Thammineedi Subramanyeshwar Rao, Patnaik Sujit Chyau, Reddy Pratap, Saksena Ajesh Raj, Shukla Srijan, Schissel Makayla E, Smith Lynette M, Are Chandrakanth, Nusrath Syed
Department of Surgical Oncology, Basavatarakam Indo American Cancer Hospital and Research Institute, Hyderabad, Telangana, India.
Department of Biostatistics, University of Nebraska Medical Center, College of Public Health, Nebraska Medical Center, Omaha, USA.
J Surg Oncol. 2025 Jul;132(1):45-53. doi: 10.1002/jso.28145. Epub 2025 May 14.
Anastomotic leak (AL) is a serious complication following esophagectomy and is often linked to poor perfusion of the gastric conduit (GC) and esophageal stump (EC). The aim of this study is to compare the efficacy of intraoperative Indocyanine green fluorescence angiography (ICG-FA) versus visual assessment VA) to assess perfusion status and its impact on the rate of AL.
Fifty-eight esophageal or gastroesophageal junction carcinoma patients were randomized to ICG-FA (28) and VA (30) groups. Perfusion status was assessed with VA alone in the VA group and with VA followed by ICG-FA in the ICG-FA group.
The ICG-FA group had a lower leak rate of 4% when compared to 27% in the VA group (p = 0.03). ICG-FA identified nine cases where VA misjudged the GC tip vascularity, thereby avoiding unnecessary resections. ICG-FA necessitated revision of the GC tip in one case missed by VA and also identified poor perfusion of ES tip in three cases mandating revision which were deemed well-perfused by VA.
ICG-FA demonstrated superiority over VA in assessing perfusion adequacy of the GC and ES, which resulted in a statistically significant decrease in the rate of anastomotic leaks.
吻合口漏(AL)是食管切除术后的一种严重并发症,常与胃代食管(GC)和食管残端(EC)灌注不良有关。本研究旨在比较术中吲哚菁绿荧光血管造影(ICG-FA)与视觉评估(VA)评估灌注状态的效果及其对AL发生率的影响。
58例食管或胃食管交界癌患者被随机分为ICG-FA组(28例)和VA组(30例)。VA组仅通过VA评估灌注状态,ICG-FA组先通过VA评估,然后进行ICG-FA评估。
ICG-FA组的漏率为4%,低于VA组的27%(p = 0.03)。ICG-FA发现了9例VA误判GC尖端血管情况的病例,从而避免了不必要的切除。ICG-FA使1例VA漏诊的病例对GC尖端进行了修正,还发现3例VA认为灌注良好但需修正的ES尖端灌注不良。
ICG-FA在评估GC和ES的灌注充足性方面优于VA,这导致吻合口漏发生率在统计学上显著降低。