AIM: To assess the diagnostic accuracy of computed tomographic venography(CTV) for splanchnic vein thrombosis(SVT) detection in necrotizing acute pancreatitis(AP) patients.METHODS:Forty-three patients with necrotizing...AIM: To assess the diagnostic accuracy of computed tomographic venography(CTV) for splanchnic vein thrombosis(SVT) detection in necrotizing acute pancreatitis(AP) patients.METHODS:Forty-three patients with necrotizing AP who underwent both CTV and digital subtraction angiography(DSA)within 3 d were analyzed in this retrospective comparative study.All CTV procedures were performed with a dual-source CT scanner.The presence and location of SVT were determined via blinded imaging data analyses.RESULTS:According to the DSA results,17(39.5%)of the total 43 patients had SVT.The sensitivity,specificity,positive and negative predictive values of CTV for SVT detection were 100%(95%CI:77.1%-100%),92.3%(95%CI:73.4%-98.7%),89.5%(95%CI:65.5%-98.2%)and 100%(95%CI:82.8%-100%),respectively.CONCLUSION:CTV is an effective examination for SVT detection in patients with necrotizing AP with high positive and negative predictive values.展开更多
文摘AIM: To assess the diagnostic accuracy of computed tomographic venography(CTV) for splanchnic vein thrombosis(SVT) detection in necrotizing acute pancreatitis(AP) patients.METHODS:Forty-three patients with necrotizing AP who underwent both CTV and digital subtraction angiography(DSA)within 3 d were analyzed in this retrospective comparative study.All CTV procedures were performed with a dual-source CT scanner.The presence and location of SVT were determined via blinded imaging data analyses.RESULTS:According to the DSA results,17(39.5%)of the total 43 patients had SVT.The sensitivity,specificity,positive and negative predictive values of CTV for SVT detection were 100%(95%CI:77.1%-100%),92.3%(95%CI:73.4%-98.7%),89.5%(95%CI:65.5%-98.2%)and 100%(95%CI:82.8%-100%),respectively.CONCLUSION:CTV is an effective examination for SVT detection in patients with necrotizing AP with high positive and negative predictive values.
