Contributing to the prediction of prognosis for treated hepatocellular carcinoma: Imaging aspects that sculpt the future

doi:10.4240/wjgs.v16.i10.3377

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Oct 27, 2024 (publication date) through Sep 27, 2024

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World Journal of Gastrointestinal Surgery

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1948-9366

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Letter to the Editor

World J Gastrointest Surg. Oct 27, 2024; 16(10): 3377-3380
Published online Oct 27, 2024. doi: 10.4240/wjgs.v16.i10.3377

Contributing to the prediction of prognosis for treated hepatocellular carcinoma: Imaging aspects that sculpt the future

Cristian Lindner

Cristian Lindner, Department of Radiology, Faculty of Medicine, University of Concepcion, Concepcion 4030000, Biobío, Chile

Cristian Lindner, Department of Radiology, Hospital Regional Guillermo Grant Benavente, Concepcion 4030000, Biobío, Chile

Author contributions: Lindner C wrote this article.

Conflict-of-interest statement: The author declares that there is no conflict of interest.

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: Cristian Lindner, MD, Doctor, Department of Radiology, Faculty of Medicine, University of Concepcion, No. 1290 Victor Lamas, Concepcion 4030000, Biobío, Chile. clindner@udec.cl

Received: July 27, 2024
Revised: August 19, 2024
Accepted: August 28, 2024
Published online: October 27, 2024
Processing time: 62 Days and 3.3 Hours

Core Tip

Core Tip: Emerging imaging techniques, particularly multiparametric magnetic resonance imaging and radiomics, enhance prognostic models for hepatocellular carcinoma (HCC) treated with radiofrequency ablation and transarterial chemoembolization. Incorporating advanced imaging features alongside clinical factors refines prediction accuracy, aiding personalized treatment and improving patient outcomes. This integration is crucial for advancing HCC prognosis and therapy.