Background And Purpose: Despite a recent resurgence, intravoxel incoherent motion MRI faces practical challenges, including limited SNR and demanding acquisition and postprocessing requirements. A simplified approach using linear fitting of a subset of higher b-values has seen success in other organ systems. We sought to validate this method for evaluation of brain pathology by comparing perfusion measurements using simplified linear fitting to conventional biexponential fitting.
Materials And Methods: Forty-nine patients with gliomas and 17 with acute strokes underwent 3T MRI, including DWI with 16 b-values (range, 0-900 s/mm). Conventional intravoxel incoherent motion was performed using nonlinear fitting of the standard biexponential equation. Simplified intravoxel incoherent motion was performed using linear fitting of the log-normalized signal curves for subsets of b-values >200 s/mm. Comparisons between ROIs (tumors, strokes, contralateral brain) and between models (biexponential and simplified linear) were performed by using 2-way ANOVA. The root mean square error and coefficient of determination (R) were computed for the simplified model, with biexponential fitting as the reference standard.
Results: Perfusion maps using simplified linear fitting were qualitatively similar to conventional biexponential fitting. The perfusion fraction was elevated in high-grade (n = 33) compared to low-grade (n = 16) gliomas and was reduced in strokes compared to the contralateral brain (P < .001 for both main effects). Decreasing the number of b-values used for linear fitting resulted in reduced accuracy (higher root mean square error and lower R) compared with full biexponential fitting.
Conclusions: Intravoxel incoherent motion perfusion imaging of common brain pathology can be performed by using simplified linear fitting, with preservation of clinically relevant perfusion information.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7963855 | PMC |
| http://dx.doi.org/10.3174/ajnr.A4929 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Objectives: To determine the health utility values (HUVs) of overactive bladder (OAB), defined as urinary urgency, usually accompanied by urinary daytime or nocturnal frequency, with or without urinary incontinence, among adults aged ≥65 years and to assess the HUV decrements (disutilities) of OAB according to its severity.
Methods: This cross-sectional Internet-based study was conducted between 2 and 9 November 2023, with quota sampling with equal probability for each sex and age group (age 65-74 years and ≥75 years). OAB was defined as an urgency score of ≥2 points and a total score of ≥3 points based on the Overactive Bladder Symptom Score.
Understanding how the collective activity of neural populations relates to computation and ultimately behavior is a key goal in neuroscience. To this end, statistical methods which describe high-dimensional neural time series in terms of low-dimensional latent dynamics have played a fundamental role in characterizing neural systems. Yet, what constitutes a successful method involves two opposing criteria: (1) methods should be expressive enough to capture complex nonlinear dynamics, and (2) they should maintain a notion of interpretability often only warranted by simpler linear models.
View Article and Find Full Text PDFCurvilinear association between Framingham Steatosis Index and chronic kidney disease: a nationwide cross-sectional study.
Front Med (Lausanne)
January 2025
Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Introduction: Fatty liver disease is potentially linked to chronic kidney disease (CKD), yet the association between the Framingham Steatosis Index (FSI) and CKD remains uncharted. Our study thoroughly investigated the correlation between FSI and CKD, aiming to elucidate the underlying links between these two conditions.
Methods: The relationship between FSI and CKD was evaluated using a weighted multivariate logistic regression model, and the curvilinear relationship between FSI and CKD was explored through smooth curve fitting.
The ability to accurately express and compute the absorption spectrum is critically important for measuring the composition and concentration of substances. In this study, we present a method that reconstructs the original spectra into new spectra with linear features based on absorption intensity to improve the analysis of spectral data. The transformation matrix and mapping relationship are calculated based on the absorption intensity of the spectral data.
View Article and Find Full Text PDFThe quality of biological samples used in metabolomics research is significantly influenced by preanalytical factors, such as the timing of centrifugation and freezing. This study aimed to evaluate how preanalytical factors, like delays in centrifugation and freezing, affect metabolomics research. Blood samples, collected in various tube types, were subjected to controlled pre- and postcentrifugation delays.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!