아주대 / 허재성, 노오규*
Abstract
PURPOSE:
Postoperative radiation therapy may have a detrimental effect on survival in patients with non-small cell lung cancer. We investigated the association of the lung radiation dose with the risk of death in patients treated with postoperative radiation therapy.
METHODS:
We analyzed 178 patients with non-small cell lung cancer who received postoperative radiation therapy. The mean lung dose was calculated from dose-volume data, and we categorized patients into the high and low lung dose groups using 2 different methods; (1) simple grouping using the median lung dose of all patients, and (2) stratified grouping using the median lung dose of each subgroup sharing the same confounders. We compared clinical variables, and survival between the high and low lung dose groups.
RESULTS:
In the simple grouping, there were no significant differences in survivals between the high and low lung dose groups. After stratification, the overall survival of low lung dose group was significantly longer than that of high lung dose group (5-year survival, 60.1% vs. 35.3%, p = 0.039). On multivariable analyses, the lung dose remained a significant prognostic factor for overall survival (hazard ratio, HR = 2.08, p = 0.019).
CONCLUSIONS:
The lung dose was associated with the risk of death in patients with non-small cell lung cancer having the same confounders. Further studies evaluating the risk of death according to the lung dose will be helpful to administer more precise and individualized postoperative radiation therapy.
Author information
Heo J1, Noh OK2, Kim HI1, Chun M1, Cho O1, Park RW3, Yoon D3, Oh YT1.
1
Department of Radiation Oncology, Ajou University School of Medicine, Suwon, Republic of Korea.
2
Department of Radiation Oncology, Ajou University School of Medicine, Suwon, Republic of Korea; Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea; Office of Biostatistics, Ajou University School of Medicine, Suwon, Republic of Korea. Electronic address: okyu.noh@gmail.com.
3
Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Republic of Korea.