Radiomics has been playing a pivotal role in oncological translational imaging, particularly in cancer diagnosis, prediction prognosis, and therapy response assessment. Recently, promising results were achieved in management of cancer patients by extracting mineable high-dimensional data from medical images, supporting clinicians in decision-making process in the new era of target therapy and personalized medicine. Radiomics could provide quantitative data, extracted from medical images, that could reflect microenvironmental tumor heterogeneity, which might be a useful information for treatment tailoring. Thus, it could be helpful to overcome the main limitations of traditional tumor biopsy, often affected by bias in tumor sampling, lack of repeatability and possible procedure complications. This quantitative approach has been widely investigated as a non-invasive and an objective imaging biomarker in cancer patients; however, it is not applied as a clinical routine due to several limitations related to lack of standardization and validation of images acquisition protocols, features segmentation, extraction, processing, and data analysis. This field is in continuous evolution in each type of cancer, and results support the idea that in the future Radiomics might be a reliable application in oncologic imaging. The first part of this review aimed to describe some radiomic technical principles and clinical applications to gastrointestinal oncologic imaging (CT and MRI) with a focus on diagnosis, prediction prognosis, and assessment of response to therapy.

Radiomics in oncology, part 1: technical principles and gastrointestinal application in CT and MRI / Caruso, Damiano; Polici, Michela; Zerunian, Marta; Pucciarelli, Francesco; Guido, Gisella; Polidori, Tiziano; Landolfi, Federica; Nicolai, Matteo; Lucertini, Elena; Tarallo, Mariarita; Bracci, Benedetta; Nacci, Ilaria; Rucci, Carlotta; Iannicelli, Elsa; Laghi, Andrea. - In: CANCERS. - ISSN 2072-6694. - 13:11(2021). [10.3390/cancers13112522]

Radiomics in oncology, part 1: technical principles and gastrointestinal application in CT and MRI

Caruso, Damiano
Primo
Conceptualization
;
Polici, Michela
Secondo
Methodology
;
Zerunian, Marta
Methodology
;
Pucciarelli, Francesco
Writing – Original Draft Preparation
;
Guido, Gisella
Formal Analysis
;
Polidori, Tiziano
Writing – Original Draft Preparation
;
Landolfi, Federica
Data Curation
;
Nicolai, Matteo
Writing – Original Draft Preparation
;
Lucertini, Elena
Writing – Original Draft Preparation
;
Tarallo, Mariarita
Visualization
;
Bracci, Benedetta
Writing – Original Draft Preparation
;
Nacci, Ilaria
Writing – Original Draft Preparation
;
Rucci, Carlotta
Data Curation
;
Iannicelli, Elsa
Penultimo
Writing – Review & Editing
;
Laghi, Andrea
Ultimo
Supervision
2021

Abstract

Radiomics has been playing a pivotal role in oncological translational imaging, particularly in cancer diagnosis, prediction prognosis, and therapy response assessment. Recently, promising results were achieved in management of cancer patients by extracting mineable high-dimensional data from medical images, supporting clinicians in decision-making process in the new era of target therapy and personalized medicine. Radiomics could provide quantitative data, extracted from medical images, that could reflect microenvironmental tumor heterogeneity, which might be a useful information for treatment tailoring. Thus, it could be helpful to overcome the main limitations of traditional tumor biopsy, often affected by bias in tumor sampling, lack of repeatability and possible procedure complications. This quantitative approach has been widely investigated as a non-invasive and an objective imaging biomarker in cancer patients; however, it is not applied as a clinical routine due to several limitations related to lack of standardization and validation of images acquisition protocols, features segmentation, extraction, processing, and data analysis. This field is in continuous evolution in each type of cancer, and results support the idea that in the future Radiomics might be a reliable application in oncologic imaging. The first part of this review aimed to describe some radiomic technical principles and clinical applications to gastrointestinal oncologic imaging (CT and MRI) with a focus on diagnosis, prediction prognosis, and assessment of response to therapy.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1551964
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