Advances in Computed Tomography Evaluation of Skull Base Diseases

Abstract

Introduction Computed tomography (CT) is a key component in the evaluation of skull base diseases. With its ability to clearly delineate the osseous anatomy, CT can provide not only important tips to diagnosis but also key information for surgical planning. Objectives The purpose of this article is to describe some of the main CT imaging features that contribute to the diagnosis of skull base tumors, review recent knowledge related to bony manifestations of these conditions, and summarize recent technological advances in CT that contribute to image quality and improved diagnosis. Data Synthesis Recent advances in CT technology allow fine-detailed evaluation of the bony anatomy using submillimetric sections. Dual-energy CT material decomposition capabilities allow clear separation between contrast material, bone, and soft tissues with many clinical applications in the skull base. Dual-energy technology has also the ability to decrease image degradation from metallic hardwares using some techniques that can result in similar or even decreased radiation to patients. Conclusions CT is very useful in the evaluation of skull base diseases, and recent technological advances can increase disease conspicuity resulting in improved diagnostic capabilities and enhanced surgical planning.

Imaging of Pediatric Calvarial and Skull Base Tumors: A Cog Diagnostic Imaging Committee/SPR Oncology Committee/Aspnr White Paper

“…In addition, they do not provide detail regarding tumor histoarchitecture and physiology or imaging parameters that can be used for risk stratification. As a result, over past decades, there has been great effort in developing advanced imaging techniques that can address these formidable challenges 35,[40][41][42] .…”

Imaging of pediatric calvarial and skull base tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee/ASPNR White Paper

“…As a result, over past decades, there has been great effort in developing advanced imaging techniques that can address these formidable challenges. 35,[40][41][42] Dual-energy CT allows acquisition of images at high-and lowenergy spectra simultaneously with radiation doses that are equal to or less than the conventional single-energy CT. Virtual non-contrast images can be generated from dual-energy CT dataset, reducing acquisition time and radiation.…”

“…In addition, they do not provide details regarding tumor histoarchitecture and physiology or imaging parameters that can be used for risk stratification. As a result, over past decades, there has been great effort in developing advanced imaging techniques that can address these formidable challenges 35,40–42 …”