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Radiomics in Oncology, Part 1: Technical Principles and Gastrointestinal Application in CT and MRI
Review

Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications

1
Radiology Unit, Department of Medical Surgical Sciences and Translational Medicine, Sapienza University of Rome-Sant’Andrea University Hospital, Via di Grottarossa, 1035-1039, 00189 Rome, Italy
2
Department of Surgery “Pietro Valdoni”, Sapienza University of Rome, 00161 Rome, Italy
3
Internal Medicine, Northwell Health Staten Island University Hospital, Staten Island, New York, NY 10305, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Antonia Dimitrakopoulou-Strauss
Cancers 2021, 13(11), 2681; https://doi.org/10.3390/cancers13112681
Received: 31 March 2021 / Revised: 26 May 2021 / Accepted: 27 May 2021 / Published: 29 May 2021
(This article belongs to the Special Issue Cancer Imaging: Current Practice and Future Perspectives)
This Part II is an overview of the main applications of Radiomics in oncologic imaging with a focus on diagnosis, prognosis prediction and assessment of response to therapy in thoracic, genito-urinary, breast, neurologic, hematologic and musculoskeletal oncology. In this part II we describe the radiomic applications, limitations and future perspectives for each pre-eminent tumor. In the future, Radiomics could have a pivotal role in management of cancer patients as an imaging tool to support clinicians in decision making process. However, further investigations need to obtain some stable results and to standardize radiomic analysis (i.e., image acquisitions, segmentation and model building) in clinical routine.
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. View Full-Text
Keywords: Radiomics; Oncologic Imaging; Radiomics technical principles Radiomics; Oncologic Imaging; Radiomics technical principles
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MDPI and ACS Style

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. Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications. Cancers 2021, 13, 2681. https://doi.org/10.3390/cancers13112681

AMA Style

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. Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications. Cancers. 2021; 13(11):2681. https://doi.org/10.3390/cancers13112681

Chicago/Turabian Style

Caruso, Damiano, Michela Polici, Marta Zerunian, Francesco Pucciarelli, Gisella Guido, Tiziano Polidori, Federica Landolfi, Matteo Nicolai, Elena Lucertini, Mariarita Tarallo, Benedetta Bracci, Ilaria Nacci, Carlotta Rucci, Marwen Eid, Elsa Iannicelli, and Andrea Laghi. 2021. "Radiomics in Oncology, Part 2: Thoracic, Genito-Urinary, Breast, Neurological, Hematologic and Musculoskeletal Applications" Cancers 13, no. 11: 2681. https://doi.org/10.3390/cancers13112681

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