医学
列线图
四分位间距
单变量
放射科
逻辑回归
单变量分析
麦克内马尔试验
精确检验
多元分析
曼惠特尼U检验
阶段(地层学)
多元统计
接收机工作特性
逐步回归
Lasso(编程语言)
内科学
计算机科学
统计
万维网
古生物学
数学
生物
作者
Jian Zhao,Wei Zhang,Yuan‐Yi Zhu,Hao‐Yu Zheng,Li Xu,Jun Zhang,Si‐Yun Liu,Fu‐Yu Li,Bin Song
摘要
BACKGROUND: Cholangiocarcinoma is a type of hepatobiliary tumor. For perihilar cholangiocarcinoma (pCCA), patients who experience early recurrence (ER) have a poor prognosis. Preoperative accurate prediction of postoperative ER can avoid unnecessary operation; however, prediction is challenging. PURPOSE: To develop a novel signature based on clinical and/or MRI radiomics features of pCCA to preoperatively predict ER. STUDY TYPE: Retrospective. POPULATION: One hundred eighty-four patients (median age, 61.0 years; interquartile range: 53.0-66.8 years) including 115 men and 69 women. FIELD STRENGTH/SEQUENCE: A 1.5 T; volumetric interpolated breath-hold examination (VIBE) sequence. ASSESSMENT: ). STATISTICAL TESTS: ) test or Fisher's exact test, Mann-Whitney U-test or t-test, Delong test. Two tailed P < 0.05 was considered statistically significant. RESULTS: (P = 0.156 for training set and P = 0.439 for testing set). DATA CONCLUSION: A noninvasive model combining the MRI-based radiomics signature and clinical variables is potential to preoperatively predict ER for pCCA. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 4.
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