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Acknowledgments
We thank Hugh McGonigle, from Liwen Bianji, Edanz Group China (www.liwenbianji.cn/ac), for language support.
Funding
This study was supported by the fund of the Public Welfare Technology Research Program/Social Development of Zhejiang Natural Science Foundation Committee No. LGF21H030011 to Wei FQ, the fund of Zhejiang Medical and Health Science and Technology Project No. 2021KY027 to Wei FQ, the Major Projects of the Ministry of Science and Technology No. 2018YFB1107104 to Wang ZF, the fund of Zhejiang Medical and Health Science and Technology Project No. 2021KY508 to Chen JF, and the fund of Zhejiang Medical and Health Science and Technology Project No. 2020KY406 to Chen JF.
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Wei FQ and Wang ZF had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Wei FQ and Wang ZF: study conception and design. Wei FQ and Chen JF: acquisition of data. Wei FQ, Gong HB, Cao J, and Wang ZF: analysis and interpretation of data. Wei FQ, Wang WE, and Chen Hao: drafting of manuscript. Wei FQ and Wang ZF: critical revision.
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FIGURE S1
Face and content validity of the models. R group: three experienced resident surgeons; F: three experienced fellow surgeons. (PNG 112 kb)
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Wei, F., Wang, W., Gong, H. et al. Reusable Modular 3D-Printed Dry Lab Training Models to Simulate Minimally Invasive Choledochojejunostomy. J Gastrointest Surg 25, 1899–1901 (2021). https://doi.org/10.1007/s11605-020-04888-w
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DOI: https://doi.org/10.1007/s11605-020-04888-w