Abstract P4-02-15: Preoperative MRI of the breast and ipsilateral breast tumor recurrence: Long-term follow up
Notice bibliographique
Résumé
Abstract Introduction: Local recurrence after breast conserving surgery for invasive breast cancer is uncommon, reported in 5 to 10% of cases at 10 years after surgery. Prior studies with short term follow-up have shown that preoperative breast MRI does not reduce re-excision rates for positive margins or reduce local recurrence after lumpectomy and radiation therapy. This study aims to determine 1) if preoperative breast MRI is associated with reduced ipsilateral breast tumor recurrence (IBTR) rates in the longer term and 2) the IBTR rates of a high risk (triple negative (TN) and Her-2 positive) subgroup in those receiving or not receiving preoperative MRI. Methods: Between 1999 and 2005, a cohort of patients with invasive breast cancer undergoing breast conservative surgery and radiation therapy were identified from a prospectively collected database and followed. The primary endpoint was IBTR rate. Secondary outcomes included the determination of factors associated with the use of preoperative breast MRI and prognostic factors related to IBTR. IBTR rate was calculated by Kaplan-Meier method. Univariate analysis was calculated using log-rank test and chi-squared test. Results: The cohort consisted of 470 cases with invasive breast cancer undergoing lumpectomies with negative resection margins. All patients received adjuvant radiation therapy. 127 (27%) patients underwent preoperative breast MRI and 343 (73%) did not. Median follow-up was 97 months. The overall 10-year IBTR rate was 3.6%. Overall, there was no significant difference in IBTR rate at 10 years between those receiving preoperative MRI and those without (IBTR: 1.6% and 4.2%, respectively (p = 0.37). There were no differences in IBTR rate between MRI and no-MRI after adjusting for age, year of surgery, tumor size, and adjuvant treatments on univariate analysis. For patients who recurred, median time to recurrence was 26 months for MRI group vs. 25 months for no-MRI group. Factors associated with the receipt of preoperative MRI were age < 50 years, lesion > 2 cm and receipt of adjuvant chemotherapy. We also found that the TN and Her-2 positive combined subgroup had a higher IBTR rate than all others (9.8% vs. 3.1%, p= 0.03). In those that received preoperative MRI, there was no difference in IBTR between the high risk group (n= 33) and the remaining patients (3.3% vs 1.2%, p= 0.5), but in the group without an MRI, the IBTR rate of the high risk group (n= 75) was 11.8% compared to the remainder (vs. 4.0%, p= 0.0529). For the TN and Her-2 positive combined group, the difference in IBTR rate when this subgroup was subdivided if they had received preoperative MRI vs. no-MRI (3.3% vs. 11.8%, p= 0.3) was not significant. Conclusion: With long term 10-year follow up, there is no overall significant difference in IBTR rate whether preoperative breast MRI is performed versus not. However, the high risk triple negative breast cancers and Her-2 positive populations combined have shown an increased IBTR rate, and this was more marked in those who did not receive preoperative MRI. Citation Format: Gervais M-K, Maki E, Schiller DE, McCready DR. Preoperative MRI of the breast and ipsilateral breast tumor recurrence: Long-term follow up. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P4-02-15.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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) | 0,003 | 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 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 ».