Dose–volume histogram parameters for predicting radiation pneumonitis using receiver operating characteristic curve

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• 作者：Dongqing Wang (1)
  Jian Shi (2)
  Shaohua Liang (3)
  Shiyong Lu (2)
  Xiangjie Qi (2)
  Qiang Wang (2)
  Guojing Zheng (2)
  Sheng Wang (2)
  Kemin Zhang (4)
  Hongfu Liu (3)
  
• 关键词：Non ; small cell lung cancer ; Radiation therapy ; Radiation pneumonitis ; Dose–volume histogram
• 刊名：Clinical and Translational Oncology
• 出版年：2013
• 出版时间：May 2013
• 年：2013
• 卷：15
• 期：5
• 页码：364-369
• 全文大小：245KB
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• 作者单位：Dongqing Wang (1)
  Jian Shi (2)
  Shaohua Liang (3)
  Shiyong Lu (2)
  Xiangjie Qi (2)
  Qiang Wang (2)
  Guojing Zheng (2)
  Sheng Wang (2)
  Kemin Zhang (4)
  Hongfu Liu (3)
  
  1. Department of Radiation Oncology, Shandong Cancer Hospital, Shandong Academy of Medical Sciences, Jinan, People’s Republic of China
  2. Department of Radiation Oncology, People’s Hospital of LinZi District, Affiliated to Binzhou Medical College, Zibo, People’s Republic of China
  3. Binzhou Medical University, 346 Guanhai Road, Laishan District, Yantai, 264003, People’s Republic of China
  4. Central Hospital of Binzhou, Binzhou, People’s Republic of China
  

文摘

Objective To assess the predictability of dose–volume histogram (DVH) parameters for radiation pneumonitis (RP) using receiver operating characteristic (ROC) curve. Methods One hundred and thirty-five cases of locally advanced non-small cell lung cancer patients treated with three-dimensional radiotherapy and chemotherapy were analyzed retrospectively. The end point of follow-up was ? grade RP defined according to the National Cancer Institute Common Terminology Criteria for Adverse Events, version 3.0. 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 RP. Results Relative volumes of total lungs receiving ??Gy (V 5), ?0?Gy (V 10), ?3?Gy (V 13), ?0?Gy (V 20), and mean lung dose (MLD), were all correlated to the development of RP (p?<?0.05), among which V 5 and V 20 were the most important factors (p?=?0.045 and 0.037; OR?=?3.166 and 3.030). However, collinearity was found between V 5 and V 20 (Spearman’s rho 0.771, p?<?0.01). The area under the ROC curve was 0.643 and 0.648 for using V 5 and V 20 as predictors. If predictive cut-off values were established as follows: V 5?=?0.8 and V 20?=?0.3, the parameters could provide predictive SEN, SPE, PPV and NPV were 0.387 and 0.581, 0.882 and 0.701, 0.444 and 0.321, and 0.855 and 0.873, respectively. Conclusions V 5 and V 20 could act as predictors for RP; however, single DVH metrics did not appear to have high predictive power for RP.