Decision support systems for personalized and participative radiation oncology

P Lambin, J Zindler, BGL Vanneste… - Advanced drug delivery …, 2017 - Elsevier
A paradigm shift from current population based medicine to personalized and participative
medicine is underway. This transition is being supported by the development of clinical …

Modern clinical research: How rapid learning health care and cohort multiple randomised clinical trials complement traditional evidence based medicine

P Lambin, J Zindler, B Vanneste… - Acta …, 2015 - Taylor & Francis
Background. Trials are vital in informing routine clinical care; however, current designs have
major deficiencies. An overview of the various challenges that face modern clinical research …

Relating the proton relative biological effectiveness to tumor control and normal tissue complication probabilities assuming interpatient variability in α/β

H Paganetti - Acta Oncologica, 2017 - Taylor & Francis
Background: Proton therapy uses a constant relative biological effectiveness (RBE) of 1.1.
The use of variable RBE values has been suggested but is currently not feasible due to …

Patient-specific tumor growth trajectories determine persistent and resistant cancer cell populations during treatment with targeted therapies

C Grassberger, D McClatchy III, C Geng, SC Kamran… - Cancer research, 2019 - AACR
The importance of preexisting versus acquired drug resistance in patients with cancer
treated with small-molecule tyrosine kinase inhibitors (TKI) remains controversial. The goal …

Library of deep-learning image segmentation and outcomes model-implementations

AP Apte, A Iyer, M Thor, R Pandya, R Haq, J Jiang… - Physica Medica, 2020 - Elsevier
An open-source library of implementations for deep-learning-based image segmentation
and outcomes models based on radiotherapy and radiomics is presented. As oncology …

Patient‐specific voxel‐level dose prescription for prostate cancer radiotherapy considering tumor cell density and grade distribution

Y Zhao, A Haworth, HM Reynolds, EJ Her… - Medical …, 2023 - Wiley Online Library
Background In prostate radiation therapy, recent studies have indicated a benefit in
increasing the dose to intraprostatic lesions (IPL) compared with standard whole gland …

A tumour control probability model for radiotherapy of prostate cancer using magnetic resonance imaging-based apparent diffusion coefficient maps

O Casares-Magaz, UA Van der Heide, J Rørvik… - Radiotherapy and …, 2016 - Elsevier
Background and purpose Standard tumour control probability (TCP) models assume uniform
tumour cell density across the tumour. The aim of this study was to develop an individualised …

A validated tumor control probability model based on a meta‐analysis of low, intermediate, and high‐risk prostate cancer patients treated by photon, proton, or carbon …

S Walsh, E Roelofs, P Kuess, P Lambin… - Medical …, 2016 - Wiley Online Library
Purpose: A fully heterogeneous population averaged mechanistic tumor control probability
(TCP) model is appropriate for the analysis of external beam radiotherapy (EBRT). This has …

Predicting the 5-year risk of biochemical relapse after postprostatectomy radiation therapy in≥ PT2, pN0 patients with a comprehensive tumor control probability …

C Fiorino, S Broggi, N Fossati, C Cozzarini… - International Journal of …, 2016 - Elsevier
Purpose To fit the individual biochemical recurrence-free survival (bRFS) data from patients
treated with postprostatectomy radiation therapy (RT) with a comprehensive tumor control …

Accurate prediction of long-term risk of biochemical failure after salvage radiotherapy including the impact of pelvic node irradiation

C Cozzarini, M Olivieri, A Magli, D Cante… - Radiotherapy and …, 2022 - Elsevier
Background and purpose Explainable models of long-term risk of biochemical failure (BF)
after post-prostatectomy salvage radiotherapy (SRT) are lacking. A previously introduced …