Publications by authors named "K Tokumori"
Objectives: This study conducted a receiver operating characteristic (ROC) analysis by applying improved cluster signal-to-noise (CSN) analysis to digital intraoral radiographs and develop an observer-free method of analyzing image quality related to the observer performance in the detection task.
Methods: Two aluminum step phantoms with a thickness interval of 1.0 mm were used for this study.
Article Synopsis
- - The study aimed to evaluate the effectiveness of the gamma distribution (GD) model in diffusion MRI for distinguishing between IDH-mutant and IDH-wildtype glioblastomas in 66 patients.
- - It measured differences in three areas under the probability density function for the two groups, revealing significant variations in the diffusion characteristics, notably with the f1 parameter being higher in IDH-mutants.
- - The findings suggest that the GD model accurately represents the pathological features of glioblastomas and could help in non-invasive tumor differentiation based on IDH mutation status.
Objectives: To compare the gamma distribution (GD), intravoxel incoherent motion (IVIM), and monoexponential (ME) models in terms of their goodness-of-fit, correlations among the parameters, and the effectiveness in the differential diagnosis of various orofacial lesions.
Methods: A total of 85 patients underwent turbo spin-echo diffusion-weighted imaging with six b-values. The goodness-of-fit of three models was assessed using Akaike Information Criterion.
The preoperative imaging-based differentiation of primary central nervous system lymphomas (PCNSLs) and glioblastomas (GBs) is of high importance since the therapeutic strategies differ substantially between these tumors. In this study, we investigate whether the gamma distribution (GD) model is useful in this differentiation of PNCSLs and GBs. Twenty-seven patients with PCNSLs and 57 patients with GBs were imaged with diffusion-weighted imaging using 13 b-values ranging from 0 to 1000 sec/mm2.
View Article and Find Full Text PDFObjectives: This study evaluated the correlation among the diffusion-derived parameters obtained by monoexponential (ME), intravoxel incoherent motion (IVIM) and γ distribution (GD) models and compared these parameters among representative orofacial tumours.
Methods: Ninety-two patients who underwent 1.5 T MRI including diffusion-weighted imaging were included.