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Validated imaging biomarkers as decision-making tools in clinical trials and routine practice: current status and recommendations from the EIBALL* subcommittee of the European Society of Radiology (ESR)

Observer-driven pattern recognition is the standard for interpretation of medical images. To achieve global parity in interpretation, semi-quantitative scoring systems have been developed based on observer assessments; these are widely used in scoring coronary artery disease, the arthritides and neurological conditions and for indicating the likelihood of malignancy. However, in...

Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial

Quantitative radiomics features, extracted from medical images, characterize tumour-phenotypes and have been shown to provide prognostic value in predicting clinical outcomes. Stability of radiomics features extracted from apparent diffusion coefficient (ADC)-maps is essential for reliable correlation with the underlying pathology and its clinical applications. Within a...

A data-driven statistical model that estimates measurement uncertainty improves interpretation of ADC reproducibility: a multi-site study of liver metastases

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 in the interpretation of measured changes in ADC using a data-driven model that describes sources of measurement error. Observed ADC is then standardised...

The Accuracy of ADC Measurements in Liver Is Improved by a Tailored and Computationally Efficient Local-Rigid Registration Algorithm

This study describes post-processing methodologies to reduce the effects of physiological motion in measurements of apparent diffusion coefficient (ADC) in the liver. The aims of the study are to improve the accuracy of ADC measurements in liver disease to support quantitative clinical characterisation and reduce the number of patients required for sequential studies of disease...

Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI

Objectives Assessment of empirical diffusion-weighted MRI (DW-MRI) models in cervical tumours to investigate whether fitted parameters distinguish between types and grades of tumours. Methods Forty-two patients (24 squamous cell carcinomas, 14 well/moderately differentiated, 10 poorly differentiated; 15 adenocarcinomas, 13 well/moderately differentiated, two poorly differentiated...

Comparison of optimised endovaginal vs external array coil T2-weighted and diffusion-weighted imaging techniques for detecting suspected early stage (IA/IB1) uterine cervical cancer

-W imaging. Cervical cancer; Endovaginal coil; External array coil; Diffusion-weighted MRI; Fertility - * Nandita M. deSouza Zonal oblique multislice Positive predictive value Negative predictive

Modelling DW-MRI data from primary and metastatic ovarian tumours

Jessica M. Winfield Nandita M. deSouza Andrew N. Priest Jennifer C. Wakefield Charlotte Hodgkin Susan Freeman Matthew R. Orton David J. Collins 0 ) MRI Unit, Institute of Cancer Research and Royal

Functional magnetic resonance: biomarkers of response in breast cancer

Functional magnetic resonance (MR) encompasses a spectrum of techniques that depict physiological and molecular processes before morphological changes are visible on conventional imaging. As understanding of the pathophysiological and biomolecular processes involved in breast malignancies evolves, newer functional MR techniques can be employed that define early predictive and...

Stage I Cervical Cancer: Tumor Volume by Magnetic Resonance Imaging of Screen-Detected Versus Symptomatic Lesions

about cervical cancer screening. NANDITA M. DESOUZA W. PATRICK SOUTTER G. ANGUS MCINDOE DAVID J. GILDERDALE THOMAS KRAUSZ (1) Burghardt E, Baltzer J, Tulusan AH, Haas J. Results of surgical treatment