Literature DB >> 8310136

A new method to determine dose-effect relations for local lung-function changes using correlated SPECT and CT data.

L J Boersma1, E M Damen, R W de Boer, S H Muller, R A Valdés Olmos, C A Hoefnagel, C M Roos, N van Zandwijk, J V Lebesque.   

Abstract

PURPOSE: To determine dose-effect relations for regional lung-function changes after radiotherapy.
METHODS: Single Photon Emission Computed Tomography (SPECT) was performed to quantify regional ventilation and perfusion. CT scans were used to calculate the three-dimensional (3-D) dose distribution. Both SPECT and CT scans were performed prior to radiotherapy and 5 months after the start of the treatment. To obtain combined 3-D information on ventilation, perfusion and dose, the SPECT data were correlated with the corresponding CT data. The relative changes in ventilation and perfusion were calculated in each SPECT voxel (voxel size about 6 x 6 x 6 mm) and related to the dose in that voxel. The average relative changes were determined per dose interval of 4 Gy. This procedure was evaluated using the data from five patients treated for Hodgkin's disease with mantle field irradiation with a prescribed total dose of 40-42 Gy.
RESULTS: Dose-effect relations for perfusion were observed in all patients, while in four of the five patients, a dose-effect relation was found for ventilation. The maximal uncertainty of the calculated radiation dose was 11%: a difference between the position of the patient during treatment and during CT scanning caused a maximal dose uncertainty of 6%, while the accuracy of the dose calculation algorithm itself was estimated to be within 5%.
CONCLUSION: The results indicate that the combined use of SPECT and CT information is an effective method for determining dose-effect relations for regional lung function parameters in each individual patient.

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Year:  1993        PMID: 8310136     DOI: 10.1016/0167-8140(93)90235-z

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  11 in total

1.  Functional dose-volume histograms for predicting radiation pneumonitis in locally advanced non-small cell lung cancer treated with late-course accelerated hyperfractionated radiotherapy.

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2.  Decreased Lung Perfusion After Breast/Chest Wall Irradiation: Quantitative Results From a Prospective Clinical Trial.

Authors:  Adam L Liss; Robin B Marsh; Nirav S Kapadia; Daniel L McShan; Virginia E Rogers; James M Balter; Jean M Moran; Kristy K Brock; Matt J Schipper; Reshma Jagsi; Kent A Griffith; Kevin R Flaherty; Kirk A Frey; Lori J Pierce
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-10-19       Impact factor: 7.038

3.  Reproducibility of four-dimensional computed tomography-based lung ventilation imaging.

Authors:  Tokihiro Yamamoto; Sven Kabus; Jens von Berg; Cristian Lorenz; Melody P Chung; Julian C Hong; Billy W Loo; Paul J Keall
Journal:  Acad Radiol       Date:  2012-09-10       Impact factor: 3.173

4.  Prospective assessment of dosimetric/physiologic-based models for predicting radiation pneumonitis.

Authors:  Zafer Kocak; Gerben R Borst; Jing Zeng; Sumin Zhou; Donna R Hollis; Junan Zhang; Elizabeth S Evans; Rodney J Folz; Terrence Wong; Daniel Kahn; Jose S A Belderbos; Joos V Lebesque; Lawrence B Marks
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-01-01       Impact factor: 7.038

5.  Lung perfusion imaging can risk stratify lung cancer patients for the development of pulmonary complications after chemoradiation.

Authors:  Isis W Gayed; Joe Chang; E Edmund Kim; Rodolfo Nuñez; Beth Chasen; H Helen Liu; Katsuhiro Kobayashi; Yujing Zhang; Zhongxing Liao; Salman Gohar; Melinda Jeter; Louise Henderson; William Erwin; Ritsuko Komaki
Journal:  J Thorac Oncol       Date:  2008-08       Impact factor: 15.609

6.  Liver function after irradiation based on computed tomographic portal vein perfusion imaging.

Authors:  Yue Cao; Charlie Pan; James M Balter; Joel F Platt; Isaac R Francis; James A Knol; Daniel Normolle; Edgar Ben-Josef; Randall K Ten Haken; Theodore S Lawrence
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-09-12       Impact factor: 7.038

7.  Modeling Patient-Specific Dose-Function Response for Enhanced Characterization of Personalized Functional Damage.

Authors:  Daniel Rocky Owen; Phillip S Boonstra; Benjamin L Viglianti; James M Balter; Matthew J Schipper; William C Jackson; Issam El Naqa; Shruti Jolly; Randall K Ten Haken; Feng-Ming Spring Kong; Martha M Matuszak
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-06-01       Impact factor: 7.038

8.  Functional dosimetric metrics for predicting radiation-induced lung injury in non-small cell lung cancer patients treated with chemoradiotherapy.

Authors:  Dongqing Wang; Jinbo Sun; Jingyu Zhu; Xiaohong Li; Yanbo Zhen; Songtao Sui
Journal:  Radiat Oncol       Date:  2012-05-17       Impact factor: 3.481

Review 9.  The Role of Mesenchymal Stem Cells in Radiation-Induced Lung Fibrosis.

Authors:  Michele Zanoni; Michela Cortesi; Alice Zamagni; Anna Tesei
Journal:  Int J Mol Sci       Date:  2019-08-08       Impact factor: 5.923

10.  Quantifying ventilation change due to radiation therapy using 4DCT Jacobian calculations.

Authors:  Taylor J Patton; Sarah E Gerard; Wei Shao; Gary E Christensen; Joseph M Reinhardt; John E Bayouth
Journal:  Med Phys       Date:  2018-08-31       Impact factor: 4.071

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