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Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI.
(PERGAMON-ELSEVIER SCIENCE LTD, 2022-10-01)
PURPOSE: To use deep learning to calculate the uncertainty in apparent diffusion coefficient (σADC) voxel-wise measurements to clinically impact the monitoring of treatment response and improve the quality of ADC maps. ...
A radiomics-based decision support tool improves lung cancer diagnosis in combination with the Herder score in large lung nodules.
(ELSEVIER, 2022-12-01)
BACKGROUND: Large lung nodules (≥15 mm) have the highest risk of malignancy, and may exhibit important differences in phenotypic or clinical characteristics to their smaller counterparts. Existing risk models do not stratify ...
Optimising CT-guided biopsies of sclerotic bone lesions in cancer patients.
(SPRINGER, 2022-07-26)
OBJECTIVES: Investigate the laboratory, imaging and procedural factors that are associated with a tumour-positive and/or NGS-feasible CT-guided sclerotic bone lesion biopsy result in cancer patients. METHODS: In total, 113 ...