Evidence map›Paper›PMID 36287795›Full record

ArticleTomography (Ann Arbor, Mich.)2022

Anatomically Accurate, High-Resolution Modeling of the Human Index Finger Using In Vivo Magnetic Resonance Imaging.

Luka Rogelj, Rok Dolenec, Martina Vivoda Tomšič, Elmar Laistler, Urban Simončič, Matija Milanič, Rok Hren

Open access · goldAbstract read
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Luka RogeljFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia.ORCID 0000-0001-6657-0119
Rok DolenecFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia.
Martina Vivoda TomšičUniversity Clinic of Respiratory and Allergic Diseases Golnik, 4204 Golnik, Slovenia.ORCID 0000-0003-1985-5052
Elmar LaistlerHigh Field MR Center, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-8344-8307
Urban SimončičFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia.
Matija MilaničFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia.ORCID 0000-0002-4417-0293
Rok HrenFaculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia.
University of Ljubljana · SIMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anatomically accurate models of a human finger can be useful in simulating various disorders. In order to have potential clinical value, such models need to include a large number of tissue types, identified by an experienced professional, and should be versatile enough to be readily tailored to specific pathologies. Magnetic resonance images were acquired at ultrahigh magnetic field (7 T) with a radio-frequency coil specially designed for finger imaging. Segmentation was carried out under the supervision of an experienced radiologist to accurately capture various tissue types (TTs). The final segmented model of the human index finger had a spatial resolution of 0.2 mm and included 6,809,600 voxels. In total, 15 TTs were identified: subcutis, Pacinian corpuscle, nerve, vein, artery, tendon, collateral ligament, volar plate, pulley A4, bone, cartilage, synovial cavity, joint capsule, epidermis and dermis. The model was applied to the conditions of arthritic joint, ruptured tendon and variations in the geometry of a finger. High-resolution magnetic resonance images along with careful segmentation proved useful in the construction of an anatomically accurate model of the human index finger. An example illustrating the utility of the model in biomedical applications is shown. As the model includes a number of tissue types, it may present a solid foundation for future simulations of various musculoskeletal disease processes in human joints.

Indexed as

Magnetic Resonance ImagingTendon InjuriesFingersHumansRadio WavesTendonshigh-resolution MRIsegmentationsimulation

Identifiers

PMID36287795
PMCPMC9611080
OpenAlexW4296829410

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.