Can Tibial Tubercle Trochlear Groove <TT-TG> Distance be Measured Clinically?
Notice bibliographique
Résumé
Objectives: To compare the results of clinical TT-TG measurement to CT measurement. Methods: Eighteen patients were enrolled in the study. Twenty clinical and twenty CT TT-TG measurements were obtained as two patients had bilateral patella instability. Clinical TT-TG measurement method Three fellowship-trained orthopaedic surgeons used the following standardized technique: with the patient sitting on the examination table with knee flexed at 90 degrees over the edge of the table. The initial step is to mark surface anatomy. The inferior pole of the patella is identified and marked. A plumb line from the inferior patella pole is then extended distally to the horizontal level of the tibial tubercle. A level is used to ensure the plumb line is collinear all the way distally starting from the inferior patella pole. The horizontal distance between the plumb line and tibial tubercle is then measured. CT measurement methodTwo fellowship-trained MSK radiologists used the following standardized technique: the patient position is supine, feet first with the knees flexed 40 degrees on a bolster. The ankles are strapped together with a cushion of fixed size in between and both ankles are secured to the table top to prevent motion. Scans are taken from proximal to the patella to distal to the tibial tubercle. Axial images are used to identify the deepest portion of the trochlear groove and apex of the tibial tubercle. These two images are then superimposed on each other and the horizontal TT-TG distance between these two anatomic landmarks is measured. Statistical method: A Bland-Altman analysis comparing the agreement between clinical and CT TT-TG measurement was used. Three Steps: A one-sample t-test was used to assess the presence of fixed bias. This assesses whether the clinical measurement resulted in consistently higher or lower values than the CT measurements. A Bland-Altman plot with 95% limits of agreement was used to determine if the clinical and CT methods could be used interchangeably. The plot consists of the differences between each patient’s clinical and CT measurements on the Y axis versus the average of the measurements on the X axis. A regression analysis was performed to determine whether the differences between clinical and CT measurements were associated with the magnitude of the actual TT-TG distance. Results: 1. 1. The fixed bias value was -2.075 mm which indicated that on average, CT TT-TG distance was greater by 2.075 mm compared with clinical measurement. However, the result of the one sample t-test (p=0.06) was not statistically significant, providing no evidence of a fixed bias at the traditional 5% two-sided level. 2. Bland-Altman Plot The upper and lower limits of the differences between the two methods were 9.155 mm and -14.565 mm. This suggests that 95% of the time, differences between clinical and CT measurements will fall between these limits. The plot also indicated that it is feasible for clinical measurements to overestimate TT-TG distance by as much as 9.155 mm and to underestimate the difference by as much as 14.565 mm. 3. The linear regression analysis (p = 0.43) did not indicate that the magnitude of TT-TG distance played a role in inter-method agreement. Conclusion: Clinical measurement can be used to estimate TT-TG distance but clinicians should be aware of its limitations. Clinical TT-TG measurement can both overestimate and underestimate the value when compared to CT scan. Clinical measurement cannot replace CT measurement.
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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 | 0,008 | 0,063 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,002 |
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 ».