[HTML][HTML] Pancreatic ductal adenocarcinoma: biological hallmarks, current status, and future perspectives of combined modality treatment approaches

M Orth, P Metzger, S Gerum, J Mayerle, G Schneider… - Radiation …, 2019 - Springer
Pancreatic ductal adenocarcinoma (PDAC) is a highly devastating disease with poor
prognosis and rising incidence. Late detection and a particularly aggressive biology are the …

[HTML][HTML] Deep learning: a review for the radiation oncologist

L Boldrini, JE Bibault, C Masciocchi, Y Shen… - Frontiers in …, 2019 - frontiersin.org
Introduction: Deep Learning (DL) is a machine learning technique that uses deep neural
networks to create a model. The application areas of deep learning in radiation oncology …

[HTML][HTML] Ablative 5-fraction stereotactic magnetic resonance–guided radiation therapy with on-table adaptive replanning and elective nodal irradiation for inoperable …

MD Chuong, J Bryant, KE Mittauer, M Hall… - Practical radiation …, 2021 - Elsevier
Purpose Radiation therapy dose escalation using stereotactic body radiation therapy may
significantly improve both local control (LC) and overall survival (OS) for patients with …

Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives

D Cusumano, L Boldrini, J Dhont, C Fiorino, O Green… - Physica medica, 2021 - Elsevier
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …

Adaptive radiotherapy in the management of cervical cancer: review of strategies and clinical implementation

CE Shelley, LH Barraclough, CL Nelder, SJ Otter… - Clinical Oncology, 2021 - Elsevier
The complex and varied motion of the cervix–uterus target during external beam
radiotherapy (EBRT) underscores the clinical benefits afforded by adaptive radiotherapy …

[HTML][HTML] Automatic segmentation of pelvic cancers using deep learning: State-of-the-art approaches and challenges

R Kalantar, G Lin, JM Winfield, C Messiou… - Diagnostics, 2021 - mdpi.com
The recent rise of deep learning (DL) and its promising capabilities in capturing non-explicit
detail from large datasets have attracted substantial research attention in the field of medical …

CT‐based multi‐organ segmentation using a 3D self‐attention U‐net network for pancreatic radiotherapy

Y Liu, Y Lei, Y Fu, T Wang, X Tang, X Jiang… - Medical …, 2020 - Wiley Online Library
Purpose Segmentation of organs‐at‐risk (OARs) is a weak link in radiotherapeutic treatment
planning process because the manual contouring action is labor‐intensive and time …

[HTML][HTML] Feasibility of ablative stereotactic body radiation therapy of pancreas cancer patients on a 1.5 Tesla magnetic resonance-linac system using abdominal …

N Tyagi, J Liang, S Burleson, E Subashi… - Physics and Imaging in …, 2021 - Elsevier
Abstract Background and Purpose Stereotactic body radiation therapy delivered using MR-
guided radiotherapy (MRgRT) and automatic breathold gating has shown to improve overall …

ESTRO-ACROP recommendations on the clinical implementation of hybrid MR-linac systems in radiation oncology

S Corradini, F Alongi, N Andratschke, D Azria… - Radiotherapy and …, 2021 - Elsevier
Online magnetic resonance-guided radiotherapy (oMRgRT) represents one of the most
innovative applications of current image-guided radiation therapy (IGRT). The revolutionary …

[HTML][HTML] Patient positioning and immobilization procedures for hybrid MR-Linac systems

F Cuccia, F Alongi, C Belka, L Boldrini… - Radiation …, 2021 - Springer
Hybrid magnetic resonance (MR)-guided linear accelerators represent a new horizon in the
field of radiation oncology. By harnessing the favorable combination of on-board MR …