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However, novel targeted and immunotherapies could generate atypical patterns of response which are nowadays a big challenge since imaging criteria (ie Recist 1.1) have not been proven to be always reliable to assess response. Radiomics and in particular texture analysis (TA) represent new quantitative methodologies which could reduce the impact of these limitations providing most robust data in support of clinical decision process. The aim of this paper was to review the state of the art of radiomics\/TA when it is applied to the imaging of metastatic melanoma patients.<\/jats:p>","DOI":"10.1002\/cam4.2709","type":"journal-article","created":{"date-parts":[[2020,1,17]],"date-time":"2020-01-17T15:40:29Z","timestamp":1579275629000},"page":"1603-1612","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Novel cancer therapies for advanced cutaneous melanoma: The added value of radiomics in the decision making process\u2013A systematic review"],"prefix":"10.1002","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2761-127X","authenticated-orcid":false,"given":"Antonino","family":"Guerrisi","sequence":"first","affiliation":[{"name":"Radiology and Diagnostic Imaging Unit Department of Clinic and Dermatological Research San Gallicano Dermatological Institute IRCCS Rome 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