Comments on 'Reconsidering the definition of a dose-volume histogram' dose-mass histogram (DMH) versus dose-volume histogram (DVH) for predicting radiation-induced pneumonitis

被引:13
|
作者
Mavroidis, Panayiotis [1 ]
Plataniotis, Georgios A.
Gorka, Magdalena Adamus
Lind, Bengt K.
机构
[1] Karolinska Inst, Dept Med Radiat Phys, S-10401 Stockholm, Sweden
[2] Stockholm Univ, S-10691 Stockholm, Sweden
[3] Larissa Univ Hosp, Dept Med Phys, Larisa, Greece
[4] Larissa Univ Hosp, Dept Radiotherapy, Larisa, Greece
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2006年 / 51卷 / 24期
关键词
D O I
10.1088/0031-9155/51/24/L01
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In a recently published paper (Nioutsikou et al 2005 Phys. Med. Biol. 50 L17) the authors showed that the use of the dose-mass histogram (DMH) concept is a more accurate descriptor of the dose delivered to lung than the traditionally used dose-volume histogram (DVH) concept. Furthermore, they state that if a functional imaging modality could also be registered to the anatomical imaging modality providing a functional weighting across the organ (functional mass) then the more general and realistic concept of the dose-functioning mass histogram (D[F]MH) could be an even more appropriate descriptor. The comments of the present letter to the editor are in line with the basic arguments of that work since their general conclusions appear to be supported by the comparison of the DMH and DVH concepts using radiobiological measures. In this study, it is examined whether the dose-mass histogram (DMH) concept deviated significantly from the widely used dose-volume histogram (DVH) concept regarding the expected lung complications and if there are clinical indications supporting these results. The problem was investigated theoretically by applying two hypothetical dose distributions (Gaussian and semi-Gaussian shaped) on two lungs of uniform and varying densities. The influence of the deviation between DVHs and DMHs on the treatment outcome was estimated by using the relative seriality and LKB models using the Gagliardi et al (2000 Int. J. Radiat. Oncol. Biol. Phys. 46 373) and Seppenwoolde et al (2003 Int. J. Radiat. Oncol. Biol. Phys. 55 724) parameter sets for radiation pneumonitis, respectively. Furthermore, the biological equivalent of their difference was estimated by the biologically effective uniform dose (D) and equivalent uniform dose (EUD) concepts, respectively. It is shown that the relation between the DVHs and DMHs varies depending on the underlying cell density distribution and the applied dose distribution. However, the range of their deviation in terms of the expected clinical outcome was proven to be very large. Concluding, the effectiveness of the dose distribution delivered to the patients seems to be more closely related to the radiation effects when using the DMH concept.
引用
收藏
页码:43 / 50
页数:8
相关论文
共 50 条
  • [41] Comparison of rectal dose-wall histogram versus dose-volume histogram for modeling the incidence of late rectal bleeding after radiotherapy
    Tucker, SL
    Dong, L
    Cheung, R
    Johnson, J
    Mohan, R
    Huang, EH
    Liu, HH
    Thames, HD
    Kuban, D
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2004, 60 (05): : 1589 - 1601
  • [42] Head and Neck Salivary Gland Spatial Dose-Volume histogram (DVH) Patterns Predict Radiation-Induced Xerostomia, From Injury to Recovery
    Han, P.
    Lakshminarayanan, P.
    Liang, W.
    Shpitser, I.
    Hui, X.
    Lee, S.
    Cheng, Z.
    Guo, Y.
    Taylor, R.
    Siddiqui, S.
    Bowers, M.
    Sheikh, K.
    Lee, J.
    Quon, H.
    McNutt, T.
    [J]. MEDICAL PHYSICS, 2018, 45 (06) : E627 - E627
  • [43] Radiation induced hypothyroidism in squamous cell carcinoma of the head and neck: A dose-volume histogram analysis
    Miyawaki, D.
    Mukumoto, N.
    Ejima, Y.
    Yoshida, K.
    Ishihara, T.
    Kiyota, N.
    Saito, M.
    Otsuki, N.
    Nibu, K. I.
    Sasaki, R.
    [J]. EUROPEAN JOURNAL OF CANCER, 2015, 51 : S571 - S571
  • [44] Dose-Volume Histogram Modeling Using the Gaussian Error Function in Radiotherapy
    Chow, J.
    Markel, D.
    Jiang, R.
    [J]. MEDICAL PHYSICS, 2008, 35 (06)
  • [45] DOSE-VOLUME HISTOGRAM ANALYSIS OF TECHNIQUES FOR IRRADIATING PITUITARY-ADENOMAS
    SOHN, JW
    DALZELL, JG
    SUH, JH
    TEFFT, M
    SCHELL, MC
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1995, 32 (03): : 831 - 837
  • [46] A new homogeneity index based on statistical analysis of the dose-volume histogram
    Yoon, Myonggeun
    Park, Sung Yong
    Shin, Dongho
    Lee, Se Byeong
    Pyo, Hong Ryull
    Kim, Dae Yong
    Cho, Kwan Ho
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2007, 8 (02): : 9 - 17
  • [47] Impact of tissue assignment for preclinical radiotherapy: A dose-volume histogram analysis
    Noblet, C.
    Chiavassa, S.
    Paris, F.
    Suhard, J.
    Lisbona, A.
    Delpon, G.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2014, 111 : S68 - S68
  • [48] Are gamma passing rate and dose-volume histogram QA metrics correlated?
    Baran, Mateusz
    Tabor, Zbistaw
    Tulik, Monika
    Kabat, Damian
    Rzecki, Krzysztof
    Sosnicki, Tomasz
    Waligorski, Michael
    [J]. MEDICAL PHYSICS, 2021, 48 (09) : 4743 - 4753
  • [49] Dose-volume histogram objectives in multi-criteria IMRT optimization
    Halabi, T.
    Craft, D.
    Bortfeld, T.
    [J]. MEDICAL PHYSICS, 2006, 33 (06) : 2089 - 2089
  • [50] Addendum to brachytherapy dose-volume histogram commissioning with multiple planning systems
    Gossman, Michael S.
    [J]. JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2016, 17 (03): : 502 - 505