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Objective To investigate the strengths and weaknesses of SPAIR and WE in iShim-IVIM of breast gland MRI scanning. Methods Twenty patients with breast tumor underwent iShim-IVIM and DCE-MRI scanning by SPAIR and WE technology. SNR ,CNR and ADC of the SPAIR-iShim and WE-iShim imaging were cal-culated and imaging quality were evaluated. Statistical analysis was done afterwards. Results The SNR and CNR of WE technology is higher than those of SPAIR statistically (P<0.05). There is no significant statistical differ-ence in score of the images between SPAIR and WE(P>0.05). The ADC of the center of the tumor has no signifi-cant statistical difference between SPAIR and WE(P>0.05). Conclusion The quality of the images using WE is significantly improved than SPAIR ,but both of them can meet the diagnostic requirements ,and the ADC has no statistical difference as well.
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Objective To investigate the strengths and weaknesses of SPAIR and WE in iShim-IVIM of breast gland MRI scanning. Methods Twenty patients with breast tumor underwent iShim-IVIM and DCE-MRI scanning by SPAIR and WE technology. SNR ,CNR and ADC of the SPAIR-iShim and WE-iShim imaging were cal-culated and imaging quality were evaluated. Statistical analysis was done afterwards. Results The SNR and CNR of WE technology is higher than those of SPAIR statistically (P<0.05). There is no significant statistical differ-ence in score of the images between SPAIR and WE(P>0.05). The ADC of the center of the tumor has no signifi-cant statistical difference between SPAIR and WE(P>0.05). Conclusion The quality of the images using WE is significantly improved than SPAIR ,but both of them can meet the diagnostic requirements ,and the ADC has no statistical difference as well.
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Objective To investigate CT and MRI imaging of Warthin tumor of parotid gland.Methods CT and MRI character-istics of 5 1 patients confirmed as Warthin tumor by operation and pathology were analyzed retrospectively.Results Among 5 1 cases, 43 patients were males,and 8 patients were females.A total of 84 lesions were found in all cases,20 cases had at least 2 lesions.The margins of lesions were well-defined.68 lesions were round or elliptical.45 lesions located in the posterior and inferior quadrant of the parotid gland completely or premodinantly.The density and signal of most lesions were homogeneous.The parenchymal area of most lesions showed an early moderate-remarkable enhancement.Small blood vessels surrounded the lesions in 1 9 cases.Conclusion CT and MRI are important and valuable for the diagnosis of Warthin tumor.
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Objective To determine whether the different pathological types of astrocytic tumours can be differentiated by diffusion tensor MR imaging. Methods In this study, diffusion tensor MR imaging was performed preoperatively in 67 patients with different pathological types of astrocytic tumours. Furthermore , T1WI, T2WI, FLAIR and T1WI enhancement scanning by GD-DTPA were performed preoperatively in all patients. The Mean diffusivity (ADC) values in the tumor parenchyma and normal white matter from different pathological types of astrocytic tumours were measured and analyzed. The ADC with the tumor parenchyma and normal white matter from the tumours were statistically analyzed by SPSS 19.0. The results were expressed as ± s and P < 0.05 was regarded as statistically significant differences. Results There were many differences with ADC (< 10-9 mm2/s) in the tumor parenchyma between fibrillary astrocytoma (1.48 ± 0.12、0.72 ± 0.05) from fat cell astrocytoma (1.31 ± 0.07, 0.69 ± 0.03), There were also many differences with ADC ( < 10-9 mm2/s) in the tumor parenchyma between fibrillary and fat cell astrocytoma from anaplastic astrocytoma (1.06 ± 0.11, 0.71 ± 0.04) and giant cell glioblastoma (0.98 ± 0.09, 0.73 ± 0.04). There were not differences with ADC in the tumor parenchyma between anaplastic astrocytoma from giant cell gliobastona. Conclusion Measurement of tumor parenchyma′s ADC values can identify different pathological types of astrocytic tumours , but not between anaplastic astrocytoma and giant cell glioblastoma. DTI is essential to preoperative evalution of astrocytic tumours.
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Objective To let students grasp comprehensive applied knowledge and the new development.Methods A special website was set up based on the traditional teaching.Results The special website could provide students with a quick,convenient and modern technology resource library.Conclusion The website can effectively help students consolidate and deepen the study of basic theory and technology of medical imaging equipment,and broaden their knowledge.
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Objective To design a set of long bone and bone-mode auto-matching system which is based on computer image processing technology.Methods Through the analysis on clinical pictures and image data,we got the exact data.Based on these data,the system searched out the bone-mode from the bone-mode database which matched with the skeletal.Results It can find a suitable bone-mode which can match with the bone in a very short time.Conclusion The system improves the efficiency of matching,as well as the success rate.It reduces the surgery time and the suffering of patents.