Magnetic Resonance Imaging of Intracranial Neoplasms at 0.02 Tesla

1987 ◽  
Vol 28 (4) ◽  
pp. 369-373 ◽  
Author(s):  
M. Kormano ◽  
R. Raininko ◽  
K. Katevuo
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Spatial Resolution ◽  
Pituitary Adenomas ◽  
Normal Brain ◽  
Resonance Imaging ◽  
Mr Images ◽  
Normal Brain Tissue ◽  
Intracranial Neoplasms ◽  
Ct Finding

Sixty-five patients with single or multiple intracranial neoplasms were examined with an MR imager operating at 0.02 tesla. In 56 patients the diagnosis was histologically confirmed. All patients had an abnormal CT finding. MR images were positive in 59 cases, while the lesion remained undetected or equivocal in 6 cases (2 pituitary adenomas and 4 meningiomas). The MR signal intensity of several meningiomas was equal to that of normal brain tissue. Some astrocytomas were better delineated on MRI than on CT. For the study of pituitary lesions, the spatial resolution was unsatisfactory. The ultralow field MR imager was found to be sensitive for the detection of other intracranial neoplasms.

1H Magnetic Resonance Imaging of Normal Brain Tissue Response to Photodynamic Therapy

Neurosurgery ◽  
1991 ◽  
Vol 29 (4) ◽  
pp. 538-543 ◽  
Author(s):  
Quan Jiang ◽  
Robert A. Knight ◽  
Michael Chopp ◽  
J. A. Helpern ◽  
Roger J. Ordidge ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Photodynamic Therapy ◽  
Magnetic Resonance ◽  
Brain Tissue ◽  
Tissue Response ◽  
Normal Brain ◽  
Resonance Imaging ◽  
Normal Brain Tissue

Magnetic resonance imaging findings and its association to electroencephalogram in children with partial epilepsy (Preprint)

2020 ◽  
Author(s):  
Huynh Quang Huy
Keyword(s):  
Magnetic Resonance Imaging ◽  
Preschool Children ◽  
Magnetic Resonance ◽  
Brain Mri ◽  
Partial Epilepsy ◽  
Small Sample ◽  
Normal Brain ◽  
Resonance Imaging ◽  
Normal Children ◽  
Eeg Abnormalities

BACKGROUND It is important to identify the neuroimaging features that are associated with partial epilepsy in preschool children. Advances in technology recently to localize focal epileptogenic lesions, especially that of high-resolution structural imaging with magnetic resonance imaging (MRI). The recommendation that electroencephalography (EEG) should be gold criteria and that M.R.I should be optional has been questioned. OBJECTIVE The present study aims to to explore the brain lesions on MRI and its association to electroencephalogram in children with partial epilepsy. METHODS The present study was conducted among 112 preschool children with history of partial seizures. All patients underwent EEG and brain MRI. The epileptogenic lesions were identified on the basis of the signal intensities and morphological abnormalities seen on MRI. The correlation between MRI and EEG abnormalities was explored using a chi-square test. RESULTS Abnormal MRI were found in 34.8% (n = 39) of the sample. The EEG and MRI agreed with respect to classify into abnormal or normal in 48.2% (n = 54). Of the 27 patients with a normal EEG, six (22.2%) were seen to have an abnormal MRI. CONCLUSIONS A number of MRI abnormalities was found in our study of otherwise normal children, although the correlation between these results was not clear. Follow-up of these children will help us identify the important abnormalities. Despite of small sample, our results showed that a normal E.E.G findings does not predict a normal brain MRI in children with partial epilepsy.

Magnetic resonance imaging of the normal brain in a newborn dromedary camel

2004 ◽  
Vol 168 (3) ◽  
pp. 353-357 ◽  
Author(s):  
Alberto Arencibia ◽  
Miguel A. Rivero ◽  
Juan A. Ramı́rez ◽  
Francisco Gil ◽  
Carlos Gutierrez ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Dromedary Camel ◽  
Normal Brain ◽  
Resonance Imaging

Optimization of T2-weighted imaging for shoulder magnetic resonance arthrography by synthetic magnetic resonance imaging

2017 ◽  
Vol 59 (8) ◽  
pp. 959-965
Author(s):  
Seung Hyun Lee ◽  
Young Han Lee ◽  
Seok Hahn ◽  
Jaemoon Yang ◽  
Ho-Taek Song ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Supraspinatus Tendon ◽  
Joint Fluid ◽  
Resonance Imaging ◽  
Mr Images ◽  
Diagnostic Agreement ◽  
Tissue Contrast ◽  
Synthetic Images ◽  
Synthetic Mri

Background Synthetic magnetic resonance imaging (MRI) allows reformatting of various synthetic images by adjustment of scanning parameters such as repetition time (TR) and echo time (TE). Optimized MR images can be reformatted from T1, T2, and proton density (PD) values to achieve maximum tissue contrast between joint fluid and adjacent soft tissue. Purpose To demonstrate the method for optimization of TR and TE by synthetic MRI and to validate the optimized images by comparison with conventional shoulder MR arthrography (MRA) images. Material and Methods Thirty-seven shoulder MRA images acquired by synthetic MRI were retrospectively evaluated for PD, T1, and T2 values at the joint fluid and glenoid labrum. Differences in signal intensity between the fluid and labrum were observed between TR of 500–6000 ms and TE of 80–300 ms in T2-weighted (T2W) images. Conventional T2W and synthetic images were analyzed for diagnostic agreement of supraspinatus tendon abnormalities (kappa statistics) and image quality scores (one-way analysis of variance with post-hoc analysis). Results Optimized mean values of TR and TE were 2724.7 ± 1634.7 and 80.1 ± 0.4, respectively. Diagnostic agreement for supraspinatus tendon abnormalities between conventional and synthetic MR images was excellent (κ = 0.882). The mean image quality score of the joint space in optimized synthetic images was significantly higher compared with those in conventional and synthetic images (2.861 ± 0.351 vs. 2.556 ± 0.607 vs. 2.750 ± 0.439; P < 0.05). Conclusion Synthetic MRI with optimized TR and TE for shoulder MRA enables optimization of soft-tissue contrast.

