Evidence map›Paper›PMID 32073207›Full record

ArticleJournal of magnetic resonance imaging : JMRI2020

Splenic T

Stefanie J Hectors, Octavia Bane, Daniel Stocker, Guillermo Carbonell, Sara Lewis, Paul Kennedy, Thomas D Schiano, Swan Thung, Aaron Fischman, Bachir Taouli

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Article
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  7. Is MRI relaxometry parameter TQuantitative imaging in medicine and surgery · 2020
    Article
  8. Article
  9. Noninvasive imaging assessment of portal hypertension.Abdominal radiology (New York) · 2020
    Review
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

10 authors at 4 institutions in 3 countries.

Stefanie J HectorsBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-9457-6606
Octavia BaneBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-1315-5848
Daniel StockerBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0002-1230-092X
Guillermo CarbonellBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Sara LewisBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Paul KennedyBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0003-4295-3670
Thomas D SchianoRecanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Swan ThungDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Aaron FischmanDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Bachir TaouliBioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.ORCID 0000-0001-6409-1333
Icahn School of Medicine at Mount Sinai · USCornell University · USHospital Universitario Virgen de la Arrixaca · ESUniversity of Zurich · CH

Funding

Prediction of portal pressure with liver and spleen MR Elastography and 4D flow phase-contrast MRIR01DK113272 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI TAOULI, BACHIR · 2018 to 2021
$2.0M
Advanced Software for MRI, PET, SPECT and CT Image AnalysisU24EB028980 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 2019 to 2021
$1.2M
NIBIB NIH HHS U24 EB028980NIDDK NIH HHS R01 DK113272
6 · The paper itself

Abstract

backgroundThere is a need for noninvasive methods for the diagnosis and monitoring of portal hypertension (PH). PURPOSE: To 1) assess the correlation of liver and spleen T STUDY TYPE: Prospective. SUBJECTS: Twenty-five patients (M/F 16/9, mean age 56 years, range 21-78 years) undergoing portal pressure (hepatic venous pressure gradient [HVPG]) measurements. FIELD STRENGTH/SEQUENCE: 1.5T abdominal MRI scan, including T ASSESSMENT: Liver and spleen T STATISTICAL TESTS: Spearman correlation of all MRI parameters with HVPG was assessed. The diagnostic performance of the assessed parameters for prediction of PH (HVPG ≥5 mmHg) and clinically significant PH (CSPH, HVPG ≥10 mmHg) was determined by receiver operating characteristic (ROC) analysis.

resultsThe mean HVPG measurement was 7.8 ± 5.3 mmHg (PH, n = 18 [72%] including CSPH, n = 9 [36%]). PH score, (normalized) spleen length and spleen T DATA

conclusionSpleen T LEVEL OF EVIDENCE: 1 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;52:787-794.

Indexed as

Elasticity Imaging TechniquesHypertension, PortalAdultAgedBiomarkersHumansLiverLiver CirrhosisMiddle AgedProspective StudiesSpleenYoung AdultBiomarkersliver diseaseportal hypertensionT1T1rho

Identifiers

PMID32073207
PMCPMC10249674
OpenAlexW3007380238

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.