• Roberta Indriulytė LSMU MA Medicinos fakultetas
  • Diana Leškytė LSMU MA Medicinos fakultetas
  • Algidas Basevičius Kauno klinikų Radiologijos klinika
Keywords: radiomics, breast cancer, diagnostics


The aim. To evaluate the possibility of using a radiomics to diagnose breast cancer and response to treatment. Methods. During the period from 2021 January to 2021 April scientific publications from the PubMed database were selected according to keywords, based on inclusion and exclusion criteria. Results. 9 article matched criteria for inclusion into the study and was used for further analysis of literature. A nomogram comprising a radiomic score and a BI-RADS category has potential for breast cancer prognostic significance for lesions classified as BI-RADS US Category 4 or 5. Radiomics, clinically combined with conventional breast US and SWE images, provide noninvasive and practical ways to know (predict) the scale of lymph nodes removal procedure and treatment options in early-stage breast cancer. Combining quantitative tumor radiographic data with contralateral parenchymal characteristics improves the diagnostic accuracy of breast cancer. The application of radiomics adds a useful contrast to the chest CT and helps to plan a strategy for patients’ clinical treatment. Models based on 18F-FDG PET/CT images might distinguish breast carcinoma from breast lymphoma. Multiparametric MRI radiomics can predict the pathological response to neoadjuvant chemotherapy in breast cancer as well as identify immunologically active tumors. Conclusions. Radiomics can be useful in diagnosing breast cancer, predicting its expansion, selecting the scope of surgery, and determining treatment efficacy.