Department of Thyroid and Breast Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Biosci Trends. 2022 Sep 17;16(4):301-306. doi: 10.5582/bst.2022.01256. Epub 2022 Jun 29.
Identification and localization of parathyroid glands (PGs) remains a challenge for surgeons. The aim of this study was to evaluate the efficiency of intraoperative near-infrared autofluorescence (NIRAF) imaging to detect PGs in thyroid and parathyroid diseases. Seventy-six patients undergoing surgery for thyroid or parathyroid diseases between July 9, 2020 and August 20, 2021 were retrospectively analyzed. Intraoperative carbon nanoparticle (CN) negative imaging and handheld NIRAF imaging were successively performed for each patient. Of 206 PGs that needed to be identified for surgery, 162 were identified by NIRAF imaging, with a theoretical rate of identification of 78.64%. This was higher than the rate of identification with CN negative imaging, which was 75.73%. The number of PGs identified by NIRAF imaging and CN negative imaging did not differ significantly in either total thyroidectomy or thyroid lobectomy. In addition, the autofluorescence (AF) intensity of secondary parathyroid adenoma was weaker than that of normal PGs. NIRAF imaging is potentially a more efficient tool for identification of PGs than CN negative imaging, with a shorter learning curve and lower risk. It may not be well-suited to secondary hyperthyroidism or adenoma, but it was more efficient at identifying excised specimens than visual identification by a surgeon.
甲状旁腺(PGs)的识别和定位仍然是外科医生面临的挑战。本研究旨在评估术中近红外自发荧光(NIRAF)成像在甲状腺和甲状旁腺疾病中检测 PGs 的效率。回顾性分析了 2020 年 7 月 9 日至 2021 年 8 月 20 日期间因甲状腺或甲状旁腺疾病接受手术的 76 名患者。对每位患者依次进行术中碳纳米颗粒(CN)阴性成像和手持 NIRAF 成像。在需要识别以进行手术的 206 个 PG 中,有 162 个通过 NIRAF 成像识别,理论识别率为 78.64%。这高于 CN 阴性成像的识别率 75.73%。在全甲状腺切除术或甲状腺叶切除术中,NIRAF 成像和 CN 阴性成像识别的 PG 数量无显著差异。此外,继发性甲状旁腺腺瘤的自发荧光(AF)强度弱于正常 PGs。与 CN 阴性成像相比,NIRAF 成像在识别 PGs 方面可能是一种更有效的工具,其学习曲线更短,风险更低。它可能不适合治疗继发性甲状腺功能亢进或腺瘤,但在识别切除标本方面比外科医生的视觉识别更有效。