Evaluation of staging systems to predict prognosis in hepatocellular carcinoma patients treated with radioembolization.

Hepatocellular carcinoma Prognosis Radioembolization Staging

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 29 05 2020
revised: 06 06 2021
accepted: 11 01 2022
entrez: 26 1 2022
pubmed: 27 1 2022
medline: 27 1 2022
Statut: epublish

Résumé

To compare the prognostic accuracy of nine staging systems, some of which are well-known and some of which have only been more recently described, for patients with unresectable HCC treated with radioembolization (RE). Individual scores or classes for the following staging systems were recorded or calculated for patients (n = 89) with unresectable HCC who underwent RE at a single tertiary care center from January 2008 to October 2016: Eastern Cooperative Oncology Group, Barcelona Clinic Liver Cancer, Hong Kong Liver Cancer, Okuda, Cancer of the Liver Italian Program (CLIP), Model for End Stage Liver Disease, Child-Pugh (CP) Categorical and Numeric, and Albumin-Bilirubin. For each staging system, a cox proportional hazards regression model was fit to the data and log-rank test statistics, concordance indices, Akaike Information Criteria (AIC) and other diagnostic statistics were calculated. Of the nine staging systems analyzed, the basic discriminatory ability assessed with the log-rank test (rejected at the α = .05-level) was significant for two of the systems: CP Numeric (p < .001) and CLIP (p < .05). Out of these two systems, CP Numeric system had a higher prognostic accuracy than CLIP with the lowest AIC (464.90), the highest optimism-corrected pseudo R As applied to our patient population, the CP Numeric system contained the most predictive prognostic information for patients with HCC undergoing radioembolization. However, all evaluated staging systems performed suboptimally, and the relative superiority of any of the systems remains unclear when ranking them according to common practice. Further evaluation of current ranking methodologies is recommended.

Identifiants

pubmed: 35079653
doi: 10.1016/j.heliyon.2022.e08770
pii: S2405-8440(22)00058-5
pmc: PMC8777092
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e08770

Informations de copyright

© 2022 The Authors. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

The authors declare the following conflict of interests: Paul F Laeseke is a Consultant at NeuWave Medical, a Consultant and Shareholder at Elucent Medical, and a Shareholder of HistoSonics and McGinley Orthopeadic Innovations.

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Auteurs

Ece Meram (E)

Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.

Colin Longhurst (C)

Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.

Baran Umut Vardar (BU)

Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.

Kerim Karaoglu (K)

Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.

Paul F Laeseke (PF)

Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.

Orhan S Ozkan (OS)

Department of Radiology, University of Wisconsin-Madison, Madison, WI, USA.

Classifications MeSH