Xiaoxue Fan1, Changwei Ding1, Chen Zhang2, Yuanrui Li3, and Yang Hou1
1Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China, 2MR Research Collaboration, Siemens Healthineers, Beijing, China, 3MR Clinical Application, Siemens Healthineers, Shenyang, China
Synopsis
Keywords: Head & Neck/ENT, Head & Neck/ENT
Motivation: Identification of the spatial relationship between the parotid tumor and the extracranial segment of the facial nerve can facilitate preoperative planning.
Goal(s): We compared image quality and diagnostic efficacy between double-echo steady-state with water (DESS) and constructive interference in steady-state (CISS) sequences.
Approach: DESS and CISS sequences were used to determine the visibility of the extracranial segment of the facial nerve in healthy volunteers, then locate parotid tumors and facilitate patient diagnosis.
Results: Compared with DESS images, CISS images more reliably showed the location of the facial nerve relative to the lesion in patients with parotid tumors
Impact: CISS
demonstrates good visualization of the parotid branches (temporofacial and
cervicofacial trunks) compared with DESS. Moreover, CISS is a reliable and
direct method for identifying the locations of parotid tumors.
Introduction
Thus
far, reliable and direct observation of the extracranial segment of the facial
nerve remains challenging. The three-dimensional (3D) double-echo steady-state
with water (DESS) sequence can reliably and directly depict morphological
changes in the extracranial segment of the facial nerve. They can also show the
relationships of parotid tumors with the facial nerve, exhibiting high
diagnostic efficacy in tumor localization 1-3. Additionally,
Guenette et al. showed that the constructive interference in steady-state
(CISS) sequence is superior for facial nerve tracing, can clearly show the main
trunk of the parotid nerve and the two main branches of the facial nerve in
parotid tumors (i.e., temporal and cervical trunks), and has good efficacy in terms
of localizing parotid tumors4. However, that study included a low number
of patients (three) with surgically confirmed parotid tumors. Here, we compared
the abilities of 3D DESS and 3D CISS to distinguish the extracranial segment of
the facial nerve and explored their diagnostic performances in parotid tumor localization.Methods
Between
June 2022 and July 2023, this prospective study included 32 facial nerves in 16
healthy volunteers (Fig. 1) and 25 facial nerves in 25 patients with parotid tumors
(Fig. 2) who underwent noncontrast-enhanced extracranial facial nerve MRI with
both DESS and CISS sequences. All imaging examinations were performed on a 3T
MR scanner (MAGNETOM Prisma, Siemens Healthcare, Erlangen, Germany) equipped
with a 64-channel head and neck coil. All participants
provided written informed consent to take part in the study. The imaging
parameters for 3D DESS were as follows: retention time (TR), 13.64 ms; echo
time (TE), 4.68 ms; field of view (FOV), 160 mm; matrix size, 320×320; slice
thickness, 0.5 mm; and parallel imaging acceleration factor, 3. The imaging
parameters for 3D CISS were as follows: TR, 5.83 ms for all frequencies; TE,
2.57 ms for each frequency; FOV, 160 mm; matrix size, 320×320; slice thickness,
0.5 mm; and parallel imaging acceleration factor, 3. The overall scan time for parotid
MRI was approximately 10–15 minutes. All images were independently reviewed by
two radiologists, who subjectively evaluated the image quality score (IQS) using a 5-point Likert scale (IQS ≥3 for diagnostic quality) (Table 1).
Levels of inter- and intrarater agreement were assessed using Cohen’s kappa
coefficient (κ). Receiver operating
characteristic analysis was conducted, and the diagnostic performances of DESS and CISS images in localizing parotid tumors were calculated.Results
In healthy
volunteers, good inter- and intrareader agreement for IQS (κ = 0.724–0.816) was
observed. Although both experts could distinguish the facial nerve trunk
structures well on DESS and CISS (Fig.3a), but no statistical difference was
found in the identifying facial nerve trunk (p=0.061) (Fig. 3). Taking the
level of facial nerve bifurcation as a reference, both experts were able to
clearly distinguish the two main branches (temporal and cervical trunks) on
both sequences; however, the CISS sequence scored slightly higher than DESS for
the degree of clarity of the temporal and cervical trunks display (p < 0.001
for both) (Fig. 3). In patients with parotid tumor, CISS also performed better
in the continuity of facial nerve to tumor, spatial relationship, and diagnostic
confidence than DESS (p<0.001 for all) (Fig. 3).
In terms of parotid
tumor localization,
CISS demonstrated excellent performance, similar to DESS (area under the curve,
1.000 vs. 0.958, p=0.1482) (Table 2).Discussion
This
study showed that CISS outperforms DESS in terms of identifying the extracranial
facial nerve and localizing parotid tumors. Specifically, CISS was able to
visualize the spatial relationship between the facial nerve and the tumor in a
manner that displayed excellent agreement with intraoperative findings. Furthermore,
CISS was more accurate than DESS for parotid localization and diagnosis, and it
could satisfy preoperative surgical planning requirements. Previous studies showed
that DESS images could trace the facial nerve trunk and had high accuracy
(>90%) for deep lobe lesions in patients with parotid tumors1, 2. Similarly, we found that
DESS images enabled clear identification of the facial nerve trunk in healthy volunteers
and had high diagnostic accuracy (92.6%) for deep lobe lesions in patients with
parotid tumors. Accuracy was slightly lower in the present study than in the
study by Fujii et al2 (97.8%), possibly because the previous study
included more deep lobe lesions (25.2%), whereas 11.1% (3/27) of patients in
the present study had deep lobe lesions, consistent with the incidence of deep
lobe lesions in the parotid gland (10%)5Conclusion
Compared
with DESS, CISS achieved comparable diagnostic performance in parotid tumor
localization; it also demonstrated favorable image quality and more reliable
morphological visualization of the facial nerve.Acknowledgements
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