Villegas-Tovar E, Jimenez-Lillo J, Jimenez-Valerio V, Diaz-Giron-Gidi A, Faes-Petersen R, Otero-Piñeiro A, De Lacy F B, Martinez-Portilla R J, Lacy A M
Hospital Clínic de Barcelona, Universitat de Barcelona, Sabino de Arana 1, 08028, Barcelona, Spain.
Hospital Médica Sur, Mexico City, Mexico.
Surg Endosc. 2020 Mar;34(3):1035-1047. doi: 10.1007/s00464-019-07274-z. Epub 2019 Nov 21.
Indocyanine green has been widely employed as a secure and easy technique for sentinel lymph node mapping in different types of cancer. Nonetheless, the usage of Indocyanine green has not been fully implemented due to the heterogeneous results found in published studies. Thus, the objective of this meta-analysis is to evaluate the overall performance of Indocyanine green for sentinel lymph node mapping and node metastasis in patients undergoing colorectal cancer surgery.
An extensive systematic search was performed to identify relevant studies in English and Spanish with no time limit restrictions. For the meta-analysis, a hierarchical summary receiver operating characteristic curve (HSROCs) was constructed, and quantitative data synthesis was performed using random effects models. Specificity, sensitivity, positive, and negative likelihood ratios were obtained from the corresponding HSROC. Between-study heterogeneity was visually evaluated using Galbraith plot, and publication bias was quantified using Deeks' method.
A total of 11 studies were included for analysis. The pooled detection rate for sentinel lymph node mapping was 91% (80-98%). Covariates significantly influencing the pooled detection rate were having colon cancer (estimate: 1.3001; 1.114 to 1.486; p < 0.001) and the usage of a laparoscopic approach (estimate: 1.3495; 1.1029 to 1.5961; p < 0.001). The performance of Indocyanine green for the detection of metastatic lymph nodes yielded an area under the roc curve of 66.5%, sensitivity of 64.3% (51-76%), and specificity of 65% (36-85%).
Indocyanine green for the detection of sentinel lymph node mapping demonstrates better accuracy when used in colonic cancer and by a laparoscopic approach. Nevertheless, its overall performance for the detection of lymph node metastasis is poor.
吲哚菁绿已被广泛用作一种安全且简便的技术,用于不同类型癌症的前哨淋巴结 mapping。然而,由于已发表研究中发现的结果存在异质性,吲哚菁绿的使用尚未得到充分实施。因此,本荟萃分析的目的是评估吲哚菁绿在接受结直肠癌手术患者中用于前哨淋巴结 mapping 和淋巴结转移的总体性能。
进行了广泛的系统检索,以识别无时间限制的英文和西班牙文相关研究。对于荟萃分析,构建了分层汇总接受者操作特征曲线(HSROCs),并使用随机效应模型进行定量数据合成。从相应的 HSROC 中获得特异性、敏感性、阳性和阴性似然比。使用 Galbraith 图直观评估研究间异质性,并使用 Deeks 方法量化发表偏倚。
共纳入 11 项研究进行分析。前哨淋巴结 mapping 的汇总检测率为 91%(80 - 98%)。显著影响汇总检测率的协变量包括患有结肠癌(估计值:1.3001;1.114 至 1.486;p < 0.001)和使用腹腔镜手术方法(估计值:1.3495;1.1029 至 1.5961;p < 0.001)。吲哚菁绿检测转移性淋巴结的性能产生的 roc 曲线下面积为 66.5%,敏感性为 64.3%(51 - 76%),特异性为 65%(36 - 85%)。
吲哚菁绿用于前哨淋巴结 mapping 在结肠癌和腹腔镜手术方法中使用时显示出更好的准确性。然而,其检测淋巴结转移的总体性能较差。