scholarly journals CBMT-26. SERIAL CHARACTERIZATION OF HYPERPOLARIZED [1-13C]PYRUVATE METABOLISM IN PATIENTS WITH GLIOMA AND THE INFLUENCE OF BEVACIZUMAB

2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi38-vi39
Author(s):  
Adam Autry ◽  
Jeremy Gordon ◽  
Hsin-Yu Chen ◽  
Marisa Lafontaine ◽  
Javier Villanueva-Meyer ◽  
...  
Keyword(s):  
Standard Of Care ◽  
Disease Recurrence ◽  
Healthy Controls ◽  
Planar Imaging ◽  
Non Invasive ◽  
Normal Appearing White Matter ◽  
Imaging Sequence ◽  
Mri Scans ◽  
Standard Of Care Treatment ◽  
Echo Planar

Abstract Treatment-related changes often mimic or mask tumor on standard anatomic imaging, making it difficult to monitor disease recurrence. Hyperpolarized (HP) carbon-13 MR imaging allows for real-time non-invasive measurement of metabolism, which may improve patient surveillance. Here, we focused on characterizing serial HP scans in patients undergoing treatment compared to healthy controls. Serial dynamic HP C-13 MRI scans were performed on 5 patients with recurrent glioma (22 total) and 3 healthy controls (4 total) using an echo-planar imaging sequence (2.88-8cm3 spatial resolution, 3s temporal resolution, 60s), following injection of 0.43mL/kg of 250mM HP [1-13C]pyruvate. Apparent rate constants were modeled for enzymatic conversion of pyruvate-to-lactate (kPL) via cytosolic lactate dehydrogenase and pyruvate-to-bicarbonate (kPB) via mitochondrial pyruvate dehydrogenase and carbonic anhydrase. Regions of interest included normal-appearing white matter (NAWM) and T2-hyperintense lesions (T2L), which were segmented from H-1 MR images and then aligned to the HP data. Carbon voxels containing >30% of NAWM or T2L were included in the analysis. Healthy controls demonstrated consistent kPL and kPB values over 4 scans in NAWM with SD/Mean of 5% and 12%, respectively. Compared to the median kPL-NAWM of 0.022s-1 in controls, the 5 patients had median serial kPL-NAWM values of 0.023, 0.023, 0.023, 0.029, and 0.015s-1, and mean serial ratios of kPL between T2L and NAWM (kPL-T2L/kPL-NAWM) of 1.22, 1.27, 1.05, 1.32, and 1.37s-1, indicating higher values in putative tumor. Median kPB-NAWM in controls was 0.004s-1 and ranged in patients 0.003-0.006s-1. Two patients with >4 serial scans, showed consistent kPL-NAWM over standard-of-care treatment and elevated kPL-T2L within new lesions, but up to 85% increase in kPL-NAWM with bevacizumab, which may be attributed to reduced BBB permeability. Stable patients generally demonstrated consistent kPL-T2L values that were lower compared to progressive patients. Future studies will include multi-parametric 1H imaging analysis in a larger patient population.

scholarly journals Optimal indicator for histogram analysis of fractional anisotropy for normal-appearing white matter in multiple sclerosis

2021 ◽  
Vol 26 (4) ◽  
pp. 785-793
Author(s):  
Kimihiro Ogisu ◽  
Masaaki Niino ◽  
Yusei Miyazaki ◽  
Seiji Kikuchi
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Fractional Anisotropy ◽  
Single Shot ◽  
Healthy Controls ◽  
Planar Imaging ◽  
Diffusion Weighted Images ◽  
Normal Appearing White Matter ◽  
Imaging Sequence ◽  
Scale Scores

Background: Normal-appearing white matter (NAWM) lesions are known to be present in multiple sclerosis (MS); however, it is not easy to distinguish these lesions from others in MRI. This study aimed to investigate the most useful value for estimating NAWM damage using fractional anisotropy (FA) histograms analysis. Methods: Data from patients with relapsing-remitting MS and healthy controls were analyzed using a 1.5T MRI system with SENSE-Head-8 coil. FA maps with diffusion- weighted images were acquired using a single-shot echo-planar imaging sequence. The median, standard deviation (SD), kurtosis, and skewness of white matter (WM) of each subject were compared between MS and healthy controls using an in-house application. Results: FA decrease in 8 patients with MS was observed upon comparison with 12 controls and leaned toward the left side. While the SDs of the healthy controls were not significantly different from those of patients with MS, patients with MS expressed significantly lower median values, and higher kurtosis and skewness compared to healthy controls. A trend for inverse associations existed between median and expanded disability status scale scores. Conclusion: Our data suggests that median FA values can allow for distinguishing between patients with MS and healthy controls with high accuracy.

