Targeted nutritional intervention attenuates experimental lung cancer cachexia

Autor: Wouter R. P. H. van deWorp, Jan Theys, Cecile J. A. Wolfs, Frank Verhaegen, Annemie M. W. J. Schols, Ardy vanHelvoort, Ramon C. J. Langen

Publikováno v: Journal of Cachexia, Sarcopenia and Muscle, Vol 15, Iss 5, Pp 1664-1676 (2024)

Abstract Background Cachexia, a syndrome with high prevalence in non‐small cell lung cancer patients, impairs quality of life and reduces tolerance and responsiveness to cancer therapy resulting in decreased survival. Optimal nutritional care is pi

Externí odkaz: https://doaj.org/article/fc898882fc9b4a0daaa961b6d09c4238

Treatment plan quality assessment for radiotherapy of rectal cancer patients using prediction of organ-at-risk dose metrics

Autor: Ana Vaniqui, Cecile J A Wolfs, C. Hazelaar, Wouter van Elmpt, R. Canters, Femke Vaassen, Indra Lubken, Kirsten Kremer

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 16, Iss, Pp 74-80 (2020)
Physics and Imaging in Radiation Oncology
Physics & Imaging in Radiation Oncology, 16, 74-80. Elsevier Ireland Ltd

Background and purpose: Radiotherapy centers frequently lack simple tools for periodic treatment plan verification and feedback on current plan quality. It is difficult to measure treatment quality over different years or during the planning process.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63f3e73eb863f06521c4c6b80ae1c813
http://www.sciencedirect.com/science/article/pii/S2405631620300695

A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting

Autor: Behzad Rezaeifar, Cecile J A Wolfs, Natasja G Lieuwes, Rianne Biemans, Brigitte Reniers, Ludwig J Dubois, Frank Verhaegen

Publikováno v: Physics in Medicine and Biology, 67(14):144003. IOP Publishing Ltd.

Objective. Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblastoma multiforme (GBM) tumor-bearing small animals without incurring x-ray radiation burden. However, the use of this imaging modality is limited due to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e1827e348dbcd34d9ff917965aa38a6
https://doi.org/10.1088/1361-6560/ac79f8

External validation of a hidden Markov model for gamma-based classification of anatomical changes in lung cancer patients using EPID dosimetry

Autor: Cecile J A Wolfs, N. Varfalvy, Louis Archambault, D. Hattu, Sebastiaan M. J. J. G. Nijsten, Frank Verhaegen, R. Canters

Publikováno v: Medical Physics, 47(10), 4675-4682. Wiley

Purpose To externally validate a hidden Markov model (HMM) for classifying gamma analysis results ofin vivoelectronic portal imaging device (EPID) measurements into different categories of anatomical change for lung cancer patients. Additionally, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b84120abb49a6e9daef012e316971e93
https://pubmed.ncbi.nlm.nih.gov/32654162

Automatic contouring of normal tissues with deep learning for preclinical radiation studies

Autor: Georgios Lappas, Cecile J A Wolfs, Nick Staut, Natasja G Lieuwes, Rianne Biemans, Stefan J van Hoof, Ludwig J Dubois, Frank Verhaegen

Publikováno v: Physics in Medicine and Biology, 67(4):044001. IOP Publishing Ltd.

Objective. Delineation of relevant normal tissues is a bottleneck in image-guided precision radiotherapy workflows for small animals. A deep learning (DL) model for automatic contouring using standardized 3D micro cone-beam CT (μCBCT) volumes as inp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f22b056103599cf29bef2e9b65c7380f
https://doi.org/10.1088/1361-6560/ac4da3