The impact of preoperative breast magnetic resonance imaging (MRI) on surgical decision-making in young patients with breast cancer.
Notice bibliographique
Résumé
Abstract Abstract #4012 Recent data suggests that breast MRI is a more sensitive diagnostic test for detecting invasive breast cancer than mammography or breast ultrasound. Breast MRI may be particularly useful in younger premenopausal women with higher density breast tissue for differentiating between dense fibroglandular breast tissue and breast malignancies. The primary objective of this study was to determine the impact of pre-operative breast MRI on surgical decision-making in young women with breast cancer. Methods: A retrospective review of 32 patients with newly diagnosed invasive breast cancer and age ≤ 50 was performed. All patients underwent a physical examination, preoperative mammogram, breast ultrasound, and bilateral breast MRI. Two breast cancer surgeons reviewed the preoperative mammogram report, breast ultrasound report, and physical examination summary for each case and were asked if they would recommend a lumpectomy, quandrantectomy, or mastectomy. A few weeks later, the two surgeons were shown the same information with the breast MRI report and were asked what type of surgery they would now recommend. In each case, MRI was classified by two adjudicators as having affected the surgical outcome in a positive, negative, or neutral fashion. A 'Positive Impact' was defined as the situation where breast MRI detected additional disease that was not found on physical exam, mammogram, or breast ultrasound and led to an appropriate change in surgical management. A 'Negative Impact' was defined as the situation where the breast MRI results led the surgeon to recommend more extensive surgery, with less extensive disease actually found at pathology. 'No Impact' was defined as the situation where MRI findings did not alter surgical recommendations or outcome. Results: The median age was 41.5 years. The pathologic diagnosis was invasive ductal carcinoma in 94% (30/32) and invasive lobular carcinoma in 6% (2/32) of cases. For surgeon A, clinical management was altered in 21/32 (66%) of cases, and for surgeon B, management was altered in 13/32 (41%) of cases. The most common change in surgical decision-making after breast MRI was from breast conserving surgery to a mastectomy. Mastectomy rates were similar between both surgeons after breast MRI. After reviewing the pathology results and comparing them with the breast MRI results, it was determined that breast MRI led to a positive outcome in 13/32 cases (41%). Breast MRI led to no change in surgical management in 15/32 (47%) cases and resulted in a negative change in surgical management in 4/32 (13%) cases. Bilateral breast MRI detected a contralateral breast cancer in 2/32 (6%) patients. Conclusions: Preoperative breast MRI appears to result in a change in surgical management in a significant proportion of younger women. Further research is needed to determine if this change in surgical decision-making will result in improved local control. Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 4012.
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 | 0,015 |
| 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) | 0,001 | 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 ».