Evidence map›Paper›PMID 42566076›Full record

ReviewAnnals of biomedical engineering2026

Interventional Embolization Under Multifactorial Coupling: Mechanisms of Embolic-Agent Distribution and Feasibility of Closed-Loop Automatic Injection.

Dongcheng Ren, Xingyuan Li, Shijie Guo, Yang Li, Bo Zhou

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In one paragraph

Review in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Dongcheng RenSchool of Mechanical Engineering, Hebei University of Technology, 5340 Xiping Rd., Tianjin, 300400, China.
Xingyuan LiSchool of Mechanical Engineering, Hebei University of Technology, 5340 Xiping Rd., Tianjin, 300400, China.
Shijie GuoSchool of Mechanical Engineering, Hebei University of Technology, 5340 Xiping Rd., Tianjin, 300400, China.
Yang LiSchool of Mechanical Engineering, Hebei University of Technology, 5340 Xiping Rd., Tianjin, 300400, China. liyang@hebut.edu.cn.
Bo ZhouNational Clinical Research Center for Interventional Medicine, 180 Fenglin Rd., Shanghai, 200032, China. zhou.bo@zs-hospital.sh.cn.ORCID http://orcid.org/0000-0002-0350-1543

Funding

Hebei Provincial Department of Human Resources and Social Security No. B2024005034Natural Science Foundation of Hebei Province No. F2024202025Science and Technology Commission of Shanghai Municipality No.24TS1416100
6 · The paper itself

Abstract

purposeThis narrative review aims to synthesize current knowledge on the mechanisms governing embolic-agent distribution and to examine the engineering rationale and translational feasibility of closed-loop or semi-automated embolic-agent injection.

methodsA structured search and targeted review of experimental, computational, and clinical studies were used to synthesize evidence on particle properties, injection parameters, hemodynamics, imaging feedback, and pressure monitoring related to embolization. Evidence was analyzed from a biomedical engineering perspective, with emphasis on transport mechanisms, sensing modalities, and control-relevant variables.

resultsEmbolic-agent distribution arises from the coupled effects of particle size, shape, and material properties; injection rate, mode, and catheter configuration; and lesion- and device-induced hemodynamic alterations. Quantitative digital subtraction angiography (qDSA and 4D-DSA) provides spatial and perfusion-related information, whereas local arterial pressure more directly reflects distal resistance evolution and reflux tendency. Taken together, these findings support an engineering interpretation of embolization as a constrained transport-flow-control process in which embolic distribution, endpoint assessment, and procedural safety are jointly influenced by particle characteristics, hemodynamics, and feedback-informed injection strategy.

conclusionBy reframing embolization as a coupled transport and control problem, this review integrates multifactorial distribution mechanisms with multimodal feedback concepts and outlines a preliminary engineering framework for future feedback-informed embolic-agent delivery systems.

Indexed as

Automated injection systemEmbolic-agent distributionEmbolization endpointHemodynamicsInterventional embolization

Identifiers

PMID42566076

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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.