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For: Witowski J, Budzyński A, Grochowska A, Ballard DH, Major P, Rubinkiewicz M, Złahoda-Huzior A, Popiela TJ, Wierdak M, Pędziwiatr M. Decision-making based on 3D printed models in laparoscopic liver resections with intraoperative ultrasound: a prospective observational study. Eur Radiol 2020;30:1306-12. [PMID: 31773294 DOI: 10.1007/s00330-019-06511-2] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Ruzzenente A, Alaimo L, Conci S, De Bellis M, Marchese A, Ciangherotti A, Campagnaro T, Guglielmi A. Hyper accuracy three-dimensional (HA3D™) technology for planning complex liver resections: a preliminary single center experience. Updates Surg 2022. [PMID: 36006558 DOI: 10.1007/s13304-022-01365-8] [Reference Citation Analysis]
2 Verga AS, Tucker SJ, Gao Y, Plaskett AM, Hollister SJ. Nonlinear Viscoelastic Properties of 3D-Printed Tissue Mimicking Materials and Metrics to Determine the Best Printed Material Match to Tissue Mechanical Behavior. Front Mech Eng 2022;8:862375. [DOI: 10.3389/fmech.2022.862375] [Reference Citation Analysis]
3 Christou CD, Tsoulfas G. Role of three-dimensional printing and artificial intelligence in the management of hepatocellular carcinoma: Challenges and opportunities. World J Gastrointest Oncol 2022; 14(4): 765-793 [DOI: 10.4251/wjgo.v14.i4.765] [Reference Citation Analysis]
4 Bastawrous S, Wu L, Liacouras PC, Levin DB, Ahmed MT, Strzelecki B, Amendola MF, Lee JT, Coburn J, Ripley B. Establishing 3D Printing at the Point of Care: Basic Principles and Tools for Success. Radiographics 2022;42:451-68. [PMID: 35119967 DOI: 10.1148/rg.210113] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
5 Rynio P, Wojtuń M, Wójcik Ł, Kawa M, Falkowski A, Gutowski P, Kazimierczak A. The accuracy and reliability of 3D printed aortic templates: a comprehensive three-dimensional analysis. Quant Imaging Med Surg 2022;12:1385-96. [PMID: 35111632 DOI: 10.21037/qims-21-529] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
6 Betancourt MC, Arau´jo C, Marín S, Buriticá W. The Quantitative Impact of Using 3D Printed Anatomical Models for Surgical Planning Optimization: Literature Review. 3D Printing and Additive Manufacturing. [DOI: 10.1089/3dp.2021.0188] [Reference Citation Analysis]
7 Wang Y, Cao D, Chen SL, Li YM, Zheng YW, Ohkohchi N. Current trends in three-dimensional visualization and real-time navigation as well as robot-assisted technologies in hepatobiliary surgery. World J Gastrointest Surg 2021; 13(9): 904-922 [PMID: 34621469 DOI: 10.4240/wjgs.v13.i9.904] [Cited by in CrossRef: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
8 Aseni P, Santaniello T, Rizzetto F, Gentili L, Pezzotta F, Cavaliere F, Vertemati M, Milani P. Hybrid Additive Fabrication of a Transparent Liver with Biosimilar Haptic Response for Preoperative Planning. Diagnostics (Basel) 2021;11:1734. [PMID: 34574075 DOI: 10.3390/diagnostics11091734] [Reference Citation Analysis]
9 Jin Z, Li Y, Yu K, Liu L, Fu J, Yao X, Zhang A, He Y. 3D Printing of Physical Organ Models: Recent Developments and Challenges. Adv Sci (Weinh) 2021;8:e2101394. [PMID: 34240580 DOI: 10.1002/advs.202101394] [Cited by in Crossref: 12] [Cited by in F6Publishing: 8] [Article Influence: 12.0] [Reference Citation Analysis]
10 Xu YW, Fu H. Application of intraoperative ultrasound in liver surgery. Hepatobiliary Pancreat Dis Int 2021;20:501-2. [PMID: 34417143 DOI: 10.1016/j.hbpd.2021.07.012] [Reference Citation Analysis]
11 Lubner MG, Mankowski Gettle L, Kim DH, Ziemlewicz TJ, Dahiya N, Pickhardt P. Diagnostic and procedural intraoperative ultrasound: technique, tips and tricks for optimizing results. Br J Radiol 2021;94:20201406. [PMID: 33684305 DOI: 10.1259/bjr.20201406] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Wei F, Wang W, Gong H, Cao J, Chen J, Chen H, Wang Z. Reusable Modular 3D-Printed Dry Lab Training Models to Simulate Minimally Invasive Choledochojejunostomy. J Gastrointest Surg 2021;25:1899-901. [PMID: 33443689 DOI: 10.1007/s11605-020-04888-w] [Reference Citation Analysis]
13 Ballard DH, Wake N, Witowski J, Rybicki FJ, Sheikh A; RSNA Special Interest Group for 3D Printing Abdominal, Hepatobiliary, and Gastrointestinal Conditions Voting Group. Radiological Society of North America (RSNA) 3D Printing Special Interest Group (SIG) clinical situations for which 3D printing is considered an appropriate representation or extension of data contained in a medical imaging examination: abdominal, hepatobiliary, and gastrointestinal conditions. 3D Print Med 2020;6:13. [PMID: 32514795 DOI: 10.1186/s41205-020-00065-6] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 5.5] [Reference Citation Analysis]
14 Garven E, Throckmorton A. Invited commentary: Personalized surgical planning by computational and visual methods in 21st-century medical engineering. J Card Surg 2020;35:526-7. [PMID: 31971629 DOI: 10.1111/jocs.14432] [Reference Citation Analysis]