5篇
您的检索式：作者名="Dasheng Lin"
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| 1 | Modified surgery for acute thoracolumbar fractures=a prospective report显示文摘 | Dasheng Lin Linxin Guo Zhengqi Ding | 2011 | Eur Orthop Traumatol2011，2，： | 1 |
| 2 | Proximal Femoral Locking Plate With Cannulated Screws for the Treatment of Femoral Neck Fractures显示文摘 | Lin Dasheng Lian Kejian Ding Zhenqi Zhai Wenliang Hong Jiayuan | 2012 | Orthopedics (Online)2012，，1： | 1 |
| 3 | Simultaneous determination of 45 pesticides in fruit and vegetable using an improved QuEChERS method and on-line gel permeation chromatography–gas chromatography/mass spectrometer显示文摘 | Dasheng Lu Xinlei Qiu Chao Feng Yu’e Jin Yuanjie Lin Libei Xiong Yimin Wen Dongli Wang Guoquan Wang | 2012 | Journal of Chromatography B2012，，： | 1 |
| 4 | Modified surgery for acute thoracolumbar fractures:a prospective report显示文摘 | Dasheng Lin Linxin Guo Zhengqi Ding | 2011 | Eur Orthop Traumatol2011，2，12： | 1 |
| 5 | Deep Segmentation Feature-Based Radiomics Improves Recurrence Prediction of Hepatocellular Carcinoma显示文摘Objective and Impact Statement.This study developed and validated a deep semantic segmentation feature-based radiomics(DSFR)model based on preoperative contrast-enhanced computed tomography(CECT)combined with clinical information to predict early recurrence(ER)of single hepatocellular carcinoma(HCC)after curative resection.ER prediction is of great significance to the therapeutic decision-making and surveillance strategy of HCC.Introduction.ER prediction is important for HCC.However,it cannot currently be adequately determined.Methods.Totally,208 patients with single HCC after curative resection were retrospectively recruited into a model-development cohort(n=180)and an independent validation cohort(n=28).DSFR models based on different CT phases were developed.The optimal DSFR model was incorporated with clinical information to establish a DSFR-C model.An integrated nomogram based on the Cox regression was established.The DSFR signature was used to stratify high-and low-risk ER groups.Results.A portal phase-based DSFR model was selected as the optimal model(area under receiver operating characteristic curve(AUC):development cohort,0.740;validation cohort,0.717).The DSFR-C model achieved AUCs of 0.782 and 0.744 in the development and validation cohorts,respectively.In the development and validation cohorts,the integrated nomogram achieved C-index of 0.748 and 0.741 and time-dependent AUCs of 0.823 and 0.822,respectively,for recurrence-free survival(RFS)prediction.The RFS difference between the risk groups was statistically significant(P<0.0001 and P=0.045 in the development and validation cohorts,respectively).Conclusion.CECT-based DSFR can predict ER in single HCC after curative resection,and its combination with clinical information further improved the performance for ER prediction. | Jifei Wang Dasheng Wu Meili Sun Zhenpeng Peng Yingyu Lin Hongxin Lin Jiazhao Chen Tingyu Long Zi-Ping Li Chuanmiao Xie Bingsheng Huang Shi-Ting Feng | 2022 | Biomedical Engineering Frontiers2022，3，1： | 0 |
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