Yang Jian, Tao Hai-Su, Cai Wei, Zhu Wen, Zhao Dong, Hu Hao-Yu, Liu Jun, Fang Chi-Hua
Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Department of Surgical Oncology, Xinyang Central Hospital, Henan, China.
J Surg Oncol. 2018 Dec;118(7):1081-1087. doi: 10.1002/jso.25258. Epub 2018 Oct 7.
The aim of this study was to assess the accuracy of actual resected liver volume (ARLV) in anatomical liver resections (ALRs) guided by 3-dimensional parenchymal staining using fusion indocyanine green fluorescence imaging (IGFI).
Patients eligible for hepatic resection were enrolled in the current study from January 2016 to November 2017. All patients underwent surgery planning based on Medical Image Three-Dimensional Visualization System (MI-3DVS) before the operation, in which predicted resected liver volumes (PRLVs) were calculated. Under 3-dimensional guidance by fusion IGFI, ALRs were performed and ARLVs were measured. Simple linear regression, intra-class correlation coefficient (ICC) and Bland-Altman analysis were used to evaluate the relationship and agreement between PRLV and ARLV.
Of the 27 patients who achieved valid demarcation by fusion IGFI, 12 (44.4%) received hemihepatectomy, while 10 (37.0%) and five (18.5%) underwent sectionectomy and segmentectomy, respectively. The relationship and agreement between PRLV (481.37 ± 189.47 cm³) and ARLV (450.57 ± 205.19 cm³) were then evaluated. The simple regression equation obtained was PRLV = 0.874 × ARLV + 87.75 (R = 0.946; P = 0.000). Meanwhile, ARLV (ICC = 0.943) achieved an excellent agreement with PRLV ( P < 0.001); 25 of 27 dots were in the range of 95% confidence interval in Bland-Altman analysis.
In the study, these findings validated the consistency between PRLV calculated by MI-3DVS and ARLV guided by fusion IGFI, which proved that IGFI can accurately guide anatomical hepatectomy. Generally, fusion IGFI can provide a valid, feasible and accurate demarcation line, which can confer precision to hepatic resection.
本研究旨在评估在使用融合吲哚菁绿荧光成像(IGFI)的三维实质染色引导下进行解剖性肝切除术(ALR)时实际切除肝体积(ARLV)的准确性。
2016年1月至2017年11月期间,符合肝切除条件的患者纳入本研究。所有患者在手术前均基于医学图像三维可视化系统(MI-3DVS)进行手术规划,计算预计切除肝体积(PRLV)。在融合IGFI的三维引导下进行ALR,并测量ARLV。采用简单线性回归、组内相关系数(ICC)和Bland-Altman分析来评估PRLV与ARLV之间的关系和一致性。
在27例通过融合IGFI实现有效分界的患者中,12例(44.4%)接受了半肝切除术,10例(37.0%)和5例(18.5%)分别接受了肝段切除术和肝亚段切除术。随后评估PRLV(481.37±189.47cm³)与ARLV(450.57±205.19cm³)之间的关系和一致性。得到的简单回归方程为PRLV = 0.874×ARLV + 87.75(R = 0.946;P = 0.000)。同时,ARLV(ICC = 0.943)与PRLV具有极好的一致性(P < 0.001);在Bland-Altman分析中,27个点中的25个在95%置信区间范围内。
在本研究中,这些发现验证了MI-3DVS计算的PRLV与融合IGFI引导的ARLV之间的一致性,证明IGFI能够准确引导解剖性肝切除术。一般来说,融合IGFI能够提供一条有效、可行且准确的分界线,可为肝切除术带来精准性。