Tumor Habitat–derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study-Reference-Cited by-同舟云学术

Tumor Habitat–derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study

Published:2020-11-01 Issue:6 Volume:2 Page:e190168
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Verma Ruchika^ORCID,Correa Ramon^ORCID,Hill Virginia B.^ORCID,Statsevych Volodymyr^ORCID,Bera Kaustav,Beig Niha^ORCID,Mahammedi Abdelkader^ORCID,Madabhushi Anant^ORCID,Ahluwalia Manmeet,Tiwari Pallavi

Funder

Dana Foundation

The V Foundation

National Cancer Institute

National Heart, Lung and Blood Institute

National Institute for Biomedical Imaging and Bioengineering

Publisher

Radiological Society of North America (RSNA)

Subject

Artificial Intelligence,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.2020190168