Pregled bibliografske jedinice broj: 1273064
A new challenge in Radiology: Radiomics in breast cancer diagnostics
A new challenge in Radiology: Radiomics in breast cancer diagnostics // Radiološki vjesnik, 1 (2023), 1; 2-15 doi:10.55378/rv.47.1.1 (domaća recenzija, pregledni rad, stručni)
CROSBI ID: 1273064 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A new challenge in Radiology: Radiomics in breast
cancer diagnostics
Autori
Jovanović, Mariela ; Matijaš Tatjana
Izvornik
Radiološki vjesnik (0352-9835) 1
(2023), 1;
2-15
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, stručni
Ključne riječi
artificial intelligence ; breast cancer ; mammography ; radiomics
Sažetak
Breast cancer is one of the most common and widespread cancers that women can have. In order to prevent the occurrence of cancer, it is important to perform a preventive examination, which includes ultrasound and mammography. Radiology as a branch of medicine has seen rapid development in recent decades thanks to the development of technology, and artificial intelligence is increasingly used in radiology. Radiomics is a new method of radiological image processing that uses software programs to analyse tissue during diagnostic imaging. It is a combination of multiple imaging modalities with the aim of highlighting pathological formations that are not visible to the naked eye or are less significant. The aim of the paper is to introduce to the readers with radiomics and to explain in more detail how it works, and how it was integrated into certain radiological diagnostics and greatly facilitated the image processing process and the diagnosis of breast cancer. Many studies have confirmed that radiomics is a method with numerous advantages, but like any new field, it has its drawbacks. The main limitation is the computer system, which must be standardised so that radiomic data processing can be used in all institutions and so that these institutions can exchange information with each other without difficulty. The problem is also false positive findings, which greatly increase the costs of institutions and the time it takes for patients to reach a diagnosis. The solution to these allegations is the development of new computer algorithms and an increase in the sensitivity of computer detection of lesions. Radiomics will certainly play an important role in diagnostics and image analysis over a period of time. Given that artificial intelligence is still in the process of development, radiomics may not have an independent application, but it will certainly make the work of doctors easier in the analysis of radiological images.
Izvorni jezik
Engleski
Znanstvena područja
Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
POVEZANOST RADA
Ustanove:
Sveučilište u Splitu Sveučilišni odjel zdravstvenih studija
Profili:
Tatjana Matijaš
(autor)