Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis

被引:8
|
作者
Uchida, Yasuki [1 ]
Tsugawa, Takuya [2 ]
Tanaka-Mizuno, Sachiko [3 ,4 ]
Noma, Kazuo [5 ]
Aoki, Ken [2 ]
Shigemori, Wataru [1 ]
Nakagawa, Hiroaki [1 ]
Kinose, Daisuke [1 ]
Yamaguchi, Masafumi [1 ]
Osawa, Makoto [1 ,6 ]
Ogawa, Emiko [1 ,7 ]
Nakano, Yasutaka [1 ]
机构
[1] Shiga Univ Med Sci, Div Resp Med, Dept Internal Med, Otsu, Shiga, Japan
[2] Shiga Univ Med Sci, Dept Radiol, Otsu, Shiga, Japan
[3] Shiga Univ Med Sci, Dept Med Stat, Otsu, Shiga, Japan
[4] Shiga Univ, Ctr Data Sci Educ & Res, Hikone, Shiga, Japan
[5] Shiga Univ Med Sci Hosp, Dept Radiol, Otsu, Shiga, Japan
[6] Shiga Univ Med Sci Hosp, Div Infect Control & Prevent, Otsu, Shiga, Japan
[7] Shiga Univ Med Sci, Hlth Adm Ctr, Otsu, Shiga, Japan
来源
RADIATION ONCOLOGY | 2017年 / 12卷
关键词
Radiation pneumonitis; Chronic obstructive pulmonary disease; Low attenuation volume; Dosimetric parameter; Lung cancer; STEREOTACTIC BODY RADIOTHERAPY; OBSTRUCTIVE PULMONARY-DISEASE; HISTOGRAM ANALYSIS; COMPUTED-TOMOGRAPHY; CANCER PATIENTS; BRONCHOALVEOLAR LAVAGE; THERAPY; CHEMORADIATION; ASSOCIATION; PARAMETERS;
D O I
10.1186/s13014-017-0891-z
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: The risk factors for radiation pneumonitis (RP) in patients with chronic obstructive pulmonary disease (COPD) are unclear. Mean lung dose (MLD) and percentage of irradiated lung volume are common predictors of RP, but the most accurate dosimetric parameter has not been established. We hypothesized that the total lung volume irradiated without emphysema would influence the onset of RP. Methods: We retrospectively evaluated 100 patients who received radiotherapy for lung cancer. RP was graded according to the Common Terminology Criteria for Adverse Events (version 4.03). We quantified low attenuation volume (LAV) using quantitative computed tomography analysis. The association between RP and traditional dosimetric parameters including MLD, volume of the lung receiving a dose of >= 2 Gy, >= 5 Gy, >= 10 Gy, >= 20 Gy, and >= 30 Gy, and counterpart measurements of the lung without LAV, were analyzed by logistic regression. We compared each dosimetric parameter for RP using multiple predictive performance measures including area under the receiver operating characteristic curve (AUC) and integrated discrimination improvement (IDI). Results: Of 100 patients, RP of Grades 1, 2, 3, 4, and 5 was diagnosed in 24, 12, 13, 1, and 1 patients, respectively. Compared with traditional dosimetric parameters, counterpart measurements without LAV improved risk prediction of symptomatic RP. The ratio of the lung without LAV receiving >= 30 Gy to the total lung volume without LAV most accurately predicted symptomatic RP (AUC, 0.894; IDI, 0.064). Conclusion: Irradiated lung volume without LAV predicted RP more accurately than traditional dosimetric parameters.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Exclusion of emphysematous lung from dose-volume estimates of risk improves prediction of radiation pneumonitis
