Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China.
Department of Hepatobiliary Surgery, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, Zhejiang Province, China.
Surg Endosc. 2022 Jun;36(6):3732-3749. doi: 10.1007/s00464-021-08687-5. Epub 2021 Aug 18.
Several difficulty scoring systems (DSSs) have been proposed for evaluating difficulty of laparoscopic liver resection (LLR) and no study has validated their performance in a hepatocellular carcinoma (HCC)-only cohort at the same time.
All cases with HCC that underwent LLR from January 2015 to December 2020 in our center were retrospectively collected. Performance of the IWATE-DSS, Halls-DSS, Hasegawa-DSS, and Kawaguchi-DSS in predicting perioperative outcomes was evaluated. Subgroup analyses were conducted to compare perioperative outcomes between surgeons on the learning curve and surgeons that have gone through the learning curve.
For all four DSSs, there were significant distributions of applying bleeding control, surgical time, estimated blood loss, postoperative major complications, and postoperative hospital stay among different groups of each DSS (P all < 0.05). Conversion to laparotomy or not was significantly distributed in different groups of the IWATE-DSS (P = 0.006) and Halls-DSS (P = 0.022), while it was not in the Hasegawa-DSS (P = 0.056) and Kawaguchi-DSS (P = 0.183). Trend tests showed that the conversion rates increased with higher DSS points in the IWATE-DSS (P < 0.001) and the Kawaguchi-DSS (P = 0.021), while not in the Halls-DSS (P = 0.064) and the Hasegawa-DSS (P = 0.068). In the medium and advanced/expert difficulty-level subgroups defined by the IWATE-DSS, there were larger estimated blood loss (P in medium-difficulty group = 0.009; P in the advanced/expert difficulty group = 0.004) and longer postoperative hospital stay (P in the medium-difficulty group = 0.012; P in the advanced/expert group = 0.035) in the learner-performed cases.
All DSSs performed well in predicting applying bleeding control, surgical time, estimated blood loss, postoperative major complications, and postoperative hospital stay, while only the IWATE-DSS was able to predict whether conversion to laparotomy or not for HCC patients underwent LLR. The IWATE-DSS was also able to help surgeons on the LLR learning curve choose cases and guide clinical practices.
已有多种困难评分系统(DSS)被提出用于评估腹腔镜肝切除术(LLR)的难度,但尚无研究同时验证它们在肝细胞癌(HCC)患者中的表现。
回顾性收集 2015 年 1 月至 2020 年 12 月在我院行 LLR 的所有 HCC 患者病例。评估 IWATE-DSS、Halls-DSS、Hasegawa-DSS 和 Kawaguchi-DSS 在预测围手术期结局方面的性能。进行亚组分析以比较学习曲线内外科医生之间的围手术期结局。
对于所有四个 DSS,在不同 DSS 组之间,术中出血控制、手术时间、估计出血量、术后主要并发症和术后住院时间的分布均有显著差异(P 均<0.05)。IWATE-DSS(P=0.006)和 Halls-DSS(P=0.022)中,不同 DSS 组之间是否中转开腹的分布差异显著,而 Hasegawa-DSS(P=0.056)和 Kawaguchi-DSS(P=0.183)中转开腹的分布差异无统计学意义。趋势检验显示,在 IWATE-DSS(P<0.001)和 Kawaguchi-DSS(P=0.021)中,随着 DSS 评分的增加,中转开腹率增加,而在 Halls-DSS(P=0.064)和 Hasegawa-DSS(P=0.068)中则没有。在 IWATE-DSS 定义的中、高级/专家难度级别亚组中,学习者进行的手术中估计出血量更大(中难度组:P=0.009;高级/专家难度组:P=0.004),术后住院时间更长(中难度组:P=0.012;高级/专家难度组:P=0.035)。
所有 DSS 均能很好地预测术中出血控制、手术时间、估计出血量、术后主要并发症和术后住院时间,而只有 IWATE-DSS 能够预测 HCC 患者行 LLR 是否需要中转开腹。IWATE-DSS 还能够帮助 LLR 学习曲线中的外科医生选择病例并指导临床实践。