Transoral robotic surgery in the diagnosis and treatment of primary unknown head and neck squamous cell carcinoma: A preliminary single centre experience

IF 2.3 3区医学 Q2 SURGERY International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2024-06-21 DOI:10.1002/rcs.2652

Yinghui Zhi, Yabing Zhang, Bin Zhang

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Abstract

Background

Squamous cell carcinoma of unknown primary (CUP) in the head and neck is difficult to diagnose and treat. This report outlines 11 cases of CUP treated with transoral robotic surgery (TORS), aimed at investigating the diagnostic efficiency of primary tumour and radical resection effectiveness of TORS.

Methods

11 cases of CUP among 68 oropharyngeal cancer patients treated by TORS were analysed retrospectively.

Results

All the 11 cases received TORS with cervical lymph node dissection. Primary tumours were found in 8 cases (72.7%), 4 cases in the palatine tonsil and 4 cases in the base of the tongue. The average diameter of the primary tumour was 1.65 cm. All patients resumed eating by mouth within 24 h, no tracheotomy, no pharyngeal fistula and no postoperative death. The 3-year disease-free survival rate was 91%.

Conclusions

TORS can improve the diagnostic efficiency of primary tumour of CUP and achieve good oncology and functional results.

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经口机器人手术诊断和治疗原发性未知头颈部鳞状细胞癌：一个单中心的初步经验

背景头颈部原发灶不明的鳞状细胞癌（CUP）难以诊断和治疗。本报告概述了 11 例经口机器人手术（TORS）治疗的 CUP，旨在研究原发肿瘤的诊断效率和 TORS 的根治性切除效果。方法回顾性分析 68 例口咽癌患者中接受 TORS 治疗的 11 例 CUP 病例。结果所有 11 例患者均接受了 TORS 和颈淋巴结清扫术。原发肿瘤有 8 例（72.7%），其中 4 例位于腭扁桃体，4 例位于舌根部。原发肿瘤的平均直径为 1.65 厘米。所有患者均在 24 小时内恢复经口进食，无气管切开，无咽瘘，无术后死亡。3 年无病生存率为 91%。结论 TORS 可以提高 CUP 原发肿瘤的诊断效率，并取得良好的肿瘤学和功能效果。

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.