Yang Tianyou, Lin Shuwen, Tan Tianbao, Yang Jiliang, Pan Jing, Hu Chao, Li Jiahao, Zou Yan
Department of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, No. 9 Jinsui Rd., Tianhe District, Guangzhou, 510623, China.
The Fifth People's Hospital of Dongguan City, Dongguan, China.
World J Surg. 2018 Aug;42(8):2339-2343. doi: 10.1007/s00268-018-4489-x.
To investigate the impact of 3D printed model on understanding of surgical anatomy of retroperitoneal tumor.
Three-dimensional model was printed, based on multi-detectors computed tomography (MDCT) of a retroperitoneal tumor. Participants (10 students, 10 residents and 10 surgeons) were asked to identify vasculatures which were important in resection of the tumor, after viewing MDCT images, 3D visualization model and 3D printed model, respectively. Regarding this tumor, left renal vein (LRV), right renal pedicles (RRP) and inferior vena cava (IVC) were chosen as indicators to assess participants' performances. Identification of vasculatures was evaluated and a score was given (1 point = success; 0 point = failure). The total number and percentage of correct identification were used to measure how these three types of anatomic presentation were able to transfer in terms of anatomical recognition. Recorded data were analyzed both pooling together data from three groups of participants and separately for each group.
In analysis of overall comparison among 3D printing, 3D visualization and MDCT, recognition of all three vasculatures simultaneously was 83.33, 73.33 and 46.67%, respectively (P = 0.007); recognition of LRV was 90, 80 and 63.33% (P = 0.043), respectively; recognition of RRP was 96.67, 83.33 and 73.33% (P = 0.035), respectively; recognition of IVC was 93.33, 90 and 80% (P = 0.366), respectively. In subgroup analysis of performances of three groups of participants, no significant differences regarding anatomic recognition were observed among MDCT, 3D visualization and 3D printed model for each group of participants.
Three-dimensional printed model improved the understanding of surgical anatomy of retroperitoneal tumor.
探讨3D打印模型对腹膜后肿瘤手术解剖结构理解的影响。
基于腹膜后肿瘤的多排螺旋CT(MDCT)数据打印三维模型。参与者(10名学生、10名住院医师和10名外科医生)分别在查看MDCT图像、3D可视化模型和3D打印模型后,被要求识别肿瘤切除中重要的血管结构。对于该肿瘤,选择左肾静脉(LRV)、右肾蒂(RRP)和下腔静脉(IVC)作为评估参与者表现的指标。对血管结构的识别进行评估并给出分数(1分=成功;0分=失败)。正确识别的总数和百分比用于衡量这三种解剖呈现方式在解剖识别方面的传递能力。记录的数据分别对三组参与者的数据进行汇总分析和单独分析。
在3D打印、3D可视化和MDCT的总体比较分析中,同时识别所有三种血管结构的比例分别为83.33%、73.33%和46.67%(P = 0.007);识别LRV的比例分别为90%、80%和63.33%(P = 0.043);识别RRP的比例分别为96.67%、83.33%和73.33%(P = 0.035);识别IVC的比例分别为93.33%、90%和80%(P = 0.366)。在三组参与者表现的亚组分析中,每组参与者在MDCT、3D可视化和3D打印模型之间的解剖识别方面未观察到显著差异。
3D打印模型提高了对腹膜后肿瘤手术解剖结构的理解。