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Dynamic contrasted enhance MRI

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https://www.readbyqxmd.com/read/29448805/differentiating-skull-base-chordomas-and-invasive-pituitary-adenomas-with-conventional-mri
#1
Ankang Gao, Jie Bai, Jingliang Cheng, Xiao Cheng, Shujian Li, Zanxia Zhang, Yong Zhang
Background It is difficult to distinguish between invasive pituitary adenomas (IPAs) and skull base chordomas based on tumor location and clinical manifestations. Purpose To investigate the value of the apparent diffusion coefficient (ADC), T2-weighted (T2W) imaging, and dynamic contrast enhancement (DCE) in differentiating skull base chordomas and IPAs. Material and Methods Data for 21 patients with skull base chordomas and 27 patients with IPAs involving the paranasal sinus were retrospectively reviewed, and all diagnoses were pathologically confirmed...
January 1, 2018: Acta Radiologica
https://www.readbyqxmd.com/read/29446125/feasibility-of-high-spatiotemporal-resolution-for-an-abbreviated-3d-radial-breast-mri-protocol
#2
Jorge E Jimenez, Roberta M Strigel, Kevin M Johnson, Leah C Henze Bancroft, Scott B Reeder, Walter F Block
PURPOSE: To develop a volumetric imaging technique with 0.8-mm isotropic resolution and 10-s/volume rate to detect and analyze breast lesions in a bilateral, dynamic, contrast-enhanced MRI exam. METHODS: A local low-rank temporal reconstruction approach that also uses parallel imaging and spatial compressed sensing was designed to create rapid volumetric frame rates during a contrast-enhanced breast exam (vastly undersampled isotropic projection [VIPR] spatial compressed sensing with temporal local low-rank [STELLR])...
February 14, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29441225/assessment-of-the-agreement-between-cerebral-hemodynamic-indices-quantified-using-dynamic-susceptibility-contrast-and-dynamic-contrast-enhanced-perfusion-magnetic-resonance-imagings
#3
Seyed Salman Zakariaee, Mohammad Ali Oghabian, Kavous Firouznia, Guive Sharifi, Farshid Arbabi, Farhad Samiei
Background: Brain tumor is one of the most common tumors. A successful treatment might be achieved with an early identification. Pathological investigation as the gold standard method for tumor identification has some limitations. Noninvasive assessment of tumor specifications may be possible using perfusion-weighted magnetic resonance imaging (MRI). Cerebral blood volume (CBV) and cerebral blood flow (CBF) could be calculated based on dynamic contrast-enhanced MRI (DCE-MRI) in addition to dynamic susceptibility contrast MRI (DSC-MRI) modality...
2018: Journal of Clinical Imaging Science
https://www.readbyqxmd.com/read/29437281/free-breathing-dynamic-contrast-enhanced-mri-for-assessment-of-pulmonary-lesions-using-golden-angle-radial-sparse-parallel-imaging
#4
Lihua Chen, Daihong Liu, Jiuquan Zhang, Bing Xie, Xiaoyue Zhou, Robert Grimm, Xuequan Huang, Jian Wang, Li Feng
BACKGROUND: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) has been shown to be a promising technique for assessing lung lesions. However, DCE-MRI often suffers from motion artifacts and insufficient imaging speed. Therefore, highly accelerated free-breathing DCE-MRI is of clinical interest for lung exams. PURPOSE: To test the performance of rapid free-breathing DCE-MRI for simultaneous qualitative and quantitative assessment of pulmonary lesions using Golden-angle RAdial Sparse Parallel (GRASP) imaging...
February 13, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29437167/dynamic-contrast-enhanced-magnetic-resonance-imaging-for-head-and-neck-cancers
#5
(no author information available yet)
Dynamic myraidpro contrast-enhanced magnetic resonance imaging (DCE-MRI) has been correlated with prognosis in head and neck squamous cell carcinoma as well as with changes in normal tissues. These studies implement different software, either commercial or in-house, and different scan protocols. Thus, the generalizability of the results is not confirmed. To assist in the standardization of quantitative metrics to confirm the generalizability of these previous studies, this data descriptor delineates in detail the DCE-MRI digital imaging and communications in medicine (DICOM) files with DICOM radiation therapy (RT) structure sets and digital reference objects (DROs), as well as, relevant clinical data that encompass a data set that can be used by all software for comparing quantitative metrics...
