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  1. 3 sie 2016 · The cross-sectional imaging modalities available include computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US) and positron emission tomography-computed tomography with fluorine-18-deoxy-D-glucose (18 FDG PET-CT). Each modality has its own strengths and weaknesses; these are enumerated below.

  2. 1 gru 2016 · knowledge of the cross-sectional anatomy is very important. This article seeks to give an overview of the various cross-sectional imaging modalities used in the evaluation of head and...

  3. 30 paź 2020 · Dynamic contrast-enhanced MRI perfusion imaging can be of value in detecting and quantifying a microvascularity within tissue, providing characterization for head and neck cancers. This is used to generate blood flow, blood volume, and transit time parameters within areas of interest, and may help in assessing the histological grade of tumors.

  4. 14 sty 2024 · A Depicts the correlations between preoperatively measured cross-sectional area (CSA) of the cochlear nerve (CN) (x-axis) and monosyllabic speech intelligibility at a sound pressure level (SPL) of 65 dB (y-axis) during the 6-month follow-up period after the initial fitting of a cochlear implant (CI).

  5. 3 paź 2019 · In the past decades, optical coherence tomography (OCT) has proven valuable for non-invasive, high-resolution, cross-sectional imaging of tissue microstructure in various fields of medicine ...

  6. Cross-sectional imaging has a central role to play in the management of patients with malignant disease and is used at all points along the patient care pathway: In the initial diagnosis and the staging of disease extent. For monitoring response to treatment. For evaluation of any residual mass after treatment.

  7. MRI is generally the cross-sectional study of choice for tumours of the suprahyoid neck, although local operational policy will dictate its role in imaging the various tumour sites. Multislice computed tomography (MDCT) may be used to acquire a rapid, high spatial resolution volume of data.

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