Literature DB >> 24373453

SPECT-based functional lung imaging for the prediction of radiation pneumonitis: a clinical and dosimetric correlation.

Douglas A Hoover1, Robert H Reid, Eugene Wong, Larry Stitt, Eric Sabondjian, George B Rodrigues, Jasbir K Jaswal, Brian P Yaremko.   

Abstract

INTRODUCTION: When we irradiate lung cancer, the radiation dose that can be delivered safely is limited by the risk of radiation pneumonitis (RP) in the surrounding normal lung. This risk is dose-dependent and is commonly predicted using metrics such as the V20, which are usually formulated assuming homogeneous pulmonary function. Because in vivo pulmonary function is not homogeneous, if highly functioning lung can be identified beforehand and preferentially avoided during treatment, it might be possible to reduce the risk of RP, suggesting the utility of function-based prediction metrics.
METHODS: We retrospectively identified 26 patients who received ventilation and perfusion single photon emission computed tomography (SPECT-CT) immediately prior to curative-intent radiation therapy. Patients were separated into non-RP and RP groups. As-treated dose-volume histogram (DVH), perfusion-SPECT-based and ventilation-SPECT-based dose-function histogram (DFH) parameters were defined for each group and were tested for differences. The relative utilities of ventilation-based and perfusion-based DFH metrics were assessed using receiver operating characteristic (ROC) analysis.
RESULTS: The standard mean lung dose (MLD) was significantly higher in the RP group; the standard V20 and V30 were higher in the RP group but not significantly. Perfusion-weighted and ventilation-weighted values of the MLD, V20 and V30 were all significantly higher in the RP group. ROC analysis suggested that SPECT-based DFH parameters outperformed standard DVH parameters as predictors of RP.
CONCLUSIONS: SPECT-based DFH parameters appear to be useful as predictors of RP.
© 2013 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  DFH; SPECT; dose-function histogram; functional lung imaging; lung cancer

Mesh:

Year:  2013        PMID: 24373453     DOI: 10.1111/1754-9485.12145

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  15 in total

1.  Measuring interfraction and intrafraction lung function changes during radiation therapy using four-dimensional cone beam CT ventilation imaging.

Authors:  John Kipritidis; Geoffrey Hugo; Elisabeth Weiss; Jeffrey Williamson; Paul J Keall
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

2.  Framework for radiation pneumonitis risk stratification based on anatomic and perfused lung dosimetry.

Authors:  Gurleen Dhami; Jing Zeng; Hubert J Vesselle; Paul E Kinahan; Robert S Miyaoka; Shilpen A Patel; Ramesh Rengan; Stephen R Bowen
Journal:  Strahlenther Onkol       Date:  2017-03-02       Impact factor: 3.621

3.  Functional lung avoidance and response-adaptive escalation (FLARE) RT: Multimodality plan dosimetry of a precision radiation oncology strategy.

Authors:  Eunsin Lee; Jing Zeng; Robert S Miyaoka; Jatinder Saini; Paul E Kinahan; George A Sandison; Tony Wong; Hubert J Vesselle; Ramesh Rengan; Stephen R Bowen
Journal:  Med Phys       Date:  2017-06-01       Impact factor: 4.071

Review 4.  Nondosimetric risk factors for radiation-induced lung toxicity.

Authors:  Feng-Ming Spring Kong; Shulian Wang
Journal:  Semin Radiat Oncol       Date:  2014-12-15       Impact factor: 5.934

5.  Lung texture in serial thoracic computed tomography scans: correlation of radiomics-based features with radiation therapy dose and radiation pneumonitis development.

Authors:  Alexandra Cunliffe; Samuel G Armato; Richard Castillo; Ngoc Pham; Thomas Guerrero; Hania A Al-Hallaq
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-02-07       Impact factor: 7.038

6.  Correlation of Functional Lung Heterogeneity and Dosimetry to Radiation Pneumonitis using Perfusion SPECT/CT and FDG PET/CT Imaging.

Authors:  Howard J Lee; Jing Zeng; Hubert J Vesselle; Shilpen A Patel; Ramesh Rengan; Stephen R Bowen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-06-01       Impact factor: 7.038

7.  To Find a Better Dosimetric Parameter in the Predicting of Radiation-Induced Lung Toxicity Individually: Ventilation, Perfusion or CT based.

Authors:  Lin-Lin Xiao; Guoren Yang; Jinhu Chen; Xiaohui Wang; Qingwei Wu; Zongwei Huo; Qingxi Yu; Jinming Yu; Shuanghu Yuan
Journal:  Sci Rep       Date:  2017-03-15       Impact factor: 4.379

8.  Spect perfusion imaging versus CT for predicting radiation injury to normal lung in lung cancer patients.

Authors:  Alex Weller; Alex Dunlop; Adam Oxer; Ranga Gunapala; Iain Murray; Matthew J Gray; Glenn D Flux; Nandita M deSouza; Merina Ahmed
Journal:  Br J Radiol       Date:  2019-07-09       Impact factor: 3.039

9.  Variations Between Dose-Ventilation and Dose-Perfusion Metrics in Radiation Therapy Planning for Lung Cancer.

Authors:  Yujiro Nakajima; Noriyuki Kadoya; Tomoki Kimura; Kazunari Hioki; Keiichi Jingu; Tokihiro Yamamoto
Journal:  Adv Radiat Oncol       Date:  2020-03-20

10.  Hyperpolarized 129Xe Magnetic Resonance Imaging for Functional Avoidance Treatment Planning in Thoracic Radiation Therapy: A Comparison of Ventilation- and Gas Exchange-Guided Treatment Plans.

Authors:  Leith J Rankine; Ziyi Wang; Chris R Kelsey; Elianna Bier; Bastiaan Driehuys; Lawrence B Marks; Shiva K Das
Journal:  Int J Radiat Oncol Biol Phys       Date:  2021-07-13       Impact factor: 7.038

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