scholarly journals P07.19 Fractal structure on gadolineum-enhanced MRI scans correlates with oxidative metabolism and VEGF expression in glioblastoma

2016 ◽  
Vol 18 (suppl_4) ◽  
pp. iv38-iv38
Author(s):  
S. Berendsen ◽  
K. J. Miller ◽  
W. G. M. Spliet ◽  
W. Van Hecke ◽  
T. Seute ◽  
...  
Keyword(s):  
Oxidative Metabolism ◽  
Fractal Structure ◽  
Vegf Expression ◽  
Enhanced Mri ◽  
Mri Scans

Effect of lapatinib on hepatic parenchymal enhancement on gadoxetate disodium (EOB)-enhanced MRI scans of the rat liver

2013 ◽  
Vol 31 (6) ◽  
pp. 386-392 ◽  
Author(s):  
Yuko Nakamura ◽  
Yutaka Hirokawa ◽  
Shigemi Kitamura ◽  
Wataru Yamasaki ◽  
Koji Arihiro ◽  
...  
Keyword(s):  
Rat Liver ◽  
Gadoxetate Disodium ◽  
Enhanced Mri ◽  
Mri Scans ◽  
Parenchymal Enhancement

scholarly journals A 3D Deep Neural Network for Liver Volumetry in 3T Contrast-Enhanced MRI

2020 ◽  
Author(s):  
Hinrich Winther ◽  
Christian Hundt ◽  
Kristina Imeen Ringe ◽  
Frank K. Wacker ◽  
Bertil Schmidt ◽  
...  
Keyword(s):  
Neural Network ◽  
Intraclass Correlation ◽  
Ground Truth ◽  
Hepatobiliary Phase ◽  
Dice Coefficient ◽  
Enhanced Mri ◽  
The Neural Network ◽  
Liver Volumetry ◽  
Phase Images ◽  
Mri Scans

Purpose To create a fully automated, reliable, and fast segmentation tool for Gd-EOB-DTPA-enhanced MRI scans using deep learning. Materials and Methods Datasets of Gd-EOB-DTPA-enhanced liver MR images of 100 patients were assembled. Ground truth segmentation of the hepatobiliary phase images was performed manually. Automatic image segmentation was achieved with a deep convolutional neural network. Results Our neural network achieves an intraclass correlation coefficient (ICC) of 0.987, a Sørensen–Dice coefficient of 96.7 ± 1.9 % (mean ± std), an overlap of 92 ± 3.5 %, and a Hausdorff distance of 24.9 ± 14.7 mm compared with two expert readers who corresponded to an ICC of 0.973, a Sørensen–Dice coefficient of 95.2 ± 2.8 %, and an overlap of 90.9 ± 4.9 %. A second human reader achieved a Sørensen–Dice coefficient of 95 % on a subset of the test set. Conclusion Our study introduces a fully automated liver volumetry scheme for Gd-EOB-DTPA-enhanced MR imaging. The neural network achieves competitive concordance with the ground truth regarding ICC, Sørensen–Dice, and overlap compared with manual segmentation. The neural network performs the task in just 60 seconds. Key Points:  Citation Format

Gadolinium-enhanced preoperative MRI scans as a prognostic parameter in scaphoid nonunion

2010 ◽  
Vol 36 (1) ◽  
pp. 23-28 ◽  
Author(s):  
K. Megerle ◽  
H. Worg ◽  
G. Christopoulos ◽  
R. Schmitt ◽  
H. Krimmer
Keyword(s):  
Screw Fixation ◽  
Proximal Fragment ◽  
Scaphoid Nonunion ◽  
Mri Scan ◽  
Intraoperative Bleeding ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Mri Scans ◽  
Scaphoid Reconstruction ◽  
Contrast Enhanced Mri

The purpose of this prospective study was to correlate preoperative gadolinium-enhanced MRI scans with intraoperative bleeding of the proximal fragment and postoperative union in a series of consecutive patients with established scaphoid nonunions. In 60 patients (6 females, 54 males) with a mean age of 29 years, scaphoid perfusion was judged preoperatively as normal, impaired or absent using a gadolinium-enhanced MRI scan. Scaphoid reconstruction was performed using a nonvascularized bone graft and screw fixation. Perfusion of the proximal fragment was assessed intraoperatively in 49 of 60 patients; compromised or absent vascularity was predicted with a specificity of 90% by contrast-enhanced MRI. However, there was no significant correlation between preoperative MRI assessment of vascularity and subsequent union of the scaphoid.

Effect of Lapatinib on Hepatic Parenchymal Enhancement on Gadoxetate Disodium (EOB)-Enhanced MRI Scans

2011 ◽  
Vol 35 (3) ◽  
pp. 351-352 ◽  
Author(s):  
Yuko Nakamura ◽  
Shuji Date ◽  
Naoyuki Toyota ◽  
Chihiro Tani ◽  
Yukiko Honda ◽  
...  
Keyword(s):  
Gadoxetate Disodium ◽  
Enhanced Mri ◽  
Mri Scans ◽  
Parenchymal Enhancement

scholarly journals Comparison of contrast-enhanced MRI features of the (teno)synovium in the wrist of patients with juvenile idiopathic arthritis and pediatric controls

2021 ◽  
Author(s):  
Jeffrey M. A. van der Krogt ◽  
F. Verkuil ◽  
E. Charlotte van Gulik ◽  
Robert Hemke ◽  
J. Merlijn van den Berg ◽  
...  
Keyword(s):  
Juvenile Idiopathic Arthritis ◽  
Clinical Signs ◽  
Joint Inflammation ◽  
Enhanced Mri ◽  
Mri Features ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Mri Scans ◽  
Magnetic Resonance Imaging Mri ◽  
Contrast Enhanced Mri

