Publications by authors named "F Kanzaki"
Article Synopsis
- The study aimed to explore the use of time-dependent diffusion MRI (dMRI) to differentiate between functioning and nonfunctioning pituitary adenomas (PAs).
- It involved 54 participants, measuring the apparent diffusion coefficients (ADCs) of various types of PAs and finding that the cADC values were significantly higher in functioning PAs compared to nonfunctioning ones.
- The results suggest that cADC is an effective diagnostic tool, particularly for distinguishing growth hormone-producing PAs from nonfunctioning PAs.
Objectives: To develop and identify machine learning (ML) models using pretreatment 2-deoxy-2-[F]fluoro-D-glucose ([F]-FDG)-positron emission tomography (PET)-based radiomic features to differentiate benign from malignant parotid gland diseases (PGDs).
Materials And Methods: This retrospective study included 62 patients with 63 PGDs who underwent pretreatment [F]-FDG-PET/computed tomography (CT). The lesions were assigned to the training (n = 44) and testing (n = 19) cohorts.
Purpose: To determine whether synthetic MR imaging can distinguish between benign and malignant salivary gland lesions.
Methods: The study population included 44 patients with 33 benign and 11 malignant salivary gland lesions. All MR imaging was obtained using a 3 Tesla system.
Background: Oscillating gradient diffusion-weighted imaging (DWI) enables elucidation of microstructural characteristics in cancers; however, there are limited data to evaluate its utility in patients with endometrial cancer.
Purpose: To investigate the utility of oscillating gradient DWI for risk stratification in patients with uterine endometrial cancer compared with conventional pulsed gradient DWI.
Study Type: Retrospective.