AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium-Reference-Cited by-同舟云学术

AI-based prognostic imaging biomarkers for precision neuro-oncology: the ReSPOND consortium

Published:2020-03-10 Issue:6 Volume:22 Page:886-888
ISSN:1522-8517
Container-title:Neuro-Oncology
language:en
Short-container-title:

Author:

Davatzikos Christos¹²,Barnholtz-Sloan Jill S³^ORCID,Bakas Spyridon¹²⁴,Colen Rivka⁵,Mahajan Abhishek⁶,Quintero Carmen Balaña⁷,Capellades Font Jaume⁸,Puig Josep⁹,Jain Rajan¹⁰,Sloan Andrew E¹¹,Badve Chaitra¹²,Marcus Daniel S¹³,Seong Choi Yoon¹⁴¹⁵,Lee Seung-Koo¹⁴,Chang Jong Hee¹⁶,Poisson Laila M¹⁷,Griffith Brent¹⁸,Dicker Adam P¹⁹,Flanders Adam E²⁰,Booth Thomas C²¹,Rathore Saima¹²,Akbari Hamed¹²,Sako Chiharu¹²,Bilello Michel¹²,Shukla Gaurav¹²²²,Fathi Kazerooni Anahita¹²,Brem Steven⁴,Lustig Robert²²,Mohan Suyash²,Bagley Stephen²³,Nasrallah MacLean²⁴,O’Rourke Donald M⁴

Affiliation:

1. Center for Biomedical Image Computing and Analytics, University of Pennsylvania, Philadelphia, Pennsylvania, USA

2. Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA

3. Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA

4. Department of Neurosurgery, University of Pennsylvania, Philadelphia, Pennsylvania, USA

5. Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

6. Department of Radiodiagnosis & Imaging, Tata Memorial Hospital

7. Catalan Institute of Oncology, Barcelona, Spain

8. Hospital del Mar, Barcelona, Barcelona, Spain

9. Department of Radiology, University of Manitoba Winnipeg, Manitoba, Canada

10. Department of Radiology, New York University

11. Department of Neurosurgery, Case Western Reserve University, Cleveland, Ohio, USA

12. Department of Radiology, Case Western Reserve University, Cleveland, Ohio, USA

13. Department of Radiology, Washington University, St. Louis, Missouri, USA

14. Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea

15. Department of Diagnostic Radiology, Singapore General Hospital, Singapore

16. Department of Neurosurgery, Yonsei University College, Seoul, Korea

17. Department of Public Health Sciences, Henry Ford Health System, Detroit, Michigan, USA

18. Department of Radiology, Henry Ford Health System, Detroit, Michigan, USA

19. Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

20. Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA

21. School of Biomedical Engineering & Imaging Sciences, King’s College London, London, England, UK

22. Department of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania, USA

23. Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA

24. Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA

Funder

Penn Center for Precision Medicine

Seidman Cancer Center

Sidney Kimmel Cancer Center

National Institutes of Health

National Cancer Institute

Abramson Cancer Center

Wellcome/Engineering and Physical Sciences Research Council Center for Medical Engineering

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Clinical Neurology,Oncology

Link

http://academic.oup.com/neuro-oncology/advance-article-pdf/doi/10.1093/neuonc/noaa045/32965917/noaa045.pdf

Reference7 articles.

1. The Cancer Imaging Archive (TCIA): maintaining and operating a public information repository;Clark;J Digit Imaging.,2013

2. Imaging patterns predict patient survival and molecular subtype in glioblastoma via machine learning techniques;Macyszyn;Neuro Oncol.,2016

3. Imaging surrogates of infiltration obtained via multiparametric imaging pattern analysis predict subsequent location of recurrence of glioblastoma;Akbari;Neurosurgery.,2016

4. Radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma: implications for personalized radiotherapy planning;Rathore;J Med Imaging (Bellingham).,2018

Cited by 37 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. Circulating biomarkers literature in glioma patient populations;Neurosurgical Review;2024-08-27

2. Artificial intelligence innovations in neurosurgical oncology: a narrative review;Journal of Neuro-Oncology;2024-07-03

3. Privacy preservation for federated learning in health care;Patterns;2024-07

4. Sex-Specific Differences in Patients withIDH1–Wild-Type Grade 4 Glioma in the ReSPOND Consortium;American Journal of Neuroradiology;2024-04-29

5. Post-treatment imaging of gliomas: challenging the existing dogmas;CLIN RADIOL;2024