Ductal carcinoma in situ in core biopsies containing invasive breast cancer: correlation with extensive intraductal component and lumpectomy margins
Notice bibliographique
Résumé
BACKGROUND AND OBJECTIVES: The diagnosis of invasive breast cancer is most commonly made on image-guided core biopsy (CB). The presence of extensive intraductal component (EIC), as identified on subsequent lumpectomy, is associated with an increased risk of positive margins and need for further surgery. CBs demonstrating invasive breast cancer may also contain ductal carcinoma in situ (DCIS), although the significance of this finding is unclear. The objective of this study was to examine the implications of DCIS found in the original CB, specifically related to the risk of EIC and/or positive lumpectomy margins. METHODS: All patients at a single academic institution who underwent initial breast conserving surgery for invasive breast cancer diagnosed on image-guided CB between 05/00 and 04/02 were included in the study. A systematic, blinded review of all CB and lumpectomy specimens was performed using standardized criteria for DCIS, EIC, and margins. RESULTS: A total of 95 patients were included in the study, with a mean of 5 (median 5) CB/patient. Of these, 43 (45%) patients had DCIS identified in their CB; in 34 (79%) of these patients, the DCIS was mixed with the invasive cancer. No differences in tumor size or lumpectomy volume were identified between patients with or without DCIS on CB. However, patients with DCIS were noted to be significantly younger. Overall, EIC was identified in 13 (14%) patients; the risk of EIC was significantly higher in patients with DCIS identified in CB than in those with invasive carcinoma alone (30% vs. 0%, respectively; P < 0.0001). Expectedly, the incidence of positive margins on lumpectomy was higher in patients with EIC (38% vs. 16%; P = 0.05). A trend, although not statistically significant, towards positive margins was also noted in patients with DCIS on CB compared to those with invasive carcinoma alone (24% vs. 15%, P = 0.3). CONCLUSIONS: The identification of DCIS in conjunction with invasive cancer on CB appears important; the absence of DCIS in a CB sample excludes the possibility of eventually identifying EIC. Knowledge of DCIS in CBs with invasive carcinoma may be helpful for surgeons in planning gross resection margins at lumpectomy.
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 | 0,000 | 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 | 0,000 |
| 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 ».