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This article presents the imaging findings in some of the most common benign and malignant sinonasal tumours, and the TNM classification and staging of sinonasal carcinomas. Keywords: Head, neck, sinonasal, neoplasms, computed tomography, magnetic resonance imaging, tumour staging.
- Radiologic overview of sinonasal lesions
Many sinonasal tumor types exhibit differentiating imaging...
- Radiologic overview of sinonasal lesions
4 dni temu · Differentiating malignant tumors from benign entities is another key role of imaging in sinonasal tumors—a process that relies on specific imaging features seen on CT and MRI. For instance, benign conditions typically demonstrate smooth, well-defined margins, displaced tissue planes, bone remodeling, and T2 hyperintense signal on MRI.
17 godz. temu · The basics of sinonasal tumor imaging are presented, and the most commonly encountered malignant and benign tumors are described. The appearance of each entity on CT and MRI is demonstrated by representative images along with important clinical considerations. Classic radiologic signs that aid diagnosis are shown.
12 wrz 2024 · Sinonasal neoplasms are a remarkably heterogeneous group, reflecting the numerous tissue types present in the nasal cavity and paranasal sinuses. These entities can be relatively benign (ie, respiratory epithelial adenomatoid hamartoma) or can be exceedingly aggressive (ie, NUT carcinoma).
Many sinonasal tumor types exhibit differentiating imaging features on CT and MRI such as anatomical location, invasion of adjacent tissue, metastasis, tumor homogeneity, internal signal intensity, and contrast enhancement.
14 lut 2019 · This article aims to briefly review the histopathologic classifications of sinonasal tumors as well as provide imaging examples and reported imaging characteristics of these new and emerging entities.
Magnetic resonance imaging (MRI) forms an important component in the evaluation of sinonasal tumors. We sought to review the most common sinonasal tumors, including sinonasal anatomy, clinical features, and common imaging features.
