Evidence map›Paper›PMID 37292421›Full record

ReviewSA journal of radiology2023

Ultrasound and computed tomography in the evaluation of mesenteric lesions: A pictorial review.

Snehal I Kose, Sapna Singh, Anju Garg, Alpana Manchanda, Rajdeep Singh

Open access · diamondAbstract readReview
In one paragraph

Review in SA journal of radiology, 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, top 64% of its field
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, 0 citations in OpenAlex.

  1. Review
  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

5 authors at 1 institution in 1 country.

Snehal I KoseDepartment of Radiodiagnosis, Maulana Azad Medical College, Delhi, India.ORCID https://orcid.org/0000-0002-5588-9025
Sapna SinghDepartment of Radiodiagnosis, Maulana Azad Medical College, Delhi, India.ORCID https://orcid.org/0000-0002-5991-0549
Anju GargDepartment of Radiodiagnosis, Maulana Azad Medical College, Delhi, India.ORCID https://orcid.org/0000-0002-7226-5230
Alpana ManchandaDepartment of Radiodiagnosis, Maulana Azad Medical College, Delhi, India.ORCID https://orcid.org/0000-0002-1089-9668
Rajdeep SinghDepartment of Surgery, Maulana Azad Medical College, Delhi, India.ORCID https://orcid.org/0000-0003-4063-4780
Maulana Azad Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mesentery is a broad fan-shaped fold of peritoneum that suspends the loops of small intestine from the posterior abdominal wall. Although primary neoplasms arising in the mesentery are rare, the mesentery is a major avenue for the dissemination of tumours, which can spread through hematogenous, lymphatic, direct or peritoneal seeding. Imaging helps in the diagnosis of these tumours and aids in directing appropriate treatment by assessing their size, extent and relationship with adjacent structures. The aim of this article is to describe the spectrum of imaging findings of the various mesenteric lesions using ultrasound and CT. Contribution: Evaluation of the mesentery is often neglected during routine ultrasound (US) because of inadequate training and unfamiliarity with the common US features encountered with mesenteric disease. CT plays an essential role in the diagnosis of mesenteric disease. Knowledge of imaging characteristics of various mesenteric lesions helps in timely diagnosis and management.

Indexed as

computed tomographyCTgastrointestinal stromal tumourinflammatory myofibroblastic tumourultrasound

Identifiers

PMID37292421
PMCPMC10244954
OpenAlexW4377289676

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.