Literature DB >> 29492604

Computed tomography findings of small bowel gastrointestinal stromal tumors with different histologic risks of progression.

Qian Su1,2, Qian Wang1, Honglei Zhang3, Dexin Yu1, Yanlei Wang4, Zhiyan Liu5, Xiaoming Zhang6.   

Abstract

PURPOSE: The purpose of the study was to assess the dynamic contrast-enhanced computed tomography features of small bowel gastrointestinal stromal tumors with different risks of progression.
METHODS: Forty-two patients with SB GISTs underwent dynamic contrast-enhanced CT scan. All CT features of tumors with different risks were analyzed. The correlation of CT attenuation value in different enhancement phases with different risks was analyzed.
RESULTS: In 22 patients, the tumor was in the jejunum, 14 in the ileum, and six in the duodenum. The maximum diameter of the tumors ranged from 1.4 to 21.0 cm (median 8.2 cm). Histologic risk degree was defined according to pathologic findings (three cases were very low risk, 13 cases were low risk, two cases were intermediate risk, and 24 cases were high risk). For all the risk degrees, there were statistical differences in tumor size, heterogeneity, and presence of necrosis (p < 0.05). However, there were no statistical differences in tumor location, presence of calcification, or cystic degeneration (p > 0.05). The CT attenuation value of every risk degree was statistically different in venous phase and delayed phase (p < 0.05).
CONCLUSION: Features on dynamic contrast-enhanced CT can correlate with SB GISTs of different risk categories which may be helpful for preoperative diagnosis and prognosis evaluation.

Entities:  

Keywords:  Computed tomography; Pathological risk category; Small bowel gastrointestinal stromal tumors

Year:  2018        PMID: 29492604     DOI: 10.1007/s00261-018-1511-6

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  6 in total

1.  Computed-Tomography-Based Radiomics Model for Predicting the Malignant Potential of Gastrointestinal Stromal Tumors Preoperatively: A Multi-Classifier and Multicenter Study.

Authors:  Minhong Wang; Zhan Feng; Lixiang Zhou; Liang Zhang; Xiaojun Hao; Jian Zhai
Journal:  Front Oncol       Date:  2021-04-22       Impact factor: 6.244

2.  Building contrast-enhanced CT-based models for preoperatively predicting malignant potential and Ki67 expression of small intestine gastrointestinal stromal tumors (GISTs).

Authors:  Miao-Ping Zhu; Qiao-Ling Ding; Jian-Xia Xu; Chun-Yan Jiang; Jing Wang; Chao Wang; Ri-Sheng Yu
Journal:  Abdom Radiol (NY)       Date:  2021-03-25

3.  Preoperative prediction of gastrointestinal stromal tumors with high Ki-67 proliferation index based on CT features.

Authors:  Cai-Wei Yang; Xi-Jiao Liu; Lian Zhao; Feng Che; Yuan Yin; Hui-Jiao Chen; Bo Zhang; Min Wu; Bin Song
Journal:  Ann Transl Med       Date:  2021-10

4.  Gastrointestinal stromal tumors: associations between contrast-enhanced CT images and KIT exon 11 gene mutation.

Authors:  Xijiao Liu; Yuan Yin; Xiaozhou Wang; Caiwei Yang; Shang Wan; Xiaonan Yin; Tingfan Wu; Huijiao Chen; Zhongming Xu; Xin Li; Bin Song; Bo Zhang
Journal:  Ann Transl Med       Date:  2021-10

5.  Malignancy risk of gastrointestinal stromal tumors evaluated with noninvasive radiomics: A multi-center study.

Authors:  Yun Wang; Yurui Wang; Jialiang Ren; Linyi Jia; Luyao Ma; Xiaoping Yin; Fei Yang; Bu-Lang Gao
Journal:  Front Oncol       Date:  2022-08-16       Impact factor: 5.738

6.  MRI-Based Radiomics Models for Predicting Risk Classification of Gastrointestinal Stromal Tumors.

Authors:  Haijia Mao; Bingqian Zhang; Mingyue Zou; Yanan Huang; Liming Yang; Cheng Wang; PeiPei Pang; Zhenhua Zhao
Journal:  Front Oncol       Date:  2021-05-10       Impact factor: 6.244

  6 in total

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