H Fujii1, A Fujita2, A Yang3, H Kanazawa1, K Buch4, O Sakai5, H Sugimoto1. 1. From the Department of Radiology (H.F., A.F., H.K., H.S.), Jichi Medical University School of Medicine, Tochigi, Japan. 2. From the Department of Radiology (H.F., A.F., H.K., H.S.), Jichi Medical University School of Medicine, Tochigi, Japan Departments of Radiology (A.F., K.B., O.S.) akifuji@jichi.ac.jp. 3. Boston University School of Medicine (A.Y.), Boston, Massachusetts. 4. Departments of Radiology (A.F., K.B., O.S.). 5. Departments of Radiology (A.F., K.B., O.S.) Otolaryngology-Head and Neck Surgery (O.S.) Radiation Oncology (O.S.), Boston Medical Center.
Abstract
BACKGROUND AND PURPOSE: Although visualization of the extracranial branches of the cranial nerves has improved with advances in MR imaging, only limited studies have assessed the detection of extracranial branches of the mandibular nerve (V3). We investigated the detectability of the branches of V3 on a 3D double-echo steady-state with water excitation sequence. MATERIALS AND METHODS: We retrospectively evaluated the detectability of the 6 branches of the V3, the masseteric, buccal, auriculotemporal, lingual, inferior alveolar, and mylohyoid nerves, by using a 5-point scale (4, excellent; 3, good; 2, fair; 1, poor; and 0, none) in 86 consecutive patients who underwent MR imaging with the 3D double-echo steady-state with water excitation sequence. Weighted κ analysis was used to calculate interobserver variability among the 3 readers. RESULTS: The detection of the lingual and inferior alveolar nerves was the most successful, with excellent average scores of 3.80 and 3.99, respectively. The detection of the masseteric, the buccal, and the auriculotemporal nerves was good, with average scores of 3.31, 2.67, and 3.11, respectively. The mylohyoid nerve was difficult to detect with poor average scores of 0.62. All nerves had excellent interobserver variability across the 3 readers (average weighted κ value, 0.95-1.00). CONCLUSIONS: The 3D double-echo steady-state with water excitation sequence demonstrated excellent visualization of the extracranial branches of V3 in most patients. The 3D double-echo steady-state with water excitation sequence has the potential for diagnosing V3 pathologies and preoperatively identifying peripheral cranial nerves to prevent surgical complications.
BACKGROUND AND PURPOSE: Although visualization of the extracranial branches of the cranial nerves has improved with advances in MR imaging, only limited studies have assessed the detection of extracranial branches of the mandibular nerve (V3). We investigated the detectability of the branches of V3 on a 3D double-echo steady-state with water excitation sequence. MATERIALS AND METHODS: We retrospectively evaluated the detectability of the 6 branches of the V3, the masseteric, buccal, auriculotemporal, lingual, inferior alveolar, and mylohyoid nerves, by using a 5-point scale (4, excellent; 3, good; 2, fair; 1, poor; and 0, none) in 86 consecutive patients who underwent MR imaging with the 3D double-echo steady-state with water excitation sequence. Weighted κ analysis was used to calculate interobserver variability among the 3 readers. RESULTS: The detection of the lingual and inferior alveolar nerves was the most successful, with excellent average scores of 3.80 and 3.99, respectively. The detection of the masseteric, the buccal, and the auriculotemporal nerves was good, with average scores of 3.31, 2.67, and 3.11, respectively. The mylohyoid nerve was difficult to detect with poor average scores of 0.62. All nerves had excellent interobserver variability across the 3 readers (average weighted κ value, 0.95-1.00). CONCLUSIONS: The 3D double-echo steady-state with water excitation sequence demonstrated excellent visualization of the extracranial branches of V3 in most patients. The 3D double-echo steady-state with water excitation sequence has the potential for diagnosing V3 pathologies and preoperatively identifying peripheral cranial nerves to prevent surgical complications.
Authors: Adib Al-Haj Husain; Daphne Schönegg; Silvio Valdec; Bernd Stadlinger; Thomas Gander; Harald Essig; Marco Piccirelli; Sebastian Winklhofer Journal: J Imaging Date: 2022-03-17