Division of Hepatobiliary and General Surgery, Department of Surgery, Humanitas Clinical and Research Center - IRCCS, Humanitas University, Rozzano, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Division of Hepatobiliary and General Surgery, Department of Surgery, Humanitas Clinical and Research Center - IRCCS, Humanitas University, Rozzano, Milan, Italy.
HPB (Oxford). 2021 Jul;23(7):1084-1094. doi: 10.1016/j.hpb.2020.11.005. Epub 2021 Jan 19.
Assessment of the future liver remnant (FLR) is routinely performed before major hepatectomy. In R1-vascular one-stage hepatectomy (R1vasc-OSH), given the multiplanar dissection paths, the FLR is not easily predictable. Preoperative 3D-virtual casts may help. We evaluated the predictability of the FLR using the 3D-virtual cast in the R1vasc-OSH for multiple bilobar colorectal liver metastases (CLM).
Thirty consecutive patients with multiple bilobar CLMs scheduled for R1vasc-OSH were included. Predicted and real-FLRs were compared. Propensity score-matched analysis was used to determine the impact of 3D-virtual cast on postoperative complications.
Median number of CLM and resection areas were 12 (4-33) and 3 (1-8). Median predicted-FLR was 899 ml (558-1157) and 60% (42-85), while for the real-FLR 915 ml (566-1777) and 63% (43-87). Median discrepancy between predicted and real-FLR was -0.6% (p = 0.504), indicating a slight tendency to underestimate the FLR. The difference was more evident in more than 12 CLMs (p = 0.013). A discrepancy was not evident according to the number of resection areas (p = 0.316). No mortality occurred. Patients in virtual-group had lower major complications compared to nonvirtual-group (0% vs 18%, p-value 0.014).
FLR estimation based on 3D-analysis is feasible, provides a safe surgery and represents a promising method in planning R1vasc-OSH for patients with multiple bilobar CLMs.
在进行大肝切除术前,通常会对未来肝脏残余物(FLR)进行评估。在 R1 血管一期肝切除术(R1vasc-OSH)中,由于存在多平面解剖路径,FLR 不易预测。术前 3D 虚拟铸型可能会有所帮助。我们评估了 3D 虚拟铸型在多肝段结直肠癌肝转移(CLM)的 R1vasc-OSH 中的 FLR 预测能力。
连续纳入 30 例拟行 R1vasc-OSH 的多肝段 CLM 患者。比较预测和实际的 FLR。采用倾向评分匹配分析来确定 3D 虚拟铸型对术后并发症的影响。
CLM 和切除区域的中位数分别为 12 个(4-33 个)和 3 个(1-8 个)。预测的 FLR 中位数为 899ml(558-1157)和 60%(42-85),而实际的 FLR 为 915ml(566-1777)和 63%(43-87)。预测和实际 FLR 之间的中位数差异为-0.6%(p=0.504),表明对 FLR 有轻微的低估趋势。在超过 12 个 CLM 时,这种差异更为明显(p=0.013)。根据切除区域的数量,差异并不明显(p=0.316)。无死亡病例发生。虚拟组患者的主要并发症发生率低于非虚拟组(0%比 18%,p 值为 0.014)。
基于 3D 分析的 FLR 估计是可行的,可提供安全的手术,是规划多肝段 CLM 的 R1vasc-OSH 的一种有前途的方法。