Literature DB >> 30853303

Simple Analysis of the Computed Tomography Features of Gastric Schwannoma.

Jian Wang1, Wenming Zhang2, Xiaoxuan Zhou2, Junliang Xu3, Hong-Jie Hu4.   

Abstract

OBJECTIVE: The objective of this study was to assess the computed tomography (CT) findings of gastric schwannoma (GS) and identify the difference between large (> 5 cm) and small (≤ 5 cm) GS.
MATERIALS AND METHODS: CT findings of 38 pathologically proven cases of GSs were retrospectively reviewed. The CT evaluation of GS included categorical variables (location, contour, growth pattern, enhancement pattern, necrosis, ulceration, calcification, and lymph nodes) and continuous variables (size, CT value of 3 phases, and enhancement degree). The lesion was divided into 2 groups (large [> 5 cm] and small [≤ 5 cm] GS) according to the tumor size. The Fisher exact test was used for categorical variables and the Student t or Mann-Whitney U test for continuous variables.
RESULTS: Of the 38 patients, there were 32 women and 6 men. The median age was 54.5 years (range 39-79). Most of patients (65.8%, [25 of 38]) had nonspecific gastrointestinal symptoms such as abdominal or gastric pain, fullness and discomfort, bleeding, and melena. The tumors were mainly located in the stomach body (71.1% [27 of 38]), and the mean diameter was 3.7 cm (range 1.5 cm-10.3 cm), of which included large (> 5 cm) (n = 8) and small (≤ 5 cm) (n = 30). All of the GSs were benign, 9 of whom had palpable perigastric lymph nodes, which confirmed by pathology for the reactive inflammatory hyperplasia. Growth pattern, pattern of enhancement, necrosis, calcification, surface ulceration, and lymph node in the CT images were found to be significant variables for differentiating large (> 5 cm) and small (≤ 5 cm) GS (P < .05).
CONCLUSION: GSs were predominantly located at the gastric body and occurred most frequently in women between the ages of 40-70 years, and showed gradual enhancement after contrast enhancement. Palpable perigastric lymph nodes could not be considered as malignant factor of GS. There 7 computed CT criteria are significant difference between large (> 5 cm) and small (≤ 5 cm) GS.
Copyright © 2019 Canadian Association of Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Gastric neoplasm; Schwannoma; X-ray computed tomography

Mesh:

Year:  2019        PMID: 30853303     DOI: 10.1016/j.carj.2018.09.002

Source DB:  PubMed          Journal:  Can Assoc Radiol J        ISSN: 0846-5371            Impact factor:   2.248


  6 in total

1.  A radiologic diagnostic scoring model based on CT features for differentiating gastric schwannoma from gastric gastrointestinal stromal tumors.

Authors:  Jian-Xia Xu; Jie-Ni Yu; Xiao-Jie Wang; Yan-Xi Xiong; Yuan-Fei Lu; Jia-Ping Zhou; Qiao-Mei Zhou; Xiao-Yan Yang; Dan Shi; Xiao-Shan Huang; Shu-Feng Fan; Ri-Sheng Yu
Journal:  Am J Cancer Res       Date:  2022-01-15       Impact factor: 6.166

2.  What About Gastric Schwannoma? A Review Article.

Authors:  Sara Lauricella; Sergio Valeri; Gianluca Mascianà; Ida Francesca Gallo; Erica Mazzotta; Chiara Pagnoni; Saponaro Costanza; Lorenza Falcone; Domenico Benvenuto; Marco Caricato; Gabriella Teresa Capolupo
Journal:  J Gastrointest Cancer       Date:  2021-03

3.  Laparoscopic resection of gastric schwannoma: A case report.

Authors:  Fernando Cordera; Andrea Salazar-Vitale; Estephany Mejía-Sánchez; Rodrigo Arrangoiz; David Caba-Molina; Manuel Muñoz-Juárez; Enrique Luque-de-León; Eduardo Moreno-Paquentín
Journal:  Int J Surg Case Rep       Date:  2019-10-25

4.  Clinical Characteristics and Surgical Management of Gastrointestinal Schwannomas.

Authors:  Xin Wu; Binglu Li; Chaoji Zheng; Xiaodong He
Journal:  Biomed Res Int       Date:  2020-06-22       Impact factor: 3.411

5.  Gastric calcifying fibrous tumors: Computed tomography findings and clinical manifestations.

Authors:  Jian Wang; Weiqun Ao; Guoqun Mao; Yuzhu Jia; Zhongyu Xie; Congyou Gu; Guangzhao Yang
Journal:  Medicine (Baltimore)       Date:  2021-02-05       Impact factor: 1.817

6.  Building Radiomics Models Based on Triple-Phase CT Images Combining Clinical Features for Discriminating the Risk Rating in Gastrointestinal Stromal Tumors.

Authors:  Meihua Shao; Zhongfeng Niu; Linyang He; Zhaoxing Fang; Jie He; Zongyu Xie; Guohua Cheng; Jian Wang
Journal:  Front Oncol       Date:  2021-12-07       Impact factor: 6.244

  6 in total

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