The sinonasal cavities are a complex framework of air cavities, variable in number and size, located in an overall small anatomical area. The high variety of tissues present in this region accounts for the extremely wide range of benign and malignant tumors, only a minority of which display a typical imaging appearance. However, imaging plays a pivotal role in treatment planning, either allowing to select tumors amenable to purely endoscopic resection or in advanced malignant tumors, detecting tumor invasion in crucial anatomic areas (such as the orbit, anterior skull base, and masticator space). Detailed knowledge of the anatomy is the key to exploit all the information provided by imaging, not only at staging but also during follow-up. A pattern of expected anatomic changes is predictable based on the treatment strategy and serves as a guide to detect recurrent tumors.
Farina, D., Lombardi, D., Palumbo, G., Ravanelli, M. (2021). Neoplasms of the Sinonasal Cavities. In R. Hermans (a cura di), Head and Neck Cancer Imaging (pp. 283-317). Springer Science and Business Media Deutschland GmbH [10.1007/174_2020_236].
Neoplasms of the Sinonasal Cavities
Palumbo, Giovanni;
2021
Abstract
The sinonasal cavities are a complex framework of air cavities, variable in number and size, located in an overall small anatomical area. The high variety of tissues present in this region accounts for the extremely wide range of benign and malignant tumors, only a minority of which display a typical imaging appearance. However, imaging plays a pivotal role in treatment planning, either allowing to select tumors amenable to purely endoscopic resection or in advanced malignant tumors, detecting tumor invasion in crucial anatomic areas (such as the orbit, anterior skull base, and masticator space). Detailed knowledge of the anatomy is the key to exploit all the information provided by imaging, not only at staging but also during follow-up. A pattern of expected anatomic changes is predictable based on the treatment strategy and serves as a guide to detect recurrent tumors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


