Evidence map›Paper›PMID 35912283›Full record

ReviewInterventional radiology (Higashimatsuyama-shi (Japan)2021

Computed Tomography-guided Core Needle Biopsy for Renal Tumors: A Review.

Toshihiro Iguchi, Yusuke Matsui, Koji Tomita, Mayu Uka, Toshiyuki Komaki, Soichiro Kajita, Noriyuki Umakoshi, Kazuaki Munetomo, Hideo Gobara, Susumu Kanazawa

Abstract readReview
In one paragraph

Review in Interventional radiology (Higashimatsuyama-shi (Japan), 2021. 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
  2. Preface to the Featured Topic "Image-guided Puncture".Interventional radiology (Higashimatsuyama-shi (Japan) · 2024
    Article
  3. Review
  4. 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

10 authors.

Toshihiro IguchiDepartment of Radiology, Okayama University Medical School, Japan.
Yusuke MatsuiDepartment of Radiology, Okayama University Medical School, Japan.
Koji TomitaDepartment of Radiology, Okayama University Medical School, Japan.
Mayu UkaDepartment of Radiology, Okayama University Medical School, Japan.
Toshiyuki KomakiDepartment of Radiology, Okayama University Medical School, Japan.
Soichiro KajitaDepartment of Radiology, Okayama University Medical School, Japan.
Noriyuki UmakoshiDepartment of Radiology, Okayama University Medical School, Japan.
Kazuaki MunetomoDepartment of Radiology, Okayama University Medical School, Japan.
Hideo GobaraDepartment of Radiology, Okayama University Medical School, Japan.
Susumu KanazawaDepartment of Radiology, Okayama University Medical School, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small renal tumors are sometimes challenging to diagnose accurately through imaging alone, and image-guided biopsies are performed when histological diagnoses are needed. Although ultrasound guidance is usually chosen for renal tumor biopsies, computed tomography guidance is preferred for selected cases; e.g., obese patients or when the target is undetectable by ultrasound (as those in the upper pole). In the 14 recently published studies covering ≥50 procedures, computed tomography-guided renal tumor biopsies had a wide range diagnostic yield (67.4%-97.4%). Complications often occurred; however, most were minor and asymptomatic. No biopsy-related deaths and tumor seeding occurred. This study aimed to review the advantages and disadvantages, procedure techniques, diagnostic yields, and complications of core needle biopsies for renal tumors under computed tomography guidance.

Indexed as

BiopsyComputed tomographyKidney

Identifiers

PMID35912283
PMCPMC9327301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.