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platelet doubling After First Decitabine Cycle Predicts Response and Survival of Myelodysplastic Syndrome Patients

Current Medical Science 2022年第1期42卷 77-84页

作者： Ping-fan LU Li-nan DENG Fan-kai MENG Ying WANG Min XIAO Deng-ju LI Department of Hematology Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China

Objective:Although the effect of decitabine on myelodysplastic syndrome(MDS)has been demonstrated,merely a proportion of patients respond to therapy,and no well-recognized predictors have been identified.This study was conducted to investigate the effectiveness of decitabine in real-world clinical practice,and determine the predictive factors of response and overall survival(OS)in MDS patients.

关键词： platelet doubling decitabine response survival myelodysplastic syndrome

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Application of Unenhanced Computed Tomography Texture Analysis to Differentiate Pancreatic Adenosquamous Carcinoma from Pancreatic Ductal Adenocarcinoma

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Current Medical Science 2022年第1期42卷 217-225页

作者： Shuai REN Hui-juan TANG Rui ZHAO Shao-feng DUAN Rong CHEN Zhong-qiu WANG Department of Radiology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineNanjing 210029China Department of Diagnostic Radiology and Nuclear Medicine School of MedicineUniversity of MarylandBaltimoreMD 21201USA Department of Oncology Jiangsu Province Hospital of Chinese MedicineAffiliated Hospital of Nanjing University of Chinese MedicineNanjing 210029China Department of Clinical and Molecular Sciences Marche Polytechnic UniversityAncona 60126Italy GE Healthcare Shanghai 201203China

Objective:The objective of this study was to investigate the application of unenhanced computed tomography(CT)texture analysis in differentiating pancreatic adenosquamous carcinoma(PASC)from pancreatic ductal adenocarcinoma(PDAC).Methods:Preoperative CT images of 112 patients(31 with PASC,81 with PDAC)were retrospectively reviewed.A total of 396 texture parameters were extracted from AnalysisKit software for further texture analysis.Texture features were selected for the differentiation of PASC and PDAC by the Mann-Whitney U test,univariate logistic regression analysis,and the minimum redundancy maximum relevance algorithm.Furthermore,receiver operating characteristic(ROC)curve analysis was performed to evaluate the diagnostic performance of the texture feature-based model by the random forest(RF)method.Finally,the robustness and reproducibility of the predictive model were assessed by the 10-times leave-group-out cross-validation(LGOCV)method.

关键词： platelet doubling computed tomography pancreatic neoplasms adenocarcinoma adenosquamous carcinoma texture analysis

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