B-361 Method Validation of Human Chorionic Gonadotropin (hCG) and a-Fetoprotein (AFP) in Cerebrospinal Fluid (CSF)
Notice bibliographique
Résumé
Abstract Background Intracranial germ cell tumors (GCTs), accounting for 2%–3% of pediatric brain tumors, are diagnostically challenging. GCTs are classified into germinomas and nongerminomatous germ-cell tumors (NGGCTs), which include yolk sac tumors, choriocarcinomas, and mixed tumors. Neuroimaging alone often cannot differentiate GCTs from other tumors, making biomarkers like a-fetoprotein (AFP) and human chorionic gonadotropin (hCG) in cerebrospinal fluid (CSF) crucial for diagnosis. Elevated AFP indicates yolk sac tumors, while increased hCG suggests choriocarcinomas. Measuring these markers in CSF is more reliable than in serum and aids in monitoring treatment response and detecting recurrence. Matrix effects can impact test results when alternative sample types are used; therefore, validation is essential before clinical implementation. In this study, we validated AFP and hCG assays on the Abbott Alinity I platform. Methods To prepare the samples, clear and colorless CSF samples were initially tested to confirm the absence of alpha-fetoprotein (AFP) and human chorionic gonadotropin (hCG). Subsequently, serum samples with high concentrations of AFP and hCG were spiked into the CSF to create a range of concentrations. Linearity/Recovery Linearity was initially evaluated by testing singlet CSF samples with varying AFP and hCG concentrations across the serum AMR, which spans 0.1 to 2000 µg/L for AFP and 1.2 to 5000 IU/L for hCG, to determine the proposed linearity range. The linearity range was then confirmed by testing newly prepared samples within the proposed range in duplicate or triplicate. Precision Within-day imprecision was assessed by measuring two pools 10 times in a single day at target concentrations of 25, 500, and 1500 µg/L for AFP and 25, 1000, and 4000 IU/L for hCG. Day-to-day imprecision was evaluated by assaying individual aliquots four times daily over five days at the same target concentrations. Limit of quantitation LOQ was defined as the lowest concentration measured with a coefficient of variation (CV) <20% and total error <20%. Samples were assayed eight times per day over five days. Four CSF specimens containing AFP and hCG at concentrations ranging from 0.1 to 1.0 µg/L (0.1, 0.2, 0.5, 1.0) and 1.2 to 3 IU/L (1.2, 1.5, 2, 3), respectively, were analyzed to determine the LOQ. Sample Stability Sample stability was evaluated at 25°C (48 hours) and 4°C (12 days) to assess potential changes in analyte concentration over time. Stability was considered acceptable if the variation in concentration remained within 15% of the original test result. Carryover The carryover is assessed by comparing the response of a high-concentration sample (approximately 80% of the ULOQ) following a CSF blank. Results The method showed a linear range of 0.1–2000 µg/L for AFP and 2–5000 IU/L for hCG in CSF, with no significant matrix effect. Precision was <5% CV, and CSF samples remained stable for 48 hours at 25°C and 12 days at 2–8°C. LOQ was 0.1 µg/L for AFP and 2 IU/L for hCG, with no significant carryover. Conclusions: The Abbott Alinity I AFP and hCG assays accurately quantify AFP and hCG in CSF.
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 | 0,007 | 0,013 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,006 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,006 |
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 ».