AbstractTo directly compare and describe the differences between juvenile idiopathic arthritis (JIA) patients and pediatric controls regarding features of the synovial and tenosynovial membrane on contrast-enhanced magnetic resonance imaging (MRI) of the wrist. T1-weighted contrast-enhanced MRI scans of 25 JIA patients with clinically active wrist arthritis and 25 children without a history of joint complaints nor any clinical signs of joint inflammation were evaluated by two readers blinded to clinical data. The synovium was scored at five anatomical sites based on thickening of the synovium (0–3 scale) and synovial enhancement (0–2 scale). Thickening and/or enhancement of the tenosynovium was scored at four anatomical sites using a 0–3 scale. Significantly higher scores for synovial thickening (median 4 vs. 1, p < 0.001) and synovial enhancement (median 4 vs. 1, p < 0.001) are found in the wrist of JIA patients as compared to controls. JIA patients experienced the highest synovial scores at the mid-/inter-carpal, 2nd –5th carpometacarpal, and radiocarpal joints. No significant difference in tenosynovial scores is found between both groups (median 0 vs. 0, p = 0.220). This study highlights the higher synovial thickening/enhancement scores on contrast-enhanced MRI of the wrist in JIA patients compared to pediatric controls. Tenosynovial thickening and/or enhancement was rarely present in both groups. In JIA patients, synovial thickening and enhancement were particularly present at three anatomical sites. These results substantially support rheumatologists and radiologists when navigating through MRI of the wrist in search for JIA disease activity.

scholarly journals Cerebrospinal Fluid Analysis Predicts Enhancement on MRI in Bacterial and Tuberculous Meningitis: A Retrospective Observational Study

2021 ◽  
Author(s):  
Ryoji Goto ◽  
Yurino Horiuchi ◽  
Haruka Kawakami ◽  
Ayaka Chikada ◽  
Tsutomu Yasuda ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Tuberculous Meningitis ◽  
Mri Findings ◽  
Fluid Analysis ◽  
Csf Analysis ◽  
Enhanced Mri ◽  
Contrast Enhanced ◽  
Discriminant Ability ◽  
Mri Scans ◽  
Contrast Enhanced Mri

Abstract Background Along with cerebrospinal fluid (CSF) analysis, enhancement on contrast-enhanced MRI scans are useful to diagnose and presume the pathogen of meningitis. However, the conditions for its appearance have not been clarified. This study aimed to investigate the possibility of CSF parameters as predictors of the existence of enhancement on contrast-enhanced head or spinal MRI scans in patients with bacterial meningitis (BM) or tuberculous meningitis (TM).Methods A total of 12 patients with BM and 23 patients with TM who underwent both CSF analyses and contrast-enhanced MRI scans were included in this study. The correlation between CSF analyses and MRI findings has been examined using receiver operating characteristic (ROC) analysis.Results Contrast enhancement was found in 7 and 10 patients with BM and TM, respectively. In patients with BM, higher CSF protein and lower CSF glucose were associated with the presence of the enhancement on MRI, while the CSF leukocyte or neutrocyte count did not show any difference. In contrast, not only the CSF protein and glucose but also the leukocyte and lymphocyte counts were associated with the enhancement in patients with TM. Furthermore, CSF adenosine deaminase (ADA) in patients with TM showed neither correlation with CSF leukocyte count nor discriminant ability of the MRI findings.Conclusions CSF analysis predicts the existence of enhancement on contrast-enhanced MRI scans of the central nervous system both in patients with BM and those with TM. Our findings about the CSF cell count and CSF ADA indicate the mechanism of the blood–brain barrier (BBB) breakdown in BM and TM.

scholarly journals Enhancement of Ovarian Malignancy on Clinical Contrast Enhanced MRI Studies

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Harpreet K. Pannu ◽  
Weining Ma ◽  
Emily Craig Zabor ◽  
Chaya S. Moskowitz ◽  
Richard R. Barakat ◽  
...  
Keyword(s):  
Statistical Significance ◽  
Serous Carcinoma ◽  
High Grade ◽  
Borderline Tumors ◽  
Enhanced Mri ◽  
Mri Studies ◽  
Contrast Enhanced ◽  
Significant Difference ◽  
Mri Scans ◽  
Contrast Enhanced Mri

Purpose. To assess if there is a significant difference in enhancement of high grade serous carcinoma of the ovary compared with other ovarian malignancies on clinically performed contrast enhanced MRI studies. Methods. In this institutional-review–board-approved study, two radiologists reviewed contrast enhanced MRI scans in 37 patients with ovarian cancer. Readers measured the signal intensity (SI) of ovarian mass and gluteal fat pre- and postcontrast administration. Percentage enhancement (PE) was calculated as [(post-pre)/precontrast SI] × 100. Results. Pathology revealed 19 patients with unilateral and 18 patients with bilateral malignancies for a total of 55 malignant ovaries-high grade serous carcinoma in 25/55 ovaries (45%), other epithelial carcinomas in 12 ovaries (22%), nonepithelial cancers in 8 ovaries (14%), and borderline tumors in 10 ovaries (18%). Enhancement of high grade serous carcinoma was not significantly different from other invasive ovarian malignancies (Reader 1 ; Reader 2 ). Enhancement of invasive ovarian malignancies was more than borderline tumors but did not reach statistical significance (Reader 1; Reader 2 ). Conclusion. On clinically performed contrast enhanced MRI studies, enhancement of high grade serous ovarian carcinoma is not significantly different from other ovarian malignancies.

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