Notice bibliographique
Résumé
OBJECTIVE: To describe and characterize histiocytic sarcoma (HS) first detected in the eyes of dogs using the large database at the comparative ocular pathology laboratory of Wisconsin (COPLOW). METHODS: Cases diagnosed as HS were selected from the COPLOW database. Slides were reviewed to describe the cellular morphology, localize the tumor within the globe, record the tumor distribution and measure the size of the tumor. Further sections were taken to perform immunohistochemistry for Melan-A, CD18 and S-100, and for ferric iron staining. The following clinical information was recorded: breed, age, gender, laterality, clinical signs upon presentation and follow-up information obtained by response to a mailed survey and phone contact. RESULTS: Twenty-six cases were confirmed as being HS according to the immunohistochemical results (CD18 positive and Melan-A negative). The most prevalent breed was Rottweiler (eight cases), followed by Retriever breeds (seven Golden Retrievers and five Labrador Retrievers). The mean age was 8.61 +/- 2.43 years. There were three intact male, eight castrated male, one intact female and 14 spayed female dogs. In 15 dogs there were no concurrent systemic clinical signs at the time of diagnosis. Sixteen of 19 dogs with follow-up information available died as a result of causes related to the tumor, although only three of them received a necropsy. Survival time varied between 5 days and 6 months after enucleation. Three of the dogs were alive at the time the information was gathered. Mean tumor surface was 0.613 +/- 0.38 cm(2). S-100 was diffusely positive in 10 cases, isolated positive cells were found in 11 cases and five cases were completely negative. Seven of the cases were positive for ferric iron. CONCLUSIONS: Histiocytic sarcoma must be considered in the differential diagnosis of dogs with intraocular masses, especially in Rottweilers and Retriever breeds. Because it carries poor prognosis, it must be distinguished from melanoma. A good discriminator for this purpose in paraffin-embedded tissues is finding CD18-positive cells and no reactivity against Melan-A. S-100 and ferric iron staining does not seem to be useful. Ocular HS is considered to be a manifestation of a systemic disease even when the disease is first recognized in the eye.
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 | 0,000 |
| 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 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 ».