Evidence map›Paper›PMID 39995746›Full record

ArticleQuantitative imaging in medicine and surgery2025

Robotic navigation-assisted percutaneous liver puncture: a pilot study.

Milan Sigdel, Yi Fang, Zhanguo Sun, Madan Sigdel, Dechao Jiao

Abstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. [Ultrasound technology's new application in the diagnosis and treatment of liver cancer].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
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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.

Milan SigdelDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.ORCID https://orcid.org/0009-0009-7930-2303
Yi FangDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhanguo SunDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Madan SigdelSchool of Basic Pharmaceutical and Toxicological Sciences, College of Pharmacy, University of Louisiana Monroe, Monroe, LA, USA.
Dechao JiaoDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Liver cancer is often diagnosed at an advanced stage, rendering many cases unresectable and necessitating minimally invasive treatments such as ablation, for which accurate puncture is essential. Manual techniques are limited by steep learning curves, frequent needle adjustments, and increased radiation exposure. Robotic navigation-assisted puncture (RNAP) offers improved precision, efficiency, and safety, but its efficacy compared to that of manual puncture (MP) remains unclear. This study aimed to assess the safety and efficacy of RNAP in the treatment of liver tumors. Methods: From October 2023 to February 2024, 65 patients with liver tumors underwent percutaneous puncture procedures (ablation, iodine-125 implantation, and biopsy) at department of interventional radiology. They were divided into two groups: the RNAP group (n=29) and the MP group (n=36). Two techniques were compared in terms of technical success (TS), clinical success (CS), puncture scoring (PS), number of computed tomography (CT) scans, total procedure time (TPT), puncture time (PT), irradiation dose (ID), and puncture-related complications. Results: There were significant differences between patients in the RNAP group and those in the MP group in terms of PS (3.02±0.68 Conclusions: RNAP is a useful tool for performing puncture procedures on liver tumors, which can decrease PT, CT scan times, and ID.

Indexed as

liver tumorsminimally invasive therapyPercutaneous puncturerobotic navigation

Identifiers

PMID39995746
PMCPMC11847208

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