Journal article
Validation of CT-based ventilation and perfusion biomarkers with histopathology confirms radiation-induced pulmonary changes in a porcine model
Scientific reports, Vol.13(1), 9377
06/09/2023
DOI: 10.1038/s41598-023-36292-0
PMCID: PMC10256800
PMID: 37296169
Abstract
Imaging biomarkers can assess disease progression or prognoses and are valuable tools to help guide interventions. Particularly in lung imaging, biomarkers present an opportunity to extract regional information that is more robust to the patient’s condition prior to intervention than current gold standard pulmonary function tests (PFTs). This regional aspect has particular use in functional avoidance radiation therapy (RT) in which treatment planning is optimized to avoid regions of high function with the goal of sparing functional lung and improving patient quality of life post-RT. To execute functional avoidance, detailed dose–response models need to be developed to identify regions which should be protected. Previous studies have begun to do this, but for these models to be clinically translated, they need to be validated. This work validates two metrics that encompass the main components of lung function (ventilation and perfusion) through post-mortem histopathology performed in a novel porcine model. With these methods validated, we can use them to study the nuanced radiation-induced changes in lung function and develop more advanced models.
Details
- Title: Subtitle
- Validation of CT-based ventilation and perfusion biomarkers with histopathology confirms radiation-induced pulmonary changes in a porcine model
- Creators
- Mattison J. Flakus - Madison, WI USAAntonia E. Wuschner - Madison, WI USAEric M. Wallat - Madison, WI USAMelissa Graham - Madison, WI USAWei Shao - Gainesville, FL USADhanansayan Shanmuganayagam - Madison, WI USA Madison, WI USAGary E. Christensen - Iowa City, IA USA Iowa City, IA USAJoseph M. Reinhardt - Iowa City, IA USAJohn E. Bayouth - Portland, OR USA
- Resource Type
- Journal article
- Publication Details
- Scientific reports, Vol.13(1), 9377
- DOI
- 10.1038/s41598-023-36292-0
- PMID
- 37296169
- PMCID
- PMC10256800
- NLM abbreviation
- Sci Rep
- eISSN
- 2045-2322
- Publisher
- Nature Publishing Group UK
- Grant note
- R01 CA166703 / ;
- Language
- English
- Date published
- 06/09/2023
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Radiation Oncology; Radiation Research Laboratory; The Iowa Institute for Biomedical Imaging; Advanced Pulmonary Physiomic Imaging Laboratory; Holden Comprehensive Cancer Center
- Record Identifier
- 9984433852202771
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