Evidence map›Paper›PMID 37197375›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2023

Semiautomated segmentation of lower extremity MRI reveals distinctive subcutaneous adipose tissue in lipedema: a pilot study.

Shannon L Taylor, Paula M C Donahue, Michael D Pridmore, Maria E Garza, Niral J Patel, Chelsea A Custer, Yu Luo, Aaron W Aday, Joshua A Beckman, Manus J Donahue and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

11 authors at 2 institutions in 1 country.

Shannon L TaylorVanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0003-1143-267X
Paula M C DonahueVanderbilt University Medical Center, Department of Physical Medicine and Rehabilitation, Nashville, Tennessee, United States.
Michael D PridmoreVanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, Tennessee, United States.
Maria E GarzaVanderbilt University Medical Center, Department of Neurology, Nashville, Tennessee, United States.
Niral J PatelVanderbilt University Medical Center, Department of Pediatrics, Nashville, Tennessee, United States.
Chelsea A CusterVanderbilt University Medical Center, Department of Neurology, Nashville, Tennessee, United States.
Yu LuoVanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, Tennessee, United States.
Aaron W AdayVanderbilt University Medical Center, Vanderbilt Translational and Clinical Cardiovascular Research Center, Division of Cardiovascular Medicine, Nashville, Tennessee, United States.ORCID https://orcid.org/0000-0001-6243-3432
Joshua A BeckmanVanderbilt University Medical Center, Vanderbilt Translational and Clinical Cardiovascular Research Center, Division of Cardiovascular Medicine, Nashville, Tennessee, United States.
Manus J DonahueVanderbilt University Medical Center, Department of Neurology, Nashville, Tennessee, United States.
Rachelle L CrescenziVanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States.
Vanderbilt University Medical Center · USVanderbilt University · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
Quantification of Glymphatic Dysfunction in Patients with Alzheimer's Disease and Related DementiasR01NR015079 · NINR · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DONAHUE, MANUS J · 2014 to 2022
$3.9M
Visualizing vascular mechanisms of lipedemaR01HL157378 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CRESCENZI, RACHELLE L · 2021 to 2025
$2.5M
Imaging sodium and lymphatics in lymphedemaR01HL155523 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CRESCENZI, RACHELLE L · 2021 to 2025
$2.4M
Replacement and Upgrade of a 3T MR Scanner for ResearchS10OD021771 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2016
$2.0M
The Impact of Thrombosis and Antithrombotic Therapy on Peripheral Artery DiseaseK23HL151871 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ADAY, AARON W. · 2021 to 2025
$927k
NCATS NIH HHS UL1 TR002243NHLBI NIH HHS K23 HL151871NHLBI NIH HHS R01 HL155523NHLBI NIH HHS R01 HL157378NIBIB NIH HHS T32 EB001628NIH HHS S10 OD021771NINR NIH HHS R01 NR015079
6 · The paper itself

Abstract

Purpose: Lipedema is a painful subcutaneous adipose tissue (SAT) disease involving disproportionate SAT accumulation in the lower extremities that is frequently misdiagnosed as obesity. We developed a semiautomatic segmentation pipeline to quantify the unique lower-extremity SAT quantity in lipedema from multislice chemical-shift-encoded (CSE) magnetic resonance imaging (MRI). Approach: Patients with lipedema ( Results: Mean DSC for SAT segmentations was 0.96 in the calf and 0.98 in the thigh, and for muscle was 0.97 in the calf and 0.97 in the thigh. In all decades, mean SAT volume was significantly elevated in participants with versus without lipedema ( Conclusions: The semiautomated segmentation of lower-extremity SAT and muscle from CSE-MRI could enable fast multislice analysis of SAT deposition throughout the legs relevant to distinguishing patients with lipedema from females with similar BMI but without SAT disease.

Indexed as

body compositionchemical-shift-encoded magnetic resonance imaginglipedemamusculoskeletal segmentationwhole-body magnetic resonance imaging

Identifiers

PMID37197375
PMCPMC10185105
OpenAlexW4376603645

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.