Recent Radiomics Advancements in Breast Cancer: Lessons and Pitfalls for the Next Future.
Radiomics is an emerging translational field of medicine based on the extraction of highdimensional data from radiological images, with the purpose to reach reliable models to be applied into clinical practice for the purposes of diagnosis, prognosis and evaluation of disease response to treatment....
| Publicado en: | Current Oncology Vol. 28; no. 4; pp. 2351 - 2373 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
MDPI
Aug2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=152137406&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 152137406 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 11980052 5EKK jtl: Current Oncology issn: 11980052 maglogo: N pubinfo: dt: Aug2021 vid: 28 iid: 4 pid: 97109 pub: MDPI artinfo: ui: 152137406 10.3390/curroncol28040217 152137406 ppf: 2351 ppct: 22 formats: fmt: @attributes: type: P tig: atl: Recent Radiomics Advancements in Breast Cancer: Lessons and Pitfalls for the Next Future. aug: au: Pesapane, Filippo Rotili, Anna Maria Agazzi, Giorgio Botta, Francesca Raimondi, Sara Penco, Silvia Dominelli, Valeria Cremonesi, Marta Alicja Jereczek-Fossa, Barbara Carrafiello, Gianpaolo Cassano, Enrico affil: Division of Breast Radiology, IRCSS, IEO European Institute of Oncology, 20141 Milan, Italy sug: ab: Radiomics is an emerging translational field of medicine based on the extraction of highdimensional data from radiological images, with the purpose to reach reliable models to be applied into clinical practice for the purposes of diagnosis, prognosis and evaluation of disease response to treatment. We aim to provide the basic information on radiomics to radiologists and clinicians who are focused on breast cancer care, encouraging cooperation with scientists to mine data for a better application in clinical practice. We investigate the workflow and clinical application of radiomics in breast cancer care, as well as the outlook and challenges based on recent studies. Currently, radiomics has the potential ability to distinguish between benign and malignant breast lesions, to predict breast cancer's molecular subtypes, the response to neoadjuvant chemotherapy and the lymph node metastases. Even though radiomics has been used in tumor diagnosis and prognosis, it is still in the research phase and some challenges need to be faced to obtain a clinical translation. In this review, we discuss the current limitations and promises of radiomics for improvement in further research. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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