Department of Otorhinolaryngology, Head and Neck Surgery, University Hospital, University of Erlangen-Nuremberg, Germany, Waldstrasse 1, 91054, Erlangen, Germany.
Department of Maxillofacial Surgery, University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Eur Arch Otorhinolaryngol. 2021 Nov;278(11):4433-4439. doi: 10.1007/s00405-021-06659-y. Epub 2021 Feb 13.
This pilot study aimed to assess the feasibility of intraoperative assessment of safe margins with confocal laser endomicroscopy (CLE) during oropharyngeal squamous cell carcinoma (OPSCC) surgery.
We included five consecutive patients confirmed OPSCC and planned tumor resection in September and October 2020. Healthy appearing mucosa in the marginal zone, and the tumor margin, were examined with CLE and biopsy during tumor resection. A total of 12,809 CLE frames were correlated with the gold standard of hematoxylin and eosin staining. Three head and neck surgeons and one pathologist were asked to identify carcinoma in a sample of 169 representative images, blinded to the histological results.
Healthy mucosa showed epithelium with uniform size and shape with distinct cytoplasmic membranes and regular vessel architecture. CLE optical biopsy of OPSCC demonstrated a disorganized arrangement of variable cellular morphology. We calculated an accuracy, sensitivity, specificity, PPV, and NPV of 86%, 90%, 79%, 88%, and 82%, respectively, with inter-rater reliability and κ-value of 0.60.
CLE can be easily integrated into the intraoperative setting, generate real-time, in-vivo microscopic images of the oropharynx for evaluation and demarcation of cancer. It can eventually contribute to a less radical approach by enabling a more precise evaluation of the cancer margin.
本研究旨在评估共聚焦激光内镜(CLE)在口咽鳞状细胞癌(OPSCC)手术中评估安全切缘的可行性。
我们纳入了 2020 年 9 月至 10 月期间连续 5 例确诊为 OPSCC 且计划行肿瘤切除术的患者。在肿瘤切除过程中,用 CLE 和活检检查边缘区的健康黏膜和肿瘤边缘。共对 12809 个 CLE 帧与苏木精和伊红染色的金标准相关联。3 名头颈外科医生和 1 名病理学家在不了解组织学结果的情况下,对 169 个有代表性的图像样本中的癌进行识别。
健康的黏膜显示上皮细胞大小和形状均匀,细胞质膜清晰,血管结构规则。OPSCC 的 CLE 光学活检显示出细胞形态的不规则排列。我们计算出准确性、敏感度、特异度、PPV 和 NPV 分别为 86%、90%、79%、88%和 82%,组内可靠性和κ值为 0.60。
CLE 可以很容易地整合到手术中,实时生成口咽的活体微观图像,用于评估和划定癌症边界。它最终可以通过更精确地评估癌症边界,有助于采用更保守的方法。