Towards the Complete Characterization of Myocardial Infarcts by Magnetic Resonance Imaging

2009 ◽  
Vol 62 (8) ◽  
pp. 847-850
Author(s):  
Javier Sanz
2012 ◽  
Vol 44 (20) ◽  
pp. 992-1002 ◽  
Author(s):  
Brian J. Nieman ◽  
Marissa C. Blank ◽  
Brian B. Roman ◽  
R. Mark Henkelman ◽  
Kathleen J. Millen

The mammalian brain and skull develop concurrently in a coordinated manner, consistently producing a brain and skull that fit tightly together. It is common that abnormalities in one are associated with related abnormalities in the other. However, this is not always the case. A complete characterization of the relationship between brain and skull phenotypes is necessary to understand the mechanisms that cause them to be coordinated or divergent and to provide perspective on the potential diagnostic or prognostic significance of brain and skull phenotypes. We demonstrate the combined use of magnetic resonance imaging and microcomputed tomography for analysis of brain and skull phenotypes in the mouse. Co-registration of brain and skull images allows comparison of the relationship between phenotypes in the brain and those in the skull. We observe a close fit between the brain and skull of two genetic mouse models that both show abnormal brain and skull phenotypes. Application of these three-dimensional image analyses in a broader range of mouse mutants will provide a map of the relationships between brain and skull phenotypes generally and allow characterization of patterns of similarities and differences.


Circulation ◽  
2000 ◽  
Vol 102 (6) ◽  
pp. 698-705 ◽  
Author(s):  
Albert C. Lardo ◽  
Elliot R. McVeigh ◽  
Pitayadet Jumrussirikul ◽  
Ronald D. Berger ◽  
Hugh Calkins ◽  
...  

2005 ◽  
Vol 16 (1-3) ◽  
pp. 20-26 ◽  
Author(s):  
Michal T. Krauze ◽  
Tracy R. Mcknight ◽  
Yoji Yamashita ◽  
John Bringas ◽  
Charles O. Noble ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e109872 ◽  
Author(s):  
Manoj Kumar ◽  
Jeffery T. Duda ◽  
Wei-Ting Hwang ◽  
Charles Kenworthy ◽  
Ranjit Ittyerah ◽  
...  

2021 ◽  
Vol 8 (26) ◽  
pp. 2253-2259
Author(s):  
Mohit B. Gor ◽  
Kuldeepsinh D. Mori ◽  
Mehul N. Bavishi ◽  
Nirmala C. Chudasama ◽  
Jaypalsinh D. Barad ◽  
...  

BACKGROUND Brain tumours represents 1.7 % of all cancers and contributes 1.8 % of all cancer deaths. Of all the brain tumours, 80 % are supratentorial.1 Magnetic resonance imaging (MRI) is an important modality, having higher sensitivity for detecting intracranial pathology. Multiplanar imaging is possible with MRI which helps in detection, localization and characterization of the lesion. MRI examination has helped in early diagnosis, accurate localization of the tumour, with prompt initiation of appropriate medical or surgical therapy. Recent advances like magnetic resonance (MR) spectroscopy, MR fluoroscopy with stereotactic guided biopsy have revolutionized the role of MRI in study of intracranial tumours. METHODS A cross sectional study of 75 patients was done by Siemens Essenza 1.5T MRI from June 2018 to June 2020 using dedicated head coil. RESULTS In our study, most of the patients were between 31 - 60 years of age (39 % of all patients) with the largest group between 31 - 40 years (20 % of all patients). Out of 75 cases of supratentorial neoplasms, 47 (72 %) were intra-axial lesions, 15 (23 %) were extra-axial lesions and 3 (5 %) were intra ventricular lesions. In this study, 69 % of the lesions were solitary and 31 % were multiple. Most of patients (89 %) showed some enhancement, most common being heterogeneous/inhomogeneous enhancement. Commonest type of supratentorial neoplasms were metastases comprising 29 % of this study. CONCLUSIONS Magnetic resonance imaging is an important modality, having higher sensitivity for detecting intracranial pathology. Multiplanar imaging is possible with MRI which helps in early detection, localization and characterization of the lesion. Metastasis is the most common supratentorial tumour in this study followed by meningioma. Intra-axial tumours are more common than extra-axial tumours in this study. KEYWORDS MRI, Metastasis, Glioma, Meningioma


2016 ◽  
Vol 44 (3) ◽  
pp. 373-381 ◽  
Author(s):  
Emily Hammond ◽  
John D. Newell ◽  
Samantha K. N. Dilger ◽  
Nicholas Stoyles ◽  
John Morgan ◽  
...  

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