Association of MRI biomarkers on survival in TNBC patients: A retrospective, multi-center cohort study.
Notice bibliographique
Résumé
e13155 Background: Triple-negative breast cancer (TNBC) is an aggressive subtype associated with heterogenous radiological and histopathological findings. Emerging MRI-based biomarkers—such as peritumoral edema and rim enhancement—may better predict disease progression and recurrence. However, multi-center evidence remains limited, warranting further investigation. Methods: In this retrospective study, women diagnosed with triple-negative breast cancer (TNBC) in the Canadian province of Saskatchewan from 2017 to 2021 were identified. Radiologist MRI reports were independently evaluated and coded to document the presence of peritumoral edema and rim enhancement. Multifactorial data on patient demographics, treatment, and staging were also collected. The relationship between these MRI features and overall survival was analyzed by a non-parametric survival analysis and Cox regression analyses. Chi-squared tests were conducted to evaluate differences in key clinical and pathological outcomes among patients with or without peritumoral edema and rim enhancement. Results: 380 patients with TNBC were included in the study, of which 174 received a breast MRI within 6 months of their diagnosis. Of these patients, 38 (10.0%) had peritumoral edema pre-systemic therapy, and 44 (11.5%) had rim enhancement pre-systemic therapy. The median overall survival for those with peritumoral edema was 1.88 years (95% CI, 1.29 - 6.15) and 2.47 years (95% CI, 1.35 – 6.15) for those with rim enhancement, as compared to 5.10 years (95% CI, 4.30-6.79) for the entire study population. Multivariate analysis demonstrated that peritumoral edema (p = 0.36, HR [95% CI] = 1.53 [0.61 –3.81] and rim enhancement (p = 0.21, HR [95% CI] = 1.81 [0.71 – 4.63] were not significant predictors of overall survival. Those with peritumoral edema were more likely to undergo first-line dose reduction in systemic therapy (p = 0.01, OR [95% CI] = 2.96 [1.25 –7.04]), though this finding was not significant for those with rim enhancement (p = 0.12, OR [95% CI] = 2.08 [0.83 –5.23]). Amongst patients with post-resection pathology post-neoadjuvant systemic therapy, those with rim enhancement and/or peritumoral edema exhibited a greater rate of residual disease versus complete pathological response, though this result was statistically non-significant (p = 0.12, OR [95% CI] = 2.13 [0.83 –5.43]). Similar results were observed with tumor necrosis on post-resection pathology post-neoadjuvant chemotherapy (p = 0.23, OR [95% CI] = 2.03 [0.65 –6.38]). Conclusions: The presence of peritumoral edema and rim enhancement were associated with poor survival outcomes in TNBC. However, these findings are not definitively extended to treatment response, treatment course and pathological outcomes. Larger datasets are required to better elucidate a possible connection between MRI-biomarkers and post-treatment pathology and prognosis.
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 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 ».