Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

E. George; E. Flagg; K. Chang; H.X. Bai; H.J. Aerts; M. Vallières; D.A. Reardon; R.Y. Huang

doi:10.3174/ajnr.A7488

Main menu

Home
Content
Special Collections
Multimedia
For Authors
About Us
- About AJNR
- Editorial Board
More

Other Publications
- ajnr

User menu

Alerts
Log in

Search

Search for this keyword

Advanced search

American Journal of Neuroradiology

Alerts
Log in

Search for this keyword

Advanced Search

Home
Content
Special Collections
Multimedia
For Authors
About Us
- About AJNR
- Editorial Board
More

Follow AJNR on Twitter
Visit AJNR on Facebook
Follow AJNR on Instagram
Join AJNR on LinkedIn
RSS Feeds

Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.

AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

Research ArticleAdult Brain

Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

E. George, E. Flagg, K. Chang, H.X. Bai, H.J. Aerts, M. Vallières, D.A. Reardon and R.Y. Huang

American Journal of Neuroradiology May 2022, 43 (5) 675-681; DOI: https://doi.org/10.3174/ajnr.A7488

E. George

aFrom the Department of Radiology and Biomedical Imaging (E.G.), University of California San Francisco, San Francisco, California

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for E. George

E. Flagg

bDepartment of Radiology (E.F., R.Y.H.), Brigham and Women’s Hospital, Boston, Massachusetts

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for E. Flagg

K. Chang

cMassachusetts Institute of Technology (K.C.), Cambridge, Massachusetts

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for K. Chang

H.X. Bai

dDepartment of Diagnostic Imaging (H.X.B.), Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, Rhode Island

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for H.X. Bai

H.J. Aerts

eArtificial Intelligence in Medicine Program (H.J.A.), Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts

fDepartments of Radiation Oncology and Radiology (H.J.A.), Brigham and Women’s Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for H.J. Aerts

M. Vallières

gDepartment of Computer Science (M.V.), Université de Sherbrooke, Sherbrooke, Quebec, Canada

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for M. Vallières

D.A. Reardon

hCenter for Neuro Oncology (D.A.R.), Dana-Farber Cancer Institute, Boston, Massachusetts

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for D.A. Reardon

R.Y. Huang

bDepartment of Radiology (E.F., R.Y.H.), Brigham and Women’s Hospital, Boston, Massachusetts

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for R.Y. Huang

Article
Figures & Data
Supplemental
Info & Metrics
Responses
References
PDF

PreviousNext

In this issue

American Journal of Neuroradiology

Vol. 43, Issue 5

1 May 2022

Table of Contents
Index by author
Complete Issue (PDF)

Download PDF

Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

Message Subject (Your Name) has sent you a message from American Journal of Neuroradiology

Message Body (Your Name) thought you would like to see the American Journal of Neuroradiology web site.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Cite this article

E. George, E. Flagg, K. Chang, H.X. Bai, H.J. Aerts, M. Vallières, D.A. Reardon, R.Y. Huang

Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

American Journal of Neuroradiology May 2022, 43 (5) 675-681; DOI: 10.3174/ajnr.A7488

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

0 Responses

Respond to this article

Bookmark this article

User Name *

Password *

Remember my user name & password.

Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

E. George, E. Flagg, K. Chang, H.X. Bai, H.J. Aerts, M. Vallières, D.A. Reardon, R.Y. Huang

American Journal of Neuroradiology May 2022, 43 (5) 675-681; DOI: 10.3174/ajnr.A7488

Share This Article:

Tweet Widget
Facebook Like
Google Plus One

Purchase

Jump to section

Article
Figures & Data
Supplemental
Info & Metrics
Responses
References
PDF

PubMed
Google Scholar

Cited By...

A Scoping Review of Artificial Intelligence Applications in Clinical Trial Risk Assessment
Imaging Genomics of Glioma Revisited: Analytic Methods to Understand Spatial and Temporal Heterogeneity

Crossref
Google Scholar

This article has not yet been cited by articles in journals that are participating in Crossref Cited-by Linking.

Adult Brain

Diagnostic Neuroradiology of Monoclonal Antibodies
ML for Glioma Molecular Subtype Prediction
Segmentation of Brain Metastases with BLAST

Show more Adult Brain

Functional

Glutaric Aciduria Type 1: DK vs. Conventional MRI
Kurtosis and Epileptogenic Tubers: A Pilot Study
WM Neuroaxonal Loss in Type 1 Diabetes

Show more Functional

Indexed Content

Current Issue
Accepted Manuscripts
Article Preview
Past Issues
Editorials
Editors Choice
Fellow Journal Club
Letters to the Editor

Cases

Case Collection
Archive - Case of the Week
Archive - Case of the Month
Archive - Classic Case

Special Collections

Special Collections

Resources

News and Updates
Turn around Times
Submit a Manuscript
Author Policies
Manuscript Submission Guidelines
Evidence-Based Medicine Level Guide
Publishing Checklists
Graphical Abstract Preparation
Imaging Protocol Submission
Submit a Case
Become a Reviewer/Academy of Reviewers
Get Peer Review Credit from Publons

Multimedia

AJNR Podcast
AJNR SCANtastic
Video Articles

About Us

About AJNR
Editorial Board
Not an AJNR Subscriber? Join Now
Alerts
Feedback
Advertise with us
Librarian Resources
Permissions
Terms and Conditions

American Society of Neuroradiology

Not an ASNR Member? Join Now

Main menu

User menu

Search

American Journal of Neuroradiology

Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma

In this issue

Citation Manager Formats

Related Articles

Cited By...

More in this TOC Section

Adult Brain

Functional

Similar Articles

Indexed Content

Cases

Special Collections

Resources

Multimedia

About Us

American Society of Neuroradiology