Radiomics : the value of the numbers in present and future radiology

2018
journal article
review article
12
cris.lastimport.wos2024-04-09T22:53:00Z
dc.abstract.enRadiomics is a new concept that has been functioning in medicine for only a few years. This idea, created recently, relies on processing innumerable quantities of metadata acquired from every examination, followed by extraction thereof from relevant imaging examinations, such as computer tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET) images, by means of appropriate created algorithms. The extracted results have great potential and broad possibilities of application. Thanks to these we can verify efficiency of treatment, predict locations of metastases of tumours, correlate results with histopathological examinations, or define the type of cancer more precisely. In effect, we obtain more personalised treatment for each patient, which is extremely important and highly recommendable in the tests and applicable treatment therapies conducted nowadays. Radiomics is a non-invasive and high efficiency post-processing method. This article is intended to explain the idea of radiomics, the mechanisms of data acquisition, existing possibilities, and the challenges incurred by radiologists and physicians at the stage of making diagnosis or conducting treatment.pl
dc.contributor.authorPatyk, Mateuszpl
dc.contributor.authorSilicki, Jurandpl
dc.contributor.authorMazur, Rafałpl
dc.contributor.authorKręcichwost, Roksanapl
dc.contributor.authorSokołowska Dąbek, Dąbrówkapl
dc.contributor.authorZaleska-Dorobisz, Urszulapl
dc.date.accessioned2018-05-28T16:28:17Z
dc.date.available2018-05-28T16:28:17Z
dc.date.issued2018pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.additionalBibliogr. s. e174pl
dc.description.physicale171-e174pl
dc.description.versionostateczna wersja wydawcy
dc.description.volume83pl
dc.identifier.doi10.5114/pjr.2018.75794pl
dc.identifier.eissn1899-0967pl
dc.identifier.issn1733-134Xpl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/54615
dc.languageengpl
dc.language.containerengpl
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska*
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode*
dc.share.typeotwarte czasopismo
dc.subject.enradiomicspl
dc.subject.enbiomarkerspl
dc.subject.entreatment responsepl
dc.subject.enquantitative imagingpl
dc.subject.ensegmentationpl
dc.subject.enimage featurespl
dc.subject.enprecision medicinepl
dc.subject.eninformaticspl
dc.subject.enmachine learningpl
dc.subtypeReviewArticlepl
dc.titleRadiomics : the value of the numbers in present and future radiologypl
dc.title.journalPolish Journal of Radiologypl
dc.typeJournalArticlepl
dspace.entity.typePublication
cris.lastimport.wos
2024-04-09T22:53:00Z
dc.abstract.enpl
Radiomics is a new concept that has been functioning in medicine for only a few years. This idea, created recently, relies on processing innumerable quantities of metadata acquired from every examination, followed by extraction thereof from relevant imaging examinations, such as computer tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET) images, by means of appropriate created algorithms. The extracted results have great potential and broad possibilities of application. Thanks to these we can verify efficiency of treatment, predict locations of metastases of tumours, correlate results with histopathological examinations, or define the type of cancer more precisely. In effect, we obtain more personalised treatment for each patient, which is extremely important and highly recommendable in the tests and applicable treatment therapies conducted nowadays. Radiomics is a non-invasive and high efficiency post-processing method. This article is intended to explain the idea of radiomics, the mechanisms of data acquisition, existing possibilities, and the challenges incurred by radiologists and physicians at the stage of making diagnosis or conducting treatment.
dc.contributor.authorpl
Patyk, Mateusz
dc.contributor.authorpl
Silicki, Jurand
dc.contributor.authorpl
Mazur, Rafał
dc.contributor.authorpl
Kręcichwost, Roksana
dc.contributor.authorpl
Sokołowska Dąbek, Dąbrówka
dc.contributor.authorpl
Zaleska-Dorobisz, Urszula
dc.date.accessioned
2018-05-28T16:28:17Z
dc.date.available
2018-05-28T16:28:17Z
dc.date.issuedpl
2018
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.additionalpl
Bibliogr. s. e174
dc.description.physicalpl
e171-e174
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
83
dc.identifier.doipl
10.5114/pjr.2018.75794
dc.identifier.eissnpl
1899-0967
dc.identifier.issnpl
1733-134X
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/54615
dc.languagepl
eng
dc.language.containerpl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 3.0 Polska
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri*
http://creativecommons.org/licenses/by-nc-nd/3.0/pl/legalcode
dc.share.type
otwarte czasopismo
dc.subject.enpl
radiomics
dc.subject.enpl
biomarkers
dc.subject.enpl
treatment response
dc.subject.enpl
quantitative imaging
dc.subject.enpl
segmentation
dc.subject.enpl
image features
dc.subject.enpl
precision medicine
dc.subject.enpl
informatics
dc.subject.enpl
machine learning
dc.subtypepl
ReviewArticle
dc.titlepl
Radiomics : the value of the numbers in present and future radiology
dc.title.journalpl
Polish Journal of Radiology
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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