术前 CT 扫描有助于预测胰十二指肠切除术后严重胰瘘的发生。
Preoperative CT scan helps to predict the occurrence of severe pancreatic fistula after pancreaticoduodenectomy.
机构信息
Department of Hepato-Pancreato-Biliary Surgery--Pôle des Maladies de l'Appareil Digestif (PMAD), AP-HP, Beaujon Hospital, Clichy, France.
出版信息
Ann Surg. 2012 Jul;256(1):139-45. doi: 10.1097/SLA.0b013e318256c32c.
OBJECTIVE
To assess the influence of body fat distribution, estimated by a preoperative computed tomographic (CT) scan, on pancreatic fistula (PF) risk after pancreaticoduodenectomy (PD).
BACKGROUND
Pancreatic fatty infiltration is a predictive factor of PF, but accurate preoperative assessment is challenging. We hypothesized that it could be associated with an increased visceral obesity and could be assessed preoperatively.
METHODS
Over 18 months, 103 consecutive patients with PD and pancreaticogastrostomy were studied. Demographic, radiologic, and pathologic data were correlated to PF occurrence. Radiologic data included on a nonenhanced CT acquisition: pancreas, spleen, and liver density measures (Dpancreas, Dspleen, and Dliver [densities of the pancreas, spleen, and liver in hounsfield units], respectively), retro-renal fat thickness, and at the level of the umbilicus, total, visceral, and subcutaneous fat area (TFA [total fat area], VFA [visceral fat area], and SFA [subcutaneous fat area], respectively). Pancreatic fatty infiltration was graded histologically. Logistic regression analysis was used to identify independent predictors of PF-graded B and C according to the International Study Group on the Pancreatic Fistula.
RESULTS
Among the 103 patients, 37% (n = 38) developed a PF (47.4% grade A, 39.5% grade B, and 13.1% grade C). PF risk was correlated with pancreatic fatty infiltration (P = 0.017). In univariate analysis, male gender (P = 0.023), body mass index (BMI) over 25 kg/m (P = 0.02), retro-renal fat thickness over 15 mm (P = 0.006), TFA over the median (>233 cm; P = 0.023), and VFA over the median (>84 cm; P < 0.0001) were significantly associated with an increased risk of symptomatic PF (grade B and C). In multivariate analysis, VFA greater than 84 cm (OR = 8.16, P = 0.002) was the only independent predictive factor of grade B or C PF. Using the same model, a VFA greater than 84 cm was the only independent factor associated with the presence of fatty pancreas on pathologic examination.
CONCLUSIONS
Preoperative assessment of body fat distribution by a CT scan, as a surrogate for fatty pancreas infiltration, can help to predict the occurrence of clinically significant PF after PD.
目的
评估术前计算机断层扫描(CT)估计的体脂分布对胰十二指肠切除术(PD)后胰瘘(PF)风险的影响。
背景
胰腺脂肪浸润是 PF 的预测因素,但准确的术前评估具有挑战性。我们假设它可能与内脏肥胖增加有关,并可以在术前进行评估。
方法
在 18 个月内,研究了 103 例接受 PD 和胰胃吻合术的连续患者。将人口统计学、影像学和病理学数据与 PF 发生相关联。影像学数据包括非增强 CT 采集的胰腺、脾脏和肝脏密度测量值(Dpancreas、Dspleen 和 Dliver[胰腺、脾脏和肝脏的密度单位])、肾后脂肪厚度以及脐水平的总、内脏和皮下脂肪面积(TFA[总脂肪面积]、VFA[内脏脂肪面积]和 SFA[皮下脂肪面积])。胰腺脂肪浸润通过组织学分级。使用逻辑回归分析确定根据国际胰腺瘘研究小组的 PF 分级 B 和 C 的独立预测因子。
结果
在 103 例患者中,37%(n=38)发生 PF(47.4%为 A 级,39.5%为 B 级,13.1%为 C 级)。PF 风险与胰腺脂肪浸润相关(P=0.017)。在单因素分析中,男性(P=0.023)、体重指数(BMI)超过 25kg/m(P=0.02)、肾后脂肪厚度超过 15mm(P=0.006)、TFA 超过中位数(>233cm;P=0.023)和 VFA 超过中位数(>84cm;P<0.0001)与症状性 PF(B 级和 C 级)的风险增加显著相关。在多因素分析中,VFA 大于 84cm(OR=8.16,P=0.002)是 B 级或 C 级 PF 的唯一独立预测因子。使用相同模型,VFA 大于 84cm 是与病理检查中存在脂肪胰腺相关的唯一独立因素。
结论
术前 CT 扫描评估体脂分布,作为胰腺脂肪浸润的替代指标,有助于预测 PD 后临床显著 PF 的发生。