Evidence map›Paper›PMID 35410155›Full record

ArticleBMC surgery2022

Intraoperative navigation system with a multi-modality fusion of 3D virtual model and laparoscopic real-time images in laparoscopic pancreatic surgery: a preclinical study.

Chengxu Du, Jiaxuan Li, Bin Zhang, Wenfeng Feng, Tengfei Zhang, Dongrui Li

Abstract read
In one paragraph

Article in BMC surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. 3D Modelling for Preoperative Planning, Intraoperative Navigation, and Training in Pancreatic Surgery: A Systematic Review.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. Virtual-reality endoscopic navigation system in mediastinal natural orifice transluminal endoscopic surgery (with video).Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Chengxu DuDepartment of Hepatobiliary Surgery, The Second Hospital of Hebei Medical University, 215 Heping West Road, Hebei, 050000, Shijiazhuang, China.
Jiaxuan LiHebei Medical University, Shijiazhuang, Hebei, China.
Bin ZhangSchool of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China.
Wenfeng FengDepartment of Medical Imaging, The Second Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
Tengfei ZhangDepartment of Hepatobiliary Surgery, The Second Hospital of Hebei Medical University, 215 Heping West Road, Hebei, 050000, Shijiazhuang, China.
Dongrui LiDepartment of Hepatobiliary Surgery, The Second Hospital of Hebei Medical University, 215 Heping West Road, Hebei, 050000, Shijiazhuang, China. llddrr@163.com.ORCID http://orcid.org/0000-0001-8196-2962

Funding

Key R&D Program of Hebei Province of China 19277758DNatural Science Foundation of Hebei Province H2019206571
6 · The paper itself

Abstract

backgroundLaparoscopy is widely used in pancreatic surgeries nowadays. The efficient and correct judgment of the location of the anatomical structures is crucial for a safe laparoscopic pancreatic surgery. The technologies of 3-dimensional(3D) virtual model and image fusion are widely used for preoperative planning and intraoperative navigation in the medical field, but not in laparoscopic pancreatic surgery up to now. We aimed to develop an intraoperative navigation system with an accurate multi-modality fusion of 3D virtual model and laparoscopic real-time images for laparoscopic pancreatic surgery.

methodsThe software for the navigation system was developed ad hoc. The preclinical study included tests with the laparoscopic simulator and pilot cases. The 3D virtual models were built using preoperative Computed Tomography (CT) Digital Imaging and Communications in Medicine (DICOM) data. Manual and automatic real-time image fusions were tested. The practicality of the navigation system was evaluated by the operators using the National Aeronautics and Space Administration-Task Load Index (NASA-TLX) method.

resultsThe 3D virtual models were successfully built using the navigation system. The 3D model was correctly fused with the real-time laparoscopic images both manually and automatically optical orientation in the preclinical tests. The statistical comparative tests showed no statistically significant differences between the scores of the rigid model and those of the phantom model(P > 0.05). There was statistically significant difference between the total scores of automatic fusion function and those of manual fusion function (P = 0.026). In pilot cases, the 3D model was correctly fused with the real-time laparoscopic images manually. The Intraoperative navigation system was easy to use. The automatic fusion function brought more convenience to the user.

conclusionsThe intraoperative navigation system applied in laparoscopic pancreatic surgery clearly and correctly showed the covered anatomical structures. It has the potentiality of helping achieve a more safe and efficient laparoscopic pancreatic surgery.

Indexed as

LaparoscopySurgery, Computer-AssistedGastrectomyHumansImaging, Three-DimensionalTomography, X-Ray ComputedUnited States3D virtual modelImage fusionLaparoscopyNavigationPancreatic surgery

Identifiers

PMID35410155
PMCPMC9004060

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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.