Evidence map›Paper›PMID 35360924›Full record

Trial reportCirculation. Cardiovascular imaging2022

Synthetic Extracellular Volume in Cardiac Magnetic Resonance Without Blood Sampling: a Reliable Tool to Replace Conventional Extracellular Volume.

Wensu Chen, Patrick Doeblin, Sarah Al-Tabatabaee, Karin Klingel, Radu Tanacli, Karl Jakob Weiß, Christian Stehning, Amit R Patel, Burkert Pieske, Jiangang Zou and 1 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Circulation. Cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Cardiovascular magnetic resonance for therapy monitoring in cardiomyopathies.European heart journal. Imaging methods and practice · 2026
    Review
  3. Article
  4. Advanced myocardial characterization and function with cardiac CT.The international journal of cardiovascular imaging · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Quantification of myocardial extracellular volume without blood sampling.European heart journal. Imaging methods and practice · 2023
    Article
  20. 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 7 institutions in 3 countries.

Wensu ChenDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Germany (W.C., P.D., S.A.-T., R.T., K.J.W., B.P., S.K.).ORCID 0000-0002-8956-3672
Patrick DoeblinDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Germany (W.C., P.D., S.A.-T., R.T., K.J.W., B.P., S.K.).ORCID 0000-0002-1511-8015
Sarah Al-TabatabaeeDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Germany (W.C., P.D., S.A.-T., R.T., K.J.W., B.P., S.K.).
Karin KlingelDepartment of Cardiopathology, Institute for Pathology and Neuropathology, University Hospital Tuebingen, Germany (K.K.).ORCID 0000-0003-0203-2498
Radu TanacliDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Germany (W.C., P.D., S.A.-T., R.T., K.J.W., B.P., S.K.).ORCID 0000-0002-2193-9813
Karl Jakob WeißDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Germany (W.C., P.D., S.A.-T., R.T., K.J.W., B.P., S.K.).ORCID 0000-0002-2801-2017
Christian StehningPhilips Clinical Science, Hamburg, Germany (C.S.).
Amit R PatelDepartment of Medicine and Radiology, University of Chicago, IL (A.R.P.).
Burkert PieskeDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Germany (W.C., P.D., S.A.-T., R.T., K.J.W., B.P., S.K.).
Jiangang ZouDepartment of Cardiology, First Affiliated Hospital, Nanjing Medical University, China (J.Z.).ORCID 0000-0003-0926-3846
Sebastian KelleDepartment of Internal Medicine/Cardiology, German Heart Center Berlin, Germany (W.C., P.D., S.A.-T., R.T., K.J.W., B.P., S.K.).ORCID 0000-0001-8105-6599
German Centre for Cardiovascular Research · DEBerlin Heart (Germany) · DENanjing Medical University · CNPhilips (Germany) · DEUniversity of Chicago · USUniversity of Tübingen · DEXuzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe calculation of extracellular volume (ECV) in cardiac magnetic resonance requires hematocrit, limiting its applicability in clinical practice. Based on the linear relationship between hematocrit and blood T1 relaxivity, a synthetic ECV could be estimated without a blood sample. We aim to develop and test regression models for synthetic ECV without blood sampling in 1.5-T and 3.0-T scanners.

methodsA total of 1101 subjects who underwent cardiac magnetic resonance scanning with native and postcontrast T1 mapping and venous hematocrit within 24 hours were retrospectively enrolled. Subjects were randomly split into derivation (n=550) and validation (n=551) subgroups for each scanner. Different regression models were derived controlling for sex, field strength, and left ventricle/right ventricle blood pool and validated in the validation group. We performed additional validation analyses in subgroups of patients with histological validation (n=17), amyloidosis (n=29), anemia (n=185), and reduced ejection fraction (n=322).

resultsIn the derivation group, 8 specific models and 2 common estimate models were derived. In the validation group, using specific models, synthetic ECV had high agreement with conventional ECV (R

conclusionsSynthetic ECV provided a promising way to calculate ECV without blood sampling. Specific models could provide the most accurate value, while common models could be more suitable in routine clinical practice because of their simplicity while maintaining adequate accuracy.

Indexed as

Magnetic Resonance Imaging, CineMyocardiumContrast MediaFibrosisHumansMagnetic Resonance SpectroscopyPredictive Value of TestsReproducibility of ResultsRetrospective StudiesContrast Mediacardiac magnetic resonanceextracellular volumehematocritsyntheticT1 mapping

Identifiers

PMID35360924
PMCPMC9015035
OpenAlexW4224250847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.