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Title of Journal: Clin Transl Oncol

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Abbravation: Clinical and Translational Oncology

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Springer Milan

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DOI

10.1007/bf00205582

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ISSN

1699-3055

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Dose–volume histogram parameters for predicting ra

Authors: Dongqing Wang Jian Shi Shaohua Liang Shiyong Lu Xiangjie Qi Qiang Wang Guojing Zheng Sheng Wang Kemin Zhang Hongfu Liu
Publish Date: 2012/09/14
Volume: 15, Issue: 5, Pages: 364-369
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Abstract

One hundred and thirtyfive cases of locally advanced nonsmall cell lung cancer patients treated with threedimensional radiotherapy and chemotherapy were analyzed retrospectively The end point of followup was ≥2 grade RP defined according to the National Cancer Institute Common Terminology Criteria for Adverse Events version 30 The ROC curve was used to explore the predictive sensitivity SEN specificity SPE positive predictive value PPV and negative predictive value NPV for potential DVH parameters associated with RPRelative volumes of total lungs receiving ≥5 Gy V 5 ≥10 Gy V 10 ≥13 Gy V 13 ≥20 Gy V 20 and mean lung dose MLD were all correlated to the development of RP p  005 among which V 5 and V 20 were the most important factors p = 0045 and 0037 OR = 3166 and 3030 However collinearity was found between V 5 and V 20 Spearman’s rho 0771 p  001 The area under the ROC curve was 0643 and 0648 for using V 5 and V 20 as predictors If predictive cutoff values were established as follows V 5 = 08 and V 20 = 03 the parameters could provide predictive SEN SPE PPV and NPV were 0387 and 0581 0882 and 0701 0444 and 0321 and 0855 and 0873 respectively


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