scholarly journals Perfusion Magnetic Resonance Imaging to Assess Brain Tumor Responses to New Therapies

1998 ◽  
Vol 5 (2) ◽  
pp. 115-123 ◽  
Author(s):  
Michael H. Lev ◽  
Fred Hochberg
Keyword(s):  
Magnetic Resonance Imaging ◽  
Brain Tumor ◽  
Magnetic Resonance ◽  
Imaging Techniques ◽  
Perfusion Mri ◽  
Perfusion Magnetic Resonance Imaging ◽  
Normal Brain ◽  
Resonance Imaging ◽  
New Therapies ◽  
Magnetic Resonance Imaging Mri

Background: Although magnetic resonance imaging (MRI) is effective in detecting the location of intracranial tumors, new imaging techniques have been studied that may enhance the specificity for the prediction of histologic grade of tumor and for the distinction between recurrence and tumor necrosis associated with cancer therapy. Methods: The authors review their experience and that of others on the use of perfusion magnetic resonance imaging to evaluate responses of brain tumors to new therapies. Results: Functional imaging techniques that can distinguish tumor from normal brain tissue using physiological parameters. These new approaches provide maps of tumor perfusion to monitor the effects of novel compounds that restrict tumor angiogenesis. Conclusions: Perfusion MRI not only may be as effective as radionuclide-based techniques in sensitivity and specificity in assessing brain tumor responses to new therapies, but also may offer higher resolution and convenient co-registration with conventional MRI, as well as time- and cost-effectiveness. Further study is needed to determine the role of perfusion MRI in assessing brain tumor responses to new therapies.

scholarly journals Intraparenchymal extravasation of gadolinium mimicking an enhancing brain tumor

2019 ◽  
Vol 32 (4) ◽  
pp. 273-276 ◽  
Author(s):  
David J Ritchie ◽  
Charles Q Li ◽  
Reid Hoshide ◽  
Daniel Vinocur
Keyword(s):  
Magnetic Resonance Imaging ◽  
Brain Tumor ◽  
Magnetic Resonance ◽  
Pediatric Patient ◽  
Essential Role ◽  
Accurate Diagnosis ◽  
Resonance Imaging ◽  
Intracranial Neoplasms ◽  
Vascular Abnormalities ◽  
First Case

Gadolinium (Gd)-enhanced magnetic resonance imaging plays an essential role in the detection, characterization, and staging of intracranial neoplasms and vascular abnormalities. Although Gd is helpful in a majority of situations, it can lead to diagnostic misinterpretation in the setting of active vascular extravasation. Scarce reports of intracranial extravasation of Gd are present in the literature. Here, we report the first case of surgically proven spontaneous intraparenchymal extravasation of Gd mimicking an enhancing intra-axial neoplasm in a pediatric patient. Early and accurate recognition of Gd extravasation is critical in obtaining the accurate diagnosis and triaging patients expeditiously into proper avenues of care.

scholarly journals Prognostic value of magnetic resonance imaging features in low-grade gliomas

2019 ◽  
Vol 39 (6) ◽  
Author(s):  
Liang Deng ◽  
Liangfang Shen ◽  
Lin Shen ◽  
Zhao Zhao ◽  
Yingpeng Peng ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Multivariate Analysis ◽  
Magnetic Resonance ◽  
Low Grade ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Mr Images ◽  
Low Grade Gliomas ◽  
Kaplan Meier ◽  
Mri Features

AbstractIntroduction: The treatment strategy for low-grade gliomas (LGGs) is still controversial, and there are no standardized criteria to predict the prognosis of patients with LGGs. Magnetic resonance imaging (MRI) is a routine test for preoperative diagnosis for LGG and can reflect the destructive features for the tumor. In the present study, we aimed to explore the relationship between the MRI features and prognosis in patients with LGG.Methods: Clinical data of 80 patients with pathologically proved LGGs between January 2010 and December 2016 were analyzed retrospectively. MRI features were classified as contrast enhancement pattern (focal enhancement, diffuse enhancement and ring-like enhancement), necrosis and cysts based on the preoperative MR images. Kaplan–Meier method and multivariate analysis were performed on the data by SPSS software to explore the prognostic significance of MRI features.Results: Patients with cystic LGG had a significantly longer 5-year progression-free survival (PFS) than that with no cyst (90.9 ± 8.7 vs 65.7 ± 9.1%, P=0.045). Multivariate analysis further verified cyst as an independent prognosis factor for PFS (P=0.027, hazard ratio [HR] = 0.084). Additionally, patients with ring-like enhancement exhibited significantly longer 5-year PFS time in the Kaplan–Meier survival curves (100 vs 67.2 ± 7.7%, P=0.049). There was no significant difference in PFS and overall survival (OS) between patients with or without necrosis.Conclusion: Our study suggests that cyst formation and ring-like enhancement on preoperative MR images can be useful to predict a favorable prognosis in patients with LGGs.

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