Evidence map›Paper›PMID 30860287›Full record

ArticleMagnetic resonance in medicine2019

Analysis of magnetization transfer (MT) influence on quantitative mapping of T

Dvir Radunsky, Tamar Blumenfeld-Katzir, Osnat Volovyk, Assaf Tal, Daniel Barazany, Galia Tsarfaty, Noam Ben-Eliezer

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Combined ADC and TMagnetic resonance in medicine · 2026
    Article
  2. Article
  3. Importance of RMagnetic resonance in medicine · 2026
    Article
  4. Article
  5. Article
  6. High-resolution quantitative TImaging neuroscience (Cambridge, Mass.) · 2025
    Article
  7. Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Article
  8. Article
  9. Article
  10. Three-dimensional high-resolution TMagnetic resonance in medicine · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Fast TMagnetic resonance in medicine · 2020
    Article
  16. 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 3 institutions in 2 countries.

Dvir RadunskyDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Tamar Blumenfeld-KatzirDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Osnat VolovykDepartment of Chemical Physics, The Weizmann Institute, Rehovot, Israel.
Assaf TalDepartment of Chemical Physics, The Weizmann Institute, Rehovot, Israel.
Daniel BarazanyStrauss computational neuroimaging center, Tel Aviv University, Tel Aviv, Israel.
Galia TsarfatyDepartment of Diagnostic Imaging, Sheba Medical Center, Ramat Gan, Israel.
Noam Ben-EliezerDepartment of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.ORCID 0000-0003-2944-6412
Tel Aviv University · ILWeizmann Institute of Science · ILSheba Medical Center · IL

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

purposeMulti-echo spin-echo (MESE) protocol is the most effective tool for mapping T

methodsStudy used 3 models: in vitro urea phantom, ex vivo horse brain, and in vivo human brain. MT ratio (MTR) was measured between single-SE and MESE protocols under different scan settings including varying echo train lengths, number of slices, and inter-slice gap. MTR and T

resultsMT interactions biased MESE signals, and in certain settings, the corresponding T

conclusionsMT influences MESE protocols either by uniformly attenuating the entire echo train or by cumulatively attenuating the signal along the train. Although both processes depend on scan settings and MMP content, only the latter will cause underestimation of T

Indexed as

AdultAlgorithmsAnimalsBrainHorsesHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMalePhantoms, Imagingmagnetization transfer (MT)MRI signal modelsmulti spin-echoquantitative MRIT2 mappingT2 relaxation

Identifiers

PMID30860287
PMCPMC7053148
OpenAlexW2921365507

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.