Pollmann Lukas, Juratli Mazen, Roushansarai Nicola, Pascher Andreas, Hölzen Jens Peter
Department for General, Visceral and Transplant Surgery, University Hospital Münster, 48149 Munster, Germany.
J Clin Med. 2023 May 18;12(10):3550. doi: 10.3390/jcm12103550.
Near-infrared (NIR) imaging with indocyanine green (ICG) has proven to be useful in general, visceral, and transplant surgery. However, most studies have performed only qualitative assessments. Therefore, a systematic overview of all studies performing quantitative indocyanine green evaluation in general, visceral, and transplant surgeries should be conducted. Free term and medical subject heading (MeSH) term searches were performed in the Medline and Cochrane databases until October 2022. The main categories of ICG quantification were esophageal surgery (24.6%), reconstructive surgery (24.6%), and colorectal surgery (21.3%). Concordantly, anastomotic leak (41%) was the main endpoint, followed by the assessment of flap perfusion (23%) and the identification of structures and organs (14.8%). Most studies examined open surgery (67.6%) or laparoscopic surgery (23.1%). The analysis was mainly carried out using manufacturer software (44.3%) and open-source software (15.6%). The most frequently analyzed parameter was intensity over time for blood flow assessment, followed by intensity alone or intensity-to-background ratios for structure and organ identification. Intraoperative ICG quantification could become more important with the increasing impact of robotic surgery and machine learning algorithms for image and video analysis.
使用吲哚菁绿(ICG)的近红外(NIR)成像已被证明在普通外科、内脏外科和移植手术中很有用。然而,大多数研究仅进行了定性评估。因此,应该对所有在普通外科、内脏外科和移植手术中进行吲哚菁绿定量评估的研究进行系统综述。在Medline和Cochrane数据库中进行了自由词和医学主题词(MeSH)检索,检索截至2022年10月。ICG定量的主要类别是食管手术(24.6%)、重建手术(24.6%)和结直肠手术(21.3%)。相应地,吻合口漏(41%)是主要终点,其次是皮瓣灌注评估(23%)和结构与器官识别(14.8%)。大多数研究检查了开放手术(67.6%)或腹腔镜手术(23.1%)。分析主要使用制造商软件(44.3%)和开源软件(15.6%)进行。最常分析的参数是用于血流评估的随时间变化的强度,其次是单独的强度或用于结构和器官识别的强度与背景比值。随着机器人手术以及用于图像和视频分析的机器学习算法的影响日益增加,术中ICG定量可能会变得更加重要。