Evidence map›Paper›PMID 41647615›Full record

ArticleiGIE : innovation, investigation and insights2023

Pilot study comparing a novel EUS-guided motorized biopsy needle technique with traditional sampling.

David W Dornblaser, Iyad Khamaysi, Seth A Gross

Abstract read
In one paragraph

Article in iGIE : innovation, investigation and insights, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Application of a novel endoscopic ultrasound-guided motorized fine needle for liver and pancreatic lesion biopsy.VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy · 2026
    Article
  2. Review
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

3 authors.

David W DornblaserDepartment of Gastroenterology and Hepatology, NYU Langone Health, New York, New York, USA.
Iyad KhamaysiRambam Health Care Campus, Haifa, Israel.
Seth A GrossDepartment of Gastroenterology and Hepatology, NYU Langone Health, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Improving tissue acquisition in core samples using EUS-guided fine-needle biopsy sampling (EUS-FNB) for histologic diagnosis and tumor molecular profiling is needed for the era of precision medicine. However, sample quality is impacted by needle type, number of throws, and technique. Currently, all commercially available biopsy needles are manually operated. This pilot study is the first to compare Precision (Limaca Medical, Ein HaEmek, Israel), a new motorized EUS-FNB device programmed to drive controlled axial tissue cutting and synchronized high-speed rotational coring to optimize tissue acquisition and physician control, with SharkCore (Medtronic Corp., Minneapolis, MN) using a traditional manual technique. Methods: Patients with solid pancreas tumors were eligible for enrollment. Each patient's target lesion was sampled by both Precision and SharkCore. Procedure measures were number of passes and throws, diagnostic yield, and histologic scores. Results: Nine patients were enrolled. The average tissue sampling time using Precision was 3.87 minutes compared with 5.64 minutes with SharkCore ( Conclusions: EUS-FNB is the method of choice for tumor data acquisition. The initial results of this pilot study suggest an automated motorized needle biopsy sampling approach may lead to more consistent histologic quality along with the ability for molecular profiling of tumors with fewer throws and passes reducing average procedure time. Future larger studies are needed to validate these findings.

Identifiers

PMID41647615
PMCPMC12850778

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Registered trials

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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.