Harnessing data science to advance radiation oncology-Reference-Cited by-同舟云学术

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Harnessing data science to advance radiation oncology

Published:2020-05-18 Issue:7 Volume:14 Page:1514-1528
ISSN:1574-7891
Container-title:Molecular Oncology
language:en
Short-container-title:Mol Oncol

Author:

Vogelius Ivan R.¹²^ORCID,Petersen Jens³,Bentzen Søren M.⁴

Affiliation:

1. Deptartment of Oncology Rigshospitalet Copenhagen Denmark

2. Faculty of Health and Medical Sciences University of Copenhagen Denmark

3. Deptartment of Computer Science University of Copenhagen Denmark

4. Department of Epidemiology & Public Health Greenebaum Cancer Center University of Maryland Baltimore MD USA

Funder

Maryland Department of Health and Mental Hygiene

Varian Medical Systems

National Cancer Institute

Kræftens Bekæmpelse

Publisher

Wiley

Subject

Cancer Research,Genetics,Molecular Medicine,General Medicine,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/1878-0261.12685

Reference80 articles.

1. What do we mean by validating a prognostic model?

2. Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients

3. Randomized Phase III Trial of Concurrent Accelerated Radiation Plus Cisplatin With or Without Cetuximab for Stage III to IV Head and Neck Carcinoma: RTOG 0522

4. Towards individualized dose constraints: Adjusting the QUANTEC radiation pneumonitis model for clinical risk factors

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