however, complications may arise if the immobilization period is too long or short. There are no standardized guidelines to determine the optimal duration of immobilization, so radiographic assessment of healing progression is common. However, there is no consensus on criteria to assess union. Scoring cortical continuity has been used with some success in lower limb fractures,1 but it remains unclear if a similar technique can reliably determine union after DRFs. In this study, we hypothesized that radiographic assessment based on cortical continuity and fracture line visibility of non-operatively treated DRFs would provide a reliable measure of fracture healing. We assessed inter- and intra-rater reliability of radiographic scoring, with and without access to patient demographics and injury characteristics. We also determined the association of radiographic scoring against Patient-Rated Wrist Evaluation (PRWE) and predictions of bone stiffness. Consecutive adults who underwent non-operative treatment for a DRF were enrolled in this prospective cohort study. Orthogonal radiographs were taken at initial assessment and 2-weeks, 4–6 weeks, and 26-weeks post-fracture. Six independent raters (two attending surgeons, two orthopaedic trauma fellows, and two senior residents) determined radiographic cortex score (RCS) based on callus and fracture line visibility. Raters scored each image thrice, with a minimum two-week washout period between scorings. Patient and injury information was provided at the third scoring. Raters also scored fracture union and whether the cast should be removed (yes/no responses). Intra-class correlation coefficients (ICC) and repeated measures correlation coefficients (rm) were calculated for within and between raters. PRWE was collected at each timepoint, as was a high-resolution peripheral quantitative computed tomography (HR-qQCT) image of the wrist (61 μm isotropic resolution). The latter was used to develop image-based micro-finite element models (μFE) to estimate apparent stiffness under uniaxial compression and torsional loading. Twenty participants (18 female, mean age = 50.5 ± 15.8 years) were enrolled. As shown in Figure 1, the inter-rater agreement was fair at the first and second round, with respective ICCs of 0.69 and 0.68. Inter-rater agreement was stronger at the third round, when patient information was provided (ICC=0.80). Finally, inter-rater agreement for the RCS was consistently stronger than the agreement for union or cast removal. Finally, RCS was strongly associated with μFE-estimated stiffness (rm = 0.74 to 0.84) and PRWE (rm = −0.83 to −0.75). Intra-rater reliability across the first two rounds and rounds one and three were stronger for RCS (mean ICC = 0.69 and 0.73, respectively) than fracture union (ICC = 0.57 and 0.56, respectively) or cast removal (ICC = 0.51 and 0.49, respectively). RCS had fair-to-good inter-rater reliability, across multiple rounds of scoring. Scores were strongly associated with μFE-estimated stiffness and PRWE, suggesting it is a good measure of mechanical and function changes indicative of healing. We observed weaker reliability of more subjective determination of fracture union and the decision to continue cast immobilization. Thus, we recommend the use of the RCS to aid clinical decision-making in non-operatively treated DRFs. For any figures or tables, please contact the authors directly.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,014 | 0,047 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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.
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 source (Gemma direct ou Codex distillé), 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 ».