Literature DB >> 9226329

Quantification of radiation-induced regional lung injury with perfusion imaging.

L B Marks1, M T Munley, D P Spencer, G W Sherouse, G C Bentel, J Hoppenworth, M Chew, R J Jaszczak, R E Coleman, L R Prosnitz.   

Abstract

PURPOSE: To better understand the dose and time dependence of radiation therapy (RT)-induced regional lung dysfunction as assessed by changes in regional lung perfusion. METHODS AND MATERIALS: Patients who were to receive RT for tumors in and around the thorax, wherein portions of healthy lung would be incidentally irradiated, were prospectively studied. Regional function was assessed pre- and post-RT with single photon emission computed tomography (SPECT) lung perfusion scans, obtained following the intravenous administration of approximately 4 mCi of technetium-99m macroaggregated albumin. Pre-RT computed tomography (CT) scans were used to calculate the three-dimensional (3D) dose distribution, reflecting tissue density inhomogeneity corrections. Each SPECT scan was correlated with the pre-RT CT scan, and the 3D dose distribution. Changes in regional lung perfusion were correlated with regional RT dose, at various time intervals following radiation.
RESULTS: The data from 20 patients (7 breast cancer, 5 lymphoma, 1 esophagus, 1 sarcoma, and 6 lung cancer) have been analyzed. Patients with gross intrathoracic lung cancers causing obstruction of regional pulmonary arteries were not included. For most patients, there is a statistically significant dose-dependent reduction in regional blood flow at all time points following radiation. While a time dependence is suggested in the high dose range, the limited amount of data prevents meaningful statistical evaluation.
CONCLUSIONS: Radiation therapy-induced regional lung dysfunction occurs in a dose-dependent manner and develops within 3-6 months following radiation. In contrast to classical "sigmoid" dose-response curves, described mainly for changes following whole lung irradiation, these data suggest a more gradual relationship between regional dysfunction and RT dose. Retraction of irradiated lung with secondary movement of unirradiated lung into the "3D-defined irradiated volume" may have introduced inaccuracies into this analysis. Additional studies are currently underway to assess this possibility and better refine this dose-response curve. Studies are underway to determine if changes in assessments of whole lung function, such as pulmonary function tests, can be predicted by summing the regional changes observed.

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Year:  1997        PMID: 9226329     DOI: 10.1016/s0360-3016(97)00013-8

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


  27 in total

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Authors:  Victoria L Calveley; Salomeh Jelveh; Aimee Langan; Javed Mahmood; Ivan W T Yeung; Jake Van Dyk; Richard P Hill
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2.  Heart irradiation as a risk factor for radiation pneumonitis.

Authors:  Ellen X Huang; Andrew J Hope; Patricia E Lindsay; Marco Trovo; Issam El Naqa; Joseph O Deasy; Jeffrey D Bradley
Journal:  Acta Oncol       Date:  2010-09-28       Impact factor: 4.089

3.  Quantitative study of lung perfusion SPECT scanning and pulmonary function testing for early radiation-induced lung injury in patients with locally advanced non-small cell lung cancer.

Authors:  Wei Zhang; Jiezhong Wang; Mingdeng Tang; Jianji Pan; Penggang Bai; Duanyu Lin; Feiyu Qian; Fengjie Lin; Xueqin Yang; Shengli Zhang
Journal:  Exp Ther Med       Date:  2012-01-31       Impact factor: 2.447

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

Authors:  Dongqing Wang; Baosheng Li; Zhongtang Wang; Jian Zhu; Hongfu Sun; Jian Zhang; Yong Yin
Journal:  Exp Ther Med       Date:  2011-06-29       Impact factor: 2.447

5.  Dual-energy perfusion CT of non-diseased lung segments using dual-source CT: correlation with perfusion SPECT.

Authors:  Yoshie Kunihiro; Munemasa Okada; Naofumi Matsunaga; Yuichi Sano; Shohei Kudomi; Kazuyoshi Suga; Shoji Kido
Journal:  Jpn J Radiol       Date:  2012-10-19       Impact factor: 2.374

6.  Assessing the impact of radiation-induced changes in soft tissue density ∕ thickness on the study of radiation-induced perfusion changes in the lung and heart.

Authors:  Michael V Lawrence; Mert Saynak; David V Fried; Ted A Bateman; Rebecca L Green; Jessica L Hubbs; Ronald J Jaszczak; Terence Z Wong; Sumin Zhou; Shiva K Das; Lawrence B Marks
Journal:  Med Phys       Date:  2012-12       Impact factor: 4.071

7.  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

8.  Analysis of single nucleotide polymorphisms and radiation sensitivity of the lung assessed with an objective radiologic endpoin.

Authors:  Chris R Kelsey; Isabel L Jackson; Scott Langdon; Kouros Owzar; Jessica Hubbs; Zeljko Vujaskovic; Shiva Das; Lawrence B Marks
Journal:  Clin Lung Cancer       Date:  2013-01-10       Impact factor: 4.785

9.  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

10.  Feasibility of image registration and intensity-modulated radiotherapy planning with hyperpolarized helium-3 magnetic resonance imaging for non-small-cell lung cancer.

Authors:  Rob H Ireland; Chris M Bragg; Mark McJury; Neil Woodhouse; Stan Fichele; Edwin J R van Beek; Jim M Wild; Matthew Q Hatton
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-05-01       Impact factor: 7.038

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