GliomaAI-Astro23: MRI-Based Detection of IDH Mutant Astrocytoma (Grade 2 and 3) (GliomaAI-A23)
GliomaAI-Astro23: Non-Invasive MRI-Based Detection of IDH Mutant Astrocytoma (Grade 2 and 3) Using Artificial Intelligence
The goal of this observational study is to learn whether an artificial intelligence system called GliomaAI-Astro23 can help detect a specific molecular type of brain tumour called IDH mutant Astrocytoma (grade 2 and 3) using routine MRI scans. The study uses previously collected and fully anonymised MRI data from 1,372 patients from 13 institutions in the Cancer Imaging Archive (TCIA).
The main questions it aims to answer are:
- How accurately can GliomaAI-Astro23 identify IDH mutant Astrocytoma (grade 2 and 3) from MRI scans?
- How well does the system perform across data from different hospitals and patient groups?
Researchers will use existing MRI scans and clinical information to train and test the AI system. No new scans, treatments, or hospital visits are required for participants, and all data used is fully anonymised and obtained from an existing research database.
Participants will not be asked to do anything, as this study only uses previously collected imaging data.
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
-
Mumbai, India
- Deep Learning Institute of Radiological Sciences
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult (>=18 years of age)
- Having pre op MRI scan
- Having biopsy / surgery
- Having post biopsy/ surgery histology diagnosis and genetic analysis.
Exclusion Criteria:
- MRI scan significantly degraded by motion or other artefact
- Incomplete genetic analysis
- Prior treatment (e.g., radiotherapy or chemotherapy) before baseline MRI
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Diagnostic performance of GliomaAI-Astro23 for identification of IDH mutant Astrocytoma (grade 2 and 3) from MRI, measured by accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the ROC
Time Frame: Perioperative
|
The diagnostic performance of the GliomaAI-Astro23 artificial intelligence model will be assessed by comparing pre-operative MRI-based predictions of IDH mutant Astrocytoma (grade 2 and 3) status against post-operative (biopsy or surgery) molecular/genetic profiling results as the reference standard.
Performance metrics including accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and AUC will be calculated.
|
Perioperative
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Pathologic Processes
- Neoplasms by Site
- Neoplasms
- Immune System Diseases
- Neoplasms by Histologic Type
- Neoplasms, Glandular and Epithelial
- Lymphatic Diseases
- Lymphoproliferative Disorders
- Immunoproliferative Disorders
- Lymphoma, Non-Hodgkin
- Neoplasms, Neuroepithelial
- Neuroectodermal Tumors
- Neoplasms, Germ Cell and Embryonal
- Neoplasms, Nerve Tissue
- Lymphoma
- Nervous System Neoplasms
- Central Nervous System Neoplasms
- Pathological Conditions, Signs and Symptoms
- Hemic and Lymphatic Diseases
- Disease
- Glioma
- Lymphoma, Follicular
- Brain Neoplasms
- Astrocytoma
Other Study ID Numbers
Other Study ID Numbers
- DLIRS-GLIOMAAI-ASTRO23
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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