[HTML][HTML] The barriers and facilitators of radical innovation implementation in secondary healthcare: a systematic review

SV Thijssen, MJG Jacobs, RR Swart… - Journal of Health …, 2023 - emerald.com
Purpose This study aimed to identify the barriers and facilitators related to the
implementation of radical innovations in secondary healthcare. Design/methodology …

Harnessing data science to advance radiation oncology

IR Vogelius, J Petersen, SM Bentzen - Molecular oncology, 2020 - Wiley Online Library
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 …

Deep learning–based 4D‐synthetic CTs from sparse‐view CBCTs for dose calculations in adaptive proton therapy

A Thummerer, C Seller Oria, P Zaffino, S Visser… - Medical …, 2022 - Wiley Online Library
Background Time‐resolved 4D cone beam–computed tomography (4D‐CBCT) allows a
daily assessment of patient anatomy and respiratory motion. However, 4D‐CBCTs suffer …

Clinical suitability of deep learning based synthetic CTs for adaptive proton therapy of lung cancer

A Thummerer, C Seller Oria, P Zaffino… - Medical …, 2021 - Wiley Online Library
Purpose Adaptive proton therapy (APT) of lung cancer patients requires frequent volumetric
imaging of diagnostic quality. Cone‐beam CT (CBCT) can provide these daily images, but x …

[HTML][HTML] Radiotherapy Adverse Effects Management Training for Health Workers in Andalas University Hospital

R Rafli, DAH Pitra, D Hasni… - Jurnal Kreativitas …, 2022 - ejurnalmalahayati.ac.id
Cancer services in Indonesia have experienced a rapid increase with the addition of
radiotherapy facilities in various hospitals. Increasing radiotherapy facilities will also …

Improving knowledge-based treatment planning for lung cancer radiotherapy with automatic multi-criteria optimized training plans

K Fjellanger, M Hordnes, IM Sandvik, TH Sulen… - Acta …, 2023 - Taylor & Francis
Background Knowledge-based planning (KBP) is a method for automated radiotherapy
treatment planning where appropriate optimization objectives for new patients are predicted …

[HTML][HTML] Patient selection, inter-fraction plan robustness and reduction of toxicity risk with deep inspiration breath hold in intensity-modulated radiotherapy of locally …

K Fjellanger, L Rossi, BJM Heijmen… - Frontiers in …, 2022 - frontiersin.org
Background State-of-the-art radiotherapy of locally advanced non-small cell lung cancer (LA-
NSCLC) is performed with intensity-modulation during free breathing (FB). Previous studies …

Treatment planning and 4D robust evaluation strategy for proton therapy of lung tumors with large motion amplitude

VT Taasti, D Hattu, F Vaassen, R Canters… - Medical …, 2021 - Wiley Online Library
Purpose Intensity‐modulated proton therapy (IMPT) for lung tumors with a large tumor
movement is challenging due to loss of robustness in the target coverage. Often an upper …

Probing thoracic dose patterns associated to pericardial effusion and mortality in patients treated with photons and protons for locally advanced non-small-cell lung …

L Cella, S Monti, T Xu, R Liuzzi, A Stanzione… - Radiotherapy and …, 2021 - Elsevier
Purpose To investigate thoracic dose–response patterns for pericardial effusion (PCE) and
mortality in patients treated for locally advanced Non-Small-Cell Lung Cancer (NSCLC) by …

External validation of a lung cancer-based prediction model for two-year mortality in esophageal cancer patient cohorts

M Berbée, CT Muijs, FEM Voncken, L Wee… - Radiotherapy and …, 2024 - Elsevier
Purpose/objective Chemo-radiotherapy can improve the oncological outcome of
esophageal cancer (EC) patients, but may cause long term radiation-induced toxicity …