Evidence map›Paper›PMID 30230096›Full record

ArticleJournal of magnetic resonance imaging : JMRI2019

Diffusion Tensor Imaging of the Calf Muscles in Subjects With and Without Diabetes Mellitus.

Masoud Edalati, Mary K Hastings, Christopher J Sorensen, Mohamed Zayed, Michael J Mueller, Charles F Hildebolt, Jie Zheng

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Quantative MRI predicts tendon mechanical behavior, collagen composition, and organization.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  6. Journal of orthopaedic translation · 2023
    Review
  7. Article
  8. 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 1 country.

Masoud EdalatiMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Mary K HastingsProgram in Physical Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Christopher J SorensenProgram in Physical Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Mohamed ZayedDepartment of Surgery, Section of Vascular Surgery, Washington University School of Medicine, St. Louis, Missouri, USA.
Michael J MuellerProgram in Physical Therapy, Washington University School of Medicine, St. Louis, Missouri, USA.
Charles F HildeboltMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Jie ZhengMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Washington University in St. Louis · USMallinckrodt (United States) · US

Funding

Microcirculatory Function in Diabetic Foot Muscles with MRIR01DK105322 · NIDDK · WASHINGTON UNIVERSITY · PI HASTINGS, MARY K, ZHENG, JIE · 2016 to 2019
$2.2M
THE ROLE OF PHOSPHOLIPOGENESIS IN DIABETIC PERIPHERAL ARTERIAL DISEASEK08HL132060 · NHLBI · WASHINGTON UNIVERSITY · PI ZAYED, MOHAMED A. · 2017 to 2021
$466k
Characterization of Microcirculatory Function in Diabetic Leg and Foot with MRIR21AR065672 · NIAMS · WASHINGTON UNIVERSITY · PI ZHENG, JIE · 2014 to 2015
$380k
NHLBI NIH HHS K08 HL132060NIAMS NIH HHS R21 AR065672NIDDK NIH HHS R01 DK105322
6 · The paper itself

Abstract

backgroundDiffusion tensor imaging (DTI) has been used to characterize calf skeletal muscle architecture. PURPOSE: To assess the diffusional properties of the calf muscles of subjects with and without diabetes, at rest and during isometric plantarflexion exercise. STUDY TYPE: Prospective. SUBJECTS: Twenty-six subjects in two groups: 13 healthy and 13 subjects with type 2 diabetes (DM); each group consisted of seven females and six males. FIELD STRENGTH/SEQUENCE: 3T/2D single-shot spin echo planar imaging. ASSESSMENT: Fractional anisotropy (FA), mean diffusivity (MD), diffusion eigenvalues, and fiber tracking indices were obtained from the medial gastrocnemius (MG), lateral gastrocnemius (LG), and soleus (SOL) muscles of the calf at rest and during isometric plantarflexion exercise. STATISTICAL TESTS: We used a combination of nonparametric (Wilcoxon) and parametric (t-test) statistical assessments.

resultsThe medial gastrocnemius muscle had more indices with significant differences between the two groups (six indices with P < 0.05) than did the lateral gastrocnemius (three indices with P < 0.05) and soleus muscles (only one index with P < 0.05). While the healthy group showed elevated MD values from rest to exercise (MG = 5.83%, LG = 13.45%, and SOL = 11.68%), the diabetic MD showed higher increases (MG = 19.74%, LG = 29.31%, and SOL = 20.84%) that were different between groups (MG: P = 0.009, LG: P = 0.037, and SOL: P = 0.049). DATA

conclusionOur results indicate considerable diffusional changes between healthy subjects and subjects with diabetes at rest and during isometric plantarflexion exercise in the calf muscles. The medial gastrocnemius muscle displayed the most diffusion sensitivity to diabetes-related microstructural changes. LEVEL OF EVIDENCE: 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1285-1295.

Indexed as

Diabetes Mellitus, Type 2AdultAgedAnisotropyDiffusion Tensor ImagingEcho-Planar ImagingFemaleHumansLegMaleMiddle AgedMuscle, SkeletalPilot ProjectsProspective Studies

Identifiers

PMID30230096
PMCPMC6424658
OpenAlexW2891540948

What OpenQuestion holds

Textmetadata
LicenceTDM
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.