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.

Radiomics in oncology, part 2: thoracic, genito-urinary, breast, neurological, hematologic and musculoskeletal applications / Caruso, D.; Polici, M.; Zerunian, M.; Pucciarelli, F.; Guido, G.; Polidori, T.; Landolfi, F.; Nicolai, M.; Lucertini, E.; Tarallo, M.; Bracci, B.; Nacci, I.; Rucci, C.; Eid, M.; Iannicelli, E.; Laghi, A.. - In: CANCERS. - ISSN 2072-6694. - 13:11(2021). [10.3390/cancers13112681]

Radiomics in oncology, part 2: thoracic, genito-urinary, breast, neurological, hematologic and musculoskeletal applications

Caruso D.
Primo
Conceptualization
;
Polici M.
Secondo
Methodology
;
Zerunian M.
Validation
;
Pucciarelli F.
Writing – Original Draft Preparation
;
Guido G.
Formal Analysis
;
Polidori T.
Formal Analysis
;
Landolfi F.
Data Curation
;
Nicolai M.
Writing – Original Draft Preparation
;
Lucertini E.
Writing – Original Draft Preparation
;
Tarallo M.
Visualization
;
Bracci B.
Writing – Original Draft Preparation
;
Nacci I.
Writing – Original Draft Preparation
;
Rucci C.
Data Curation
;
Iannicelli E.
Penultimo
Writing – Review & Editing
;
Laghi A.
Ultimo
Supervision
2021

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1551962
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