Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features

• Current staging systems for hepatocellular carcinoma (HCC) are centered on treatment decisions and based on prognosis determined by a combination of imaging, laboratory, and clinical parameters; imaging provides preoperative anatomic delineation of the tumor extent. • Magnetic resonance imaging...

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Main Authors: Low, Hsien Min, Lee, Jeong Min, Tan, Cher Heng
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/171404
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1714042023-10-29T15:37:50Z Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features Low, Hsien Min Lee, Jeong Min Tan, Cher Heng Lee Kong Chian School of Medicine (LKCMedicine) Tan Tock Seng Hospital Science::Medicine Hepatocellular Carcinoma Prognosis • Current staging systems for hepatocellular carcinoma (HCC) are centered on treatment decisions and based on prognosis determined by a combination of imaging, laboratory, and clinical parameters; imaging provides preoperative anatomic delineation of the tumor extent. • Magnetic resonance imaging (MRI) imaging additionally provides multiparametric information on the cellular composition of certain variants of HCC that have prognoses ranging from better to worse compared to not otherwise specific HCC. • Hepatobiliary MRI findings of microvascular invasion and non-hypervascular hypointense nodules are promising for assessing the prognosis of tumor recurrence and patient survival. • Standardization of imaging-based classification systems could improve both the diagnosis and prognosis assessment of HCC but requires further validation. Published version 2023-10-24T03:46:23Z 2023-10-24T03:46:23Z 2023 Journal Article Low, H. M., Lee, J. M. & Tan, C. H. (2023). Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features. Korean Journal of Radiology, 24(7), 660-667. https://dx.doi.org/10.3348/kjr.2023.0168 1229-6929 https://hdl.handle.net/10356/171404 10.3348/kjr.2023.0168 37404108 2-s2.0-85163991032 7 24 660 667 en Korean Journal of Radiology © 2023 The Korean Society of Radiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Medicine
Hepatocellular Carcinoma
Prognosis
spellingShingle Science::Medicine
Hepatocellular Carcinoma
Prognosis
Low, Hsien Min
Lee, Jeong Min
Tan, Cher Heng
Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features
description • Current staging systems for hepatocellular carcinoma (HCC) are centered on treatment decisions and based on prognosis determined by a combination of imaging, laboratory, and clinical parameters; imaging provides preoperative anatomic delineation of the tumor extent. • Magnetic resonance imaging (MRI) imaging additionally provides multiparametric information on the cellular composition of certain variants of HCC that have prognoses ranging from better to worse compared to not otherwise specific HCC. • Hepatobiliary MRI findings of microvascular invasion and non-hypervascular hypointense nodules are promising for assessing the prognosis of tumor recurrence and patient survival. • Standardization of imaging-based classification systems could improve both the diagnosis and prognosis assessment of HCC but requires further validation.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Low, Hsien Min
Lee, Jeong Min
Tan, Cher Heng
format Article
author Low, Hsien Min
Lee, Jeong Min
Tan, Cher Heng
author_sort Low, Hsien Min
title Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features
title_short Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features
title_full Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features
title_fullStr Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features
title_full_unstemmed Prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features
title_sort prognosis prediction of hepatocellular carcinoma based on magnetic resonance imaging features
publishDate 2023
url https://hdl.handle.net/10356/171404
_version_ 1781793742450065408