18-FDG-PET as a Prognostic Indicator in the Treatment of Aggressive Non-Hodgkin's Lymphoma-Comparison with CT
Notice bibliographique
Résumé
Less than 50% of newly diagnosed patients with aggressive histology Non-Hodgkin's Lymphoma (NHL) are cured with standard treatment. The ability to accurately monitor response to treatment is crucial in order to select out patients who need more intensive or salvage treatment. This study assesses the accuracy of FDG-PET as compared to CT in remission assessment following treatment of aggressive NHL, and its value in estimating relapse-free survival. It also evaluates the prognostic value of early interim PET scan in prediction of treatment outcome. Forty-nine adult patients with biopsy-proven aggressive NHL between September 1993 and December 1997 were included. All patients had pre-treatment FDG-PET demonstrating increased uptake in sites of disease. Forty-five patients had a post-treatment PET to assess remission status and 4 had an interim but not a post-treatment PET. Thirty-three of these patients also had a pre- and a post-treatment CT scan. Twenty-three of the 49 patients had an interim PET during chemotherapy to assess early response. PET and CT scan results were correlated with relapse data to examine their accuracy in remission assessment and prediction of prognosis. The median follow-up duration is 30 months. Overall the result of post-treatment PET scan appears to predict disease outcome, with relapse rates of 100% (9/9) and 17% (6/36) for positive and negative PET respectively [p<0.001]. In a subgroup of 33 patients, direct comparison of post-treatment PET and CT shows that PET was more accurate than CT in assessing remission status following treatment. Relapse rate was 100% for positive PET and only 18% for negative PET (p<0.001), compared to 41% and 25% for patients with positive and negative CT respectively (p>0.1). PET was particularly useful in assessment of residual masses seen on CT scan. The interim PET provided valuable information regarding early assessment of response and long-term prognosis, with no relapses in patients with no or minimal residual uptake compared to 87.5% relapse rate in patients with persistent PET activity (p<0.001). FDG-PET is an accurate method of assessing remission and estimating prognosis following treatment of aggressive NHL, with positive and negative predictive accuracies of 100% and 82% respectively. PET is more accurate than CT in assessing remission and prediction of relapse-free survival. An interim PET scan after 2-3 cycles of chemotherapy predicts the long-term outcome early-on and has a high negative predictive value (100%). This may assist to separate at an early stage good-prognosis patients who are likely to be cured with standard chemotherapy from those patients with poorer prognosis who require alternative treatment.
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 | 0,002 | 0,004 |
| 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 | 0,001 | 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) | 0,000 | 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 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 ».