Distinguishing symptomatic and asymptomatic trigeminal nerves through radiomics and deep learning: A microstructural study in idiopathic TN patients and asymptomatic control group.

Journal: Neuroradiology
Published Date:

Abstract

PURPOSE: The relationship between mild neurovascular conflict (NVC) and trigeminal neuralgia (TN) remains ill-defined, especially as mild NVC is often seen in asymptomatic population without any facial pain. We aim to analyze the trigeminal nerve microstructure using artificial intelligence (AI) to distinguish symptomatic and asymptomatic nerves between idiopathic TN (iTN) and the asymptomatic control group with incidental grade‑1 NVC.

Authors

  • Ferhat Cuce
    Department of Radiology, Health Science University, Gulhane Training, and Research Hospital, Ankara, Turkey.
  • Gökalp Tulum
    Department of Mechatronics Engineering, Engineering and Architecture Faculty, Nisantasi University, Istanbul, Turkey.
  • Ömer Karadaş
    Sağlık Bilimleri Üniversitesi, Istanbul, Turkey.
  • Muhammet İkbal Isik
    Department of Radiology, Health Sciences University, Gulhane Training and Research Hospital, Ankara, Turkey.
  • Merve Dur İnce
    Sağlık Bilimleri Üniversitesi, Istanbul, Turkey.
  • Sajjad Nematzadeh
    Department of Computer Technologies, Beykent University, Istanbul, Turkey.
  • Marziye Jalili
    Üsküdar University, Skutari, Turkey.
  • Niray Baş
    Sağlık Bilimleri Üniversitesi, Istanbul, Turkey.
  • Berza Özcan
    Sağlık Bilimleri Üniversitesi, Istanbul, Turkey.
  • Onur Osman
    Department of Electrical and Electronics Engineering, Istanbul Topkapi University, Istanbul, Türkiye.

Keywords

No keywords available for this article.