Published in Radiother Oncol on May 27, 2016
Internet-based computer technology on radiotherapy. Rep Pract Oncol Radiother (2017) 0.75
Voxel-based analysis unveils regional dose differences associated with radiation-induced morbidity in head and neck cancer patients. Sci Rep (2017) 0.75
Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology (2010) 14.07
Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. J Clin Epidemiol (2001) 10.16
Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinformatics (2007) 8.23
Parotid-sparing intensity modulated versus conventional radiotherapy in head and neck cancer (PARSPORT): a phase 3 multicentre randomised controlled trial. Lancet Oncol (2011) 7.46
Hyperfractionated or accelerated radiotherapy in head and neck cancer: a meta-analysis. Lancet (2006) 6.67
Use of normal tissue complication probability models in the clinic. Int J Radiat Oncol Biol Phys (2010) 4.33
Preventing or reducing late side effects of radiation therapy: radiobiology meets molecular pathology. Nat Rev Cancer (2006) 3.65
Mucositis incidence, severity and associated outcomes in patients with head and neck cancer receiving radiotherapy with or without chemotherapy: a systematic literature review. Radiother Oncol (2003) 3.46
The pathobiology of mucositis. Nat Rev Cancer (2004) 2.99
Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Ann Intern Med (2015) 2.71
Internal and external validation of predictive models: a simulation study of bias and precision in small samples. J Clin Epidemiol (2003) 2.28
Selection of patients for radiotherapy with protons aiming at reduction of side effects: the model-based approach. Radiother Oncol (2013) 2.11
'Rapid Learning health care in oncology' - an approach towards decision support systems enabling customised radiotherapy'. Radiother Oncol (2013) 1.60
Toxicity in head and neck cancer: a review of trends and issues. Int J Radiat Oncol Biol Phys (2000) 1.34
Do acute mucosal reactions lead to consequential late reactions in patients with head and neck cancer? Radiother Oncol (1999) 1.08
Predictors of PEG dependence after IMRT±chemotherapy for oropharyngeal cancer. Radiother Oncol (2013) 1.03
NTCP models for patient-rated xerostomia and sticky saliva after treatment with intensity modulated radiotherapy for head and neck cancer: the role of dosimetric and clinical factors. Radiother Oncol (2012) 1.03
Prospective evaluation to establish a dose response for clinical oral mucositis in patients undergoing head-and-neck conformal radiotherapy. Int J Radiat Oncol Biol Phys (2008) 1.03
Impact of statistical learning methods on the predictive power of multivariate normal tissue complication probability models. Int J Radiat Oncol Biol Phys (2012) 1.01
Common statistical and research design problems in manuscripts submitted to high-impact medical journals. BMC Res Notes (2011) 0.99
On the inappropriateness of stepwise regression analysis for model building and testing. Eur J Appl Physiol (2007) 0.95
How to develop a more accurate risk prediction model when there are few events. BMJ (2015) 0.94
Effect of radiotherapy and chemotherapy on the risk of mucositis during intensity-modulated radiation therapy for oropharyngeal cancer. Int J Radiat Oncol Biol Phys (2011) 0.94
Development, external validation and clinical usefulness of a practical prediction model for radiation-induced dysphagia in lung cancer patients. Radiother Oncol (2010) 0.92
Machine Learning Approaches for Predicting Radiation Therapy Outcomes: A Clinician's Perspective. Int J Radiat Oncol Biol Phys (2015) 0.91
Dose-escalated intensity-modulated radiotherapy is feasible and may improve locoregional control and laryngeal preservation in laryngo-hypopharyngeal cancers. Int J Radiat Oncol Biol Phys (2011) 0.90
Novel approaches to improve the therapeutic index of head and neck radiotherapy: an analysis of data from the PARSPORT randomised phase III trial. Radiother Oncol (2012) 0.89
Development of a multivariable normal tissue complication probability (NTCP) model for tube feeding dependence after curative radiotherapy/chemo-radiotherapy in head and neck cancer. Radiother Oncol (2014) 0.88
Characteristics of response of oral and pharyngeal mucosa in patients receiving chemo-IMRT for head and neck cancer using hypofractionated accelerated radiotherapy. Radiother Oncol (2010) 0.87
The dose-response of the anal sphincter region--an analysis of data from the MRC RT01 trial. Radiother Oncol (2012) 0.86
Direct use of multivariable normal tissue complication probability models in treatment plan optimisation for individualised head and neck cancer radiotherapy produces clinically acceptable treatment plans. Radiother Oncol (2014) 0.85
Effect of gap length and position on results of treatment of cancer of the larynx in Scotland by radiotherapy: a linear quadratic analysis. Radiother Oncol (1998) 0.84
A novel method for delineation of oral mucosa for radiotherapy dose-response studies. Radiother Oncol (2015) 0.82
Evaluation of the Risk of Grade 3 Oral and Pharyngeal Dysphagia Using Atlas-Based Method and Multivariate Analyses of Individual Patient Dose Distributions. Int J Radiat Oncol Biol Phys (2015) 0.80
Use of fractional dose-volume histograms to model risk of acute rectal toxicity among patients treated on RTOG 94-06. Radiother Oncol (2012) 0.79
Assessment of fully-automated atlas-based segmentation of novel oral mucosal surface organ-at-risk. Radiother Oncol (2016) 0.77
A novel method for delineation of oral mucosa for radiotherapy dose-response studies. Radiother Oncol (2015) 0.82
Assessment of fully-automated atlas-based segmentation of novel oral mucosal surface organ-at-risk. Radiother Oncol (2016) 0.77