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Test-Retest Apparent Diffusion Coefficient Reproducibility in Head and Neck Cancer Using a 1.5-T MR-Linac.
Not available
S-EPMC12862471
|
biostudies-literature
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Initial Feasibility and Clinical Implementation of Daily MR-Guided Adaptive Head and Neck Cancer Radiation Therapy on a 1.5T MR-Linac System: Prospective R-IDEAL 2a/2b Systematic Clinical Evaluation of Technical Innovation.
Not available
S-EPMC7965360
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biostudies-literature
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Prospective evaluation of in vivo and phantom repeatability and reproducibility of diffusion-weighted MRI sequences on 1.5 T MRI-linear accelerator (MR-Linac) and MR simulator devices for head and neck cancers.
Not available
S-EPMC10527507
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biostudies-literature
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Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of
in vivo
site-specific quality-assurance using a 3D T2 fat-suppressed platform for head and neck cancer.
Not available
S-EPMC10627232
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biostudies-literature
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(4E)-4-[(2-Hy-droxy-anilino)methyl-idene]-1-phenyl-pyrazolidine-3,5-dione dimethyl sulfoxide hemisolvate.
Not available
S-EPMC3884425
|
biostudies-literature
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Investigation of autosegmentation techniques on T2-weighted MRI for off-line dose reconstruction in MR-linac workflow for head and neck cancers.
Not available
S-EPMC10799175
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biostudies-literature
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The public health response to a Plasmodium malariae outbreak in Penampang district, Sabah during a COVID-19 movement control order.
Not available
S-EPMC10546630
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biostudies-literature
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Quality assurance assessment of intra-acquisition diffusion-weighted and T2-weighted magnetic resonance imaging registration and contour propagation for head and neck cancer radiotherapy.
Not available
S-EPMC10121748
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biostudies-literature
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Unveiling blood donation knowledge, attitude, and practices among 12,606 university students: a cross-sectional study across 16 countries.
Not available
S-EPMC11001850
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biostudies-literature
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Residual lung abnormality following COVID-19 hospitalisation is characterised by biomarkers of epithelial injury.
Not available
S-EPMC12860639
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biostudies-literature
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