Evidence map›Paper›PMID 39559804›Full record

ReviewInterventional radiology (Higashimatsuyama-shi (Japan)2024

Magnetic Resonance Imaging Guidance for Percutaneous Needle Intervention.

Mayu Uka, Yusuke Matsui, Toshihiro Iguchi, Toshi Matsushita, Koji Tomita, Noriyuki Umakoshi, Takahiro Kawabata, Masanori Yamada, Takao Hiraki

Abstract readReview
In one paragraph

Review in Interventional radiology (Higashimatsuyama-shi (Japan), 2024. 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. Review
  2. Review
  3. Preface to the Featured Topic "Image-guided Puncture".Interventional radiology (Higashimatsuyama-shi (Japan) · 2024
    Article
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

9 authors.

Mayu UkaDepartment of Radiology, Okayama University Hospital, Japan.
Yusuke MatsuiDepartment of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan.
Toshihiro IguchiDepartment of Radiological Technology, Faculty of Health Sciences, Okayama University, Japan.
Toshi MatsushitaDivision of Radiological Technology, Okayama University Hospital, Japan.
Koji TomitaDepartment of Radiology, Okayama University Hospital, Japan.
Noriyuki UmakoshiDepartment of Radiology, Okayama University Hospital, Japan.
Takahiro KawabataDepartment of Radiology, Okayama University Hospital, Japan.
Masanori YamadaDepartment of Radiology, Okayama University Hospital, Japan.
Takao HirakiDepartment of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is one of the guiding modalities used for percutaneous needle insertion during interventional procedures. MRI guidance has several advantages, including multiplanar imaging capability, superior soft tissue contrast resolution, and the absence of ionizing radiation. When performing MRI-guided procedures, it is important to understand the suitable MRI systems, instruments, and imaging sequences for intervention. Furthermore, needle artifact characteristics must be fully understood to ensure safe and accurate needle insertion. In this article, we present the fundamental knowledge as regards the use of MRI guidance for percutaneous needle insertion and review its usefulness in representative interventional procedures, such as biopsy and tumor ablation.

Indexed as

ablationbiopsyimage guidancemagnetic resonance imagingneedle

Identifiers

PMID39559804
PMCPMC11570213

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.