| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Predicting hepatocellular carcinoma: A new non-invasive model based on shear wave elastography
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Dong Jiang, Yi Qian, Yi-Jun Gu, Ru Wang, Hua Yu, Hui Dong, Dong-Yu Chen, Yan Chen, Hao-Zheng Jiang, Bi-Bo Tan, Min Peng and Yi-Ran Li |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| National Natural Science Foundation of China Youth Training Project |
2021GZR003 |
| Medical-engineering Interdisciplinary Research Youth Training Project |
2022YGJC001 |
|
| Corresponding Author |
Yi-Ran Li, MD, Attending Doctor, Department of Ultrasound, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, No. 225 Changhai Road, Shanghai 200433, China. liyiranehsh@sina.com |
| Key Words |
Shear wave elastography; Predicting model; Microvascular invasion; Antiviral treatment; Hepatocellular carcinoma |
| Core Tip |
This study pioneers a new model utilizing two-dimensional shear wave elastography (2D-SWE) to enhance preoperative diagnosis of hepatocellular carcinoma. This study highlights the prognostic value of 2D-SWE stiffness values in assessing malignant liver lesions in patients with chronic hepatitis B, their microvascular invasion potential, and monitoring the efficacy of antiviral treatments. The predictive map validated by receiver operating characteristic analysis provides a promising tool for clinicians in the management of liver cancer and represents an important step forward in precision oncology. |
| Publish Date |
2024-07-01 07:39 |
| Citation |
<p>Jiang D, Qian Y, Gu YJ, Wang R, Yu H, Dong H, Chen DY, Chen Y, Jiang HZ, Tan BB, Peng M, Li YR. Predicting hepatocellular carcinoma: A new non-invasive model based on shear wave elastography. <i>World J Gastroenterol</i> 2024; 30(25): 3166-3178</p> |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i25/3166.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i25.3166 |
