Papillary Lesions of the Breast
Notice bibliographique
Résumé
BACKGROUND: Classifying papillary lesions of the breast on core biopsy (CB) is challenging. Although traditionally all such lesions were surgically excised, at present, conservative management of benign lesions is being advocated; therefore, accurately classifying papillary lesions on CB is all the more imperative. The extent to which subspecialty training in breast pathology might mitigate such difficulties in diagnosis has not yet been reported. We investigated change in diagnoses from CB to surgical excision according to subspecialist training in breast pathology and interobserver agreement between specialized breast pathologists (BPs) and nonbreast pathologists (NBPs) in classifying these lesions. DESIGN: CBs of 281 papillary lesions from 266 patients diagnosed between 2000 and 2010 were classified by both a BP and NBP into benign, atypical, ductal carcinoma in situ/encapsulated papillary carcinoma, or invasive carcinoma categories. Rates of change in diagnostic category in the surgical excision specimen were calculated on the basis of: (i) the original diagnosis, (ii) diagnosis made by the BP, and (iii) diagnosis made by the NBP. Comparisons were made using the χ test. Kappa values were calculated for interobserver agreement. RESULTS: Of 162 lesions with subsequent excision, 90 were originally diagnosed as benign, 38 as atypical, 25 as ductal carcinoma in situ/encapsulated papillary carcinoma, and 9 as invasive on CB. The upgrade rate for benign papillomas to an atypical or malignant lesion on surgical excision was 22.2% according to the original diagnosis. This rate fell to 16.3% when the BP diagnoses were considered, compared with 26.3% for the NBP diagnoses. There was no significant difference between BPs and NBPs in the rate of upgrade from a benign to an atypical/malignant diagnosis, although downgrades from atypical/malignant to benign papillomas were more commonly seen among NBPs (P=0.002). Overall, the BP diagnosis on CB was less likely to differ from the excision diagnosis (P=0.0001). Benign papillomas upgraded on excision were more likely to occur with larger radiologic mass size (P=0.033) compared with those that were not upgraded. Of 8 benign papillomas upgraded to a malignant lesion on excision, 7 were discordant on radiology. Interobserver agreement between BP and NBP diagnoses was in the "fair agreement" range (κ=0.38), with perfect agreement in 66.4% of cases. CONCLUSIONS: Correlation between CB and excision diagnoses for breast papillary lesions is significantly greater for BPs than for NBPs. This is largely because of a tendency to overcall atypia or malignancy on CB by NBPs. However, upgrades from benign to atypical or malignant did not significantly differ according to subspecialization. With accurate pathologic assessment and radiologic-pathologic correlation, the upgrade rate of benign papillomas to malignancy can be minimized significantly.
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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| 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 ».