The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis-Reference-Cited by-同舟云学术

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The utility of quantitative CT radiomics features for improved prediction of radiation pneumonitis

Published:2018-09-24 Issue:11 Volume:45 Page:5317-5324
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Krafft Shane P.¹²,Rao Arvind³,Stingo Francesco⁴,Briere Tina Marie¹,Court Laurence E.¹,Liao Zhongxing⁵,Martel Mary K.¹

Affiliation:

1. Department of Radiation Physics The University of Texas MD Anderson Cancer Center Houston TX USA

2. The University of Texas Graduate School of Biomedical Sciences at Houston Houston TX USA

3. Department of Bioinformatics and Computational Biology The University of Texas MD Anderson Cancer Center Houston TX USA

4. Department of Biostatistics The University of Texas MD Anderson Cancer Center Houston TX USA

5. Department of Radiation Oncology The University of Texas MD Anderson Cancer Center Houston TX USA

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.13150

Reference44 articles.

1. Radiation Dose–Volume Effects in the Lung

2. A literature-based meta-analysis of clinical risk factors for development of radiation induced pneumonitis

3. Nondosimetric Risk Factors for Radiation-Induced Lung Toxicity

4. The Lessons of QUANTEC: Recommendations for Reporting and Gathering Data on Dose–Volume Dependencies of Treatment Outcome

5. Challenges in defining radiation pneumonitis in patients with lung cancer

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