Evidence map›Paper›PMID 36894932›Full record

ArticleBMC surgery2023

Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery.

Shaoya Guan, Tianqi Li, Cai Meng, Limei Ma

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Shaoya GuanSchool of Engineers, Beijing Institute of Petrochemical Technology, Beijing, China.
Tianqi LiSchool of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing, China.
Cai MengSchool of Astronautics, Beihang University, Beijing, China.
Limei MaSchool of Engineers, Beijing Institute of Petrochemical Technology, Beijing, China. malimei@bipt.edu.cn.

Funding

Cross-Disciplinary Science Foundation from Beijing Institute of Petrochemical Technology BIPTCSF-016National Innovation and Entrepreneurship Program for College Students of China 2022J00100National Major Research Program of China 2019YFB1311703National Natural Science Foundation of China 61533016
6 · The paper itself

Abstract

backgroundMinimally invasive vascular intervention (MIVI) is a powerful technique for the treatment of cardiovascular diseases, such as abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and aortic dissection (AD). Navigation of traditional MIVI surgery mainly relies only on 2D digital subtraction angiography (DSA) images, which is hard to observe the 3D morphology of blood vessels and position the interventional instruments. The multi-mode information fusion navigation system (MIFNS) proposed in this paper combines preoperative CT images and intraoperative DSA images together to increase the visualization information during operations.

resultsThe main functions of MIFNS were evaluated by real clinical data and a vascular model. The registration accuracy of preoperative CTA images and intraoperative DSA images were less than 1 mm. The positioning accuracy of surgical instruments was quantitatively assessed using a vascular model and was also less than 1 mm. Real clinical data used to assess the navigation results of MIFNS on AAA, TAA and AD.

conclusionsA comprehensive and effective navigation system was developed to facilitate the operation of surgeon during MIVI. The registration accuracy and positioning accuracy of the proposed navigation system were both less than 1 mm, which met the accuracy requirements of robot assisted MIVI.

Indexed as

RoboticsRobotic Surgical ProceduresSurgery, Computer-AssistedAngiography, Digital SubtractionHumansImaging, Three-DimensionalMinimally Invasive Surgical ProceduresInterventional instrument positioningMedical image registrationMedical roboticsNavigation systemVascular interventional surgery

Identifiers

PMID36894932
PMCPMC9996930

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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.