Department of Otorhinolaryngology-Head and Neck Surgery, University of Pennsylvania, Philadelphia, PA.
Fellow, Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA.
Int Forum Allergy Rhinol. 2017 Sep;7(9):884-888. doi: 10.1002/alr.21982. Epub 2017 Jul 14.
Over the past 20 years, image guidance navigation has been used with increasing frequency as an adjunct during sinus and skull base surgery. These devices commonly utilize surface registration, where varying pressure of the registration probe and loss of contact with the face during the skin tracing process can lead to registration inaccuracies, and the number of registration points incorporated is necessarily limited. The aim of this study was to evaluate the use of novel facial recognition software for image guidance registration.
Consecutive adults undergoing endoscopic sinus surgery (ESS) were prospectively studied. Patients underwent image guidance registration via both conventional surface registration and facial recognition software. The accuracy of both registration processes were measured at the head of the middle turbinate (MTH), middle turbinate axilla (MTA), anterior wall of sphenoid sinus (SS), and nasal tip (NT).
Forty-five patients were included in this investigation. Facial recognition was accurate to within a mean of 0.47 mm at the MTH, 0.33 mm at the MTA, 0.39 mm at the SS, and 0.36 mm at the NT. Facial recognition was more accurate than surface registration at the MTH by an average of 0.43 mm (p = 0.002), at the MTA by an average of 0.44 mm (p < 0.001), and at the SS by an average of 0.40 mm (p < 0.001). The integration of facial recognition software did not adversely affect registration time.
In this prospective study, automated facial recognition software significantly improved the accuracy of image guidance registration when compared to conventional surface registration.
在过去的 20 年中，影像导航技术作为鼻窦和颅底手术的辅助手段，其应用频率逐渐增高。这些设备通常采用表面配准，而配准探头的不同压力以及在皮肤描记过程中与面部失去接触，可能导致配准不准确，并且所采用的配准点数量必然有限。本研究旨在评估新型面部识别软件在影像导航配准中的应用。
连续纳入行内镜鼻窦手术（ESS）的成年患者，前瞻性研究。患者分别采用传统的表面配准和面部识别软件进行影像导航配准。测量中鼻甲头部（MTH）、中鼻甲腋（MTA）、蝶窦前壁（SS）和鼻尖（NT）处两种配准过程的准确性。
共纳入 45 例患者。面部识别的准确性在 MTH 处平均为 0.47mm，在 MTA 处为 0.33mm，在 SS 处为 0.39mm，在 NT 处为 0.36mm。与表面配准相比，面部识别在 MTH 处的准确性平均提高了 0.43mm（p=0.002），在 MTA 处提高了 0.44mm（p＜0.001），在 SS 处提高了 0.40mm（p＜0.001）。面部识别软件的集成并未对配准时间产生不利影响。
在这项前瞻性研究中，与传统的表面配准相比，自动面部识别软件显著提高了影像导航配准的准确性。
