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| 1 | Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy显示文摘BACKGROUND Intraductal papillary mucinous neoplasms(IPMNs)are non-invasive pancreatic precursor lesions that can potentially develop into invasive pancreatic ductal adenocarcinoma.Currently,the International Consensus Guidelines(ICG)for IPMNs provides the basis for evaluating suspected IPMNs on computed tomography(CT)imaging.Despite using the ICG,it remains challenging to accurately predict whether IPMNs harbor high grade or invasive disease which would warrant surgical resection.A supplementary quantitative radiological tool,radiomics,may improve diagnostic accuracy of radiological evaluation of IPMNs.We hypothesized that using CT whole lesion radiomics features in conjunction with the ICG could improve the diagnostic accuracy of predicting IPMN histology.AIM To evaluate whole lesion CT radiomic analysis of IPMNs for predicting malignant histology compared to International Consensus Guidelines.METHODS Fifty-one subjects who had pancreatic surgical resection at our institution with histology demonstrating IPMN and available preoperative CT imaging were included in this retrospective cohort.Whole lesion semi-automated segmentation was performed on each preoperative CT using Healthmyne software(Healthmyne,Madison,WI).Thirty-nine relevant radiomic features were extracted from each lesion on each available contrast phase.Univariate analysis of the 39 radiomics features was performed for each contrast phase and values were compared between malignant and benign IPMN groups using logistic regression.Conventional quantitative and qualitative CT measurements were also compared between groups,viaχ2(categorical)and Mann Whitney U(continuous)variables.RESULTS Twenty-nine subjects(15 males,age 71±9 years)with high grade or invasive tumor histology comprised the'malignant'cohort,while 22 subjects(11 males,age 70±7 years)with low grade tumor histology were included in the'benign'cohort.Radiomic analysis showed 18/39 precontrast,19/39 arterial phase,and 21/39 venous phase features differentiated malignant from benign IPMNs(P<0.05).Multivariate analysis including only ICG criteria yielded two significant variables:thickened and enhancing cyst wall and enhancing mural nodule<5 mm with an AUC(95%CI)of 0.817(0.709-0.926).Multivariable post contrast radiomics achieved an AUC(95%CI)of 0.87(0.767-0.974)for a model including arterial phase radiomics features and 0.834(0.716-0.953)for a model including venous phase radiomics features.Combined multivariable model including conventional variables and arterial phase radiomics features achieved an AUC(95%CI)of 0.93(0.85-1.0)with a 5-fold cross validation AUC of 0.90.CONCLUSION Multi-phase CT radiomics evaluation could play a role in improving predictive capability in diagnosing malignancy in IPMNs.Future larger studies may help determine the clinical significance of our findings. | Stuart L Polk Jung W Choi Melissa J McGettigan Trevor Rose Abraham Ahmed Jongphil Kim Kun Jiang Yoganand Balagurunathan Jin Qi Paola T Farah Alisha Rathi Jennifer B Permuth Daniel Jeong | 2020 | World Journal of Gastroenterology2020,26,24: | 5 |
| 2 | 一种房颤风险评分系统的建立(Framingham心脏研究):基于社区的队列研究显示文摘背景房颤导致了发病率和病死率的显著上升。本研究旨在建立一种预测个体罹患房颤绝对风险的风险评分系统,并提供研究人员评价新危险因素的流程。方法作者评估了Framingham心脏研究中于1968年6月至1987年9月间进行了8044次检测的4764例参与者(55%为女性,年龄45~95岁)。此后,参与者被随访至房颤首发,随访期最长达10年。多变量Coxi回归确认出1(1年内罹患房颤的临床危险因素。次级分析纳入了常规超声心动图检测指标(5152例4参与者,7156次检测)对房颤风险进行再分层评估,并评价超声检测指标能否提高风险预测能力。结果4764例参与者中的457例4(10%)罹患房颤。年龄、性别、体重指数、收缩压、降压治疗、PR间期、有临床意义的心脏杂音及心力衰竭与房颤相关,并被纳入了风险评分模型(除体重指数P=0.08外,其余均为P〈0.05),模型的C统计量为0.78(95%CI0.76~0.80)。10年房颤风险随年龄变化:年龄〈65岁的人群中53例(1%)风险高于15%,而〉65岁的人群中为783例(27%)。为提高预测能力而纳入超声检测指标仅使模型C统计量略微增高,由0.78(95%C10.75~0.80)增至0.79(95%CI0.77~0.82:P=0.005)。超声心动图检测指标并不能改善风险再分层评估(P=0.18)。结论基于社区医疗中易得的临床因素建立的风险评分系统,有助于确认社区个体罹患房颤的风险,评估技术或标志物能否改善风险预测,以及针对高危个体采取预防措施。 | Renate B Schnabel Lisa M Sullivan Daniel Levy Michael J Pencina Joseph M Massaro Ralph B D'Agostino Sr Christopher Newton-Cheh Jennifer F Yamamoto Jared W Magnani Thomas M Tadros William B Kannel Thomas J Wang Patrick T Ellinor Philip A Wolf Ramachanclran S Vasan Emelia J Benjamin 黄刚(译) | 2009 | 世界临床医学2009,,9: | 2 |
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