Evidence map›Paper›PMID 31631410›Full record

ArticleMagnetic resonance in medicine2020

CEST MRI quantification procedures for breast cancer treatment-related lymphedema therapy evaluation.

Rachelle Crescenzi, Paula M C Donahue, Helen Mahany, Sarah K Lants, Manus J Donahue

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Imaging Modalities for Evaluating Lymphedema.Medicina (Kaunas, Lithuania) · 2023
    Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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

5 authors at 2 institutions in 1 country.

Rachelle CrescenziDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0003-1008-4570
Paula M C DonahuePhysical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee.
Helen MahanyDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.
Sarah K LantsDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.
Manus J DonahueDepartment of Radiology, Vanderbilt University Medical Center, Nashville, Tennessee.
Vanderbilt University Medical Center · USVanderbilt Health · US

Funding

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
NINR NIH HHS R01 NR015079
6 · The paper itself

Abstract

purposeTo quantify chemical exchange saturation transfer contrast in upper extremities of participants with lymphedema before and after standardized lymphatic mobilization therapy using correction procedures for B

methodsFemales with (n = 12) and without (n = 17) breast cancer treatment-related lymphedema (BCRL) matched for age and body mass index were scanned at 3.0T MRI. B

resultsB

conclusionChemical exchange saturation transfer metrics, following appropriate correction procedures, respond to lymphatic mobilization therapies and may have potential for evaluating treatments in participants with secondary lymphedema.

Indexed as

Breast Cancer LymphedemaBreast NeoplasmsLymphedemaAxillaFemaleHumansMagnetic Resonance ImagingarmsB1 correctionCESTlymphlymphedemamanual lymphatic drainageMRIproteintherapy

Identifiers

PMID31631410
PMCPMC6982565
OpenAlexW2982285691

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.