February 13, 2018: Scientific Data
https://www.readbyqxmd.com/read/29435027/dynamics-of-angiogenesis-and-cellularity-in-rabbit-vx2-tumors-using-contrast-enhanced-magnetic-resonance-imaging-and-diffusion-weighted-imaging
#6
Haixia Li, Lijuan Yu, Wenzhi Wang, Lingling Wang, Xiulan Zheng, Shaochun Dai, Yanqin Sun
A number of studies have demonstrated that dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) may be used to evaluate microvessel density (MVD), and may quantitatively reflect tumor angiogenesis. To investigate the dynamics, including angiogenesis and tumor cellularity, of rabbit VX2 tumors during the 4 weeks following tumor implantation, the present study used DCE-MRI combined with diffusion-weighted imaging (DWI) to scan the tumors at 3 days, and then at 1, 2, 3 and 4-week intervals, following tumor implantation...
March 2018: Oncology Letters
https://www.readbyqxmd.com/read/29430478/use-of-clinical-mri-maximum-intensity-projections-for-improved-breast-lesion-classification-with-deep-convolutional-neural-networks
#7
Natalia Antropova, Hiroyuki Abe, Maryellen L Giger
Deep learning methods have been shown to improve breast cancer diagnostic and prognostic decisions based on selected slices of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). However, incorporation of volumetric and temporal components into DCE-MRIs has not been well studied. We propose maximum intensity projection (MIP) images of subtraction MRI as a way to simultaneously include four-dimensional (4-D) images into lesion classification using convolutional neural networks (CNN). The study was performed on a dataset of 690 cases...
January 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29428316/variability-induced-by-the-mr-imager-in-dynamic-contrast-enhanced-imaging-of-the-prostate
#8
S Brunelle, C Zemmour, F Bratan, F Mège-Lechevallier, A Ruffion, M Colombel, S Crouzet, A Sarran, O Rouvière
PURPOSE: To evaluate the variability induced by the imager in discriminating high-grade (Gleason≥7) prostate cancers (HGC) using dynamic contrast-enhanced MRI. MATERIAL AND METHODS: We retrospectively selected 3T MRIs with temporal resolution<10 seconds and comprising T1 mapping from a prospective radiologic-pathologic database of patients treated by prostatectomy. Ktrans, Kep, Ve and Vp were calculated for each lesion seen on MRI using the Weinmann arterial input function (AIF) and three patient-specific AIFs measured in the right and left iliac arteries in pixels in the center of the lumen (psAIF-ST) or manually selected by two independent readers (psAIF-R1 and psAIF-R2)...
February 7, 2018: Diagnostic and Interventional Imaging
https://www.readbyqxmd.com/read/29428251/adaptive-boost-target-definition-in-high-risk-head-and-neck-cancer-based-on-multi-imaging-risk-biomarkers
#9
Feifei Teng, Madhava Aryal, Jae Lee, Choonik Lee, Xioajin Shen, Peter Hawkins, Michelle Mierzwa, Avraham Eisbruch, Yue Cao
PURPOSE: Positron emission tomography with 18 F-deoxyglucose (FDG), dynamic contrast-enhanced magnetic resonance imaging (MRI), and diffusion-weighted MRI each identify unique risk factors for treatment outcomes in head and neck cancer (HNC). Clinical trials in HNC largely rely on a single imaging modality to define targets for boosting. This study aimed to investigate the spatial correspondence of FDG uptake, perfusion, and the apparent diffusion coefficient (ADC) in HNC and their response to chemoradiation therapy (CRT) and to determine the implications of this overlap or lack thereof for adaptive boosting...
December 21, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/29428210/semiautomatic-assessment-of-the-terminal-ileum-and-colon-in-patients-with-crohn-disease-using-mri-the-vigor-project
#10
Carl A J Puylaert, Peter J Schüffler, Robiel E Naziroglu, Jeroen A W Tielbeek, Zhang Li, Jesica C Makanyanga, Charlotte J Tutein Nolthenius, C Yung Nio, Douglas A Pendsé, Alex Menys, Cyriel Y Ponsioen, David Atkinson, Alastair Forbes, Joachim M Buhmann, Thomas J Fuchs, Haralambos Hatzakis, Lucas J van Vliet, Jaap Stoker, Stuart A Taylor, Frans M Vos
RATIONALE AND OBJECTIVES: The objective of this study was to develop and validate a predictive magnetic resonance imaging (MRI) activity score for ileocolonic Crohn disease activity based on both subjective and semiautomatic MRI features. MATERIALS AND METHODS: An MRI activity score (the "virtual gastrointestinal tract [VIGOR]" score) was developed from 27 validated magnetic resonance enterography datasets, including subjective radiologist observation of mural T2 signal and semiautomatic measurements of bowel wall thickness, excess volume, and dynamic contrast enhancement (initial slope of increase)...
