Literature DB >> 32424627

A closer look to the new frontier of artificial intelligence in the percutaneous treatment of primary lesions of the liver.

M Citone1, F Fanelli1, G Falcone1, F Mondaini1, D Cozzi2, V Miele3.   

Abstract

The purpose of thermal ablation is induction of tumor death by means of localized hyperthermia resulting in irreversible cellular damage. Ablative therapies are well-recognized treatment modalities for HCC lesions and are considered standard of care for HCC nodules < 3 cm in diameter in patients not suitable for surgery. Effective lesion treatment rely on complete target volume ablation. Technical limitations are represented by large (> 3 cm) or multicentric nodules as well as complex nodule location and poor lesion conspicuity. Artificial Intelligence (AI) is a general term referred to computational algorithms that can analyze data and perform complex tasks otherwise prerogative of Human Intelligence. AI has a variety of application in percutaneous ablation procedures such as Navigational software, Fusion Imaging, and robot-assisted ablation tools. Those instruments represent relative innovations in the field of Interventional Oncology and promising strategies to overcome actual limitations of ablative therapy in order to increase feasibility and technical results. This work aims to review the principal application of Artificial Intelligence in the percutaneous ablation of primary lesions of the liver with special focus on how AI can impact in the treatment of HCC especially on potential advantages on the drawbacks of the conventional technique.

Entities:  

Keywords:  Artificial intelligence; Fusion imaging; HCC; Liver ablation; Percutaneous ablation

Year:  2020        PMID: 32424627     DOI: 10.1007/s12032-020-01380-y

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  5 in total

Review 1.  Image-Guided Percutaneous Ablation for Primary and Metastatic Tumors.

Authors:  Arian Mansur; Tushar Garg; Apurva Shrigiriwar; Vahid Etezadi; Christos Georgiades; Peiman Habibollahi; Timothy C Huber; Juan C Camacho; Sherif G Nour; Alan Alper Sag; John David Prologo; Nariman Nezami
Journal:  Diagnostics (Basel)       Date:  2022-05-24

Review 2.  Artificial intelligence: Emerging player in the diagnosis and treatment of digestive disease.

Authors:  Hai-Yang Chen; Peng Ge; Jia-Yue Liu; Jia-Lin Qu; Fang Bao; Cai-Ming Xu; Hai-Long Chen; Dong Shang; Gui-Xin Zhang
Journal:  World J Gastroenterol       Date:  2022-05-28       Impact factor: 5.374

3.  The Value of Nuclear Magnetic Resonance in Liver Nodular Lesions.

Authors:  Si Chen; JiaLing Bao
Journal:  Contrast Media Mol Imaging       Date:  2022-08-11       Impact factor: 3.009

Review 4.  Role of Fusion Imaging in Image-Guided Thermal Ablations.

Authors:  Serena Carriero; Gianmarco Della Pepa; Lorenzo Monfardini; Renato Vitale; Duccio Rossi; Andrea Masperi; Giovanni Mauri
Journal:  Diagnostics (Basel)       Date:  2021-03-19

5.  Radiomics in hepatic metastasis by colorectal cancer.

Authors:  Vincenza Granata; Roberta Fusco; Maria Luisa Barretta; Carmine Picone; Antonio Avallone; Andrea Belli; Renato Patrone; Marilina Ferrante; Diletta Cozzi; Roberta Grassi; Roberto Grassi; Francesco Izzo; Antonella Petrillo
Journal:  Infect Agent Cancer       Date:  2021-06-02       Impact factor: 2.965

  5 in total

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