[HTML][HTML] Cardiac toxicity of thoracic radiotherapy: existing evidence and future directions

K Banfill, M Giuliani, M Aznar, K Franks… - Journal of Thoracic …, 2021 - Elsevier
The impact of radiotherapy on the heart has become an area of interest in recent years.
Many different cardiac dose-volume constraints have been associated with cardiac toxicity …

Auto‐segmentation of organs at risk for head and neck radiotherapy planning: from atlas‐based to deep learning methods

T Vrtovec, D Močnik, P Strojan, F Pernuš… - Medical …, 2020 - Wiley Online Library
Radiotherapy (RT) is one of the basic treatment modalities for cancer of the head and neck
(H&N), which requires a precise spatial description of the target volumes and organs at risk …

Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy

F Shi, W Hu, J Wu, M Han, J Wang, W Zhang… - Nature …, 2022 - nature.com
In radiotherapy for cancer patients, an indispensable process is to delineate organs-at-risk
(OARs) and tumors. However, it is the most time-consuming step as manual delineation is …

[HTML][HTML] A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy

X Chen, S Sun, N Bai, K Han, Q Liu, S Yao… - Radiotherapy and …, 2021 - Elsevier
Background and purpose Delineating organs at risk (OARs) on computed tomography (CT)
images is an essential step in radiation therapy; however, it is notoriously time-consuming …

Autosegmentation for thoracic radiation treatment planning: a grand challenge at AAPM 2017

J Yang, H Veeraraghavan, SG Armato III… - Medical …, 2018 - Wiley Online Library
Purpose This report presents the methods and results of the Thoracic Auto‐Segmentation
Challenge organized at the 2017 Annual Meeting of American Association of Physicists in …

Imaging-based target volume reduction in chemoradiotherapy for locally advanced non-small-cell lung cancer (PET-Plan): a multicentre, open-label, randomised …

U Nestle, T Schimek-Jasch, S Kremp… - The Lancet …, 2020 - thelancet.com
Background With increasingly precise radiotherapy and advanced medical imaging, the
concept of radiotherapy target volume planning might be redefined with the aim of improving …

A clinical evaluation of the performance of five commercial artificial intelligence contouring systems for radiotherapy

PJ Doolan, S Charalambous, Y Roussakis… - Frontiers in …, 2023 - frontiersin.org
Purpose/objective (s) Auto-segmentation with artificial intelligence (AI) offers an opportunity
to reduce inter-and intra-observer variability in contouring, to improve the quality of contours …

Metformin in combination with chemoradiotherapy in locally advanced non–small cell lung cancer: the OCOG-ALMERA randomized clinical trial

T Tsakiridis, GR Pond, J Wright, PM Ellis… - JAMA …, 2021 - jamanetwork.com
Importance Unresected locally advanced non–small cell lung cancer (LA-NSCLC) shows
poor survival outcomes even after aggressive concurrent chemoradiotherapy. Whether …

Small cell lung cancer

GP Kalemkerian, W Akerley, P Bogner… - Journal of the National …, 2013 - jnccn.org
Neuroendocrine tumors account for approximately 20% of lung cancers; most (≈ 15%) are
small cell lung cancer (SCLC). These NCCN Clinical Practice Guidelines in Oncology for …

ESTRO ACROP guidelines for target volume definition in the treatment of locally advanced non-small cell lung cancer

U Nestle, D De Ruysscher, U Ricardi, X Geets… - Radiotherapy and …, 2018 - Elsevier
Radiotherapy (RT) plays a major role in the curative treatment of locally advanced non-small
cell lung cancer (NSCLC). Therefore, the ACROP committee was asked by the ESTRO to …