Evidence map›Paper›PMID 40727377›Full record

ArticleQuantitative imaging in medicine and surgery2025

Application of computer-assisted surgery system in a child with multiple traumas: a case report.

Chaojin Wang, Ying He, Jing Zhao, Feifei Wang, Shuai Jiang, Chengzhan Zhu, Haoyu Liang, Bin Wei, Xiwei Hao, Qian Dong

Abstract readCase Reports
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Chaojin WangDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.ORCID https://orcid.org/0009-0007-8030-3288
Ying HeDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Jing ZhaoDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Feifei WangShandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Shuai JiangDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Chengzhan ZhuDepartment of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Haoyu LiangDepartment of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China.
Bin WeiShandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Xiwei HaoDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.
Qian DongDepartment of Pediatric Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe traumatic liver rupture in children has a high mortality rate. The computer-assisted surgery (CAS) system is an effective medical image simulation tool, which can display the adjacent relationship between the liver and surrounding tissues (especially compressed blood vessels) in a three-dimensional (3D), dynamic and complete way, and assist in precise liver resection. It provides important guidance for preoperative planning and intraoperative navigation. This chapter reports the individualized computer-assisted surgical planning and progress of a case of complex pediatric abdominal trauma. Case Description: A 3-year-old girl was admitted to the hospital due to a severe abdominal crush injury caused by a car accident. Contrast-enhanced computed tomography (CT) showed grade V liver injuries [2018 American Association for the Surgery of Trauma-Organ Injury Scale (2018 AAST-OIS)], as well as splenic and renal contusion. Emergency CAS was performed to repair liver contusion. Biliary fluid was drained from the chest cavity after the operation, and contrast-enhanced CT showed diaphragmatic rupture and intrahepatic pseudoaneurysm. The ruptured diaphragm was repaired by laparotomy with the assistance of a Hisense CAS system, and the intrahepatic pseudoaneurysm was treated by interventional therapy. The child responded well to the comprehensive treatment, and no complications such as bile leakage and infection were found after the operation. Regular imaging and laboratory tests confirmed that the child recovered stably, and the child displayed satisfactory physical development and growth during the follow-up period. Conclusions: The CAS system can predict surgical risk, and has important clinical value for in the treatment of children with multiple traumas.

Indexed as

Abdominal traumacase reportcomputer-assistedpediatricprecise surgery

Identifiers

PMID40727377
PMCPMC12290752

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.