Literature DB >> 30600381

Comparison of characteristic computed tomographic findings of gastrointestinal and non-gastrointestinal stromal tumors in the small intestine.

Akitoshi Inoue1, Shinichi Ota2, Shigetaka Sato2, Norihisa Nitta2, Tomoharu Shimizu3, Hiromichi Sonoda3, Masaji Tani3, Hiromitsu Ban4, Osamu Inatomi4, Akira Ando4, Ryoji Kushima5, Kiyoshi Murata2.   

Abstract

PURPOSE: We aimed to reveal specific findings of gastrointestinal stromal tumors (GISTs) in the small intestine on contrast-enhanced computed tomography (CT) by comparing GISTs with non-GISTs.
METHODS: We enrolled 28 patients with 39 GISTs and 20 patients with 22 non-GISTs who underwent enterectomy with a preoperative diagnosis of small intestinal tumor. All lesions were diagnosed by histopathological examination. Two radiologists independently evaluated internal homogeneity, growth pattern, calcification, intratumoral hemorrhage, degeneration, ulceration, and lymphadenopathy and measured the maximum diameter of the tumor and contrast-enhanced CT (CECT) value of the solid portion as well as the diameter and CT value of the feeding artery and drainage vein on CECT in the arterial and venous phases.
RESULTS: Intratumoral hemorrhage was seen in 15.4% and 25.6% of GISTs and in 0% and 0% of non-GISTs (p = 0.079 and 0.010), with good interobserver agreement (κ = 0.715). The drainage vein diameter correlated well with the maximum diameter of the tumor (r = 0.744, p < 0.001). The CT value of the solid tumor part in the arterial and venous phases (p < 0.01) and the CT value of the drainage vein in the arterial phase (p < 0.05) were higher for GISTs than for non-GISTs (p < 0.01).
CONCLUSIONS: Strong parenchymal enhancement with the peak in the arterial phase and the CT value of the drainage vein in the arterial phase was characteristics findings of GIST compared with non-GISTs. The diameter of the drainage vein was proportional to the maximum diameter of GISTs.

Entities:  

Keywords:  Computed tomography; Drainage vein; Gastrointestinal stromal tumor; Small intestine

Mesh:

Substances:

Year:  2019        PMID: 30600381     DOI: 10.1007/s00261-018-1865-9

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  3 in total

1.  Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal Tumors.

Authors:  Bing Kang; Xianshun Yuan; Hexiang Wang; Songnan Qin; Xuelin Song; Xinxin Yu; Shuai Zhang; Cong Sun; Qing Zhou; Ying Wei; Feng Shi; Shifeng Yang; Ximing Wang
Journal:  Front Oncol       Date:  2021-09-17       Impact factor: 6.244

2.  Utility of noncontrast MRI in the detection and risk grading of gastrointestinal stromal tumor: a comparison with contrast-enhanced CT.

Authors:  Ziling Zhou; Jingyu Lu; John N Morelli; Daoyu Hu; Zhen Li; Peng Xiao; Xuemei Hu; Yaqi Shen
Journal:  Quant Imaging Med Surg       Date:  2021-06

Review 3.  New advances in radiomics of gastrointestinal stromal tumors.

Authors:  Roberto Cannella; Ludovico La Grutta; Massimo Midiri; Tommaso Vincenzo Bartolotta
Journal:  World J Gastroenterol       Date:  2020-08-28       Impact factor: 5.742

  3 in total

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