Visualization of the morphology and pathology of the peripheral branches of the cranial nerves using three-dimensional high-resolution high-contrast magnetic resonance neurography
Introduction
Peripheral branches of the cranial nerves are vulnerable to various pathological processes such as tumors, inflammation, and trauma. These processes induce certain symptoms and affected a patient’s treatment plan and prognosis [1,2]. Nerve involvement impact the prediction of outcome for patient with head and neck tumors. In a previous study, 18F-Fludeoxyglucose positron emission tomography (18F-FDG PET) was reported 100 % detection rate (n = 28/28) of perineural spread (PNS), and increased cranial nerve SUVmax was significantly associated with poorer overall survival [3]. Routine MRI showed prognostic value of cranial nerve involvement in the T4a/b subclassification of nasopharyngeal carcinoma (NPC) [4]. However, it is still difficult to achieve highly selective neurography using traditional method because of the poor contrast between peripheral branches of the cranial nerves and soft tissues [5]. A nerve-selective imaging method is supposed to improve the detection and evaluation of cranial nerve involvement. Therefore, advanced magnetic resonance neurography (MRN) should be developed for acquiring anatomic details of cranial nerves.
Visualizing the peripheral branches of the cranial nerves is limited because of their widespread distribution, tortuous segmentation, complicated surrounding structures, and defects in high tissue contrast imaging when using traditional magnetic resonance (MR) sequences [1,2,6,7]. With the rapid development of magnetic resonance imaging (MRI), different high-resolution sequences have been developed to depict the structures of the cranial nerves [[8], [9], [10], [11], [12]]. However, in these studies, only short portions of the large branches of certain nerves [e.g., inferior alveolar nerve (IAN)] could be visualized simultaneously, whereas certain tiny tortuous peripheral branches of the cranial nerves could not be visualized clearly. The cranial nerves and surrounding structures are complex. Thus, an accurate assessment of the relationship between lesions and nerves require substantial training, even for radiologists [13]. Current high-resolution sequences have to be reconstructed for each nerve to acquire integrated image [13,14]. Therefore, a 3D high resolution high contrast MRN that depict all major branches of the cranial nerves simultaneously will be very helpful, even for clinicians without special training, to evaluate the condition of nerve involvement.
In this study, a novel MR neurography was applied to image the peripheral branches of the cranial nerves. It was based on the three-dimensional (3D) turbo spin echo with variable flip-angle (SPACE) short-tau inversion recovery (STIR) sequence with the T2-shortening effect of a paramagnetic contrast agent for robust background suppression. We aimed to assess the feasibility and advantages of the three-dimensional high-resolution high-contrast magnetic resonance neurography (HRHC-MRN) for visualizing the morphology and pathology of the peripheral branches of the cranial nerves.
Section snippets
Study participants
This prospective study was approved by the institutional ethics board, and written informed consent was obtained from all participants.
From July to September 2018, we enrolled 35 volunteers (19 women, 16 men; aged 18–69 years, median age, 48 years) without a history of cranial neuropathy. Exclusion criteria included symptoms of sensory and motor dysfunction of cranial nerves, a history of malignant tumor, or any other indicators of pathologies involving cranial nerves. All the volunteers
Results
Based on the side-to-side comparisons, the CR(nerve to fat) of right side (12.52 ± 4.84) was significantly higher than that of left side (10.00 ± 4.23)(P = 0.002) on cMRN, and there were no other significant side-to-side difference on both cMRN and HRHC-MRN (Table 3). The SNR(IAN) on HRHC-MRN (50.58 ± 20.32) was significantly lower than SNR(IAN) on cMRN (87.28 ± 24.25) (P < 0.001). The CNR(nerve to bone marrow), CNR(nerve to muscle), and CNR(nerve to fat) on HRHC-MRN (51.84 ± 24.63,
Discussion
In this study, HRHC-MRN was introduced to delineate the peripheral branches of the cranial nerves. The technique combines the conventional 3D SPACE-STIR T2W sequence (cMRN) and the T2-shortening effect of a paramagnetic contrast agent. Most previous studies on MRN attempted to maximize the contrast ratio (CR) between the nerves and adjacent tissue to distinguish normal structure from nerve lesions [[15], [16], [17]]. On comparing the signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)
Limitations and conclusion
We acknowledge this study had limitations. Firstly, the relatively long scan time of HRHC-MRN might make image acquisition more susceptible to motion artifact. Therefore, further parameter optimization and application of new techniques such as CS are needed for shortening the scan time in future studies. Secondly, the intravenous contrast administration needed of HRHC-MRN imposed restrictions on its clinical application. In this study, only patients with head and neck tumors requiring
Funding
1. Innovative Research Foundation of Huazhong University of Science and Technology (2016YXMS234).
2. Natural Science Foundation of Hubei Province (2017CFB708).
3. Scientific Research Foundation of Wuhan Union Hospital (02.03.2018-224).
Declaration of Competing Interest
None.
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- 1
These two authors contributed equally to this study.
- 2
These two authors contributed equally to this study.