Astrocytoma, Glioblastoma Multiforme, Oligodendroglioma
Conditions
Keywords
Astrocytoma, Glioblastoma, Oligodendroglioma, deep learning, artificial intelligence
Brief 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
Interventions
DIAGNOSTIC_TESTmulti-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_TESTPathology examination
The tumor specimen obtained from the surgery were sent to the pathology department for histopathologic examination, immunohistochemistry and gene sequencing test
Sponsors
The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
Study design
Observational model
CASE_CROSSOVER
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
No
Inclusion criteria
1. 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. 2. Available pre-surgery T1WI, T2WI, T1CE, FLARI and DWI MR sequences 3. No pre-surgery anti-tumor therapy
Exclusion criteria
1. Poor image quality 2. Failed image preprocessing 3. Unavailable pathology data
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Tumor Grade | up to 2 weeks | Tumor Grade based on 2021 WHO central nervous system tumor guideline |
| Tumor Histologic diagnosis | up to 2 weeks | Tumor histologic diagnosis based on 2021 WHO central nervous system tumor guideline |
| Tumor genotype | up to 2 weeks | Tumor genotype based on 2021 WHO central nervous system tumor guideline |
Countries
China
Contacts
Primary ContactXin Zhang, Master
Outcome results
None listed