Fukuda Yasunari, Yamada Daisaku, Eguchi Hidetoshi, Iwagami Yoshifumi, Noda Takehiro, Asaoka Tadafumi, Wada Hiroshi, Kawamoto Koichi, Gotoh Kunihito, Mori Masaki, Doki Yuichiro
Department of Gastroenterological Surgery, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka E-2, Suita, Osaka, 565-0871, Japan.
Surg Today. 2017 Oct;47(10):1180-1187. doi: 10.1007/s00595-017-1495-9. Epub 2017 Mar 6.
A thick pancreas has proven to be a conspicuous predictor of pancreatic fistula (PF) following distal pancreatectomy (DP) using staples. Other predictors for this serious surgical complication currently remain obscure. This study sought to identify novel predictors of PF following DP.
One hundred and twenty-two patients were retrospectively assessed to determine the correlation between PF occurrence and the clinicopathological findings and radiologic data from preoperative computed tomography (CT). CT assessments included the thickness of the pancreas (TP) and pancreatic CT number (pancreatic index; PI), calculated by dividing the pancreatic CT by the splenic CT density.
Twenty-four patients (19.7%) developed a clinically relevant PF. TP was identified as an independent risk factor for PF in multivariate analyses (odds ratio 1.17; P = 0.0095). In subgroup analyses, a lower PI in a thick pancreas was a significant predictor of PF (P = 0.032). The combination of these two prediction parameters, known as the TP-to-PI ratio (TPIR), showed a significantly better prediction ability than TP alone (area under the receiver operating characteristic curve for the incidence of PF, TPIR 0.80 vs. TP 0.69; P = 0.037).
Combining the CT number with TP substantially improves the prediction ability for the incidence of PF following DP with staple use.
事实证明,胰腺增厚是使用吻合器进行胰体尾切除术(DP)后胰瘘(PF)的一个显著预测指标。目前,这种严重手术并发症的其他预测指标仍不明确。本研究旨在确定DP术后PF的新预测指标。
回顾性评估122例患者,以确定PF发生与临床病理结果以及术前计算机断层扫描(CT)的放射学数据之间的相关性。CT评估包括胰腺厚度(TP)和胰腺CT值(胰腺指数;PI),PI通过胰腺CT除以脾脏CT密度计算得出。
24例患者(19.7%)发生了具有临床意义的PF。在多变量分析中,TP被确定为PF的独立危险因素(比值比1.17;P = 0.0095)。在亚组分析中,厚胰腺中较低的PI是PF的显著预测指标(P = 0.032)。这两个预测参数的组合,即TP与PI之比(TPIR),显示出比单独使用TP显著更好的预测能力(PF发生率的受试者操作特征曲线下面积,TPIR为0.80,TP为0.69;P = 0.037)。
将CT值与TP相结合可显著提高使用吻合器的DP术后PF发生率的预测能力。