Neoplasms

All Conditions

Rare Diseases

Glioblastoma

Glioma

Astrocytoma

Oligodendroglioma

Neoplasms, Neuroepithelial

Neuroectodermal Tumors

Neuroectodermal Tumors, Primitive

Neoplasms, Germ Cell and Embryonal

Neoplasms by Histologic Type

Neoplasms, Glandular and Epithelial

Neoplasms, Nerve Tissue

Neuroepithelioma

Patients with the diagnosis of Glioblastoma based on 2021 WHO central nervous system tumor guideline.

Patients with the diagnosis of Astrocytoma based on 2021 WHO central nervous system tumor guideline.

Patients with the diagnosis of Oligodengroglioma based on 2021 WHO central nervous system tumor guideline.

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

multi-parametric magnetic resonance imaging scan

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

Pathology examination

Xin Zhang, Master

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.

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

Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning

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

We don't plan to share IPD with other researches

Tumor Grade based on 2021 WHO central nervous system tumor guideline

Tumor histologic diagnosis based on 2021 WHO central nervous system tumor guideline

Tumor genotype based on 2021 WHO central nervous system tumor guideline

Study title	NCT ID	Conditions	Interventions	Eligibility	Organization	Link
Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning	NCT05624736	Astrocytoma Glioblastoma Mu... Oligodendroglio...	multi-parametri... Pathology exami...	18 Years - 90 Years	The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Hierarchical Diagnosis for Adult Diffuse Glioma Based on Deep Learning	NCT05624736	Astrocytoma Glioblastoma Mu... Oligodendroglio...	multi-parametri... Pathology exami...	18 Years - 90 Years	The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

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