BACKGROUND: 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). METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
BACKGROUND: 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). METHODS: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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Medical Association Of Chinese Medical Association Digital; Intelligent Surgery Professional Committee Of Chinese Research Hospital Digital; Cancer Professional Committee Of Chinese Medical Doctor Association Liver; Precise Medicine Professional Committee Clinical; Imaging And Equipment Professional Committee Of China Graphics Society Medical; Imaging Professional Committee Of China Biophysical Society Molecular Journal: Nan Fang Yi Ke Da Xue Xue Bao Date: 2019-10-30