Optimizing lung cancer radiation therapy: a systematic review of multifactorial risk assessment for radiation-induced lung toxicity
R Bensenane, S Helfre, K Cao, M Carton… - Cancer Treatment …, 2024 - Elsevier
Background Radiation therapy (RT) is essential in treating advanced lung cancer, but may
lead to radiation pneumonitis (RP). This systematic review investigates the use of pulmonary …
lead to radiation pneumonitis (RP). This systematic review investigates the use of pulmonary …
The emerging role of Artificial Intelligence in proton therapy: A review
Artificial intelligence (AI) has made a tremendous impact in the space of healthcare, and
proton therapy is not an exception. Proton therapy has witnessed growing popularity in …
proton therapy is not an exception. Proton therapy has witnessed growing popularity in …
Function-Wise Dual-Omics analysis for radiation pneumonitis prediction in lung cancer patients
Purpose: This study investigates the impact of lung function on radiation pneumonitis
prediction using a dual-omics analysis method. Methods: We retrospectively collected data …
prediction using a dual-omics analysis method. Methods: We retrospectively collected data …
Lung subregion partitioning by incremental dose intervals improves omics-based prediction for acute radiation pneumonitis in non-small-cell lung cancer patients
Simple Summary Acute radiation pneumonitis (ARP) is one of the common radiation
toxicities in patients with non-small-cell lung cancer (NSCLC) treated by radiotherapy. The …
toxicities in patients with non-small-cell lung cancer (NSCLC) treated by radiotherapy. The …
A deep learning‐based dual‐omics prediction model for radiation pneumonitis
Purpose Radiation pneumonitis (RP) is the main source of toxicity in thoracic radiotherapy.
This study proposed a deep learning‐based dual‐omics model, which aims to improve the …
This study proposed a deep learning‐based dual‐omics model, which aims to improve the …
Metrics of dose to highly ventilated lung are predictive of radiation-induced pneumonitis in lung cancer patients
Purpose To identify metrics of radiation dose delivered to highly ventilated lung that are
predictive of radiation-induced pneumonitis. Methods and Materials A cohort of 90 patients …
predictive of radiation-induced pneumonitis. Methods and Materials A cohort of 90 patients …
Radiation and immune checkpoint inhibitor-mediated pneumonitis risk stratification in patients with locally advanced non-small cell lung cancer: role of functional lung …
HMT Thomas, DS Hippe, P Forouzannezhad… - Discover Oncology, 2022 - Springer
Background Patients undergoing chemoradiation and immune checkpoint inhibitor (ICI)
therapy for locally advanced non-small cell lung cancer (NSCLC) experience pulmonary …
therapy for locally advanced non-small cell lung cancer (NSCLC) experience pulmonary …
Radiation-induced Hounsfield unit change correlates with dynamic CT perfusion better than 4DCT-based ventilation measures in a novel-swine model
To analyze radiation induced changes in Hounsfield units and determine their correlation
with changes in perfusion and ventilation. Additionally, to compare the post-RT changes in …
with changes in perfusion and ventilation. Additionally, to compare the post-RT changes in …
New developments in locally advanced nonsmall cell lung cancer
RM Huber, D Kauffmann-Guerrero… - European …, 2021 - Eur Respiratory Soc
Locally advanced nonsmall cell lung cancer, due to its varying prognosis, is grouped
according to TNM stage IIIA, IIIB and IIIC. Developments over the last 3 years have been …
according to TNM stage IIIA, IIIB and IIIC. Developments over the last 3 years have been …
Prediction of radiation pneumonitis with machine learning using 4D-CT based dose-function features
Y Katsuta, N Kadoya, S Mouri, S Tanaka… - Journal of Radiation …, 2022 - academic.oup.com
In this article, we highlight the fundamental importance of the simultaneous use of dose-
volume histogram (DVH) and dose-function histogram (DFH) features based on functional …
volume histogram (DVH) and dose-function histogram (DFH) features based on functional …