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Recruiting
NCT05624736
Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning
Conditions: Astrocytoma, Glioblastoma Multiforme, Oligodendroglioma
Sex: All
Ages: 18 Years – 90 Years
Enrollment: 500
Sponsor: The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Location: China
Summary
This is a restrospective study to establish a deep learning model based on multi-parametric magnetic resonance imaging scans to predict Grade, histopathologic type and genotype of adult diffuse Glioma.
Eligibility Criteria
Inclusion Criteria:Patients undergoing surgery in Nanjing DrumTower Hospital between 2010.01 and 2022.05 with post-surgery pathological diagnosis of WHO Grade II to IV Adult Diffuse Glioma.Available pre-surgery T1WI, T2WI, T1CE, FLARI and DWI MR sequencesNo pre-surgery anti-tumor therapyExclusion Criteria:Poor image qualityFailed image preprocessingUnavailable pathology data
Source: ClinicalTrials.gov (NCT05624736). StuddyBuddy aggregates publicly available trial information.
