Literature DB >> 32620600

Review of the Role of Radiomics in Tumour Risk Classification and Prognosis of Cancer.

Yeo Li Wen1,2, Michelle Leech3.   

Abstract

Radiomics, an emerging field in radiation therapy, is hypothesized to improve classification of tumour risk and prognosis. Despite encouraging results, there are issues of practicality and interpretation of radiomic data. This study investigates the emerging role of radiomics in tumour risk classification and prognosis of breast and prostate cancer. A literature search was conducted using predefined terms to retrieve studies related to radiomics. Studies were evaluated and selected upon meeting the criteria defined. A total of 19 relevant publications were selected from 63 publications identified. Data from studies revealed significant area under the curve (AUC) values and high discriminative power. Significant AUC values for biochemical recurrence of disease and disease-free survival were reported for prognosis. Radiomics show promising potential in discriminating tumour risk and predicting prognosis of cancer using specified features. It is an alternative to conventional predictive tools and has the ability to improve with the use of existing tools. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Radiomics; classification; prediction; prognosis; review; tumour risk

Year:  2020        PMID: 32620600     DOI: 10.21873/anticanres.14350

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  4 in total

Review 1.  Radiomics-Guided Precision Medicine Approaches for Colorectal Cancer.

Authors:  Mohammed I Quraishi
Journal:  Front Oncol       Date:  2022-06-09       Impact factor: 5.738

Review 2.  An overview of artificial intelligence in oncology.

Authors:  Eduardo Farina; Jacqueline J Nabhen; Maria Inez Dacoregio; Felipe Batalini; Fabio Y Moraes
Journal:  Future Sci OA       Date:  2022-02-10

3.  Using pre-operative radiomics to predict microvascular invasion of hepatocellular carcinoma based on Gd-EOB-DTPA enhanced MRI.

Authors:  Xin-Yu Lu; Ji-Yun Zhang; Tao Zhang; Xue-Qin Zhang; Jian Lu; Xiao-Fen Miao; Wei-Bo Chen; Ji-Feng Jiang; Ding Ding; Sheng Du
Journal:  BMC Med Imaging       Date:  2022-09-03       Impact factor: 2.795

4.  Brain magnetic resonance imaging radiomics features associated with hepatic encephalopathy in adult cirrhotic patients.

Authors:  Gianvincenzo Sparacia; Giuseppe Parla; Roberto Cannella; Giuseppe Mamone; Ioannis Petridis; Luigi Maruzzelli; Vincenzina Lo Re; Mona Shahriari; Alberto Iaia; Albert Comelli; Roberto Miraglia; Angelo Luca
Journal:  Neuroradiology       Date:  2022-04-30       Impact factor: 2.995

  4 in total

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