End-to-End Pretreatment Prediction of Radiation Pneumonitis in Patients With Non–Small Cell Lung Cancer Using Computed Tomography: A Vision Transformer Approach

In a cohort treated heterogeneous radiotherapy techniques and doses, combining CT-based risk scores with clinical values enhances the prediction of RP. This suggests that CT scans contain additional information that has the potential to enhance RP predictions. Activation score mapping shows focus on lung structure, upper lung, and right lung. Model code is available online.

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Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2026-02-25
DOI
https://doi.org/10.1200/cci-25-00020
Primary Topic
Effects of Radiation Exposure
Type
article
Field-Weighted Citation Impact
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article

End-to-End Pretreatment Prediction of Radiation Pneumonitis in Patients With Non–Small Cell Lung Cancer Using Computed Tomography: A Vision Transformer Approach

Julie Midroni, Jay Hennessy, Srinivas Raman, Tony Tadic et al.
JCO Clinical Cancer Informatics
Effects of Radiation Exposure
article

End-to-End Pretreatment Prediction of Radiation Pneumonitis in Patients With Non–Small Cell Lung Cancer Using Computed Tomography: A Vision Transformer Approach

Julie Midroni, Jay Hennessy, Srinivas Raman, Tony Tadic, Philip Wong, Felipe Soares Torres, Andrew Hope
article en

Abstract

In a cohort treated heterogeneous radiotherapy techniques and doses, combining CT-based risk scores with clinical values enhances the prediction of RP. This suggests that CT scans contain additional information that has the potential to enhance RP predictions. Activation score mapping shows focus on lung structure, upper lung, and right lung. Model code is available online.

JCO Clinical Cancer InformaticsVol. 10(10)
University of Toronto (CA), Princess Margaret Cancer Centre (CA), Glycemic Index Laboratories (CA), Artificial Intelligence in Medicine (Canada) (CA)
Good health and well-being
Openalex Percentile: Top 44%
Effects of Radiation Exposure
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