Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study-Reference-Cited by-同舟云学术

Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study

Published:2018-11-01 Issue:12 Volume:39 Page:2187-2193
ISSN:0195-6108
Container-title:American Journal of Neuroradiology
language:en
Short-container-title:AJNR Am J Neuroradiol

Author:

Ismail M.^ORCID,Hill V.^ORCID,Statsevych V.^ORCID,Huang R.^ORCID,Prasanna P.^ORCID,Correa R.^ORCID,Singh G.^ORCID,Bera K.^ORCID,Beig N.^ORCID,Thawani R.^ORCID,Madabhushi A.^ORCID,Aahluwalia M.^ORCID,Tiwari P.^ORCID

Funder

DOD Prostate Cancer Idea Development Award

DOD Lung Cancer Idea Development Award

National Center for Research Resources

Dana Foundation David Mahoney Neuroimaging Program

Ohio Third Frontier Technology Validation Fund

Wallace H. Coulter Foundation Program in the Department of Biomedical Engineering and the Clinical and Translational Science Award Program (CTSA) at Case Western Reserve University

National Cancer Institute of the National Institutes of Health

Publisher

American Society of Neuroradiology (ASNR)

Subject

Clinical Neurology,Radiology Nuclear Medicine and imaging

Reference30 articles.

1. Evaluation of pseudoprogression rates and tumor progression patterns in a phase III trial of bevacizumab plus radiotherapy/temozolomide for newly diagnosed glioblastoma

2. Pseudoprogression and pseudoresponse: Challenges in brain tumor imaging

3. The Diagnosis and Treatment of Pseudoprogression, Radiation Necrosis and Brain Tumor Recurrence

4. Updated Response Assessment Criteria for High-Grade Gliomas: Response Assessment in Neuro-Oncology Working Group

5. Bidimensional Measurements in Brain Tumors: Assessment of Interobserver Variability

Cited by 68 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shape matters: unsupervised exploration of IDH-wildtype glioma imaging survival predictors;European Radiology;2024-09-09

2. MRI-based habitat imaging in cancer treatment: current technology, applications, and challenges;Cancer Imaging;2024-08-15

3. Diagnosing Progression in Glioblastoma—Tackling a Neuro-Oncology Problem Using Artificial-Intelligence-Derived Volumetric Change over Time on Magnetic Resonance Imaging to Examine Progression-Free Survival in Glioblastoma;Diagnostics;2024-06-28

4. Graph-Radiomics Learning (GrRAiL): Application to Distinguishing Glioblastoma Recurrence from Pseudo-Progression on Structural MRI;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27

5. Radio-anatomical evaluation of clinical and radiomic profile of multi-parametric magnetic resonance imaging of de novo glioblastoma multiforme;Journal of the Egyptian National Cancer Institute;2024-04-22