多层螺旋CT对胃肠道间质瘤的诊断价值及危险因素分析OA
Diagnostic value and risk factors of multislice spiral computed tomography in gastrointestinal stromal tumor
目的 探讨多层螺旋CT(multislice spiral computed tomography,MSCT)对胃肠道间质瘤(gastrointestinal stromal tumor,GIST)的诊断价值及其危险度的影响因素.方法 选取 2021 年 6 月至 2022 年 11 月湖州市中心医院收治的 118例疑似GIST患者,均进行MSCT检查和病理学检查,以病理诊断为金标准,分析MSCT检查诊断GIST的效能.多因素分析探讨GIST患者危险度的影响因素.结果 118 例疑似患者经病理诊断确诊GIST 103 例,MSCT诊断GIST的敏感度、特异性及准确度分别为 97.09%、86.67%及 95.76%.高危组和低危组患者的肿瘤最大直径、肿瘤形状、肿瘤边界、肿瘤密度、囊变坏死情况、脂肪间隙比较差异均有统计学意义(P<0.05);多因素分析结果显示肿瘤最大直径、肿瘤形状、肿瘤密度和脂肪间隙均是GIST危险度的影响因素(P<0.05).结论 MSCT诊断GIST的准确度较高,肿瘤最大直径、肿瘤形状、肿瘤密度和脂肪间隙均是GIST危险度的影响因素.
Objective To investigate the diagnostic value and risk of gastrointestinal stromal tumors(GIST)by multislice spiral computed tomography(MSCT).Methods A total of 118 suspected GIST patients admitted to Huzhou Central Hospital from June 2021 to November 2022 were selected for MSCT examination and pathological examination.Taking pathological diagnosis as the gold standard,the efficacy of MSCT in diagnosing GIST was analyzed.Multifactor analysis was used to investigate the factors affecting the risk of GIST.Results Pathological diagnosis of GIST was confirmed in 103 of 118 suspected patients.The sensitivity,specificity and accuracy of MSCT diagnosis of GIST were 97.09%,86.67%and 95.76%,respectively.There were significant differences in maximum tumor diameter,tumor shape,tumor boundary,tumor density,cystic necrosis and fat space between high-risk group and low-risk group(P<0.05).The results of multifactor analysis showed that maximum tumor diameter,tumor shape,tumor density and fat space were all factors affecting the risk of GIST(P<0.05).Conclusion MSCT has a high accuracy in the diagnosis of GIST.The maximum tumor diameter,tumor shape,tumor density and fat space are all factors affecting the risk of GIST.
刘东;储海瑞
浙江中医药大学研究生院,浙江杭州 310053||湖州市中心医院放射科,浙江湖州 313000湖州市中心医院放射科,浙江湖州 313000
临床医学
多层螺旋CT胃肠道间质瘤危险度诊断价值
Multislice spiral computed tomographyGastrointestinal stromal tumorsRiskDiagnostic value
《中国现代医生》 2024 (010)
6-9 / 4
浙江省医药卫生科技计划项目(2020KY303)
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