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Now showing items 11-16 of 16
MRI measurement of residual cervical length after radical trachelectomy for cervical cancer and the risk of adverse pregnancy outcomes: a blinded imaging analysis.
(WILEY, 2018-12-01)
OBJECTIVE: To determine the association between the residual cervix measured on postoperative MRI after radical vaginal trachelectomy (RVT) and adverse obstetrical outcomes. DESIGN: Observational study. SETTING: Referral ...
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 ...
Validating a robust double-quantum-filtered (1) H MRS lactate measurement method in high-grade brain tumours.
(WILEY-BLACKWELL, 2016-10-01)
(1) H MRS measurements of lactate are often confounded by overlapping lipid signals. Double-quantum (DQ) filtering eliminates lipid signals and permits single-shot measurements, which avoid subtraction artefacts in moving ...
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 ...