scholarly journals A Quantitative Study of Water Diffusion in Multiple Sclerosis Lesions and Normal-Appearing White Matter Using Echo-Planar Imaging

2000 ◽  
Vol 57 (7) ◽  
pp. 1017 ◽  
Author(s):  
Massimo Filippi ◽  
Giuseppe Iannucci ◽  
Mara Cercignani ◽  
Maria Assunta Rocca ◽  
Arianna Pratesi ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
White Matter ◽  
Quantitative Study ◽  
Echo Planar Imaging ◽  
Water Diffusion ◽  
Planar Imaging ◽  
Normal Appearing White Matter ◽  
Echo Planar

NIMG-43. ADVANCED MULTI-PARAMETRIC HYPERPOLARIZED 13C/1H IMAGING OF GBM

2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi138-vi138
Author(s):  
Adam Autry ◽  
Sana Vaziri ◽  
Marisa LaFontaine ◽  
Jeremy Gordon ◽  
Hsin-Yu Chen ◽  
...  
Keyword(s):  
Mixed Effects ◽  
Planar Imaging ◽  
Pyruvate Metabolism ◽  
Metabolic Alterations ◽  
Hyperpolarized 13C ◽  
Imaging Parameters ◽  
Normal Appearing White Matter ◽  
Parametric Data ◽  
Echo Planar ◽  
The Brain

Abstract INTRODUCTION The goal of this study was to characterize progressive and pseudoprogressive GBM using multi-parametric hyperpolarized (HP)-13C / 1H MRI. METHODS Dynamic HP-13C MRI was acquired from 13 patients with progressive GBM [patients (scans): 2(3) IDH-mutant; 11(13) IDH-wildtype] and 2 IDH-wildtype patients (3 scans) demonstrating pseudo-progression following intravenous injection of HP [1-13C]pyruvate. Frequency-selective echo-planar imaging (3s temporal resolution, 3.38 cm3 spatial resolution) captured [1-13C]pyruvate metabolism to [1-13C]lactate and 13C-bicarbonate in the brain. Dynamic 13C data were kinetically modeled to obtain the pyruvate-to-lactate conversion rate constant k PL and temporally summed to calculate 13C-metabolite percentiles and ratios (linearly interpolated 2x in-plane). 1H imaging included T2, post-Gd T1, perfusion (nCBV, %recovery), diffusion (ADC), and lactate-edited spectroscopy (CNI, choline-to-NAA index; 1H-lactate). The normal-appearing white matter (NAWM), non-enhancing lesion (NEL), and contrast-enhancing lesion (CEL) were segmented from 1H images. 13C-resolution masks were iteratively applied on a voxel-wise basis to evaluate 1H imaging parameters within each ROI and multi-parametric data were collectively evaluated using a mixed effects model in R. RESULTS Progressive IDH-mutant GBM compared to wildtype counterparts displayed increased perfusion %recovery (p < 0.001) and k PL (p < 0.01), together with reduced 1H-lactate (p < 0.001) and pyruvate percentile (p < 0.01), in the T2 lesion. Among IDH-wildtype progressive GBM, the CEL was distinguished from NEL/NAWM by increased nCBV (p < 0.05/0.001), 1H-lactate (p < 0.05/0.001); and decreased bicarbonate / lactate (p < 0.05/0.001). The CEL and NEL were collectively distinguished from NAWM by elevated CNI (p < 0.001/0.001), ADC (p < 0.05/0.001), pyruvate percentile (p < 0.001/0.001), lactate percentile (p < 0.001/0.001), and relative lactate / pyruvate (p < 0.001/0.05). Psuedo-progressive IDH-wildtype GBM displayed lower k PL (T2 Lesion; p < 0.01) and nCBV (CEL; p < 0.01) compared to progressive GBM. CONCLUSION HP-13C parameters can potentially augment proton imaging and demonstrated Warburg-associated metabolic alterations.

