Evidence map›Paper›PMID 30888535›Full record

ReviewJournal of medical ultrasonics (2001)2019

Range-ambiguity artifact in abdominal ultrasound.

Hiroko Naganuma, Hideaki Ishida, Hiroshi Nagai, Masahiro Ogawa, Yoko Ohyama

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of medical ultrasonics (2001), 2019. 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. Refraction artifact on abdominal sonogram.Journal of medical ultrasonics (2001) · 2021
    Review
  3. 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

5 authors.

Hiroko NaganumaDepartment of Gastroenterology, Yokote Municipal Hospital, 5-31 Negishi-cho, Yokote, Akita, 013-8602, Japan. hiron@vesta.ocn.ne.jp.ORCID http://orcid.org/0000-0001-5175-568X
Hideaki IshidaDepartment of Gastroenterology, Akita Red Cross Hospital, Akita, Japan.
Hiroshi NagaiNew Generation Imaging Laboratory, Tokyo, Japan.
Masahiro OgawaDepartment of Gastroenterology and Hepatology, Nihon University, Tokyo, Japan.
Yoko OhyamaDepartment of Clinical Laboratory, Akita Kousei Medical Hospital, Akita, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Range-ambiguity artifacts (RAAs) are an erroneous mapping of returning echoes into a composite picture. The purpose of this review was to illustrate the mechanism of RAAs and to present the diagnostic problems caused by RAAs. RAA features differ slightly from organ to organ. At the level of the urinary bladder, RAAs take the form of a cloud-like, ill-demarcated, immobile, echogenic area, and the depth of the echogenic area differs depending on the pulse repetition frequency (PRF). This form is referred to as "static RAA" in this review. There are two key ultrasound characteristics of RAAs at the level of the liver: (a) the depth of RAAs change according to the PRF, and (b) RAAs move in accordance with the cardiac cycle. This form is referred to as "mobile RAA" in this review. At the level of the gallbladder, RAAs take the form of fine echogenic lines in the gallbladder. This phenomenon is actually a combination of two phenomena: a ring-down artifact and RAA. This form is referred to as "complex RAA (searchlight phenomenon)" in this review. The easiest way to reduce RAAs is to change the image depth. Sufficient knowledge of RAAs can prevent misdiagnosis of erroneously displayed returning echoes as real pathologic changes.

Indexed as

ArtifactsGallbladderHumansLiverUltrasonographyUrinary BladderGallbladderLiverRange-ambiguity artifactUltrasoundUrinary bladder

Identifiers

What OpenQuestion holds

Textmetadata
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.