Evolution of systemic therapy for stages I–III non-metastatic non-small-cell lung cancer
JE Chaft, A Rimner, W Weder, CG Azzoli… - Nature reviews Clinical …, 2021 - nature.com
The treatment goal for patients with early-stage lung cancer is cure. Multidisciplinary
discussions of surgical resectability and medical operability determine the modality of …
discussions of surgical resectability and medical operability determine the modality of …
Radiation-induced lung toxicity–cellular and molecular mechanisms of pathogenesis, management, and literature review
L Käsmann, A Dietrich, CA Staab-Weijnitz… - Radiation …, 2020 - Springer
Lung, breast, and esophageal cancer represent three common malignancies with high
incidence and mortality worldwide. The management of these tumors critically relies on …
incidence and mortality worldwide. The management of these tumors critically relies on …
Radiomics analysis of 3D dose distributions to predict toxicity of radiotherapy for lung cancer
Abstract Purpose (Chemo)–radiotherapy (RT) is the gold standard treatment for patients with
locally advanced lung cancer non accessible for surgery. However, current toxicity …
locally advanced lung cancer non accessible for surgery. However, current toxicity …
Radiomic and dosiomic features for the prediction of radiation pneumonitis across esophageal cancer and lung cancer
C Puttanawarut, N Sirirutbunkajorn, N Tawong… - Frontiers in …, 2022 - frontiersin.org
Purpose The aim was to investigate the advantages of dosiomic and radiomic features over
traditional dose-volume histogram (DVH) features for predicting the development of …
traditional dose-volume histogram (DVH) features for predicting the development of …
Radiation pneumonitis in lung cancer patients treated with chemoradiation plus durvalumab
Introduction Durvalumab after concurrent chemoradiation (cCRT) is now standard of care for
unresected stage III non–small cell lung cancer (NSCLC). However, there is limited data on …
unresected stage III non–small cell lung cancer (NSCLC). However, there is limited data on …
[HTML][HTML] Validation of an established deep learning auto-segmentation tool for cardiac substructures in 4D radiotherapy planning scans
Background Emerging data suggest that dose-sparing several key cardiac regions is
prognostically beneficial in lung cancer radiotherapy. The cardiac substructures are …
prognostically beneficial in lung cancer radiotherapy. The cardiac substructures are …
Biological dosiomic features for the prediction of radiation pneumonitis in esophageal cancer patients
C Puttanawarut, N Sirirutbunkajorn, S Khachonkham… - Radiation …, 2021 - Springer
Objective The purpose of this study was to develop a model using dose volume histogram
(DVH) and dosiomic features to predict the risk of radiation pneumonitis (RP) in the …
(DVH) and dosiomic features to predict the risk of radiation pneumonitis (RP) in the …
Harnessing data science to advance radiation oncology
Radiation oncology, a major treatment modality in the care of patients with malignant
disease, is a technology‐and computer‐intensive medical specialty. As such, it should lend …
disease, is a technology‐and computer‐intensive medical specialty. As such, it should lend …
Library of deep-learning image segmentation and outcomes model-implementations
An open-source library of implementations for deep-learning-based image segmentation
and outcomes models based on radiotherapy and radiomics is presented. As oncology …
and outcomes models based on radiotherapy and radiomics is presented. As oncology …
[HTML][HTML] Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during …
Background and purpose Minimizing acute esophagitis (AE) in locally advanced non-small
cell lung cancer (LA-NSCLC) is critical given the proximity between the esophagus and the …
cell lung cancer (LA-NSCLC) is critical given the proximity between the esophagus and the …