Thyroid surgery under nerve auto-fluorescence & artificial intelligence tissue identification software guidance.

IF 2.1 3区 医学 Q2 SURGERY
Fernando Dip, Rene Aleman, Alberto Rancati, Gustavo Eiben, Raul J Rosenthal, Diego Sinagra
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引用次数: 0

Abstract

Thyroid cancer is a common malignancy that requires comprehensive clinical evaluation prior to adequate surgical management. Over the last three decades thyroid surgery has tripled and is considered one of the most commonly performed procedures in general surgery. These procedures are associated with potential postoperative complications with significant deterioration in the patient's quality of life. While the current rates of recurrent laryngeal nerve injury following thyroidectomy have decreased secondary to intraoperative neuromonitoring, thyroid surgery remains the leading cause of iatrogenic injury. The authors herein present a case of a thyroid nodule with cervical lymph node involvement undergoing total thyroidectomy guided by near-ultraviolet (NUV) imaging nerve auto-fluorescent technology to visualize, identify and protect vital structures.

神经自动荧光与人工智能组织识别软件指导下的甲状腺手术。
甲状腺癌是一种常见的恶性肿瘤,在适当的手术治疗前需要全面的临床评估。在过去的三十年中,甲状腺手术增加了两倍,被认为是普通外科中最常用的手术之一。这些手术与潜在的术后并发症和患者生活质量的显著恶化有关。虽然目前甲状腺切除术后喉返神经损伤的发生率因术中神经监测而下降,但甲状腺手术仍然是医源性损伤的主要原因。作者在此报告一例甲状腺结节伴颈部淋巴结累及行甲状腺全切除术的病例,采用近紫外线(NUV)成像神经自动荧光技术来观察、识别和保护重要结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
8.70%
发文量
342
审稿时长
4-8 weeks
期刊介绍: Langenbeck''s Archives of Surgery aims to publish the best results in the field of clinical surgery and basic surgical research. The main focus is on providing the highest level of clinical research and clinically relevant basic research. The journal, published exclusively in English, will provide an international discussion forum for the controlled results of clinical surgery. The majority of published contributions will be original articles reporting on clinical data from general and visceral surgery, while endocrine surgery will also be covered. Papers on basic surgical principles from the fields of traumatology, vascular and thoracic surgery are also welcome. Evidence-based medicine is an important criterion for the acceptance of papers.
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