Temporal Bone Imaging Opportunities With Ultra-High-Resolution Computed Tomography
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Dear Editor,
Ultra-high-resolution computed tomography (U-HRCT) is an emerging technology that has been recently introduced in the clinical setting. It offers more spatial resolution than conventional multidetector-row computed tomography (MDCT), demonstrating substantial potential for improving clinical imaging. The main advantages of U-HRCT scanners include smaller detector elements and focus size, more channels and detector rows, and a higher matrix display than MDCT scanners. These features enable U-HRCT to improve spatial resolution from nearly 400-450 µm to approximately 150-200 µm, the width of a human hair [1,2].
Particularly, U-HRCT exhibits considerable potential in temporal bone imaging because of its complex anatomy with submillimeter structures, often requiring optimal multiplanar reconstructions with a high degree of spatial resolution. In the last few years, several publications have demonstrated that UHRCT considerably enhances the identification of small temporal bone structures compared to MDCT, such as the cochlea, incudostapedial joint, stapes footplate, stapedial muscle, and chorda tympani nerve (Fig. 1A and B) [1,3,4]. The anatomical information gained with U-HRCT may aid in the assessment of diseases of the middle and inner ear, such as otosclerosis and superior semicircular canal dehiscence (Fig. 1C and D). In otologic surgery, it may help to optimize patient selection, individualize surgical techniques, and improve postoperative evaluation [5]. Furthermore, the reduction of both “blooming” artifacts (from metallic materials) and partial volume effect gained with U-HRCT is especially beneficial for the precise evaluation of the position of metallic auditory implants (Fig. 1E-G), such as intravestibular stapes prosthesis protrusion and intracochlear electrode array position [6,7]. Recently, Heutink, et al. [8] reported the first in vivo detection of cochlear neo-ossification after cochlear implantation using U-HRCT, which had been previously described only on postmortem examination.
U-HRCT has some inherent challenges. The increased spatial resolution has the downside of either an increase in image noise or an increase in radiation dosage to maintain the same levels of image noise. As a result, noise-reduction strategies become essential, including optimized image acquisition protocols and improved iterative reconstruction techniques. By reducing image noise, these reconstruction techniques allow for substantial radiation dose reduction while preserving image quality [9]. In addition, as spatial resolution increases and slice thickness reduces, the number of slices that must be interpreted will increase considerably. This significant rise in data volume will necessitate greater workstation post-processing power, faster network speeds, and more clinical server storage space [7].
In conclusion, U-HRCT is a commercially available technological advancement that offers higher quality images than conventional computed tomography. Despite increased image noise, U-HRCT enables sharper and more distinct images of the temporal bone, which may allow more accurate visualization of anatomic landmarks, improved disease detection (particularly subtle abnormalities), and optimized preoperative and postoperative evaluation. Successive improvements in noise-reduction strategies will have the potential to positively impact image quality, thereby allowing for radiation exposure reduction. As advances in temporal bone CT continue to expand, future studies will be needed to comprehensively evaluate their impact on clinical practice.
Acknowledgements
The authors thank Mauricio Kurc, MD, PhD for the endoscopic image.
Notes
Conflicts of interest
The authors have no financial conflicts of interest.
Author Contributions
Conceptualization: Carolina Ribeiro Soares, Rafael Maffei Loureiro. Data curation: Rafael Maffei Loureiro, Carolina Ribeiro Soares. Investigation: Rafael Maffei Loureiro. Project administration: Rafael Maffei Loureiro. Supervision: Carolina Ribeiro Soares. Visualization: Rafael Maffei Loureiro. Writing—original draft: Rafael Maffei Loureiro, Daniel Vaccaro Sumi. Writing—review & editing: all authors. Approval of final manuscript: all authors.