Evidence map›Paper›PMID 39669008›Full record

ArticleSM radiology journal2024

Needle Guide Friction Reduction Utilizing Contact Surface Structure.

Isaac Elijah, Sang-Eun Song

Abstract read
In one paragraph

Article in SM radiology journal, 2024. 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

2 authors.

Isaac ElijahCharles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA.
Sang-Eun SongDepartment of Mechanical Engineering, University of Akron, Akron, OH, USA.

Funding

Compact registration-free robotic tool guide for image guided percutaneous interventionsR15EB030356 · NIBIB · UNIVERSITY OF CENTRAL FLORIDA · PI SONG, SANGEUN · 2020 to 2020
$447k
NIBIB NIH HHS R15 EB030356
6 · The paper itself

Abstract

Prostate cancer ranks as the second most common cause of cancer-related mortality among males. A template guided core biopsy procedure is an essential component of prostate cancer diagnosis. Various factors influence the quality of the histological sample that is produced from the biopsy, including tissue fragmentation, needle insertion speed, needle deflection, and sheath cutting speed. In instances where a biopsy core fails to meet established clinical standards, an additional core extraction is necessary, resulting in heightened patient discomfort and an increased risk of infection. The objective of this study is to examine alternative configurations for the needle guide in order to optimize for the reduction of needle guide frictional forces while providing adequate guidance towards a target. A simulation of this interaction using different configurations of the needle guide was designed using SIMULA Abaqus, and a Finite Element Analysis was performed to observe the friction force between the needle and guide. The results showed that configurations with contact points oriented parallel to the direction of insertion exhibited the least recorded frictional forces. The study demonstrated that configurations which provided decreased contact surface compared to the control needle guide resulted in lower friction force. These findings advocate for the optimization of the conventional biopsy needle guide to reduce the contact area between the needle and guide inner surface, potentially reducing the number of passes required to obtain a histologically viable core specimen and mitigating the risk of patient infection.

Indexed as

Core biopsyInsertion frictionNeedle guideProstate biopsy

Identifiers

PMID39669008
PMCPMC11634242

What OpenQuestion holds

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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.