February 7, 2018: Academic Radiology
https://www.readbyqxmd.com/read/29427210/a-study-of-association-of-oncotype-dx-recurrence-score-with-dce-mri-characteristics-using-multivariate-machine-learning-models
#11
Ashirbani Saha, Michael R Harowicz, Weiyao Wang, Maciej A Mazurowski
PURPOSE: To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores. METHODS: A set of 261 female patients with invasive breast cancer, pre-operative dynamic contrast enhanced magnetic resonance (DCE-MR) images and available ODX score at our institution was identified. A computer algorithm extracted a comprehensive set of 529 features from the DCE-MR images of these patients...
February 9, 2018: Journal of Cancer Research and Clinical Oncology
https://www.readbyqxmd.com/read/29425058/a-multiparametric-analysis-combining-dce-mri-and-ivim-derived-parameters-to-improve-differentiation-of-parotid-tumors-a-pilot-study
#12
Francesca Patella, Giuseppe Franceschelli, Mario Petrillo, Mario Sansone, Roberta Fusco, Filippo Pesapane, Giovanni Pompili, Anna Maria Ierardi, Alberto Maria Saibene, Laura Moneghini, Federico Biglioli, Gianpaolo Carrafiello
AIM: To evaluate dynamic contrast-enhanced (DCE)-MRI and diffusion weighted (DW)-MRI diagnostic value to differentiate Warthin tumors (WT) by pleomorphic adenomas (PA). MATERIALS & METHODS: Seven WT and seven PA were examined. DCE- and  DW-MRI parameters were extracted from volumes of interest; volume of interest-based averages and standard deviations were calculated. Statistical analysis included: linear discriminant analysis, receiver operating characteristic curves, sensitivity and specificity...
February 9, 2018: Future Oncology
https://www.readbyqxmd.com/read/29422425/utility-of-clinical-parameters-and-multiparametric-mri-as-predictive-factors-for-differentiating-uterine-sarcoma-from-atypical-leiomyoma
#13
Qiu Bi, Zhibo Xiao, Fajin Lv, Yao Liu, Chunxia Zou, Yiqing Shen
OBJECTIVES: The objective of this study was to find clinical parameters and qualitative and quantitative magnetic resonance imaging (MRI) features for differentiating uterine sarcoma from atypical leiomyoma (ALM) preoperatively and to calculate predictive values for uterine sarcoma. MATERIALS AND METHODS: Data from 60 patients with uterine sarcoma and 88 patients with ALM confirmed by surgery and pathology were collected. Clinical parameters, qualitative MRI features, diffusion-weighted imaging with apparent diffusion coefficient values, and quantitative parameters of dynamic contrast-enhanced MRI of these two tumor types were compared...
February 5, 2018: Academic Radiology
https://www.readbyqxmd.com/read/29413764/comparison-of-two-mathematical-models-of-cellularity-calculation
#14
Hans Jonas Meyer, Nikita Garnov, Alexey Surov
OBJECT: Nowadays, there is increasing evidence that functional magnetic resonance imaging (MRI) modalities, namely, diffusion-weighted imaging (DWI) and dynamic-contrast enhanced MRI (DCE MRI), can characterize tumor architecture like cellularity and vascularity. Previously, two formulas based on a logistic tumor growth model were proposed to predict tumor cellularity with DWI and DCE. The purpose of this study was to proof these formulas. METHODS: 16 patients with head and neck squamous cell carcinomas were included into the study...
February 2, 2018: Translational Oncology
https://www.readbyqxmd.com/read/29413439/combined-pet-dce-mri-in-a-rabbit%C3%A2-model%C3%A2-of-atherosclerosis-integrated-quantification-of-plaque-inflammation-permeability-and-burden-during-treatment-with-a-leukotriene-a4-hydrolase-inhibitor
#15
Claudia Calcagno, Olivier Lairez, Julie Hawkins, Steven W Kerr, Melanie S Dugas, Thomas Simpson, Jelle Epskamp, Philip M Robson, Mootaz Eldib, Ilda Bander, Purushothaman K-Raman, Sarayu Ramachandran, Alison Pruzan, Audrey Kaufman, Venkatesh Mani, Alexander Ehlgen, Heiko G Niessen, John Broadwater, Zahi A Fayad
OBJECTIVES: The authors sought to develop combined positron emission tomography (PET) dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) to quantify plaque inflammation, permeability, and burden to evaluate the efficacy of a leukotriene A4 hydrolase (LTA4H) inhibitor in a rabbit model of atherosclerosis. BACKGROUND: Multimodality PET/MRI allows combining the quantification of atherosclerotic plaque inflammation, neovascularization, permeability, and burden by combined 18F-fluorodeoxyglucose (18F-FDG) PET, DCE-MRI, and morphological MRI...
