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Improved virtual surgical planning with 3D-multimodality image for malignant giant pelvic tumors

Authors Fang X, Yu Z, Xiong Y, Yuan F, Liu H, Wu F, Zhang W, Luo Y, Song L, Tu C, Duan H

Received 29 August 2018

Accepted for publication 28 October 2018

Published 7 December 2018 Volume 2018:10 Pages 6769—6777

DOI https://doi.org/10.2147/CMAR.S185737

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Colin Mak

Peer reviewer comments 3

Editor who approved publication: Dr Rituraj Purohit


Supplementary video showing soft tissues being carefully identified and dissected according to the 3DMMI on a mobile phone.

Xiang Fang,1,* Zeping Yu,1,* Yan Xiong,1 Fang Yuan,2 Hongyuan Liu,3 Fan Wu,4 Wenli Zhang,1 Yi Luo,1 Liuhong Song,5 Chongqi Tu,1 Hong Duan1

1Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2Department of Radiology, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 3Department of Orthopedics, Sichuan Provincial Fifth People’s Hospital, Chengdu, Sichuan, People’s Republic of China; 4Department of Orthopedics, Fourth People’s Hospital of ZiGong, Sichuan, People’s Republic of China; 5Department of Orthopedics, People’s Hospital of Pengzhou, Sichuan, People’s Republic of China

*These authors contributed equally to this work

Purpose: We sought to assess the early clinical outcome of 3D-multimodality image (3DMMI)-based virtual surgical planning for resection and reconstruction of malignant giant pelvic tumors.
Patients and methods: In this retrospective case-control study, surgery was planned and performed with 3DMMI-based patient-specific instruments (PSI) in 13 patients with giant pelvic malignancy and without 3DMMI-based PSI in the other 13 patients. In the 3DMMI group, 3DMMI was utilized, taking advantages of computed tomography (CT), contrast-enhanced CT angiography (CTA), contrast-enhanced magnetic resonance imaging (MRI), contrast-enhanced magnetic resonance neurography (MRN), which could reveal the whole tumor and all adjacent vital structures. Based on these 3DMMI, virtual surgical planning was conducted and the corresponding PSI was then designed. The median follow-up was 8 (3–24) months. The median age at operation was 37.5 (17–64) years. The mean tumor size in maximum diameter was 13.3 cm. Surgical margins, intraoperative and postoperative complications, duration of surgery, and intra-operative blood loss were analyzed.
Results: In the non-3DMMI group, the margins were wide in six patients (6/13), marginal in four (4/13), wide-contaminated in two (2/13), and intralesional in one (1/13). In the 3DMMI group, the margins were wide in 10 patients (10/13), marginal in three (3/13), and there were no wide-contaminated or intralesional margins. The 3DMMI group achieved shorter duration of surgery (P=0.354) and lower intraoperative blood loss (P=0.044) than the non-3DMMI group.
Conclusion: The 3DMMI-based technique is advantageous to obtain negative surgical margin and decrease surgical complications related to critical structures injury for malignant giant pelvic tumor.

Keywords: surgical planning, 3D-multimodality image, pelvic tumor, patient-specific instruments, surgical margin

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