[Correlation of CT imaging features and CT texture analysis parameters with pathologic risk stratification in gastric stromal tumors]

Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2019 Mar 28;44(3):264-270. doi: 10.11817/j.issn.1672-7347.2019.03.006.
[Article in Chinese]

Abstract

To analyze the correlation of the CT imaging features and CT texture analysis (CTTA) parameters with risk stratifications of the gastric stromal tumors (GSTs). Methods: CT (plain scans with portal phase contrast enhanced scans) images from 98 GSTs patients before surgery were collected. CT features of the tumors were retrospectively analyzed and pathological risk stratifications were determined. Feature parameters of CTTA at plain and portal phase were obtained by using a MaZda software. The correlations of CT imaging features and CTTA parameters with the risk stratifications were analyzed. Results: CT imaging features including tumor size, growth pattern, shape, margin, the relationship between mass and adjacent organs, enhancement pattern, necrosis or cystic change, and the abnormal tumor vessels were associated with the risk stratifications (P<0.05). For CTTA, entropy was associated with the risk stratifications (P<0.05). Conclusion: Certain CT imaging features and CTTA parameters are associated with risk classifications in GSTs.

目的:探讨胃间质瘤影像学特征及CT纹理分析(CT texture analysis,CTTA)参数与肿瘤危险度分级的相关性。方法:回顾性分析经病理确诊的98例胃间质瘤患者术前CT影像学资料,并采用MaZda软件获得肿瘤的平扫和门静脉期图像的CTTA参数。分析CT影像特征及CTTA参数与病理危险度分级的相关性。结果:肿瘤大小、生长方式、形态、边缘、肿瘤与周围脏器关系、强化均质性、有无瘤内坏死或囊变、肿瘤局部异常血管与肿瘤危险度分级有较好相关性(P<0.05);将单因素分析存在统计学意义的影像学特征进行有序多分类logistic回归分析,所有特征间差异无统计学意义(P>0.05)。MaZda软件的纹理参数分析显示:提取的30个最优CT纹理参数中entropy与危险度分级之间存在相关性(P<0.05)。结论:CT影像特征及图像纹理参数有助于对胃间质瘤危险度分级的判断。.

MeSH terms

  • Gastrointestinal Stromal Tumors* / diagnostic imaging
  • Humans
  • Retrospective Studies
  • Stomach Neoplasms* / diagnostic imaging
  • Tomography, X-Ray Computed*