Literature DB >> 29153374

Histopathologic diversity of gastric cancers: Relationship between enhancement pattern on dynamic contrast-enhanced CT and histological type.

Daisuke Tsurumaru1, Mitsutoshi Miyasaka2, Toshio Muraki3, Akihiro Nishie4, Yoshiki Asayama5, Eiji Oki6, Yoshinao Oda7, Hiroshi Honda8.   

Abstract

PURPOSE: To evaluate the diagnostic value of contrast-enhanced computed tomography gastrography (CE-CTG) to predict the histological type of gastric cancer.
MATERIALS AND METHODS: We analyzed 47 consecutive patients with resectable advanced gastric cancer preoperatively evaluated by multiphasic dynamic contrast-enhanced CT. Two radiologists independently reviewed the CT images and they determined the peak enhancement phase, and then measured the CT attenuation value of the gastric lesion for each phase. The histological types of gastric cancers were assigned to three groups as differentiated-type, undifferentiated-type, and mixed-type. We compared the peak enhancement phase of the three types and compared the CT attenuation values in each phase.
RESULTS: The peak enhancement was significantly different between the three types of gastric cancers for both readers (reader 1, p=0.001; reader 2, p=0.009); most of the undifferentiated types had peak enhancement in the delayed phase. The CT attenuation values of undifferentiated type were significantly higher than those of differentiated or mixed type in the delayed phase according to both readers (reader 1, p=0.002; reader 2, p=0.004).
CONCLUSION: CE-CTG could provide helpful information in diagnosing the histological type of gastric cancers preoperatively.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Computed tomography; Contrast media; Gastric cancer; Gastroscopy; Histopathology

Mesh:

Substances:

Year:  2017        PMID: 29153374     DOI: 10.1016/j.ejrad.2017.10.018

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  11 in total

1.  CT gastrography "wall-carving technique" of gastric cancer: impact of contrast enhancement based on layer depth.

Authors:  Daisuke Tsurumaru; Yusuke Nishimuta; Toshio Muraki; Yoshiki Asayama; Akihiro Nishie; Eiji Oki; Hiroshi Honda
Journal:  Jpn J Radiol       Date:  2019-06-08       Impact factor: 2.374

2.  Usefulness of histologic differences and perivascular infiltration for preoperative T staging of advanced gastric cancer using computed tomography.

Authors:  Ji Youn Kim; Woo-Suk Chung; Hyeun Jin Lee; Ji Hae An; Jang Shin Son
Journal:  Jpn J Radiol       Date:  2019-10-17       Impact factor: 2.374

3.  Value of multiphase contrast-enhanced CT with three-dimensional reconstruction in detecting depth of infiltration, lymph node metastasis, and extramural vascular invasion of gastric cancer.

Authors:  Junda Wang; Lijuan Zhong; Xinjie Zhou; Demei Chen; Rui Li
Journal:  J Gastrointest Oncol       Date:  2021-08

4.  Acute Tumor Transition Angle on Computed Tomography Predicts Chromosomal Instability Status of Primary Gastric Cancer: Radiogenomics Analysis from TCGA and Independent Validation.

Authors:  Ying-Chieh Lai; Ta-Sen Yeh; Ren-Chin Wu; Cheng-Kun Tsai; Lan-Yan Yang; Gigin Lin; Michael D Kuo
Journal:  Cancers (Basel)       Date:  2019-05-09       Impact factor: 6.639

5.  The Preoperative Enhanced Degree of Contrast-enhanced CT Images: A Potential Independent Predictor in Gastric Adenocarcinoma Patients After Radical Gastrectomy.

Authors:  Xinxin Wang; Huajun Ye; Ye Yan; Jiansheng Wu; Na Wang; Mengjun Chen
Journal:  Cancer Manag Res       Date:  2020-11-23       Impact factor: 3.989

6.  Enhancement pattern of differentiated and undifferentiated gastric carcinoma on multiphasic contrast-enhanced computed tomography.

Authors:  Baphiralyne Wankhar; Aman Yusuf Khan; Vandana Raphael; Dathiadiam Tongper; Donkupar Khongwar; Kyrshanlang G Lynrah
Journal:  Pol J Radiol       Date:  2021-11-22

7.  Non-invasively predicting response to neoadjuvant chemotherapy in gastric cancer via deep learning radiomics.

Authors:  Mengjie Fang; Jie Tian; Di Dong
Journal:  EClinicalMedicine       Date:  2022-04-07

8.  Development and validation of multivariate models integrating preoperative clinicopathological and radiographic findings to predict HER2 status in gastric cancer.

Authors:  Mengying Xu; Song Liu; Lin Li; Xiangmei Qiao; Changfeng Ji; Lingyu Tan; Zhengyang Zhou
Journal:  Sci Rep       Date:  2022-08-19       Impact factor: 4.996

9.  A computed tomography-based preoperative risk scoring system to distinguish lymphoepithelioma-like gastric carcinoma from non-lymphoepithelioma-like gastric carcinoma.

Authors:  Liming Li; Wenpeng Huang; Ping Hou; Weiwei Li; Menyun Feng; Yiyang Liu; Jianbo Gao
Journal:  Front Oncol       Date:  2022-09-15       Impact factor: 5.738

10.  Contrast-Enhanced CT Parameters of Gastric Adenocarcinoma: Can Radiomic Features Be Surrogate Biomarkers for HER2 Over-Expression Status?

Authors:  Na Wang; Xinxin Wang; Wenya Li; Huajun Ye; Hongzhao Bai; Jiansheng Wu; Mengjun Chen
Journal:  Cancer Manag Res       Date:  2020-02-18       Impact factor: 3.989

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