Contrast-Enhancement for Eight-Cut Computed Tomography Imaging Confirmed the Reorganization Assessment for in Breast Cancer Patients

• Main Authors: HUANG,SHU-MEI, 黃淑梅
• Other Authors: LIN,JAO-PERNG
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/24524347905664622111

碩士 === 元培醫事科技大學 === 醫學影像暨放射技術系碩士在職專班 === 104 === Breast cancer is the most common type of cancer, despite advances in mammography technology, using the latest equipment to mammography screening for breast, still have not found a quarter in malignant breast tumors among women in general Moreover, awareness of breast cancer and fear because do not know enough about mammography can lead to pain, so many women put off without inspection. Therefore, the Ministry of Health and Welfare National Health Department to actively promote women aged 45-69 in need of a mammogram, early treatment can effectively reduce the number of people diagnosed with breast cancer. The study collected HHS National Health Department to promote women aged 45-69, due to breast screening diagnosis of breast cancer diagnosed in women's track back to the clinic as a research object, and with the hospital breast specialist Executive Vice President Xie and surgeons , diagnostic radiology interpretation specialist, yuan Pei Medical Dalin trick expansion Professor cross team collected back to the clinic diagnosed with breast cancer women track of, with eight cut computed tomography and do contrast-enhanced images restructuring, using SPSS 17th edition of the density curve statistical analysis of experimental methods and results achieved. Prior to the experimental group of 30 patients collected from suspected malignant breast tumor to fight drugs, the image density (HU) on the computer after the screen data do SPSS17 statistical classification and analysis made into a chart to prove before the fight drugs, after contrast agent aggregation test in the amount of newly generated blood vessels will affect the increases and decreases in density measurement data found in the dense breast malignant tumor contrast agent density image (HU) is significantly improved. In most cases, there is no contrast agent and the continued use of contrast enhancement applied to distinguish between malignant and benign lesions, benign and malignant lesions is more enhanced than many hope that this research can increase a physician diagnosis of breast cancer diagnosed in the interpretation of the right performance improved significantly.