Early Experience With Indocyanine Green (ICG) Fluorescent Guided Transoral Robotic Surgery With the Da Vinci SP.

IF 2.3 3区 医学 Q1 OTORHINOLARYNGOLOGY
Omar A Karadaghy, Michael P Wu, Edward S Sim, Charles D Meyer, Anand T N Kumar, Jeremy D Richmon
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引用次数: 0

Abstract

Importance: Carcinoma of Unknown Primary (CUP) presents a clinical challenge for practitioners. The current diagnostic approach often involves extensive imaging and examinations, with variable success. We aimed to evaluate the effectiveness of Indocyanine Green (ICG) injection using the Da Vinci robot to aid in intraoperative decision making.

Objectives: To evaluate the diagnostic utility of ICG use during robotic surgery to aid in either the identification of the primary tumor or to delineate the extent of disease to guide excision.

Methods: This study involved a retrospective review of patients treated at the Massachusetts Eye and Ear who underwent robotic surgery with the utilization of Indocyanine Green (ICG) from October 1, 2022. All patients in the study were operated on using the SP model of the Da Vinci robot. Basic demographic and pathologic data were recorded. Intraoperative data points included assessing the presence of an identifiable primary tumor using white light only and documenting the confidence level of ICG localization.

Results: In total, 28 patients who underwent robotic surgery using ICG were identified for this study. The mean age of the cohort was 62 years. Twenty-six patients were male, and the primary diagnosis was HPV-related squamous cell carcinoma (SCCa) in 22 patients, HPV-negative SCC in 5 patients, atypia in 1 patient, and metastatic papillary thyroid carcinoma in 1 patient. Nine patients had either PET-localizing or visually identified primary tumors, and ICG was used to guide the surgical extent of resection. The remaining 19 patients had CUP. Within the patients with CUP, the primary was ultimately identified in 16 of the 19 (84.2%) patients. In regard to ICG localization, this resulted in a True Positive detection in 10 patients (52.6%), False Positive detection in 6 patients (31.6%), False Negative detection in 0 patients (0%), and True Negative detection in 3 patients (15.8%). Based on a confusion matrix of the aforementioned values, the calculated sensitivity, specificity, PPV, and NPV were 100%, 33.3%, 62.5%, and 100%, respectively. The discriminatory index of ICG in the detection of unknown primary disease was found to be 66.6%.

Conclusion: The integration of systemic ICG injection with the Da Vinci SP robot's real-time imaging capabilities offers a potential option for enhancing primary tumor identification in CUP patients that adds little to no cost, time, and morbidity to the patient. This preliminary analysis suggests that the use of ICG in robotic surgery for CUP holds promise and warrants further investigation to refine surgical techniques and enhance clinical outcomes.

使用达芬奇 SP 在吲哚青绿 (ICG) 荧光引导下进行经口机器人手术的早期经验。
重要性:不明原发癌(CUP)是临床医师面临的一项挑战。目前的诊断方法通常涉及大量的成像和检查,但效果不一。我们旨在评估使用达芬奇机器人注射吲哚菁绿(ICG)以帮助术中决策的有效性:目的:评估机器人手术中使用 ICG 的诊断效用,以帮助确定原发肿瘤或划定疾病范围,从而指导切除手术:本研究对 2022 年 10 月 1 日以来在马萨诸塞州眼耳科医院接受机器人手术并使用吲哚菁绿(ICG)的患者进行了回顾性分析。研究中的所有患者均使用达芬奇机器人的 SP 型进行手术。记录了基本的人口统计学和病理学数据。术中数据点包括仅使用白光评估是否存在可识别的原发肿瘤,并记录ICG定位的置信度:本研究共确定了28名使用ICG进行机器人手术的患者。患者的平均年龄为 62 岁。26名患者为男性,22名患者的主要诊断结果为HPV相关鳞状细胞癌(SCCa),5名患者为HPV阴性SCC,1名患者为不典型鳞状细胞癌,1名患者为转移性甲状腺乳头状癌。九名患者的原发肿瘤通过 PET 定位或肉眼识别,ICG 用于指导手术切除范围。其余 19 名患者患有 CUP。在患有 CUP 的患者中,19 名患者中有 16 名(84.2%)最终确定了原发肿瘤。在 ICG 定位方面,10 名患者(52.6%)检测出真阳性,6 名患者(31.6%)检测出假阳性,0 名患者(0%)检测出假阴性,3 名患者(15.8%)检测出真阴性。根据上述数值的混淆矩阵,计算出的灵敏度、特异性、PPV 和 NPV 分别为 100%、33.3%、62.5% 和 100%。ICG在检测未知原发性疾病方面的鉴别指数为66.6%:全身 ICG 注射与达芬奇 SP 机器人的实时成像功能相结合,为增强 CUP 患者的原发肿瘤识别能力提供了一种潜在的选择,几乎不会增加患者的成本、时间和发病率。这项初步分析表明,ICG 在 CUP 机器人手术中的应用前景广阔,值得进一步研究,以完善手术技术,提高临床疗效。
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
7.00
自引率
6.90%
发文量
278
审稿时长
1.6 months
期刊介绍: Head & Neck is an international multidisciplinary publication of original contributions concerning the diagnosis and management of diseases of the head and neck. This area involves the overlapping interests and expertise of several surgical and medical specialties, including general surgery, neurosurgery, otolaryngology, plastic surgery, oral surgery, dermatology, ophthalmology, pathology, radiotherapy, medical oncology, and the corresponding basic sciences.
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