We analyze the chemical and jump surface diffusion coefficients, D(c) and D(J), near a first-order phase transition at which two phases coexist and the surface coverage, θ, jumps between single-phase values θ(-)(*) and θ(+)(*). Contrary to other studies, we consider temperatures that are sufficiently subcritical. Using the local equilibrium approximation, we obtain approximate analytical formulas for the dependences of D(c) and D(J) on the coverage and system size, N, near such a transition. In the two-phase regime, when θ ranges between θ-* and θ+*, the diffusion coefficients behave as the sums of two hyperbolas, D(c) ≈ A-/N|θ-θ(-)(*)| + A+/N|θ-θ(+)(*)| and D(J) ≈ A(-)|θ-θ(+)(*)|/θ+A(+)|θ-θ(-)(*)|/θ. This behavior rapidly changes as the system goes from the two-phase regime to either of the single-phase regimes (when θ goes below θ(-)(*) or above θ(+)(*)). The crossover behavior of D(c)(θ) and D(J)(θ) between the two-phase and single-phase regimes is described by rather complex formulas involving the Lambert function. We consider a lattice-gas model on a triangular lattice to illustrate these general results, applying them to four specific examples of transitions exhibited by the model.
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http://dx.doi.org/10.1103/PhysRevE.86.011601 | DOI Listing |
J Comput Assist Tomogr
November 2024
From the Diagnostic Radiology Department, Faculty of Medicine, Mansoura University-Egypt, Mansoura, Egypt.
Objective: The aim of the study is to assess the diagnostic performance of quantitative analysis of diffusion-weighted imaging in assessing treatment response in cervical cancer patients.
Methods: A retrospective analysis was done for 50 patients with locally advanced cervical cancer who received concurrent chemoradiotherapy and underwent magnetic resonance imaging and diffusion-weighted imaging. Treatment response was classified into 4 categories according to RECIST criteria 6 months after therapy completion.
J Comput Assist Tomogr
November 2024
From the Department of Radiology, Mayo Clinic, Rochester, MN.
Objectives: The aims of the study are to develop a prostate cancer risk prediction model that combines clinical and magnetic resonance imaging (MRI)-related findings and to assess the impact of adding Prostate Imaging-Reporting and Data System (PI-RADS) ≥3 lesions-level findings on its diagnostic performance.
Methods: This 3-center retrospective study included prostate MRI examinations performed with clinical suspicion of clinically significant prostate cancer (csPCa) between 2018 and 2022. Pathological diagnosis within 1 year after the MRI was used to diagnose csPCa.
Front Oncol
December 2024
Department of Radiology, School of Medicine, University of Washington, Seattle, WA, United States.
Introduction: Diffusion weighted MRI (DWI) has emerged as a promising adjunct to reduce unnecessary biopsies prompted by breast MRI through use of apparent diffusion coefficient (ADC) measures. The purpose of this study was to investigate the effects of different lesion ADC measurement approaches and ADC cutoffs on the diagnostic performance of breast DWI in a high-risk MRI screening cohort to identify the optimal approach for clinical incorporation.
Methods: Consecutive screening breast MRI examinations (August 2014-Dec 2018) that prompted a biopsy for a suspicious breast lesion (BI-RADS 4 or 5) were retrospectively evaluated.
Heliyon
January 2025
Department of Food Science and Technology, Botswanan University of Agriculture and Natural Resources, Botswana.
Avocados are among the most well-known nutrient-rich fruits worldwide. However, there is a high production of by-product waste, mainly avocado seeds. Avocado seeds can be used in many functional food and non-food applications, due to their nutritional and health-promoting properties.
View Article and Find Full Text PDFCurr Med Imaging
January 2025
Department of Radiology, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, 400030, China.
Background: Early diagnosis of prostate cancer can improve the survival rate of patients on the premise of high-quality images. The prerequisite for early diagnosis is high-quality images. ZOOMit is a method for high-resolution, zoomed FOV imaging, allowing diffusion-weighted images with high contrast and resolution in short acquisition times.
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