Literature DB >> 31707435

State-of-the-art in radiomics of hepatocellular carcinoma: a review of basic principles, applications, and limitations.

Joao Manoel Miranda Magalhaes Santos1, Brunna Clemente Oliveira2,3, Jose de Arimateia Batista Araujo-Filho2, Antonildes N Assuncao-Jr4, Felipe Augusto de M Machado5, Camila Carlos Tavares Rocha1, Joao Vicente Horvat1,2, Marcos Roberto Menezes1,2, Natally Horvat6,7.   

Abstract

Radiomics is a new field in medical imaging with the potential of changing medical practice. Radiomics is characterized by the extraction of several quantitative imaging features which are not visible to the naked eye from conventional imaging modalities, and its correlation with specific relevant clinical endpoints, such as pathology, therapeutic response, and survival. Several studies have evaluated the use of radiomics in patients with hepatocellular carcinoma (HCC) with encouraging results, particularly in the pretreatment prediction of tumor biological characteristics, risk of recurrence, and survival. In spite of this, there are limitations and challenges to be overcome before the implementation of radiomics into clinical routine. In this article, we will review the concepts of radiomics and their current potential applications in patients with HCC. It is important that the multidisciplinary team involved in the treatment of patients with HCC be aware of the basic principles, benefits, and limitations of radiomics in order to achieve a balanced interpretation of the results toward a personalized medicine.

Entities:  

Keywords:  Computed tomography; Hepatocellular carcinoma; Liver neoplasms; Magnetic resonance imaging; Positron emission tomography; Radiomics; Textural analysis

Mesh:

Substances:

Year:  2020        PMID: 31707435     DOI: 10.1007/s00261-019-02299-3

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  12 in total

1.  Gadoxetic acid-enhanced MRI radiomics signature: prediction of clinical outcome in hepatocellular carcinoma after surgical resection.

Authors:  Zhen Zhang; Jie Chen; Hanyu Jiang; Yi Wei; Xin Zhang; Likun Cao; Ting Duan; Zheng Ye; Shan Yao; Xuelin Pan; Bin Song
Journal:  Ann Transl Med       Date:  2020-07

Review 2.  Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma.

Authors:  Emily Harding-Theobald; Jeremy Louissaint; Bharat Maraj; Edward Cuaresma; Whitney Townsend; Mishal Mendiratta-Lala; Amit G Singal; Grace L Su; Anna S Lok; Neehar D Parikh
Journal:  Aliment Pharmacol Ther       Date:  2021-08-12       Impact factor: 9.524

3.  Local-Regional Treatment of Hepatocellular Carcinoma: A Primer for Radiologists.

Authors:  Natally Horvat; Ana I de Oliveira; Brunna Clemente de Oliveira; Jose A B Araujo-Filho; Maria El Homsi; Ahmed Elsakka; Raazi Bajwa; Guilherme L P Martins; Khaled M Elsayes; Marcos R Menezes
Journal:  Radiographics       Date:  2022-10       Impact factor: 6.312

Review 4.  Quantitative magnetic resonance imaging for focal liver lesions: bridging the gap between research and clinical practice.

Authors:  Roberto Cannella; Riccardo Sartoris; Jules Grégory; Lorenzo Garzelli; Valérie Vilgrain; Maxime Ronot; Marco Dioguardi Burgio
Journal:  Br J Radiol       Date:  2021-05-14       Impact factor: 3.629

Review 5.  The Growing Skyline of Advanced Hepatocellular Carcinoma Treatment: A Review.

Authors:  Francesca Matilde Schipilliti; Ingrid Garajová; Giulia Rovesti; Rita Balsano; Federico Piacentini; Massimo Dominici; Fabio Gelsomino
Journal:  Pharmaceuticals (Basel)       Date:  2021-01-08

Review 6.  New advances in radiomics of gastrointestinal stromal tumors.

Authors:  Roberto Cannella; Ludovico La Grutta; Massimo Midiri; Tommaso Vincenzo Bartolotta
Journal:  World J Gastroenterol       Date:  2020-08-28       Impact factor: 5.742

Review 7.  Recent Updates of Transarterial Chemoembolilzation in Hepatocellular Carcinoma.

Authors:  Young Chang; Soung Won Jeong; Jae Young Jang; Yong Jae Kim
Journal:  Int J Mol Sci       Date:  2020-10-31       Impact factor: 5.923

Review 8.  The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges.

Authors:  Ismail Bilal Masokano; Wenguang Liu; Simin Xie; Dama Faniriantsoa Henrio Marcellin; Yigang Pei; Wenzheng Li
Journal:  Cancer Imaging       Date:  2020-09-22       Impact factor: 3.909

Review 9.  State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma.

Authors:  Anna Castaldo; Davide Raffaele De Lucia; Giuseppe Pontillo; Marco Gatti; Sirio Cocozza; Lorenzo Ugga; Renato Cuocolo
Journal:  Diagnostics (Basel)       Date:  2021-06-30

10.  Radiomic analysis of MRI to Predict Sustained Complete Response after Radiofrequency Ablation in Patients with Hepatocellular Carcinoma - A Pilot Study.

Authors:  Natally Horvat; Jose de Arimateia B Araujo-Filho; Antonildes N Assuncao-Jr; Felipe Augusto de M Machado; John A Sims; Camila Carlos Tavares Rocha; Brunna Clemente Oliveira; Joao Vicente Horvat; Claudia Maccali; Anna Luísa Boschiroli Lamanna Puga; Aline Lopes Chagas; Marcos Roberto Menezes; Giovanni Guido Cerri
Journal:  Clinics (Sao Paulo)       Date:  2021-07-16       Impact factor: 2.365

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.