中国医学影像技术
中國醫學影像技術
중국의학영상기술
CHINESE JOURNAL OF MEDICAL IMAGING TECHNOLOGY
2010年
3期
517-520
,共4页
胃肠道肿瘤%体层摄影术,X线计算机%半定量诊断
胃腸道腫瘤%體層攝影術,X線計算機%半定量診斷
위장도종류%체층섭영술,X선계산궤%반정량진단
Gastrointestinal neoplasms%Tomography,X-ray computed%Half quantitative diagnosis
目的 对比分析高危险程度与较低危险程度(包括极低、低、中等危险程度)胃肠道间质瘤(GISTs)的多层螺旋CT(MSCT)特征,探讨高危险程度GISTs的半定量诊断.方法 回顾分析46例GISTs患者(共51个病灶)的MSCT资料,对比分析高危险程度与较低危险程度GISTs的发生部位、大小、形状、边界、生长方式、平扫及增强扫描中的特征,并进行统计学分析,并进一步得出logistic回归方程.结果 高危险程度与较低危险程度GISTs在发生部位、大小、形状、边界、远处转移等方面差异有统计学意义.肿瘤的边界和大小与肿瘤的危险程度有明显相关性.高危险程度GISTs的半定量诊断方程为ln [P/(1-P)]=-2.612X_3+0.371X_5(X_3:肿瘤的边界;X_5:肿瘤的大小).结论 上述logistic回归方程可用以判断GISTs为高危险程度的几率,有助于诊断高危险程度GISTs.
目的 對比分析高危險程度與較低危險程度(包括極低、低、中等危險程度)胃腸道間質瘤(GISTs)的多層螺鏇CT(MSCT)特徵,探討高危險程度GISTs的半定量診斷.方法 迴顧分析46例GISTs患者(共51箇病竈)的MSCT資料,對比分析高危險程度與較低危險程度GISTs的髮生部位、大小、形狀、邊界、生長方式、平掃及增彊掃描中的特徵,併進行統計學分析,併進一步得齣logistic迴歸方程.結果 高危險程度與較低危險程度GISTs在髮生部位、大小、形狀、邊界、遠處轉移等方麵差異有統計學意義.腫瘤的邊界和大小與腫瘤的危險程度有明顯相關性.高危險程度GISTs的半定量診斷方程為ln [P/(1-P)]=-2.612X_3+0.371X_5(X_3:腫瘤的邊界;X_5:腫瘤的大小).結論 上述logistic迴歸方程可用以判斷GISTs為高危險程度的幾率,有助于診斷高危險程度GISTs.
목적 대비분석고위험정도여교저위험정도(포괄겁저、저、중등위험정도)위장도간질류(GISTs)적다층라선CT(MSCT)특정,탐토고위험정도GISTs적반정량진단.방법 회고분석46례GISTs환자(공51개병조)적MSCT자료,대비분석고위험정도여교저위험정도GISTs적발생부위、대소、형상、변계、생장방식、평소급증강소묘중적특정,병진행통계학분석,병진일보득출logistic회귀방정.결과 고위험정도여교저위험정도GISTs재발생부위、대소、형상、변계、원처전이등방면차이유통계학의의.종류적변계화대소여종류적위험정도유명현상관성.고위험정도GISTs적반정량진단방정위ln [P/(1-P)]=-2.612X_3+0.371X_5(X_3:종류적변계;X_5:종류적대소).결론 상술logistic회귀방정가용이판단GISTs위고위험정도적궤솔,유조우진단고위험정도GISTs.
Objective To study the half quantitative diagnostic method of the high-risk gastrointestinal stromal tumors (GISTs) with analyzing the characteristic of high-risk and lower risk GISTs with multi-slice spiral CT (MSCT). Methods CT findings of 46 patients with 51 GIST lesions were retrospectively analyzed. The location, size, shape, boundary, growth pattern and other specialties of the tumors in high-risk and lower risk GISTs were studied, moreover statistical analysis was conducted, logistic regression equation was obtained. Results Significant difference was found in tumors' location, size, shape, boundary and distant metastasis between the two types of GISTs. There were obvious correlation between the risk level and tumors' size and boundary which could be used to build the diagnostic equation of high-risk GISTs. Conclusion The equation ln [P/(1-P)]=-2.612X_3+0.371X_5 (X_3:tumors' boundary, X_5:tumors' size) is valuable in the diagnosis of high-risk GISTs.
