Publications by authors named "Meliha Akin"
Article Synopsis
- This study looked at how reliable a method called consensus-based segmentation is for analyzing tumor images from MRI and CT scans.
- Researchers examined three types of tumors with 30 samples each and had 12 people help in the process of breaking down the images.
- The results showed that many of the features were not consistently reproducible, which means that using just this method for segmentation might not be a good idea without checking how reliable it is first.
Objective: The aim of the study was to investigate the diagnostic value of fluorodeoxyglucose-18 (FDG)-PET/computed tomography (CT) and MRI parameters in determining the molecular subtypes of invasive breast cancer.
Methods: Data from 55 primary invasive breast cancer masses in 51 female patients who underwent pre-treatment PET/CT and MRI scans, and histopathological diagnosis at the authors' center were retrospectively reviewed. The relationship between FDG-PET/CT and MRI parameters, including maximum and mean standard uptake values (SUVmax and SUVmean, respectively), mean metabolic index (MImean) and metabolic tumor volume (MTV) values obtained from FDG-PET, and shape, margin, internal contrast-enhancement characteristics, kinetic curve types, functional tumor volume (FTV), apparent diffusion coefficient (ADC) values obtained from MRI was evaluated.