Hepatic diffuse conditions and focal liver lesions represent two of the most common scenarios to face in everyday radiological clinical practice. Thanks to the advances in technology, radiology has gained a central role in the management of patients with liver disease, especially due to its high sensitivity and specificity. Since the introduction of computed tomography (CT) and magnetic resonance imaging (MRI), radiology has been considered the non-invasive reference modality to assess and characterize liver pathologies. In recent years, clinical practice has moved forward to a quantitative approach to better evaluate and manage each patient with a more fitted approach. In this setting, radiomics has gained an important role in helping radiologists and clinicians characterize hepatic pathological entities, in managing patients, and in determining prognosis. Radiomics can extract a large amount of data from radiological images, which can be associated with different liver scenarios. Thanks to its wide applications in ultrasonography (US), CT, and MRI, different studies were focused on specific aspects related to liver diseases. Even if broadly applied, radiomics has some advantages and different pitfalls. This review aims to summarize the most important and robust studies published in the field of liver radiomics, underlying their main limitations and issues, and what they can add to the current and future clinical practice and literature.

Maino, C., Vernuccio, F., Cannella, R., Franco, P., Giannini, V., Dezio, M., et al. (2024). Radiomics and liver: Where we are and where we are headed?. EUROPEAN JOURNAL OF RADIOLOGY, 171(February 2024) [10.1016/j.ejrad.2024.111297].

Radiomics and liver: Where we are and where we are headed?

Maino C.
;
Franco P. N.;De Bernardi E.;Ippolito D.;
2024

Abstract

Hepatic diffuse conditions and focal liver lesions represent two of the most common scenarios to face in everyday radiological clinical practice. Thanks to the advances in technology, radiology has gained a central role in the management of patients with liver disease, especially due to its high sensitivity and specificity. Since the introduction of computed tomography (CT) and magnetic resonance imaging (MRI), radiology has been considered the non-invasive reference modality to assess and characterize liver pathologies. In recent years, clinical practice has moved forward to a quantitative approach to better evaluate and manage each patient with a more fitted approach. In this setting, radiomics has gained an important role in helping radiologists and clinicians characterize hepatic pathological entities, in managing patients, and in determining prognosis. Radiomics can extract a large amount of data from radiological images, which can be associated with different liver scenarios. Thanks to its wide applications in ultrasonography (US), CT, and MRI, different studies were focused on specific aspects related to liver diseases. Even if broadly applied, radiomics has some advantages and different pitfalls. This review aims to summarize the most important and robust studies published in the field of liver radiomics, underlying their main limitations and issues, and what they can add to the current and future clinical practice and literature.
Articolo in rivista - Articolo scientifico
Artificial Intelligence; Cholangiocarcinoma; Computed Tomography; Deep Learning; Diagnosis; Hepatocellular carcinoma; Liver metastases; Machine Learning; Magnetic resonance imaging; Prognosis; Radiomics; Texture analysis;
English
12-gen-2024
2024
171
February 2024
111297
none
Maino, C., Vernuccio, F., Cannella, R., Franco, P., Giannini, V., Dezio, M., et al. (2024). Radiomics and liver: Where we are and where we are headed?. EUROPEAN JOURNAL OF RADIOLOGY, 171(February 2024) [10.1016/j.ejrad.2024.111297].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/458079
Citazioni
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
Social impact