- ICH GCP
- Registre américain des essais cliniques
- Essai clinique NCT07813741
Susceptibility-Weighted Imaging in Preoperative Grading of Cerebral Gliomas
Diagnostic Value of Susceptibility-Weighted Imaging (SWI) in Preoperative Grading of Cerebral Gliomas
Gliomas are the most common primary brain tumors in adults. Determining whether a glioma is low-grade or high-grade before surgery is essential for surgical planning, choosing treatment pathways, and determining prognosis. Currently, definitive grading requires invasive tissue sampling through surgical resection or biopsy. Although conventional magnetic resonance imaging (MRI) is routinely performed, conventional sequences often show overlapping features between low-grade and high-grade tumors, limiting their ability to reliably predict tumor grade.
Susceptibility-weighted imaging (SWI) is an advanced MRI sequence sensitive to microscopic magnetic field distortions caused by blood products, calcification, and abnormal tumor blood vessels. On SWI, these features appear as intratumoral susceptibility signals (ITSS). Because high-grade gliomas typically display greater vascular proliferation and microhemorrhages than low-grade gliomas, quantifying ITSS may provide a non-invasive surrogate for tumor grade.
The primary purpose of this prospective observational study is to assess the diagnostic accuracy of SWI in the preoperative grading of cerebral gliomas, comparing imaging findings directly against histopathological examination according to the 2021 World Health Organization (WHO) Classification of Tumors of the Central Nervous System.
Adult participants with radiologically suspected cerebral gliomas who are scheduled for surgical resection or stereotactic biopsy will undergo a standardized preoperative brain MRI protocol. This protocol incorporates SWI alongside conventional MRI sequences, diffusion-weighted imaging (DWI/ADC), and magnetic resonance spectroscopy (MRS). Two independent radiologists blinded to pathology will assess and grade intratumoral susceptibility signals. Following surgery, imaging-predicted grades will be compared with the final tissue pathology to determine the sensitivity, specificity, and overall diagnostic accuracy of SWI.
Aperçu de l'étude
Statut
Les conditions
Type d'étude
Inscription (Estimé)
Critères de participation
Critère d'éligibilité
Âges éligibles pour étudier
- Adulte
- Adulte plus âgé
Accepte les volontaires sains
Méthode d'échantillonnage
Population étudiée
La description
Inclusion Criteria:
- Adult patients aged 18 years and older.
- Neuroimaging (CT or MRI) findings suggestive of cerebral glioma.
- Patients scheduled for surgical resection or stereotactic biopsy.
Exclusion Criteria:
- Previous brain surgery for the same lesion.
- Previous cranial radiotherapy or chemotherapy.
- General contraindications to MRI (e.g., cardiac pacemakers, ferromagnetic implants, or severe claustrophobia).
- Poor-quality MRI examinations compromised by significant motion or susceptibility artifacts.
Plan d'étude
Comment l'étude est-elle conçue ?
Détails de conception
Cohortes et interventions
Groupe / Cohorte |
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Suspected Cerebral Glioma Cohort
Adult patients (≥18 years) presenting with radiologically suspected cerebral gliomas who are scheduled for surgical resection or stereotactic biopsy.
All participants undergo a standardized preoperative brain MRI protocol incorporating conventional sequences (T1, T2, FLAIR, pre- and post-contrast T1), diffusion-weighted imaging (DWI/ADC), magnetic resonance spectroscopy (MRS), and 3D susceptibility-weighted imaging (SWI).
Intratumoral susceptibility signals (ITSS) on SWI are graded semi-quantitatively (grades 0 to 3) to differentiate low-grade (grades 0-1) from high-grade (grades 2-3) tumors.
Final tumor grading is established via histopathological examination of the surgical resection or stereotactic biopsy specimen according to the 2021 WHO Classification of Tumors of the Central Nervous System.
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Que mesure l'étude ?
Principaux critères de jugement
Mesure des résultats |
Description de la mesure |
Délai |
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Diagnostic Accuracy of Susceptibility-Weighted Imaging (SWI)
Délai: Baseline
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Diagnostic accuracy is evaluated as the percentage of participants correctly categorized as having low-grade or high-grade cerebral gliomas using preoperative susceptibility-weighted imaging (SWI) intratumoral susceptibility signal (ITSS) grading, compared against the reference standard of histopathological examination according to the 2021 WHO Classification of Tumors of the Central Nervous System.
ITSS is evaluated on a 4-point scale: Grade 0 (no ITSS), Grade 1 (1-5 dot-like/linear signals), Grade 2 (6-10 signals), and Grade 3 (>10 signals or confluent areas).
Scores are dichotomized into low-grade (Grades 0-1) and high-grade (Grades 2-3) gliomas.
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Baseline
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Collaborateurs et enquêteurs
Parrainer
Dates d'enregistrement des études
Dates principales de l'étude
Début de l'étude (Estimé)
Achèvement primaire (Estimé)
Achèvement de l'étude (Estimé)
Dates d'inscription aux études
Première soumission
Première soumission répondant aux critères de contrôle qualité
Première publication (Réel)
Mises à jour des dossiers d'étude
Dernière mise à jour publiée (Réel)
Dernière mise à jour soumise répondant aux critères de contrôle qualité
Dernière vérification
Plus d'information
Termes liés à cette étude
Mots clés
Termes MeSH pertinents supplémentaires
- Maladies du cerveau
- Maladies du système nerveux central
- Maladies du système nerveux
- Tumeurs par site
- Tumeurs
- Tumeurs par type histologique
- Tumeurs, glandulaires et épithéliales
- Tumeurs, neuroépithéliales
- Tumeurs neuroectodermiques
- Tumeurs, cellules germinales et embryonnaires
- Tumeurs, tissu nerveux
- Tumeurs du système nerveux
- Tumeurs du système nerveux central
- Gliome
- Tumeurs cérébrales
Autres numéros d'identification d'étude
- SWI in Cerebral Glioma Grading
Ces informations ont été extraites directement du site Web clinicaltrials.gov sans aucune modification. Si vous avez des demandes de modification, de suppression ou de mise à jour des détails de votre étude, veuillez contacter register@clinicaltrials.gov. Dès qu'un changement est mis en œuvre sur clinicaltrials.gov, il sera également mis à jour automatiquement sur notre site Web .