Evidence map›Paper›PMID 37790511›Full record

ArticleResearch square2023

Single-sided magnetic resonance-based sensor for point-of-care evaluation of muscle.

Michael Cima, Sydney Sherman, Alexa Zammit, Won-Seok Heo, Matthew Rosen

Abstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Michael CimaMassachusetts Institute of Technology.ORCID 0000-0003-2379-6139
Sydney ShermanMassachusetts Institute of Technology.ORCID 0009-0006-5408-1872
Alexa ZammitMassachusetts Institute of Technology.
Won-Seok HeoMassachusetts Institute of Technology.ORCID 0000-0001-7015-111X
Matthew RosenMassachusetts General Hospital and Harvard Medical School.ORCID 0000-0002-7194-002X

Funding

NMR-Based Rapid Fluid Assessment: Device Design and Signal ProcessingR01EB031813 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CIMA, MICHAEL J, NIGWEKAR, SAGAR · 2022 to 2025
$2.2M
NIBIB NIH HHS R01 EB031813
6 · The paper itself

Abstract

Magnetic resonance (MR) imaging is a powerful clinical tool for the detection of soft tissue morphology and pathology, which often provides actionable diagnostic information to clinicians. Its clinical use is largely limited due to size, cost, time, and space constraints. Here, we discuss the design and performance of a low-field single-sided MR sensor intended for point-of-care (POC) evaluation of skeletal muscle

Indexed as

diagnosticsT2 Relaxometry

Identifiers

PMID37790511
PMCPMC10543496

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.