Two-Stage Training Framework Using Multicontrast MRI Radiomics for <i>IDH</i> Mutation Status Prediction in Glioma-Reference-Cited by-同舟云学术

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Two-Stage Training Framework Using Multicontrast MRI Radiomics for IDH Mutation Status Prediction in Glioma

Published:2024-07-01 Issue:4 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Truong Nghi C. D.^ORCID,Bangalore Yogananda Chandan Ganesh,Wagner Benjamin C.^ORCID,Holcomb James M.,Reddy Divya,Saadat Niloufar,Hatanpaa Kimmo J.^ORCID,Patel Toral R.^ORCID,Fei Baowei,Lee Matthew D.^ORCID,Jain Rajan,Bruce Richard J.^ORCID,Pinho Marco C.^ORCID,Madhuranthakam Ananth J.^ORCID,Maldjian Joseph A.^ORCID

Funder

National Institutes of Health

National Cancer Institute

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230218

Reference38 articles.

1. The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary

2. Radiomics: Images Are More than Pictures, They Are Data

3. Radiomics-Based Method for Predicting the Glioma Subtype as Defined by Tumor Grade, IDH Mutation, and 1p/19q Codeletion

4. IDH mutation-specific radiomic signature in lower-grade gliomas

5. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery

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1. Bridging Pixels to Genes;Radiology: Artificial Intelligence;2024-07-01

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