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Clinical Values of Susceptibility Weighted Imaging in Brain Tumor

Author: MengFanBin
Tutor: LiKe;TangWeiJun
School: Fudan University
Course: Department of Radiology
Keywords: Susceptibility Weighted Imaging Magnetic resonance Normal people Brain Brain tumors Bleeding Border
CLC: R739.4
Type: Master's thesis
Year: 2009
Downloads: 96
Quote: 0
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Abstract


The first part of the normal brain susceptibility weighted imaging performance goal: to normal brain imaging using susceptibility weighted imaging (susceptibility weighted imaging, SWI), and the resulting image is compared with conventional MRI sequences to investigate the performance of normal brain SWI. MATERIALS AND METHODS: 5 healthy volunteers underwent routine MRI scan and SWI scan, both the magnitude and the phase diagram, image processing the GE companies workstation (AW4.1) of post after Functool The software processing, after low-pass filtering of the phase diagram, the phase mask of the amplitude applied to the image, the application of a thickness of 5-20mm, row minimum intensity projection (Minimum intensity projection, MinIP) reconstruction, to thereby obtain a SWI image, analyzes the image characteristics of SWI. Results: 5 cases volunteers get a clear image of SWI, with T1WI, T2WI and FLAIR images, the gray matter in the SWI image contrast clearly with FLAIR similar, cerebrospinal fluid signal suppression; MinIP reconstructed image clear brain vein image, the superficial veins of the brain performance of a thin line of low signal intensity distribution along the sulci, The the brain deep venous showed the basal ganglia area of ??the bar low signal; five cases SWI may show normal brain iron deposition, display symmetry black low signal, mainly in the basal ganglia and brain iron deposition in the cortex, show the distribution along the cortical ribbon low signal at the same time. Conclusion: Compared with the conventional sequence, SWI small veins and brain iron deposition is very sensitive and can clearly show the distribution site and content changes of the cerebral venous system and monitoring of normal human brain iron deposition. The clinical application of the second part of the susceptibility weighted imaging in brain tumor Objective: To investigate the susceptibility weighted imaging diagnostic value of brain tumors. Materials and Methods: gather confirmed from the 12 period from July 2008 to 2008, clinical pathology and imaging studies of 71 patients, including 20 cases of meningioma, 10 cases of astrocytoma, glioblastoma nine cases, 7 cases of cavernous hemangioma, metastases in 4 cases, ventricular ependymoma two cases, four cases of schwannoma, oligodendrocytes three cases of glioblastoma, 2 cases of pituitary tumors, craniopharyngioma one cases of medulloblastoma two cases of hemangiopericytoma 1 cases, 6 cases of cancer patients. All patients underwent conventional MRI Axial T2WI the T1WI, T2FLAIR plain and SWI scan, 41 cases of brain tumor patients before and after the line at the same time enhance the check. 35 patients plus sweep DWI sequence. Analysis the SWI image characteristics and evaluation of the SWI value in the diagnosis of brain tumors. Results: 65 cases of cancer patients, the the blood metabolites veins SWI is superior to other sequences (T1WI, T2WI, FLAIR, DWI and enhanced T1WI) (P <0.05), show the internal structure of SWI superior to T1WI T2WI, FLAIR and DWI (P <0.05), enhanced T1WI internal structure is superior to SWI (P = 0.0002). Boundary aspects SWI is superior to T1WI and DWI (P <0.05), and worse than T2WI, FLAIR and enhanced T1WI (P <0.05). Conclusion: SWI is a very sensitive bleeding and vein structure MRI imaging sequences, this group SWI larger value in the diagnosis of brain tumor lesions display inside the tumor more clearly than the existing sequence bleeding and vascular depiction of brain tumor boundary and internal structure of the display also has certain advantages. I believe that MRI hardware and software continues to improve, SWI technology will have broad application prospects, will become a good helper for people to diagnose brain tumors

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CLC: > Medicine, health > Oncology > Nervous system tumors
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