Huang XL, Wang XD, Gong ZM, Zheng YF, Mao JX. Effect of magnetic resonance imaging in liver metastases. World J Gastroenterol 2024; 30(1): 112-114 [PMID: 38293328 DOI: 10.3748/wjg.v30.i1.112]
Corresponding Author of This Article
Jing-Xin Mao, PhD, Research Scientist, Department of Science and Industry, Chongqing Medical and Pharmaceutical College, No. 82 Middle University Town Road, Shapingba District, Chongqing 400030, China. mmm518@163.com
Research Domain of This Article
Imaging Science & Photographic Technology
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. Jan 7, 2024; 30(1): 112-114 Published online Jan 7, 2024. doi: 10.3748/wjg.v30.i1.112
Effect of magnetic resonance imaging in liver metastases
Xing-Liang Huang, Xiao-Dong Wang, Zhao-Miao Gong, Yan-Feng Zheng, Jing-Xin Mao
Xing-Liang Huang, Department of Science and Education, Dianjiang People's Hospital of Chongqing, Chongqing 408399, China
Xiao-Dong Wang, Zhao-Miao Gong, Yan-Feng Zheng, Jing-Xin Mao, Department of Science and Industry, Chongqing Medical and Pharmaceutical College, Chongqing 400030, China
Author contributions: Mao JX and Huang XL designed and analyzed the letter; Mao JX, Wang XD, Gong ZM and Zheng YF performed the research and wrote the letter.
Supported byChongqing Natural Science Foundation General Project, No. 2023NSCQ-MSX1632 and No. 2023NSCQ-MSX1633; Key Scientific and Technological Research Project of Chongqing Municipal Education Commission, No. KJ202302884457913 and No. KJZD-K202302801; 2022 Scientific Research Project of Chongqing Medical and Pharmaceutical College, No. ygz2022104; and Scientific Research and Seedling Breeding Project of Chongqing Medical Biotechnology Association, No. cmba2022kyym-zkxmQ0003.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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/
Corresponding author: Jing-Xin Mao, PhD, Research Scientist, Department of Science and Industry, Chongqing Medical and Pharmaceutical College, No. 82 Middle University Town Road, Shapingba District, Chongqing 400030, China. mmm518@163.com
Received: October 24, 2023 Peer-review started: October 24, 2023 First decision: December 5, 2023 Revised: December 12, 2023 Accepted: December 29, 2023 Article in press: December 29, 2023 Published online: January 7, 2024 Processing time: 73 Days and 23.1 Hours
Core Tip
Core Tip: Hepatocellular carcinoma (HCC) is a highly aggressive tumor that often goes undetected until it reaches an advanced stage. It is the most prevalent primary malignant tumor of the liver/hepar which ranking as the third leading cause of cancer (tumor)-related deaths worldwide. Magnetic resonance imaging (MRI) is considered as the prominent imaging method for diagnosing and monitoring HCC. In recent years, with the development and application of magnetic resonance functional and metabolic imaging technology as well as liver-specific contrast agents, MRI not only aids in the early detection and diagnosis of HCC but also reflects the pathogenesis, biological behavior characteristics, and abnormal gene expression at the cellular level of HCC, providing important information for prognosis evaluation, treatment plan selection, and efficacy evaluation of HCC.
