| Literature DB >> 34072366 |
Damiano Caruso1, Michela Polici1, Marta Zerunian1, Francesco Pucciarelli1, Gisella Guido1, Tiziano Polidori1, Federica Landolfi1, Matteo Nicolai1, Elena Lucertini1, Mariarita Tarallo2, Benedetta Bracci1, Ilaria Nacci1, Carlotta Rucci1, Marwen Eid3, Elsa Iannicelli1, Andrea Laghi1.
Abstract
Radiomics has the potential to play a pivotal role in oncological translational imaging, particularly in cancer detection, prognosis prediction and response to therapy evaluation. To date, several studies established Radiomics as a useful tool in oncologic imaging, able to support clinicians in practicing evidence-based medicine, uniquely tailored to each patient and tumor. Mineable data, extracted from medical images could be combined with clinical and survival parameters to develop models useful for the clinicians in cancer patients' assessment. As such, adding Radiomics to traditional subjective imaging may provide a quantitative and extensive cancer evaluation reflecting histologic architecture. In this Part II, we present an overview of radiomic applications in thoracic, genito-urinary, breast, neurological, hematologic and musculoskeletal oncologic applications.Entities:
Keywords: Oncologic Imaging; Radiomics; Radiomics technical principles
Year: 2021 PMID: 34072366 DOI: 10.3390/cancers13112681
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639