February 2018: JACC. Cardiovascular Imaging
https://www.readbyqxmd.com/read/29410063/meningioma-assessment-kinetic-parameters-in-dynamic-contrast-enhanced-mri-appear-independent-from-microvascular-anatomy-and-vegf-expression
#16
Vera C Keil, Bogdan Pintea, Gerrit H Gielen, Kanishka Hittatiya, Angeliki Datsi, Matthias Simon, Rolf Fimmers, Hans H Schild, Dariusch R Hadizadeh
BACKGROUND AND PURPOSE: Kinetic parameters of T1-weighted dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) are considered to be largely influenced by microvessel environment. This study was performed to explore the extent of this association for meningiomas. MATERIALS AND METHODS: DCE-MRI kinetic parameters (contrast agent transfer constants Ktrans and kep, volume fractions vp and ve) were determined in pre-operative 3T MRI of meningioma patients for later biopsy sites (19 patients; 15 WHO I, no previous radiation, and 4 WHO III pre-radiated recurrent tumors)...
February 1, 2018: Journal of Neuroradiology. Journal de Neuroradiologie
https://www.readbyqxmd.com/read/29407999/pilot-study-for-supervised-target-detection-applied-to-spatially-registered-multiparametric-mri-in-order-to-non-invasively-score-prostate-cancer
#17
Rulon Mayer, Charles B Simone, William Skinner, Baris Turkbey, Peter Choykey
BACKGROUND: Gleason Score (GS) is a validated predictor of prostate cancer (PCa) disease progression and outcomes. GS from invasive needle biopsies suffers from significant inter-observer variability and possible sampling error, leading to underestimating disease severity ("underscoring") and can result in possible complications. A robust non-invasive image-based approach is, therefore, needed. PURPOSE: Use spatially registered multi-parametric MRI (MP-MRI), signatures, and supervised target detection algorithms (STDA) to non-invasively GS PCa at the voxel level...
January 27, 2018: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/29405357/flow-mri-simulation-in-complex-3d-geometries-application-to-the-cerebral-venous-network
#18
Alexandre Fortin, Stéphanie Salmon, Joseph Baruthio, Maya Delbany, Emmanuel Durand
PURPOSE: Develop and evaluate a complete tool to include 3D fluid flows in MRI simulation, leveraging from existing software. Simulation of MR spin flow motion is of high interest in the study of flow artifacts and angiography. However, at present, only a few simulators include this option and most are restricted to static tissue imaging. THEORY AND METHODS: An extension of JEMRIS, one of the most advanced high performance open-source simulation platforms to date, was developed...
February 5, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29399889/local-contrast-enhanced-mr-images-via-high-dynamic-range-processing
#19
Shekhar S Chandra, Craig Engstrom, Jurgen Fripp, Ales Neubert, Jin Jin, Duncan Walker, Olivier Salvado, Charles Ho, Stuart Crozier
PURPOSE: To develop a local contrast-enhancing and feature-preserving high dynamic range (HDR) image processing algorithm for multichannel and multisequence MR images of multiple body regions and tissues, and to evaluate its performance for structure visualization, bias field (correction) mitigation, and automated tissue segmentation. METHODS: A multiscale-shape and detail-enhancement HDR-MRI algorithm is applied to data sets of multichannel and multisequence MR images of the brain, knee, breast, and hip...
February 4, 2018: Magnetic Resonance in Medicine: Official Journal of the Society of Magnetic Resonance in Medicine
https://www.readbyqxmd.com/read/29394634/-a-case-of-solitary-metastatic-diaphragmatic-tumor-from-resected-rectal-cancer
#20
Eisuke Yamamoto, Sakiko Yabe, Kohei Hijikata, Kenta Kobayashi, Taiki Masuda, Hitoshi Sugimoto, Mayumi Hoshino, Hiroshi Goto, Haruya Koshiishi, Tetsunori Yoshimura
A 54-year-old woman underwent high anterior resection with D3 lymphadenectomy for rectal cancer at another hospital. She was diagnosed with well-differentiated adenocarcinoma of rectal cancer, pT3, N1, H0, P0, M0, fStage III a. She did not receive adjuvant chemotherapy. Eighteen months after surgery, abdominal CT at our hospital showed a 19mm-sized mass in S7 of the liver. EOB-MRI also showed a mass in the same location. The mass was a ring contrast-enhanced lesion on dynamic phase, had a low signal pattern on liver cell phase, and had high signal pattern on diffusion-weighted imaging...
November 2017: Gan to Kagaku Ryoho. Cancer & Chemotherapy
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