Adc apparent diffusion coefficient

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Dec 01, 2013 · Read "Efficacy of diffusion‐weighted imaging and apparent diffusion coefficient measurement in the determination of the focal liver lesions, Journal of Medical Imaging and Radiation Oncology" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at your fingertips. May 10, 2014 · With a short acquisition time and high contrast resolution between tumor and normal prostatic tissue , DWI and apparent diffusion coefficient (ADC) mapping demonstrate an inverse and significant correlation with the Gleason score [7, 14]. Diffusion-weighted MR imaging provides such a biomarker, the apparent diffusion coefficient (ADC), and there from derived functional diffusion maps (fDM) [1] in a noninvasive manner. In order to estimate the accuracy of ADC as a biomarker Apparent diffusion coefficient (ADC) values in the normal brain parenchyma, and those in a variety of lesions were studied by echo-planar diffusion MRI in 310 cases. Brain disorders were classified based on their ADC values, taking the ADC values of the normal brain white matter as the principal category. Background and Purpose— We sought to describe the frequency of normalization of apparent diffusion coefficient (ADC) values that are decreased in hyperacute stroke and to identify characteristics of tissue demonstrating normalization.
 

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Aug 15, 2014 · Diffusion weighted imaging (DWI) is a widely utilized magnetic resonance imaging (MRI) technique that provides in vivo information on the random Brownian motion of free water and is quantified by the calculation of apparent diffusion coefficients (ADCs). Purpose: We aimed to clarify the impact of the apparent diffusion coefficient (ADC) value of the mesorectum from preoperative magnetic resonance imaging (MRI) on surgical difficulty in laparoscopic anterior resection (Lap-AR) for rectal cancer. Jan 27, 2016 · Viallon, M., Moulin, K., Goff, C.L. et al. Apparent Diffusion coefficient (ADC), T1 and T2 quantitative indexes of the myocardium in athletes before, during and after extreme mountain ultra-marathon: correlation with myocardial damages and inflammation biomarkers. Hyperintense diffusion-weighted images (DWIs) were thought to represent infarct, whereas hypointense apparent diffusion coefficient (ADC) maps could represent both infarct and penumbra. The mechanism and implication of the inhomogeneous intensity distribution of DWI infarct are unknown. The use of MRI apparent diffusion coefficient (ADC) in monitoring the development of brain infarction Jian-Min Shen*, Xian-Wu Xia*, Wu-Gen Kang, Jian-Jun Yuan, Liang Sheng Abstract Background: To study the rules that apparent diffusion coefficient (ADC) changes with time and space in cerebral Abstract. Purpose: Diffusion-weighted imaging(DWI) has been shown to have superior tumor-to-tissue contrast for cancer detection.This study aims at developing and evaluating a four dimensional DWI(4D-DWI) technique using retrospective sorting method for imaging respiratory motion for radiotherapy planning,and evaluate its effect on Apparent Diffusion Coefficient(ADC) measurement. Other names given to the exponential image include the exponential ADC map, the exponential diffusion-weighted image, the attenuation coefficient (AC) map, and the attenuation factor map. The automatic generation of exponential diffusion images is now possible on many brands of scanners.
 

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ObjectiveThe aim of this study was to evaluate the potential of diffusion-weighted imaging–derived apparent diffusion coefficient (ADC) measurements to obviate unnecessary biopsies in multiparametric MRI–detected PI-RADS 4 and 5 lesions.Materials and MethodsThis retrospective, institutional review b MEDLINE library was screened for associations between ADC and cell count in different tumors up to September 2016. The following search words were used: “DWI or diffusion weighted imaging or diffusion-weighted imaging or ADC or apparent diffusion coefficient AND cellularity or cell density or cell count or cell number”.

OsiriX plugin code (mac-only, objective C) to calculate apparent diffusion coefficient from MRI DICOM images. This code was developed for quick/easy ADC calculation from DICOM images. Other features including IVIM (fast and biexponential) fits and synthetic image calculation have been added.

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Purpose This study aimed to investigate the utility of a volumetric apparent diffusion coefficient (ADC) histogram method for distinguishing non–puerperal mastitis (NPM) from breast cancer (BC) and to compare this method with a traditional 2-dimensional measurement method. First, the use of the apparent diffusion coefficient (ADC) in the detection of acute ischemic stroke was a significant development [1, 2]. Thereafter, owing to the improvement in technical aspects of calculating ADC, which allowed its application to body diffusion, ADC was used in the diagnosis of malignant tumors and inflammatory diseases [ 3 ...