Application of ultrasonography in predicting the biological risk of gastrointestinal stromal tumors
| Autor: | Liwu Lin, Ensheng Xue, Jingjing Guo, Xiubin Tang, Qingfu Qian, Zhikui Chen, Min-Ling Zhuo |
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| Rok vydání: | 2021 |
| Předmět: |
Univariate analysis
medicine.medical_specialty Gastrointestinal Stromal Tumors business.industry Homogeneity (statistics) Echo (computing) Ultrasound Gastroenterology Regression analysis Blood flow Logistic regression Regression Endosonography Logistic Models Humans Medicine Radiology business Retrospective Studies Ultrasonography |
| Zdroj: | Scandinavian Journal of Gastroenterology. 57:352-358 |
| ISSN: | 1502-7708 0036-5521 |
| DOI: | 10.1080/00365521.2021.2002396 |
| Popis: | OBJECTIVES To explore and establish a reliable and noninvasive ultrasound model for predicting the biological risk of gastrointestinal stromal tumors (GISTs). MATERIALS AND METHODS We retrospectively reviewed 266 patients with pathologically-confirmed GISTs and 191 patients were included. Data on patient sex, age, tumor location, biological risk classification, internal echo, echo homogeneity, boundary, shape, blood flow signals, presence of necrotic cystic degeneration, long diameter, and short/long (S/L) diameter ratio were collected. All patients were divided into low-, moderate-, and high-risk groups according to the modified NIH classification criteria. All indicators were analyzed by univariate analysis. The indicators with inter-group differences were used to establish regression and decision tree models to predict the biological risk of GISTs. RESULTS There were statistically significant differences in long diameter, S/L ratio, internal echo level, echo homogeneity, boundary, shape, necrotic cystic degeneration, and blood flow signals among the low-, moderate-, and high-risk groups (all p |
| Databáze: | OpenAIRE |
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