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Now showing items 11-16 of 16
Visualizing the autonomic and somatic innervation of the female pelvis with 3D MR neurography: a feasibility study.
(SAGE PUBLICATIONS LTD, 2020-12-01)
BACKGROUND: Treatment of female pelvic malignancies often causes pelvic nerve damage. Magnetic resonance (MR) neurography mapping the female pelvic innervation could aid in treatment planning. PURPOSE: To depict female ...
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.
(SPRINGER, 2016-04-01)
OBJECTIVE: To compare sensitivity and specificity of endovaginal versus external-array coil T2-W and T2-W + DWI for detecting and staging small cervical tumours. METHODS: Optimised endovaginal and external array coil MRI ...
Extracranial Soft-Tissue Tumors: Repeatability of Apparent Diffusion Coefficient Estimates from Diffusion-weighted MR Imaging.
(RADIOLOGICAL SOC NORTH AMERICA, 2017-07-01)
Purpose To assess the repeatability of apparent diffusion coefficient (ADC) estimates in extracranial soft-tissue diffusion-weighted magnetic resonance imaging across a wide range of imaging protocols and patient populations. ...
Diffusion-weighted (DW) MRI in lung cancers: ADC test-retest repeatability.
(SPRINGER, 2017-11-01)
PURPOSE: To determine the test-retest repeatability of Apparent Diffusion Coefficient (ADC) measurements across institutions and MRI vendors, plus investigate the effect of post-processing methodology on measurement ...
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 ...
Stability of radiomics features in apparent diffusion coefficient maps from a multi-centre test-retest trial.
(NATURE PORTFOLIO, 2019-03-18)
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 ...