The integration of radiotherapy with immunotherapy for the treatment of non–small cell lung cancer

EC Ko, D Raben, SC Formenti - Clinical Cancer Research, 2018 - AACR
Five-year survival rates for non–small cell lung cancer (NSCLC) range from 14% to 49% for
stage I to stage IIIA disease, and are< 5% for stage IIIB/IV disease. Improvements have been …

Practical clinical workflows for online and offline adaptive radiation therapy

OL Green, LE Henke, GD Hugo - Seminars in radiation oncology, 2019 - Elsevier
Adaptive radiotherapy emerged over 20 years ago and is now an established clinical
practice in a number of organ sites. No one solution for adaptive therapy exists. Rather …

Deep reinforcement learning for automated radiation adaptation in lung cancer

HH Tseng, Y Luo, S Cui, JT Chien… - Medical …, 2017 - Wiley Online Library
Purpose To investigate deep reinforcement learning (DRL) based on historical treatment
plans for develo** automated radiation adaptation protocols for nonsmall cell lung cancer …

Recent advances of PET imaging in clinical radiation oncology

M Unterrainer, C Eze, H Ilhan, S Marschner… - Radiation …, 2020 - Springer
Radiotherapy and radiation oncology play a key role in the clinical management of patients
suffering from oncological diseases. In clinical routine, anatomic imaging such as contrast …

Higher radiation dose to the immune cells correlates with worse tumor control and overall survival in patients with stage III NSCLC: A secondary analysis of …

JY **, C Hu, Y ** the practice of radiological sciences in the 21st century
I El Naqa, MA Haider, ML Giger… - The British journal of …, 2020 - academic.oup.com
Advances in computing hardware and software platforms have led to the recent resurgence
in artificial intelligence (AI) touching almost every aspect of our daily lives by its capability for …

Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images

X Feng, K Qing, NJ Tustison, CH Meyer… - Medical …, 2019 - Wiley Online Library
Purpose Automatic segmentation of organs‐at‐risk (OAR s) is a key step in radiation
treatment planning to reduce human efforts and bias. Deep convolutional neural networks …

Deformable registration for dose accumulation

IJ Chetty, M Rosu-Bubulac - Seminars in radiation oncology, 2019 - Elsevier
As deformable image registration makes its way into the clinical routine, the summation of
doses from fractionated treatment regimens to evaluate cumulative doses to targets and …

[HTML][HTML] Adaptive radiotherapy enabled by MRI guidance

A Hunt, VN Hansen, U Oelfke, S Nill, S Hafeez - Clinical Oncology, 2018 - Elsevier
Adaptive radiotherapy (ART) strategies systematically monitor variations in target and
neighbouring structures to inform treatment-plan modification during radiotherapy. This is …