CAJ | 학술논문

目的评价肝脏分析软件(liver analysis application)在肝脏分段及术前评估方面的临床应用价值.方法对30例怀疑肝脏疾病的患者进行腹部肝脏增强CT检查.患者分为肝内占位性病变组(实验组B)和无肝内占位组(对照组A),每组各15例.利用肝脏分析软件对所有患者的门脉期原始数据进行重建分析.测量肝脏及肝内病变体积,并根据血管走行及分布对肝脏进行自动分段.使用SPSS 15.0软件、t检验、x2检验和非参数Mann-Whitney U法分析检测数据.结果软件后处理过程两组差异无统计学意义(P=0.361)；实验组肝脏体积为(1374.61±444.05)cm3,对照组肝脏体积为(1225.70±272.07)cm3(P=0.108).血管识别准确率实验组Ⅰ级为7例(46.7％),Ⅱ级为5例(33.3％),Ⅲ级为3例(20％)；对照组Ⅰ级为7例(46.7％),Ⅱ级为6例(40％),Ⅲ级为2例(13.3％)(P=0.87),两组血管识别率差异无统计学意义.两组共有21段血管识别错误,其中18段为肝静脉,占85.71％(18/21).结论 64排螺旋CT肝脏分析软件可以直观显示肝脏病变、血管及肝段解剖,并进行定量分析,对肝脏病变术前评估、手术方案制定有很大意义.
목적 평개간장분석연건(liver analysis application)재간장분단급술전평고방면적림상응용개치.방법 대30례부의간장질병적환자진행복부간장증강CT검사.환자분위간내점위성병변조(실험조B)화무간내점위조(대조조A),매조각15례.이용간장분석연건대소유환자적문맥기원시수거진행중건분석.측량간장급간내병변체적,병근거혈관주행급분포대간장진행자동분단.사용SPSS 15.0연건、t검험、x2검험화비삼수Mann-Whitney U법분석검측수거.결과 연건후처리과정량조차이무통계학의의(P=0.361)；실험조간장체적위(1374.61±444.05)cm3,대조조간장체적위(1225.70±272.07)cm3(P=0.108).혈관식별준학솔실험조Ⅰ급위7례(46.7％),Ⅱ급위5례(33.3％),Ⅲ급위3례(20％)；대조조Ⅰ급위7례(46.7％),Ⅱ급위6례(40％),Ⅲ급위2례(13.3％)(P=0.87),량조혈관식별솔차이무통계학의의.량조공유21단혈관식별착오,기중18단위간정맥,점85.71％(18/21).결론 64배라선CT간장분석연건가이직관현시간장병변、혈관급간단해부,병진행정량분석,대간장병변술전평고、수술방안제정유흔대의의.
Objective To determine the value of liver analysis application in liver segmentation and planning of surgery.Methods Thirty patients suspected having hepatic disease were recruited in this study.Contrast-enhanced CT examinations were performed with Philips Brilliance 64-slice CT,and multi-phase images were obtained.The patients were divided into group B(with focal hepatic lesion,15 patients),and group A(without hepatic lesion,15 patients).We use the portal-venous(60-70 s)images to analysis.Liver volume and vessel recognition were edited manually if necessary,then liver segmentation proceeded automatically.All data were analyzed by the t test,chi-square test,Mann-Whitney U analysis,with SPSS 15.0 software.Results There was no significant difference of post-processing procedure between the two groups(P =0.361).The liver volume was(1374.61 ±444.05)cm3 in the group B and(1225.70±272.07)cm3 in the group A(P=0.108).The accuracy of vessel recognition was no significant difference between the two groups(P=0.87).21 vessels were recognized incorrectly include 18 hepatic veins.Conclusion The liver analysis application provides a 3D reconstruction allow vivid observation of liver segmentation and accurate estimation of the liver volume.It has broad prospect in diagnosing and surgical planning of the liver disease.