Dissertation > Excellent graduate degree dissertation topics show

Research the 3.0T MRI Features, Diagnosis Value and Optimization of MRI Diagnostic Indicators about Breast Cancer

Author: JiangZhongBiao
Tutor: WangYunHua
School: Central South University
Course: Medical Imaging and Nuclear Medicine
Keywords: Breast Cancer Magnetic resonance imaging Adjacent tissues Optimization program
CLC: R737.9
Type: Master's thesis
Year: 2011
Downloads: 60
Quote: 0
Read: Download Dissertation

Abstract

The purpose of: (1) investigate the breast cancer 3. OT MRI dynamic contrast-enhanced scan, DWI, MRS characteristic and diagnostic value. (2) to explore the 3. OT MRI check breast tumor tissue T2WI signal characteristics and its pathological mechanism. (3) study the OT MRI examination adjacent tissues in the breast cancer the ADC values ??changed its extent and scope of the assessed value of the cancer tissue surrounding invasive growth. (4) The preferred breast cancer 3. OT MRI diagnostic indicators and explore the best MRI examination program. Methods: 25 cases of breast cancer cases, and another 15 cases of benign breast tumor patients as a control group, the group all patients line 3 OT MRI examination, including T1WI, fat suppression T2WI, DWI, MRS and dynamic contrast-enhanced sequence imaging analysis T1WI, T2WI signal characteristics of fat suppression; analyze the signal characteristics of DWI and ADC mapping and measuring b = 500s/mm2 b = the size of the ADC value when 1000s/mm2 cancer tissue and cancer tissue and the control group normal side breast control analysis; early enhancement ratio analysis of dynamic contrast-enhanced sequence checking and dynamic enhancement curve characteristics; characteristics analysis of MRS check choline peaks; All indicators on the MRI examination method Logistic regression analysis, preferably MRI examination the diagnosis indicators as the basis for optimizing breast MRI examination program. Results: (1) The results showed that the tumor edge spiculation tumor boundary is unclear or rough, tumor heterogeneous enhancement or peripheral enhancement SIR ≥ 90%, the performance of the TIC type Ⅰ or type Ⅱ, when b value 500s / mm2, breast lesions ADC value of less than 1.281 × 10-3mm2 / s, or when the b value 1000s/mm2 breast lesions ADC value less than 1.149 × 10-3mm2 / s, and the MRS checks at 3.22ppm abnormal increased choline peak signs with better sensitivity, specificity, and accuracy of the diagnosis of breast cancer. (2) fat suppression T2WI 48% of breast cancer patients whose cancer was higher signal, 48% showed signal; benign lesions, 75% showed a high signal, 25% showed signal. (3) The rate of early enhancement of the sensitivity of the diagnosis of breast cancer was 72%, specificity of 75%, an accuracy rate of 73.4%; using DCE-MRI the TIC curve type of breast cancer diagnosis a sensitivity of 92%, specificity degree of 65%, 80% accuracy rate. (4) ADC value of breast tumor tissue in the same b value was significantly less than the ADC value of benign lesions; benign and malignant breast lesions ADC value b value increases is decreasing; breast lumps around less than 1cm organizations; peritumoral organizations ADC value less than benign lesions adjacent to the tumor in the breast cancer patients in cancer tissue and cancer tissue and contralateral normal breast tissue ADC values ??were statistically significant differences; b value of 500s/mm2 when identify benign and malignant breast lesions ADC value of 1.281 × 10-3mm2 / s profession the b value 1000s/mm2 when the best ADC circles of identification of benign and malignant breast lesions is 1.149 × 10-3mm2 / s. (5) 1H MRS of breast cancer diagnostic sensitivity, specificity and accuracy of 24%, 95% and 55.6%, respectively. (6) All indicators on the MRI examination method Logistic regression analysis showed that the higher value of the diagnosis of breast cancer signs of the mass of the edge, dynamic enhancement curve type and b value = 500s/mm2, lesion ADC value as the basis for preliminary optimization MRI examination of patients with breast cancer. Conclusion: (1) the tumor margin spiculation tumor boundary is unclear or rough, heterogeneous enhancement of tumor or peripheral enhancement, SIR gt; 90% TIC type performance Ⅰ or type Ⅱ, when the b value 500s/mm2 , the breast lesions ADC value less than 1.281 × 10-3mm2 / s, or abnormally high levels of bile when the b value 1000s/m2 breast lesions ADC value less than 1.149 × 10-3mm2 / s, and the MRS check 3.22ppm at base peak, the breast MRI characteristic performance, has better clinical value for the diagnosis of breast cancer. (2) breast cancer in high or signal on T2WI main. (3) breast cancer within weeks 1cm cancer tissue ADC value of detection to diagnosis of breast cancer and cancer tissue to the surrounding infiltration or play a role in the degree of infiltration and the scope of the assessment. (4) The research results show that the higher value of the diagnosis of breast cancer diagnostic indicators is the edge of the mass, dynamic enhancement curve type and b value = 500s/mm2, lesion ADC value; proposed conventional MRI plain and dynamic contrast-enhanced scan DWI is a good screening program, the MRS only as a supplementary examination in the diagnosis difficult.

Research the 3.0T MRI Features, Diagnosis Value and Optimization of MRI Diagnostic Indicators about Breast Cancer

Abstract

Related Dissertations