Evidence map›Paper›PMID 37649909›Full record

ArticlebioRxiv : the preprint server for biology2023

An In-Silico Testbed for Fast and Accurate MR Labeling of Orthopaedic Implants.

Gregory M Noetscher, Peter J Serano, Marc Horner, Alexander Prokop, Jonathan Hanson, Kyoko Fujimoto, James E Brown, Ara Nazarian, Jerome Ackerman, Sergey N Makaroff

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 2 countries.

Gregory M NoetscherORCID 0000-0001-9786-7206
Peter J Serano
Marc Horner
Alexander Prokop
Jonathan Hanson
Kyoko Fujimoto
James E Brown
Ara Nazarian
Jerome Ackerman
Sergey N Makaroff
Worcester Polytechnic Institute · USAnsys (United States) · USBeth Israel Deaconess Medical Center · USDassault Systèmes (Germany) · DEHarvard University · USMicro Systems Engineering (United States) · USOrano (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One limitation on the ability to monitor health in older adults using Magnetic Resonance (MR) imaging is the presence of implants, where the prevalence of implantable devices (orthopedic, cardiac, neuromodulation) increases in the population, as does the pervasiveness of conditions requiring MRI studies for diagnosis (musculoskeletal diseases, infections, or cancer). The present study describes a novel multiphysics implant modeling testbed using the following approaches with two examples: - an

Identifiers

PMID37649909
PMCPMC10465017
OpenAlexW4384697820

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.