Literature DB >> 8113100

Dose-volume histogram and 3-D treatment planning evaluation of patients with pneumonitis.

M K Martel1, R K Ten Haken, M B Hazuka, A T Turrisi, B A Fraass, A S Lichter.   

Abstract

PURPOSE: Tolerance of normal lung to inhomogeneous irradiation of partial volumes is not well understood. This retrospective study analyzes three-dimensional (3-D) dose distributions and dose-volume histograms for 63 patients who have had normal lung irradiated in two types of treatment situations. METHODS AND MATERIALS: 3-D treatment plans were examined for 21 patients with Hodgkin's disease and 42 patients with nonsmall-cell lung cancer. All patients were treated with conventional fractionation, with a dose of 67 Gy (corrected) or higher for the lung cancer patients. A normal tissue complication probability description and a dose-volume histogram reduction scheme were used to assess the data. Mean dose to lung was also calculated.
RESULTS: Five Hodgkin's disease patients and nine lung cancer patients developed pneumonitis. Data were analyzed for each individual independent lung and for the total lung tissue (lung as a paired organ). Comparisons of averages of mean lung dose and normal tissue complication probabilities show a difference between patients with and without complications. Averages of calculated normal tissue complication probabilities for groups of patients show that empirical model parameters correlate with actual complication rates for the Hodgkin's patients, but not as well for the individual lungs of the lung cancer patients treated to larger volumes of normal lung and high doses.
CONCLUSION: This retrospective study of the 3-D dose distributions for normal lung for two types of treatment situations for patients with irradiated normal lung gives useful data for the characterization of the dose-volume relationship and the development of pneumonitis. These data can be used to help set up a dose escalation protocol for the treatment of nonsmall-cell lung cancer.

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Year:  1994        PMID: 8113100     DOI: 10.1016/0360-3016(94)90181-3

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  34 in total

1.  [Inverse radiotherapy planning].

Authors:  W Schlegel; P Kneschaurek
Journal:  Strahlenther Onkol       Date:  1999-05       Impact factor: 3.621

2.  Analysis of dose-volume parameters predicting radiation pneumonitis in patients with esophageal cancer treated with 3D-conformal radiation therapy or IMRT.

Authors:  Gaurav Kumar; Sheh Rawat; Abhishek Puri; Manoj Kumar Sharma; Pranav Chadha; Anand Giri Babu; Girigesh Yadav
Journal:  Jpn J Radiol       Date:  2011-12-14       Impact factor: 2.374

Review 3.  Radiation dose-volume effects in the lung.

Authors:  Lawrence B Marks; Soren M Bentzen; Joseph O Deasy; Feng-Ming Spring Kong; Jeffrey D Bradley; Ivan S Vogelius; Issam El Naqa; Jessica L Hubbs; Joos V Lebesque; Robert D Timmerman; Mary K Martel; Andrew Jackson
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

4.  [The inhalation versus systemic prevention of pneumonitis during thoracic irradiation].

Authors:  J Pagel; M Mohorn; K H Kloetzer; M Fleck; T G Wendt
Journal:  Strahlenther Onkol       Date:  1998-01       Impact factor: 3.621

5.  Adaptive radiotherapy in lung cancer: dosimetric benefits and clinical outcome.

Authors:  T Kataria; D Gupta; S S Bisht; N Karthikeyan; S Goyal; L Pushpan; A Abhishek; H B Govardhan; V Kumar; K Sharma; S Jain; T Basu; A Srivastava
Journal:  Br J Radiol       Date:  2014-03-17       Impact factor: 3.039

6.  Combining multiple models to generate consensus: application to radiation-induced pneumonitis prediction.

Authors:  Shiva K Das; Shifeng Chen; Joseph O Deasy; Sumin Zhou; Fang-Fang Yin; Lawrence B Marks
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

7.  Investigation of the support vector machine algorithm to predict lung radiation-induced pneumonitis.

Authors:  Shifeng Chen; Sumin Zhou; Fang-Fang Yin; Lawrence B Marks; Shiva K Das
Journal:  Med Phys       Date:  2007-10       Impact factor: 4.071

Review 8.  Radiation-related treatment effects across the age spectrum: differences and similarities or what the old and young can learn from each other.

Authors:  Matthew J Krasin; Louis S Constine; Debra L Friedman; Lawrence B Marks
Journal:  Semin Radiat Oncol       Date:  2010-01       Impact factor: 5.934

9.  Taurine attenuates radiation-induced lung fibrosis in C57/Bl6 fibrosis prone mice.

Authors:  W B Robb; C Condron; M Moriarty; T N Walsh; D J Bouchier-Hayes
Journal:  Ir J Med Sci       Date:  2009-07-16       Impact factor: 1.568

10.  Using machine learning to predict radiation pneumonitis in patients with stage I non-small cell lung cancer treated with stereotactic body radiation therapy.

Authors:  Gilmer Valdes; Timothy D Solberg; Marina Heskel; Lyle Ungar; Charles B Simone
Journal:  Phys Med Biol       Date:  2016-07-27       Impact factor: 3.609

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