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Predicting oropharyngeal tumor volume throughout the course of radiation therapy from pretreatment computed tomography data using general linear models
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10.1118/1.4870437
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    Affiliations:
    1 Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030
    2 Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and the Graduate School of Biomedical Sciences, the University of Texas Health Science Center at Houston, Houston, Texas 77030
    3 Scripps Proton Therapy Center, San Diego, California 92121 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030
    4 Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030
    5 Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030
    6 Department of Radiation Physics and Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030 and The Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030
    Med. Phys. 41, 051705 (2014); http://dx.doi.org/10.1118/1.4870437
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/content/aapm/journal/medphys/41/5/10.1118/1.4870437
2014-04-15
2014-09-22
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Scitation: Predicting oropharyngeal tumor volume throughout the course of radiation therapy from pretreatment computed tomography data using general linear models
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/41/5/10.1118/1.4870437
10.1118/1.4870437
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