Application of Three-Dimensional Technology for the Preoperative Evaluation of Retroperitoneal Tumors

被引:1
作者
Su, Zhaojie [1 ]
Chen, Jiajia [1 ]
Shi, Zhiyuan [2 ]
Xia, Xiaogang [1 ]
Chen, Fuzhen [1 ]
Wang, Boliang [3 ]
Peng, Zhihai [1 ]
Li, Wengang [1 ,2 ]
机构
[1] Xiamen Univ, Xiangan Hosp, Dept Hepatobiliary Surg, Xiamen 361101, Fujian, Peoples R China
[2] Xiamen Univ, Sch Med, Xiamen 361102, Fujian, Peoples R China
[3] Xiamen Qiangben Technol Co Ltd, Xiamen 361000, Fujian, Peoples R China
关键词
Three-dimensional imaging; three-dimensional printing; preoperative evaluation; retroperitoneal tumor;
D O I
10.1109/ACCESS.2019.2932081
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of computer medical imaging technology, three-dimensional technology has been gradually applied in medicine. We try to investigate the application value of 3D technology in the preoperative evaluation of retroperitoneal tumors. The clinical data of 70 retroperitoneal tumor cases admitted to the clinical center were retrospectively analyzed. The preoperative abdominal CT images were converted to 3D images using XMQB liver 2.0 software. These 3D images were imported into XMQB-I human organ model 3D printing equipment, and physical models facilitate preoperative evaluation and surgical strategy. The reestablished models were compared with the actual conditions during the operation. 3D imaging was completed in all the 70 cases, containing 24 cases in the left abdominal cavity, 26 cases in the right abdominal cavity, 5 cases in the pelvic cavity, and 15 cases in the multi-sites. Also, 3D printing was successfully carried out in 20 cases. The 3D imaging and 3D printing models could stereoscopically, clearly and objectively display the spatial relationships of the tumor with surrounding organs and vessels. The operation was successfully performed on all the 70 cases without death during the preoperative period. 3D technology could accurately evaluate the retroperitoneal tumors at different positions before the operation, showing a certain value in making the preoperative strategy.
引用
收藏
页码:122069 / 122077
页数:9
相关论文
共 16 条
[11]   Major vascular resections in retroperitoneal sarcoma [J].
Tzanis, Dimitri ;
Bouhadiba, Toufik ;
Gaignard, Elodie ;
Bonvalot, Sylvie .
JOURNAL OF SURGICAL ONCOLOGY, 2018, 117 (01) :42-47
[12]  
Virseda Rodriguez Julio A., 2010, Archivos Espanoles de Urologia, V63, P13
[13]   Robust Classification Method of Tumor Subtype by Using Correlation Filters [J].
Wang, Shu-Lin ;
Zhu, Yi-Hai ;
Jia, Wei ;
Huang, De-Shuang .
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2012, 9 (02) :580-591
[14]   An efficient local Chan-Vese model for image segmentation [J].
Wang, Xiao-Feng ;
Huang, De-Shuang ;
Xu, Huan .
PATTERN RECOGNITION, 2010, 43 (03) :603-618
[15]  
Yang Y., 2014, P WORLD C ENG COMPUT, V2, P22
[16]   Metasample-Based Sparse Representation for Tumor Classification [J].
Zheng, Chun-Hou ;
Zhang, Lei ;
Ng, To-Yee ;
Shiu, Simon C. K. ;
Huang, De-Shuang .
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2011, 8 (05) :1273-1282