Literature DB >> 17148814

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

Panayiotis Mavroidis, Georgios A Plataniotis, Magdalena Adamus Górka, Bengt K Lind.   

Abstract

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.

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Year:  2006        PMID: 17148814     DOI: 10.1088/0031-9155/51/24/L01

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  6 in total

1.  A graphic user interface toolkit for specification, report and comparison of dose-response relations and treatment plans using the biologically effective uniform dose.

Authors:  Fan-Chi Su; Panayiotis Mavroidis; Chengyu Shi; Brigida Costa Ferreira; Niko Papanikolaou
Journal:  Comput Methods Programs Biomed       Date:  2010-03-24       Impact factor: 5.428

2.  Dose-mass inverse optimization for minimally moving thoracic lesions.

Authors:  I B Mihaylov; E G Moros
Journal:  Phys Med Biol       Date:  2015-04-24       Impact factor: 3.609

3.  Evaluation on lung cancer patients' adaptive planning of TomoTherapy utilising radiobiological measures and Planned Adaptive module.

Authors:  Fan-Chi Su; Chengyu Shi; Panayiotis Mavroidis; Prema Rassiah-Szegedi; Niko Papanikolaou
Journal:  J Radiother Pract       Date:  2009-01-01

4.  Quantitative assessment of irradiated lung volume and lung mass in breast cancer patients treated with tangential fields in combination with deep inspiration breath hold (DIBH).

Authors:  Brigitte Zurl; Heidi Stranzl; Peter Winkler; Karin Sigrid Kapp
Journal:  Strahlenther Onkol       Date:  2010-02-22       Impact factor: 3.621

Review 5.  Mathematical Formulation of DMH-Based Inverse Optimization.

Authors:  Ivaylo B Mihaylov; Eduardo G Moros
Journal:  Front Oncol       Date:  2014-11-17       Impact factor: 6.244

6.  The effect of interfraction prostate motion on IMRT plans: a dose-volume histogram analysis using a Gaussian error function model.

Authors:  James C L Chow; Runqing Jiang; Daniel Markel
Journal:  J Appl Clin Med Phys       Date:  2009-09-30       Impact factor: 2.102

  6 in total

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