Radiation therapy planning of thoracic tumors: A review of challenges associated with lung toxicities and potential perspectives of gallium-68 lung PET/CT imaging
F Lucia, M Rehn, F Blanc-Béguin, PY Le Roux - Frontiers in Medicine, 2021 - frontiersin.org
Despite the introduction of new radiotherapy techniques, such as intensity modulated
radiation therapy or stereotactic body radiation therapy, radiation induced lung injury …
radiation therapy or stereotactic body radiation therapy, radiation induced lung injury …
Stereotactic ablative radiation therapy is highly safe and effective for elderly patients with early-stage non-small cell lung cancer
ED Brooks, B Sun, L Zhao, R Komaki, Z Liao… - International Journal of …, 2017 - Elsevier
Purpose To discern the effectiveness and toxicity of stereotactic ablative radiation therapy
(SABR) in the elderly population (aged≥ 75 years) and to consider how SABR outcomes …
(SABR) in the elderly population (aged≥ 75 years) and to consider how SABR outcomes …
Stereotactic body radiotherapy for centrally located early-stage non-small cell lung cancer or lung metastases from the RSSearch® patient registry
JN Davis, C Medbery, S Sharma, J Pablo, F Kimsey… - Radiation …, 2015 - Springer
Background The purpose of this study was to evaluate treatment patterns and outcomes of
stereotactic body radiotherapy (SBRT) for centrally located primary non-small cell lung …
stereotactic body radiotherapy (SBRT) for centrally located primary non-small cell lung …
[HTML][HTML] Stereotactic body radiotherapy versus surgery for early-stage non-small cell lung cancer: an updated meta-analysis involving 29,511 patients included in …
GA Viani, AG Gouveia, M Yan, FK Matsuura… - Jornal Brasileiro de …, 2022 - SciELO Brasil
Objective: To evaluate the efficacy of stereotactic body radiotherapy (SBRT) versus surgery
for early-stage non-small cell lung cancer (NSCLC) by means of a meta-analysis of …
for early-stage non-small cell lung cancer (NSCLC) by means of a meta-analysis of …
Cost‐effectiveness of stereotactic body radiation therapy versus surgical resection for stage I non–small cell lung cancer
A Shah, SM Hahn, RL Stetson, JS Friedberg… - Cancer, 2013 - Wiley Online Library
BACKGROUND The traditional treatment for clearly operable (CO) patients with stage I non–
small cell lung cancer (NSCLC) is lobectomy, with wedge resection (WR) and stereotactic …
small cell lung cancer (NSCLC) is lobectomy, with wedge resection (WR) and stereotactic …
[HTML][HTML] Stereotactic ablative radiotherapy for pulmonary oligometastases and oligometastatic lung cancer
DB Shultz, AR Filippi, J Thariat, F Mornex… - Journal of Thoracic …, 2014 - Elsevier
An increasing body of experience suggests that oligometastasis represents a minimal
metastatic state with the potential for cure or prolonged survival in selected patients treated …
metastatic state with the potential for cure or prolonged survival in selected patients treated …
[HTML][HTML] Treatment and prognosis of isolated local relapse after stereotactic body radiotherapy for clinical stage I non-small-cell lung cancer: importance of salvage …
Introduction Many efforts have been made to detect local relapse (LR) in the follow-up after
stereotactic body radiotherapy (SBRT) for non–small-cell lung cancer (NSCLC) although …
stereotactic body radiotherapy (SBRT) for non–small-cell lung cancer (NSCLC) although …
[HTML][HTML] Stereotactic ablative radiotherapy for stage I NSCLC: recent advances and controversies
Stereotactic ablative radiotherapy (SABR) is a technique that has rapidly entered routine
care for early-stage peripheral non-small cell lung cancer in many countries in the last …
care for early-stage peripheral non-small cell lung cancer in many countries in the last …
Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks
Y Cui, H Arimura, R Nakano, T Yoshitake… - Journal of radiation …, 2021 - academic.oup.com
The aim of this study was to develop an automated segmentation approach for small gross
tumor volumes (GTVs) in 3D planning computed tomography (CT) images using dense V …
tumor volumes (GTVs) in 3D planning computed tomography (CT) images using dense V …
Deep learning model fusion improves lung tumor segmentation accuracy across variable training-to-test dataset ratios
Y Cui, H Arimura, T Yoshitake, Y Shioyama… - … Engineering Sciences in …, 2023 - Springer
This study aimed to investigate the robustness of a deep learning (DL) fusion model for low
training-to-test ratio (TTR) datasets in the segmentation of gross tumor volumes (GTVs) in …
training-to-test ratio (TTR) datasets in the segmentation of gross tumor volumes (GTVs) in …