Evidence map›Paper›PMID 25114383›Full record

ArticleThe Indian journal of radiology & imaging2014

Role of MR spectroscopy in musculoskeletal imaging.

Swati Deshmukh, Ty Subhawong, John A Carrino, Laura Fayad

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of radiology & imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

11 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. Myosteatosis: diagnostic significance and assessment by imaging approaches.Quantitative imaging in medicine and surgery · 2024
    Review
  3. Journal of orthopaedic translation · 2023
    Review
  4. Physics in medicine and biology · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Quantitative imaging methods in osteoporosis.Quantitative imaging in medicine and surgery · 2016
    Review
  11. Diagnostic value of 3.0T (1)H MRS with choline-containing compounds ratio (∆CCC) in primary malignant hepatic tumors.Cancer imaging : the official publication of the International Cancer Imaging Society · 2016
    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

4 authors at 1 institution in 1 country.

Swati DeshmukhDepartment of Radiology, Johns Hopkins Hospital, 1800 Orleans Street, Baltimore, MD, Maryland, USA.
Ty SubhawongDepartment of Radiology, Johns Hopkins Hospital, 1800 Orleans Street, Baltimore, MD, Maryland, USA.
John A CarrinoDepartment of Radiology, Johns Hopkins Hospital, 1800 Orleans Street, Baltimore, MD, Maryland, USA.
Laura FayadDepartment of Radiology, Johns Hopkins Hospital, 1800 Orleans Street, Baltimore, MD, Maryland, USA.
Johns Hopkins Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance spectroscopy (MRS) is an imaging approach that allows for the noninvasive molecular characterization of a region of interest. By detecting signals of water, lipids, and other metabolites, MRS can provide metabolic information for lesion characterization and assessment of treatment response. Although MRS has been routinely used in the brain, clinical applications within the musculoskeletal system have only more recently emerged. The aim of this article is to review the technical considerations for performing MRS in the musculoskeletal system, focusing on proton MRS, and to discuss its potential roles in musculoskeletal tumor imaging and the assessment of muscle physiology and disease.

Indexed as

CholineMR spectroscopymusculoskeletal

Identifiers

PMID25114383
PMCPMC4126135
OpenAlexW2003454503

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.