Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 May;15(5):364-9.
doi: 10.1007/s12094-012-0931-y. Epub 2012 Sep 14.

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

Affiliations

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

Dongqing Wang et al. Clin Transl Oncol. 2013 May.

Abstract

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 ≥2 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 ≥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 < 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.

PubMed Disclaimer

Similar articles

Cited by

References

    1. Int J Radiat Oncol Biol Phys. 1999 Sep 1;45(2):323-9 - PubMed
    1. Int J Radiat Oncol Biol Phys. 2013 Feb 1;85(2):444-50 - PubMed
    1. Radiother Oncol. 2004 May;71(2):127-38 - PubMed
    1. Int J Radiat Oncol Biol Phys. 2004 Apr 1;58(5):1378-87 - PubMed
    1. Int J Radiat Oncol Biol Phys. 2002 Oct 1;54(2):340-7 - PubMed

LinkOut - more resources