Direct visualization of intraparotid facial nerve assisting in parotid tumor resection
Copyright © 2024 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved..
Precise recognition of the intraparotid facial nerve (IFN) is crucial during parotid tumor resection. We aimed to explore the application effect of direct visualization of the IFN in parotid tumor resection. Fifteen patients with parotid tumors were enrolled in this study and underwent specific radiological scanning in which the IFNs were displayed as high-intensity images. After image segmentation, IFN could be preoperatively directly visualized. Mixed reality combined with surgical navigation were applied to intraoperatively directly visualize the segmentation results as real-time three-dimensional holograms, guiding the surgeons in IFN dissection and tumor resection. Radiological visibility of the IFN, accuracy of image segmentation and postoperative facial nerve function were analyzed. The trunks of IFN were directly visible in radiological images for all patients. Of 37 landmark points on the IFN, 36 were accurately segmented. Four patients were classified as House-Brackmann Grade I postoperatively. Two patients with malignancies had postoperative long-standing facial paralysis. Direct visualization of IFN was a feasible novel method with high accuracy that could assist in recognition of IFN and therefore potentially improve the treatment outcome of parotid tumor resection.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery - (2024) vom: 18. März |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Hu, Lei-Hao [VerfasserIn] |
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| Links: |
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| Themen: |
Direct visualization |
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| Anmerkungen: |
Date Revised 05.04.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1016/j.jcms.2024.03.014 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370699645 |
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| 520 | |a Copyright © 2024 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved. | ||
| 520 | |a Precise recognition of the intraparotid facial nerve (IFN) is crucial during parotid tumor resection. We aimed to explore the application effect of direct visualization of the IFN in parotid tumor resection. Fifteen patients with parotid tumors were enrolled in this study and underwent specific radiological scanning in which the IFNs were displayed as high-intensity images. After image segmentation, IFN could be preoperatively directly visualized. Mixed reality combined with surgical navigation were applied to intraoperatively directly visualize the segmentation results as real-time three-dimensional holograms, guiding the surgeons in IFN dissection and tumor resection. Radiological visibility of the IFN, accuracy of image segmentation and postoperative facial nerve function were analyzed. The trunks of IFN were directly visible in radiological images for all patients. Of 37 landmark points on the IFN, 36 were accurately segmented. Four patients were classified as House-Brackmann Grade I postoperatively. Two patients with malignancies had postoperative long-standing facial paralysis. Direct visualization of IFN was a feasible novel method with high accuracy that could assist in recognition of IFN and therefore potentially improve the treatment outcome of parotid tumor resection | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Direct visualization | |
| 650 | 4 | |a Facial paralysis | |
| 650 | 4 | |a Intraparotid facial nerve | |
| 650 | 4 | |a Multimodal image fusion | |
| 650 | 4 | |a Parotid tumor | |
| 700 | 1 | |a Yu, Yao |e verfasserin |4 aut | |
| 700 | 1 | |a Tang, Zu-Nan |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Zhi-Peng |e verfasserin |4 aut | |
| 700 | 1 | |a Yang, Cong |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Guang-Yan |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Wen-Bo |e verfasserin |4 aut | |
| 700 | 1 | |a Peng, Xin |e verfasserin |4 aut | |
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