BACKGROUND One of the primary reasons for the dismal survival rates in pancreatic ductal adenocarcinoma(PDAC)is that most patients are usually diagnosed at late stages.There is an urgent unmet clinical need to identif...BACKGROUND One of the primary reasons for the dismal survival rates in pancreatic ductal adenocarcinoma(PDAC)is that most patients are usually diagnosed at late stages.There is an urgent unmet clinical need to identify and develop diagnostic methods that could precisely detect PDAC at its earliest stages.METHODS A total of 71 patients with pathologically proved PDAC based on surgical resection who underwent contrast-enhanced computed tomography(CT)within 30 d prior to surgery were included in the study.Tumor staging was performed in accordance with the 8th edition of the American Joint Committee on Cancer staging system.Radiomics features were extracted from the region of interest(ROI)for each patient using Analysis Kit software.The most important and predictive radiomics features were selected using Mann-Whitney U test,univar-iate logistic regression analysis,and minimum redundancy maximum relevance(MRMR)method.Random forest(RF)method was used to construct the radiomics model,and 10-times leave group out cross-validation(LGOCV)method was used to validate the robustness and reproducibility of the model.RESULTS A total of 792 radiomics features(396 from late arterial phase and 396 from portal venous phase)were extracted from the ROI for each patient using Analysis Kit software.Nine most important and predictive features were selected using Mann-Whitney U test,univariate logistic regression analysis,and MRMR method.RF method was used to construct the radiomics model with the nine most predictive radiomics features,which showed a high discriminative ability with 97.7%accuracy,97.6%sensitivity,97.8%specificity,98.4%positive predictive value,and 96.8%negative predictive value.The radiomics model was proved to be robust and reproducible using 10-times LGOCV method with an average area under the curve of 0.75 by the average performance of the 10 newly built models.CONCLUSION The radiomics model based on CT could serve as a promising non-invasive method in differential diagnosis between early and late stage PDAC.展开更多
《中美戏剧交流的文化解读》把中美戏剧交流的历史分为四个时期:早期(1852-1919)、中期(1919-1949)、中断期(1950-1978)、续接期(1978至今)。按照时间顺序,从中美早期戏剧交流、中国话剧的诞生、国剧运动、梅兰芳现象、A. C. Scott的贡...《中美戏剧交流的文化解读》把中美戏剧交流的历史分为四个时期:早期(1852-1919)、中期(1919-1949)、中断期(1950-1978)、续接期(1978至今)。按照时间顺序,从中美早期戏剧交流、中国话剧的诞生、国剧运动、梅兰芳现象、A. C. Scott的贡献、洪深、曹禺与中国梦几个方面,浅谈对百年"国剧梦"的思考。展开更多
基金Supported by the National Natural Science foundation of China,No.82202135,82371919,82372017,and 82171925China Postdoctoral Science Foundation,No.2023M741808+3 种基金Young Elite Scientists Sponsorship Program by Jiangsu Association for Science and Technology,No.JSTJ-2023-WJ027Foundation of Excellent Young Doctor of Jiangsu Province Hospital of Chinese Medicine,No.2023QB0112Nanjing Postdoctoral Science Foundation,Natural Science Foundation of Nanjing University of Chinese Medicine,No.XZR2023036 and XZR2021050Medical Imaging Artificial Intelligence Special Research Fund Project,Nanjing Medical Association Radiology Branch,Project of National Clinical Research Base of Traditional Chinese Medicine in Jiangsu Province,China,No.JD2023SZ16.
文摘BACKGROUND One of the primary reasons for the dismal survival rates in pancreatic ductal adenocarcinoma(PDAC)is that most patients are usually diagnosed at late stages.There is an urgent unmet clinical need to identify and develop diagnostic methods that could precisely detect PDAC at its earliest stages.METHODS A total of 71 patients with pathologically proved PDAC based on surgical resection who underwent contrast-enhanced computed tomography(CT)within 30 d prior to surgery were included in the study.Tumor staging was performed in accordance with the 8th edition of the American Joint Committee on Cancer staging system.Radiomics features were extracted from the region of interest(ROI)for each patient using Analysis Kit software.The most important and predictive radiomics features were selected using Mann-Whitney U test,univar-iate logistic regression analysis,and minimum redundancy maximum relevance(MRMR)method.Random forest(RF)method was used to construct the radiomics model,and 10-times leave group out cross-validation(LGOCV)method was used to validate the robustness and reproducibility of the model.RESULTS A total of 792 radiomics features(396 from late arterial phase and 396 from portal venous phase)were extracted from the ROI for each patient using Analysis Kit software.Nine most important and predictive features were selected using Mann-Whitney U test,univariate logistic regression analysis,and MRMR method.RF method was used to construct the radiomics model with the nine most predictive radiomics features,which showed a high discriminative ability with 97.7%accuracy,97.6%sensitivity,97.8%specificity,98.4%positive predictive value,and 96.8%negative predictive value.The radiomics model was proved to be robust and reproducible using 10-times LGOCV method with an average area under the curve of 0.75 by the average performance of the 10 newly built models.CONCLUSION The radiomics model based on CT could serve as a promising non-invasive method in differential diagnosis between early and late stage PDAC.
基金This study was performed under a contract by CNPC USA.Authors would like to express their gratitude to CNPC USA management for its support and permission to publish the data as well as to IHS Markit for providing data for the research.
文摘《中美戏剧交流的文化解读》把中美戏剧交流的历史分为四个时期:早期(1852-1919)、中期(1919-1949)、中断期(1950-1978)、续接期(1978至今)。按照时间顺序,从中美早期戏剧交流、中国话剧的诞生、国剧运动、梅兰芳现象、A. C. Scott的贡献、洪深、曹禺与中国梦几个方面,浅谈对百年"国剧梦"的思考。
