CT features of gastrointestinal stromal tumors and prediction of malignant risk from CT features

WANG Guang-xian; et al

doi:10.13406/j.cnki.cyxb.2010.01.044

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CT features of gastrointestinal stromal tumors and prediction of malignant risk from CT features

更新时间：2024-01-17

- CT features of gastrointestinal stromal tumors and prediction of malignant risk from CT features
- Journal of Chongqing Medical University Vol. 35, Issue 1, Pages: 84-87(2010)
- 作者机构：
  
  重庆医科大学附属第二医院放射科
- 作者简介：
- 基金信息：
- DOI：10.13406/j.cnki.cyxb.2010.01.044
  CLC： R735
- Published：2010，
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[1]王光宪,赵建农,钟维佳.胃肠道间质瘤的CT表现和恶性风险预测[J].重庆医科大学学报,2010,35(01):84-87.

WANG Guang-xian, et al. CT features of gastrointestinal stromal tumors and prediction of malignant risk from CT features. [J]. Journal of Chongqing Medical University 35(1):84-87(2010)
[1]王光宪,赵建农,钟维佳.胃肠道间质瘤的CT表现和恶性风险预测[J].重庆医科大学学报,2010,35(01):84-87. DOI： 10.13406/j.cnki.cyxb.2010.01.044.

WANG Guang-xian, et al. CT features of gastrointestinal stromal tumors and prediction of malignant risk from CT features. [J]. Journal of Chongqing Medical University 35(1):84-87(2010) DOI： 10.13406/j.cnki.cyxb.2010.01.044.

摘要

目的:探讨胃肠道间质瘤（Gastrointe stinalstromal tumors

GISTS）的CT表现和肿瘤的恶性风险是否存在相关性。方法:回顾性分析我院经手术或活检病理和免疫组织化学证实的35例GISTS的CT资料。所有CT资料由两位有经验的放射科医师单独阅片

并最终达成一致意见。CT评价包括肿瘤的解剖部位

大小

轮廓

边界

生长方式

液化坏死

强化方式

强化程度

钙化

腹腔内的淋巴结

腹水

肠梗阻

以及邻近器官的侵犯和远处转移。结果:采用单变量分析

肿瘤的大小

轮廓

生长方式

液化坏死

强化方式及强化程度具有统计学意义（P<0.05）;采用多变量逐步Logistic回归分析

只有肿瘤的大小具有恶性风险预测的统计学意义（P=0.033<0.05）。结论:GISTS的CT表现具有一定的特异性

只有肿瘤的大小具有预测恶性风险价值。

Abstract

Objective:To analyze the CT features of gastrointestinal stromaltumors(GISTS)and prediction of malignant risk from CT features.Methods:The medical records of35 patients with pathologicaly and immunohistochemically proven GISTS by surgery or biopsy at our institution were reviewed.Two radiologists retrospectively reviewed the CT findings

and the final interpretations were reached by consensus.Images were assessed for tumors’anatomic site

size

contour

border

growth pattern

necrosis

enhancement pattern

degree of enhancement

calcification

abdominal lymph nodes

ascite

bowl obstruction

direct invasion and metastasis.Results:With the use of univariate analysis

tumors’size

contour

growth pattern

necrosis

enhancement pattern and degree of enhancement

showed statistical significance(P<0.05).With the use of multivariate stepwise logistic regression analysis only tumors’size had statistical significance and(P=0.033<0.05).Conclusion:CT features of gastrointestinal stromal tumors have specificity

only tumors’size had predictive value with respect to tumors’ malignant risk.

关键词

胃肠道间质瘤CT胃肠道风险预测

Keywords

Gastrointestinal stromaltumorsCTGastrointes tinaltractRisk prediction

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