Evidence map›Paper›PMID 38898086›Full record

ArticleScientific reports2024

Miniaturized electromagnetic tracking enables efficient ultrasound-navigated needle insertions.

Alexander Seitel, Daniel Groener, Matthias Eisenmann, Laura Aguilera Saiz, Bünyamin Pekdemir, Patmaa Sridharan, Cam Tu Nguyen, Sebastian Häfele, Carolin Feldmann, Brittaney Everitt and 6 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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  3. 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

16 authors.

Alexander Seitel *Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. a.seitel@dkfz-heidelberg.de.
Daniel Groener *Department of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, 60596, Frankfurt, Germany.
Matthias EisenmannDivision of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Laura Aguilera SaizDivision of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Bünyamin PekdemirDivision of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Patmaa SridharanDivision of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Cam Tu NguyenDepartment of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, 60596, Frankfurt, Germany.
Sebastian HäfeleDepartment of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, 60596, Frankfurt, Germany.
Carolin FeldmannDivision of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Brittaney EverittDivision of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.
Christian HappelDepartment of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, 60596, Frankfurt, Germany.
Eva HerrmannDepartment of Medicine, Institute for Biostatistics, Goethe University Frankfurt, 60596, Frankfurt, Germany.
Amir SabetDepartment of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, 60596, Frankfurt, Germany.
Frank GrünwaldDepartment of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, 60596, Frankfurt, Germany.
Alfred Michael Franz *Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany. alfred.franz@thu.de.
Lena Maier-Hein *Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany.

Funding

Bundesministerium für Bildung und Forschung 03VP03251Bundesministerium für Wirtschaft und Technologie OP4.1National Center for Tumor Diseases (NCT) Surgical Oncology Program
6 · The paper itself

Abstract

Ultrasound (US) has gained popularity as a guidance modality for percutaneous needle insertions because it is widely available and non-ionizing. However, coordinating scanning and needle insertion still requires significant experience. Current assistance solutions utilize optical or electromagnetic tracking (EMT) technology directly integrated into the US device or probe. This results in specialized devices or introduces additional hardware, limiting the ergonomics of both the scanning and insertion process. We developed the first ultrasound (US) navigation solution designed to be used as a non-permanent accessory for existing US devices while maintaining the ergonomics during the scanning process. A miniaturized EMT source is reversibly attached to the US probe, temporarily creating a combined modality that provides real-time anatomical imaging and instrument tracking at the same time. Studies performed with 11 clinical operators show that the proposed navigation solution can guide needle insertions with a targeting accuracy of about 5 mm, which is comparable to existing approaches and unaffected by repeated attachment and detachment of the miniaturized tracking solution. The assistance proved particularly helpful for non-expert users and needle insertions performed outside of the US plane. The small size and reversible attachability of the proposed navigation solution promises streamlined integration into the clinical workflow and widespread access to US navigated punctures.

Indexed as

Electromagnetic PhenomenaNeedlesEquipment DesignHumansMiniaturizationPhantoms, ImagingUltrasonography, Interventional

Identifiers

PMID38898086
PMCPMC11187124

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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.