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Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning

NCT05624736 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 500

Last updated 2022-11-22

No results posted yet for this study

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.

Conditions

Interventions

DIAGNOSTIC_TEST

multi-parametric magnetic resonance imaging scan

Pre-operative multi-parametric magnetic resonance imaging scans including T1WI, T2WI, T1CE, FLAIR and DWI were taken for clinical needs.

DIAGNOSTIC_TEST

Pathology examination

The tumor specimen obtained from the surgery were sent to the pathology department for histopathologic examination, immunohistochemistry and gene sequencing test

Sponsors & Collaborators

  • The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-11-20
Primary Completion
2023-05-01
Completion
2025-05-01

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05624736 on ClinicalTrials.gov