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A risk prediction algorithm based on family history and common genetic variants: application to prostate cancer with potential clinical impact.
(WILEY, 2011-07-18)
Genome wide association studies have identified several single nucleotide polymorphisms (SNPs) that are independently associated with small increments in risk of prostate cancer, opening up the possibility for using such ...
Evaluation of dynamic contrast-enhanced MRI biomarkers for stratified cancer medicine: How do permeability and perfusion vary between human tumours?
(ELSEVIER SCIENCE INC, 2018-02-01)
BACKGROUND: Solid tumours exhibit enhanced vessel permeability and fenestrated endothelium to varying degree, but it is unknown how this varies in patients between and within tumour types. Dynamic contrast-enhanced (DCE) ...
A new method for the high-precision assessment of tumor changes in response to treatment.
(OXFORD UNIV PRESS, 2018-08-01)
MOTIVATION: Imaging demonstrates that preclinical and human tumors are heterogeneous, i.e. a single tumor can exhibit multiple regions that behave differently during both development and also in response to treatment. The ...
Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification.
(OXFORD UNIV PRESS INC, 2020-03-01)
BACKGROUND: External validation of risk models is critical for risk-stratified breast cancer prevention. We used the Individualized Coherent Absolute Risk Estimation (iCARE) as a flexible tool for risk model development ...
Mendelian randomisation analysis provides no evidence for a relationship between adult height and testicular cancer risk.
(WILEY, 2017-09-01)
Observational studies have suggested anthropometric traits, particularly increased height are associated with an elevated risk of testicular cancer (testicular germ cell tumour). However, there is an inconsistency between ...
Functional Data Analysis Applied to Modeling of Severe Acute Mucositis and Dysphagia Resulting From Head and Neck Radiation Therapy.
(ELSEVIER SCIENCE INC, 2016-11-15)
PURPOSE: Current normal tissue complication probability modeling using logistic regression suffers from bias and high uncertainty in the presence of highly correlated radiation therapy (RT) dose data. This hinders robust ...
A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases.
(NATURE PORTFOLIO, 2017-10-26)
Apparent Diffusion Coefficient (ADC) is a potential quantitative imaging biomarker for tumour cell density and is widely used to detect early treatment changes in cancer therapy. We propose a strategy to improve confidence ...