    Yasuki Uchida
    Takuya Tsugawa
    Sachiko Tanaka-Mizuno
    Kazuo Noma
    Ken Aoki
    Wataru Shigemori
    Hiroaki Nakagawa
    Daisuke Kinose
    Masafumi Yamaguchi
    Makoto Osawa
    Emiko Ogawa
    Yasutaka Nakano
    Radiation Oncology, 12
  • [2] Prediction of radiation pneumonitis by dose-volume histogram parameters in lung cancer - A systematic review
    Rodriques, G
    Lock, M
    D'Souza, D
    Yu, E
    Van Dyk, J
    RADIOTHERAPY AND ONCOLOGY, 2004, 73 : S26 - S26
  • [3] Prediction of radiation pneumonitis by dose-volume histogram parameters in lung cancer - a systematic review
    Rodrigues, G
    Lock, M
    D'Souza, D
    Yu, E
    Van Dyk, J
    RADIOTHERAPY AND ONCOLOGY, 2004, 71 (02) : 127 - 138
  • [4] Evaluation of two dose-volume histogram reduction models for the prediction of radiation pneumonitis
    Kwa, SLS
    Theuws, CM
    Wagenaar, A
    Damen, EMF
    Boersma, LJ
    Baas, P
    Muller, SH
    Lebesque, JV
    RADIOTHERAPY AND ONCOLOGY, 1998, 48 (01) : 61 - 69
  • [5] RADIATION DOSE-VOLUME EFFECTS IN THE LUNG
    Marks, Lawrence B.
    Bentzen, Soren M.
    Deasy, Joseph O.
    Kong, Feng-Ming
    Bradley, Jeffrey D.
    Vogelius, Ivan S.
    El Naqa, Issam
    Hubbs, Jessica L.
    Lebesque, Joos V.
    Timmerman, Robert D.
    Martel, Mary K.
    Jackson, Andrew
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2010, 76 (03): : S70 - S76
  • [6] Radiation pneumonitis and pulmonary function with lung dose-volume constraints in breast cancer irradiation
    Goldman, U. Blom
    Anderson, M.
    Wennberg, B.
    Lind, P.
    JOURNAL OF RADIOTHERAPY IN PRACTICE, 2014, 13 (02) : 211 - 217
  • [7] Dose-Volume Metrics Associated With Radiation Pneumonitis After Stereotactic Body Radiation Therapy for Lung Cancer
    Matsuo, Yukinori
    Shibuya, Keiko
    Nakamura, Mitsuhiro
    Narabayashi, Masaru
    Sakanaka, Katsuyuki
    Ueki, Nami
    Miyagi, Ken
    Norihisa, Yoshiki
    Mizowaki, Takashi
    Nagata, Yasushi
    Hiraoka, Masahiro
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2012, 83 (04): : E545 - E549
  • [8] Uncertainty of dose-volume constraints obtained from radiation pneumonitis dose-response analysis
    Lutz, C. M.
    Moller, D. S.
    Hoffmann, L.
    Khalil, A. A.
    Knap, M. M.
    Alber, M.
    RADIOTHERAPY AND ONCOLOGY, 2017, 123 : S872 - S873
  • [9] Feasibility of Differential Dose-Volume Histogram Features in Multivariate Prediction Model for Radiation Pneumonitis Occurrence
    Katsuta, Yoshiyuki
    Kadoya, Noriyuki
    Sugai, Yuto
    Katagiri, Yu
    Yamamoto, Takaya
    Takeda, Kazuya
    Tanaka, Shohei
    Jingu, Keiichi
    DIAGNOSTICS, 2022, 12 (06)
  • [10] Dose-Volume Predictors of Radiation Pneumonitis After Thoracic Hypofractionated Radiation Therapy
    Sasse, Alexander
    Oh, Patrick
    Saeed, Nadia
    Yang, Daniel X.
    Hayman, Thomas J.
    Knowlton, Christin A.
    Peters, Gabrielle W.
    Campbell, Allison
    Laird, James
    Housri, Nadine
    Park, Henry S.
    PRACTICAL RADIATION ONCOLOGY, 2024, 14 (02) : e97 - e104