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Article Dans Une Revue Diagnostics Année : 2023

Radiomics, a Promising New Discipline: Example of Hepatocellular Carcinoma

Radiomics, a Promising New Discipline: Example of Hepatocellular Carcinoma.

Résumé

Radiomics is a discipline that involves studying medical images through their digital data. Using “artificial intelligence” algorithms, radiomics utilizes quantitative and high-throughput analysis of an image’s textural richness to obtain relevant information for clinicians, from diagnosis assistance to therapeutic guidance. Exploitation of these data could allow for a more detailed characterization of each phenotype, for each patient, making radiomics a new biomarker of interest, highly promising in the era of precision medicine. Moreover, radiomics is non-invasive, cost-effective, and easily reproducible in time. In the field of oncology, it performs an analysis of the entire tumor, which is impossible with a single biopsy but is essential for understanding the tumor’s heterogeneity and is known to be closely related to prognosis. However, current results are sometimes less accurate than expected and often require the addition of non-radiomics data to create a performing model. To highlight the strengths and weaknesses of this new technology, we take the example of hepatocellular carcinoma and show how radiomics could facilitate its diagnosis in difficult cases, predict certain histological features, and estimate treatment response, whether medical or surgical.

Dates et versions

hal-04495960 , version 1 (08-03-2024)

Identifiants

Citer

Thomas Lévi-Strauss, Bettina Tortorici, Olivier Lopez, Philippe Viau, Dann Ouizeman, et al.. Radiomics, a Promising New Discipline: Example of Hepatocellular Carcinoma. Diagnostics, 2023, 13 (7), pp.1303. ⟨10.3390/diagnostics13071303⟩. ⟨hal-04495960⟩
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