Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)

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Malignancy Prediction of Gastrointestinal Stromal Tumors by Evaluating Tumor Vessel Density from Enhanced Spiral CT Scan

Authors
Jintao Li, Cihu Yu, Chang Li, Yanzhuo Su, Libo Sun
Corresponding Author
Libo Sun
Available Online November 2018.
DOI
10.2991/cimns-18.2018.20How to use a DOI?
Keywords
gastrointestinal stromal tumors; tumor vessel density; CT Scan
Abstract

Purpose The aim of this study was to evaluate the role of tumor blood vessel density from enhanced spiral CT Scan in the malignancy prediction of small bowel gastrointestinal gist tumors (GISTs). Methods Altogether twenty five cases of small bowel GISTs were included. The malignancy grade was classified as benign small bowel stromal tumors (BSS), uncertain malignant potential small bowel stromal tumors (UMPSS), and malignant small bowel stromal tumors (MSS). All the patients received enhanced abdominal CT, and three dimensional imaging of tumor blood vessels were constructed based on the enhanced CT examination, which were input and measured by a software system measure the tumor vessel density (TVD). Results Significant TVD difference was found among the three group (P=0.000), and significant difference was also found between BMS and UPMSS, BMS and MSS, UPNSS and MSS group.(P= 0.016,P= 0.011,and P= 0.038 respectively). TVD level in Ki - 67 positive group is significantly higher than that of Ki - 67 negative group (P= 0.011). Conclusion This study suggested that preoperative measurement of TVD from enhanced three dimensional CT scan can help predict the malignancy extent of small bowel GISTs.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
Series
Advances in Computer Science Research
Publication Date
November 2018
ISBN
978-94-6252-620-4
ISSN
2352-538X
DOI
10.2991/cimns-18.2018.20How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Jintao Li
AU  - Cihu Yu
AU  - Chang Li
AU  - Yanzhuo Su
AU  - Libo Sun
PY  - 2018/11
DA  - 2018/11
TI  - Malignancy Prediction of Gastrointestinal Stromal Tumors by Evaluating Tumor Vessel Density from Enhanced Spiral CT Scan
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 89
EP  - 91
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.20
DO  - 10.2991/cimns-18.2018.20
ID  - Li2018/11
ER  -