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Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review.


ABSTRACT: The evaluation of the efficacy of different therapies is of paramount importance for the patients and the clinicians in oncology, and it is usually possible by performing imaging investigations that are interpreted, taking in consideration different response evaluation criteria. In the last decade, texture analysis (TA) has been developed in order to help the radiologist to quantify and identify parameters related to tumor heterogeneity, which cannot be appreciated by the naked eye, that can be correlated with different endpoints, including cancer prognosis. The aim of this work is to analyze the impact of texture in the prediction of response and in prognosis stratification in oncology, taking into consideration different pathologies (lung cancer, breast cancer, gastric cancer, hepatic cancer, rectal cancer). Key references were derived from a PubMed query. Hand searching and clinicaltrials.gov were also used. This paper contains a narrative report and a critical discussion of radiomics approaches related to cancer prognosis in different fields of diseases.

SUBMITTER: Reginelli A 

PROVIDER: S-EPMC8534713 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature

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Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review.

Reginelli Alfonso A   Nardone Valerio V   Giacobbe Giuliana G   Belfiore Maria Paola MP   Grassi Roberta R   Schettino Ferdinando F   Del Canto Mariateresa M   Grassi Roberto R   Cappabianca Salvatore S  

Diagnostics (Basel, Switzerland) 20210929 10


The evaluation of the efficacy of different therapies is of paramount importance for the patients and the clinicians in oncology, and it is usually possible by performing imaging investigations that are interpreted, taking in consideration different response evaluation criteria. In the last decade, texture analysis (TA) has been developed in order to help the radiologist to quantify and identify parameters related to tumor heterogeneity, which cannot be appreciated by the naked eye, that can be  ...[more]

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