Literature DB >> 33918125

Overview of Prognostic Systems for Hepatocellular Carcinoma and ITA.LI.CA External Validation of MESH and CNLC Classifications.

Alessandro Vitale1, Fabio Farinati1, Michele Finotti1, Chiara Di Renzo1, Giuseppina Brancaccio2, Fabio Piscaglia3,4, Giuseppe Cabibbo5, Eugenio Caturelli6, Gabriele Missale7, Fabio Marra8, Rodolfo Sacco9, Edoardo G Giannini10, Franco Trevisani11, Umberto Cillo1.   

Abstract

Prognostic assessment in patients with HCC remains an extremely difficult clinical task due to the complexity of this cancer where tumour characteristics interact with degree of liver dysfunction, patient general health status, and a large span of available treatment options. Several prognostic systems have been proposed in the last three decades, both from the Asian and European/North American countries. Prognostic scores, such as the CLIP score and the recent MESH score, have been generated on a solid statistical basis from real life population data, while staging systems, such as the BCLC scheme and the recent CNLC classification, have been created by experts according to recent HCC prognostic evidences from the literature. A third category includes combined prognostic systems that can be used both as prognostic scores and staging systems. A recent example is the ITA.LI.CA prognostic system including either a prognostic score and a simplified staging system. This review focuses first on an overview of the main prognostic systems for HCC classified according to the above three categories, and, second, on a comprehensive description of the methodology required for a correct comparison between different systems in terms of prognostic performance. In this second section the main studies in the literature comparing different prognostic systems are described in detail. Lastly, a formal comparison between the last prognostic systems proposed for each of the above three categories is performed using a large Italian database including 6882 HCC patients in order to concretely apply the comparison rules previously described.

Entities:  

Keywords:  discrimination ability; hepatocellular carcinoma; homogeneity; monotonicity of gradients; prognostic performance; prognostic system

Year:  2021        PMID: 33918125     DOI: 10.3390/cancers13071673

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  7 in total

Review 1.  Adverse events of sorafenib in hepatocellular carcinoma treatment.

Authors:  Yongsheng Pang; Aydin Eresen; Zigeng Zhang; Qiaoming Hou; Yining Wang; Vahid Yaghmai; Zhuoli Zhang
Journal:  Am J Cancer Res       Date:  2022-06-15       Impact factor: 5.942

Review 2.  Contemporary Algorithm for the Management of Hepatocellular Carcinoma in 2021: The Northwestern Approach.

Authors:  Adam Swersky; Laura Kulik; Aparna Kalyan; Karen Grace; Juan Carlos Caicedo; Robert J Lewandowski; Riad Salem
Journal:  Semin Intervent Radiol       Date:  2021-10-07       Impact factor: 1.780

Review 3.  Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction.

Authors:  David Nam; Julius Chapiro; Valerie Paradis; Tobias Paul Seraphin; Jakob Nikolas Kather
Journal:  JHEP Rep       Date:  2022-02-02

4.  Nomograms Incorporating the CNLC Staging System Predict the Outcome of Hepatocellular Carcinoma After Curative Resection.

Authors:  Rui Liao; Xu-Fu Wei; Ping Che; Kun-Li Yin; Lei Liu
Journal:  Front Oncol       Date:  2022-01-21       Impact factor: 6.244

5.  Pulsed Microwave Liver Ablation: An Additional Tool to Treat Hepatocellular Carcinoma.

Authors:  Giacomo Zanus; Giovanni Tagliente; Serena Rossi; Alessandro Bonis; Mattia Zambon; Michele Scopelliti; Marco Brizzolari; Ugo Grossi; Maurizio Romano; Michele Finotti
Journal:  Cancers (Basel)       Date:  2022-01-31       Impact factor: 6.639

Review 6.  Recurrent Hepatocellular Carcinoma: Patterns, Detection, Staging and Treatment.

Authors:  Dimitrios Papaconstantinou; Diamantis I Tsilimigras; Timothy M Pawlik
Journal:  J Hepatocell Carcinoma       Date:  2022-09-03

7.  Nomogram Based on Inflammatory Biomarkers to Predict the Recurrence of Hepatocellular Carcinoma-A Multicentre Experience.

Authors:  Zehao Zheng; Renguo Guan; Yiping Zou; Zhixiang Jian; Ye Lin; Rongping Guo; Haosheng Jin
Journal:  J Inflamm Res       Date:  2022-09-05
  7 in total

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