Evaluation of Facial Paralysis After Cerebellopontine Angle Tumor Surgery with Artificial Intelligence Based Software


Öztürk S., Dölen D., Sabancı P. A.

1st Congress of Yaşargil Microneurosurgery Academy, İstanbul, Türkiye, 4 - 07 Haziran 2024, ss.213

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.213
  • İstanbul Üniversitesi Adresli: Evet

Özet

Evaluation of Facial Paralysis After Cerebellopontine Angle Tumor Surgery with Artificial Intelligence Based Software

Background: Cerebellopontine angle (CPA) tumors are located near the cisternal and meatal intra-arachnoid portions of the facial nerve. Surgery for CPA tumors often results in facial paralysis (FP). The House-Brackmann scale is commonly used to assess FP. However, assessing FP using the House-Brackmann scale alone may not be sufficient for outpatient follow-up, because the assessment may vary depending on the experience of the clinician. Therefore, in this study, we aimed to evaluate FP using an artificial intelligence-based software. This software quantitatively and objectively assesses the degree of FP from a short video of patients.

Methods: The study included four patients who developed FP after CPA tumor surgery. On the first day and first month after surgery, the patients were taken to a video recording room. Two of the patients were male and two were female, with two having right-sided and two having left-sided FP. During the video, the patients were instructed to blink and laugh three times consecutively. The authors uploaded a recorded video to their software, which identifies 68 specific points on the face. The software records time-dependent coordinate changes in vertical and horizontal oral commissure movement and palpebral aperture distance (Figure 1).

Results: The study included four patients. No significant improvement in FP was observed in the patients during the 1-month follow-up videos. All mouth range of motion ratios were less than one in right FP and greater than one in left FP. (Table 1).

Conclusions: Artificial intelligence-based software allows quantitative assessment of FP following CPA tumor surgery. This allows for the objective demonstration of the degree of improvement in FP.