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UnknownNCT05624736

Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning

Artificial Intelligence Research of Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning

Status
Unknown
Phase
Study type
Observational
Enrollment
500 (estimated)
Sponsor
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School · Academic / Other
Sex
All
Age
18 Years – 90 Years
Healthy volunteers
Not accepted

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.

Detailed description

Glioma is a common kind of tumor in central nervous system. The pre-operative prediction of grade, histopathologic type and genotype is important for treatment and management of Adult diffuse Glioma patients. Right now, most of the diagnostic prediction models on glioma are based on 2016 WHO central nervous system tumor guideline. The goal of this study is to establish a new deep learning model to predict Grade, histopathologic type and genotype of adult diffuse Glioma. We will recruit 500 patients with pathologically confirmed diagnosis of Glioblastoma, Astrocytoma and Oligodendroglioma who received neurologic surgery in our center. Each subject underwent pre-operative multi-parametric magnetic resonance imaging scans including T1WI, T2WI, T1CE, FLAIR and DWI. Pathologic diagnosis of each patient are available in pathology department. A deep learning based hierarchical diagnosis

Conditions

Interventions

TypeNameDescription
DIAGNOSTIC_TESTmulti-parametric magnetic resonance imaging scanPre-operative multi-parametric magnetic resonance imaging scans including T1WI, T2WI, T1CE, FLAIR and DWI were taken for clinical needs.
DIAGNOSTIC_TESTPathology examinationThe tumor specimen obtained from the surgery were sent to the pathology department for histopathologic examination, immunohistochemistry and gene sequencing test

Timeline

Start date
2022-11-20
Primary completion
2023-05-01
Completion
2025-05-01
First posted
2022-11-22
Last updated
2022-11-22

Locations

1 site across 1 country: China

Source: ClinicalTrials.gov record NCT05624736. Inclusion in this directory is not an endorsement.