Suppr超能文献

使用 Mueller 偏光成像术改善头颈部手术中的神经可视化:猪模型中的临床前可行性研究。

Improved Nerve Visualization in Head and Neck Surgery Using Mueller Polarimetric Imaging: Preclinical Feasibility Study in a Swine Model.

机构信息

Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, 111 Michigan Avenue NW, Washington, District of Columbia, 20010.

Department of Surgery, Kyungpook National University Chilgok Hospital, 807 Hoguk-ro Buk-gu, Daegu, 41404, South Korea.

出版信息

Lasers Surg Med. 2021 Dec;53(10):1427-1434. doi: 10.1002/lsm.23422. Epub 2021 May 26.

Abstract

BACKGROUND AND OBJECTIVES

Meticulous dissection and identification of nerves during head and neck surgery are crucial for preventing nerve damage. At present, nerve identification relies heavily on the surgeon's knowledge of anatomy, optionally combined with intraoperative neuromonitoring. Recently, optical techniques such as Mueller polarimetric imaging (MPI) have shown potential to improve nerve identification.

STUDY DESIGN/MATERIALS AND METHODS: With institutional approval, seven 25-35 kg Yorkshire pigs underwent cervical incision in the central neck. Intraoperative images were obtained using our in-house MPI system. Birefringence maps from the MPI system were processed to quantify the values between 0 and 255 from different tissue types; an active contour model was applied to further improve nerve visualization on the corresponding color images.

RESULTS

Among the seven pigs, the vagus nerves and recurrent laryngeal nerves were successfully differentiated with a mean intensity of 130.954 ± 20.611, which was significantly different (P < 0.05) from those of arteries (78.512 ± 27.78) and other surrounding tissues (82.583 ± 35.547). There were no imaging-related complications during the procedure. © 2021 Wiley Periodicals LLC.

CONCLUSIONS

MPI is a potentially complementary intraoperative tool for nerve identification in adjacent tissues.

摘要

背景与目的

在头颈部手术中,精细解剖和识别神经对于防止神经损伤至关重要。目前,神经识别主要依赖于外科医生的解剖学知识,可选地结合术中神经监测。最近,光学技术如 Mueller 偏振成像(MPI)已显示出改善神经识别的潜力。

研究设计/材料和方法:在机构批准的情况下,7 只 25-35kg 的约克夏猪接受了颈部中央切口。使用我们内部的 MPI 系统获得术中图像。MPI 系统的双折射图被处理以量化来自不同组织类型的 0 到 255 的值;应用主动轮廓模型以进一步改善相应彩色图像上的神经可视化。

结果

在这 7 只猪中,迷走神经和喉返神经成功区分,平均强度为 130.954±20.611,与动脉(78.512±27.78)和其他周围组织(82.583±35.547)的强度明显不同(P<0.05)。在手术过程中没有与成像相关的并发症。©2021 年 Wiley 期刊有限公司。

结论

MPI 是一种潜在的补充性术中工具,可用于识别相邻组织中的神经。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验