Nunzia Garbino

TL;DR: In this article, the authors compared the accuracy of conventional and advanced imaging techniques as well as discuss the application of artificial intelligence tools in the assessment of tumor response after NAC and described the role of advanced imaging technique such as MRI, nuclear medicine, and new hybrid PET/MRI imaging in the prediction of the response to NAC.

TL;DR: The combination of functional 18F-FDG-PET/MRI parameters and molecular determination of YY1 could represent a novel integrated approach to predict synchronous metastatic disease with more accuracy than18F- FDG- PET/MRI alone.

TL;DR: A relation between BAT activation and positive known prognostic factor in breast cancer, such as intermediate tumor grade and luminal B cancer type, is suggested.

TL;DR: Radiomics MRI based on T2 and DCE-MRI revealed promising results concerning both HCC detection and grading, and may be a suitable tool for personalized treatment of HCC patients and could also be used to develop new prognostic biomarkers useful for HCC assessment without the need for invasive procedures.

TL;DR: This pilot study helped to establish a robust framework of analysis to generate a combined radiomic signature, which may lead to more precise breast cancer prognosis, as well as to explore radiomic biomarkers for a better characterization of the radiogenomic phenotypes in breast cancer.