A thermometry software tool for monitoring laser-induced interstitial thermotherapy

2019 ◽  
Vol 64 (4) ◽  
pp. 449-457 ◽  
Author(s):  
Babak Bazrafshan ◽  
Ahmad Koujan ◽  
Frank Hübner ◽  
Christian Leithäuser ◽  
Norbert Siedow ◽  
...  
Keyword(s):  
Ex Vivo ◽  
Software Tool ◽  
Biological Tissues ◽  
Planar Imaging ◽  
Imaging Sequence ◽  
Mri Thermometry ◽  
Visualization Toolkit ◽  
Magnetic Resonance Imaging Mri ◽  
Echo Planar ◽  
Interstitial Thermotherapy

Abstract The purpose of this study was to develop a thermometry software tool for temperature monitoring during laser-induced interstitial thermotherapy (LITT). C++ programming language and several libraries including DICOM Toolkit, Grassroots DICOM library, Insight Segmentation and Registration Toolkit, Visualization Toolkit and Quasar Toolkit were used. The software’s graphical user interface creates windows displaying the temperature map and the coagulation extent in the tissue, determined by the magnetic resonance imaging (MRI) thermometry with the echo planar imaging sequence and a numerical simulation based on the radiation and heat transfer in biological tissues, respectively. The software was evaluated applying the MRI-guided LITT to ex vivo pig liver and simultaneously measuring the temperature through a fiber-optic thermometer as reference. Using the software, the temperature distribution determined by the MRI method was compared with the coagulation extent simulation. An agreement was shown between the MRI temperature map and the simulated coagulation extent. Furthermore, the MRI-based and simulated temperatures agreed with the measured one – a correlation coefficient of 0.9993 and 0.9996 was obtained, respectively. The precision of the MRI temperature amounted to 2.4°C. In conclusion, the software tool developed in the present study can be applied for monitoring and controlling the LITT procedure in ex vivo tissues.

scholarly journals Cerebellar responses during anticipation of noxious stimuli in subjects recovered from depression

2002 ◽  
Vol 181 (5) ◽  
pp. 411-415 ◽  
Author(s):  
Katharine A. Smith ◽  
Alexander Ploghaus ◽  
Philip J. Cowen ◽  
Jenny M. McCleery ◽  
Guy M. Goodwin ◽  
...  
Keyword(s):  
Brain Activity ◽  
Therapeutic Interventions ◽  
Noxious Stimulus ◽  
Healthy Controls ◽  
Recurrent Depression ◽  
Planar Imaging ◽  
Conditioning Paradigm ◽  
Substantial Risk ◽  
Healthy Control ◽  
Echo Planar

BackgroundSubjects recovered from depression have a substantial risk for recurrence of depression, suggesting persistent abnormalities in brain activity.AimsTo test whether women recovered from depression show abnormal brain activity in functional magnetic resonance imaging (fMRI) during a conditioning paradigm with a noxious pain stimulus.MethodTen unmedicated women who had recovered from major depression and eight healthy control women each received either noxious hot or non-noxious warm stimuli, the onset of which was signalled by a specific coloured light during 3-tesla echo planar imaging-based fMRI.ResultsSimilar patterns of brain activation were found during painful stimulation for both patients and healthy controls. However, relative to healthy controls, subjects recovered from depression showed a reduced response in the cerebellum during anticipation of the noxious stimulus compared with anticipation of the non-noxious stimulus.ConclusionsOur data suggest that abnormal cerebellar function could be a marker of vulnerability to recurrent depression. This could provide a new target for therapeutic interventions.

Diffusion and quantification of diffusion of prostate cancer

2021 ◽  
pp. 20210653
Author(s):  
Yoshiko Ueno ◽  
Tsutomu Tamada ◽  
Keitaro Sofue ◽  
Takamichi Murakami
Keyword(s):  
Prostate Cancer ◽  
Signal To Noise Ratio ◽  
Planar Imaging ◽  
New Techniques ◽  
Non Invasive ◽  
Apparent Diffusion ◽  
Recent Developments ◽  
Non Gaussian ◽  
Echo Planar ◽  
Gradient Amplitude

For assessing a cancer treatment, and for detecting and characterizing cancer, Diffusion-weighted imaging (DWI) is commonly used. The key in DWI’s use extracranially has been due to the emergence of of high-gradient amplitude and multichannel coils, parallelimaging, and echo-planar imaging. The benefit has been fewer motion artefacts and high-quality prostate images.Recently, new techniques have been developed to improve the signal-to-noise ratio of DWI with fewer artefacts, allowing an increase in spatial resolution. For apparent diffusion coefficient quantification, non-Gaussian diffusion models have been proposed as additional tools for prostate cancer detection and evaluation of its aggressiveness. More recently, radiomics and machine learning for prostate magnetic resonance imaging have emerged as novel techniques for the non-invasive characterisation of prostate cancer. This review presents recent developments in prostate DWI and discusses its potential use in clinical practice.

Sign in / Sign up

Export Citation Format

Share Document