Radioproteomics in Breast Cancer: Prediction of Ki-67 Expression With MRI-based Radiomic Models

KAYADİBİ Y., Kocak B., Ucar N., Akan Y. N., Akbas P., Bektas S.

ACADEMIC RADIOLOGY, vol.29, 2022 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 29
  • Publication Date: 2022
  • Doi Number: 10.1016/j.acra.2021.02.001
  • Journal Name: ACADEMIC RADIOLOGY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CINAHL, EMBASE, MEDLINE
  • Keywords: Texture analysis, Radiomics, Radioproteomics, Breast cancer, Ki-67 expression, INTERNATIONAL EXPERT CONSENSUS, PRIMARY THERAPY, PREOPERATIVE PREDICTION, PROGNOSTIC-FACTORS, TEXTURE ANALYSIS, RADIOGENOMIC ANALYSIS, TUMOR HETEROGENEITY, MOLECULAR SUBTYPES, IMAGING PHENOTYPES, FEATURES
  • Istanbul University Affiliated: Yes

Abstract

Rationale and Objectives: We aimed to investigate the value of magnetic resonance image (MRI)-based radiomics in predicting Ki-67 expression of breast cancer.