学位论文详细信息
CT prediction of resectability and prognosis in patients with pancreatic cancer after neoadjuvant treatment using image findings and texture analysis | |
pancreatic adenocarcinoma;neoadjuvant therapy;resectability;texture analysis;610 | |
의과대학 의학과 ; | |
University:서울대학교 대학원 | |
关键词: pancreatic adenocarcinoma; neoadjuvant therapy; resectability; texture analysis; 610; | |
Others : http://s-space.snu.ac.kr/bitstream/10371/142324/1/000000151064.pdf | |
美国|英语 | |
来源: Seoul National University Open Repository | |
【 摘 要 】
entropy (HR 0.159, P=0.005) and GLCM entropy (HR 10.235, P=0.036).Conclusion: After neoadjuvant therapy, considering borderline as resectable tumor have better accuracy for R0 resectability, particularly in CCRT group and CT with texture analysis can be useful to predict patient’s outcome after neoadjuvant therapy in pancreatic cancer.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
CT prediction of resectability and prognosis in patients with pancreatic cancer after neoadjuvant treatment using image findings and texture analysis | 703KB | download |