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The University of California San Francisco Preoperative Diffuse Glioma MRI Dataset.

作者信息

Calabrese Evan, Villanueva-Meyer Javier E, Rudie Jeffrey D, Rauschecker Andreas M, Baid Ujjwal, Bakas Spyridon, Cha Soonmee, Mongan John T, Hess Christopher P

机构信息

Center for Intelligent Imaging (Ci), Department of Radiology & Biomedical Imaging, University of California San Francisco, 505 Parnassus Ave, San Francisco, CA 94143 (E.C., J.E.V.M., J.D.R., A.M.R., S.C., J.T.M., C.P.H.); and Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, Pa (U.B., S.B.).

出版信息

Radiol Artif Intell. 2022 Oct 5;4(6):e220058. doi: 10.1148/ryai.220058. eCollection 2022 Nov.

DOI:10.1148/ryai.220058
PMID:36523646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9748624/
Abstract

Informatics, MR Diffusion Tensor Imaging, MR Perfusion, MR Imaging, Neuro-Oncology, CNS, Brain/Brain Stem, Oncology, Radiogenomics, Radiology-Pathology Integration © RSNA, 2022.

摘要

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本文引用的文献

[1]
Combining radiomics and deep convolutional neural network features from preoperative MRI for predicting clinically relevant genetic biomarkers in glioblastoma.

Neurooncol Adv. 2022-4-22

[2]
Feasibility of Simulated Postcontrast MRI of Glioblastomas and Lower-Grade Gliomas by Using Three-dimensional Fully Convolutional Neural Networks.

Radiol Artif Intell. 2021-5-19

[3]
The 2021 WHO Classification of Tumors of the Central Nervous System: a summary.

Neuro Oncol. 2021-8-2

[4]
A fully automated artificial intelligence method for non-invasive, imaging-based identification of genetic alterations in glioblastomas.

Sci Rep. 2020-7-16

[5]
ACRIN 6684: Multicenter, phase II assessment of tumor hypoxia in newly diagnosed glioblastoma using magnetic resonance spectroscopy.

PLoS One. 2018-6-14

[6]
An anatomic transcriptional atlas of human glioblastoma.

Science. 2018-5-11

[7]
Advancing The Cancer Genome Atlas glioma MRI collections with expert segmentation labels and radiomic features.

Sci Data. 2017-9-5

[8]
Targeted next-generation sequencing of pediatric neuro-oncology patients improves diagnosis, identifies pathogenic germline mutations, and directs targeted therapy.

Neuro Oncol. 2017-5-1

[9]
ACRIN 6684: Assessment of Tumor Hypoxia in Newly Diagnosed Glioblastoma Using 18F-FMISO PET and MRI.

Clin Cancer Res. 2016-10-15

[10]
Repeatability of Standardized and Normalized Relative CBV in Patients with Newly Diagnosed Glioblastoma.

AJNR Am J Neuroradiol. 2015-9

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