Evidence map›Paper›PMID 41319330›Full record

ArticleJournal of magnetic resonance imaging : JMRI2026

Fully Automated Plane Prescription in Cardiac MRI: A Prospective Cohort Study.

Benjamin Böttcher, Felix G Meinel, Karolin K Deyerberg, Lena-Maria Watzke, Mathias Manzke, Margarita Gorodezky, Gaspar Delso, Antonia Dalmer, Anne Nerger, Marc-André Weber and 1 more

Abstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Fully automated free-breathing cardiac magnetic resonance imaging at 3T: A prospective randomized study of image quality, efficiency, and workflow burden.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
    Article
  2. Review
  3. Fully Automated Plane Prescription in Cardiac MRI: A Prospective Cohort Study.Journal of magnetic resonance imaging : JMRI · 2026
    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.

Benjamin BöttcherInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0009-0008-7892-8251
Felix G MeinelInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0002-3201-1033
Karolin K DeyerbergInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.
Lena-Maria WatzkeInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.
Mathias ManzkeInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.
Margarita GorodezkyGE HealthCare, Munich, Germany.
Gaspar DelsoGE HealthCare, Barcelona, Spain.
Antonia DalmerInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0001-7440-1171
Anne NergerInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.
Marc-André WeberInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.ORCID https://orcid.org/0000-0003-3918-8066
Ann-Christin KlemenzInstitute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate plane positioning is important for high-quality cardiac MRI images but requires specialized training, limiting accessibility. PURPOSE: To evaluate an automated plane positioning tool and compare it with manual planning. STUDY TYPE: Prospective. POPULATION: Fifty-seven healthy volunteers (28 males; median age 42 years) and 20 consecutive patients (15 males; median age 61 years) scheduled for clinical cardiac MRI. FIELD STRENGTH/SEQUENCE: Steady state free precession cine sequence at 1.5 T. ASSESSMENT: In volunteers, short-axis (SAX), 2-chamber (2CH), 3-chamber (3CH), and 4-chamber (4CH) cine images were acquired using both automated and manual prescription. Two blinded radiologists (5 and 6 years of clinical cardiac MRI experience) rated plane quality on a Likert scale (1 = nondiagnostic to 5 = excellent). Mean plane angle differences between manual and automated prescriptions were calculated. Left and right ventricular end-systolic volume (ESV), end-diastolic volume (EDV), stroke volume (SV), and ejection fraction (EF) were compared. In patients, the number of required manual corrections to automated prescriptions was recorded. STATISTICAL ANALYSIS: Wilcoxon matched-pairs signed rank tests and Bland-Altman analyses, significance level at p ≤ 0.05.

resultsAutomated plane positioning was successful in all volunteers. Image plane quality did not differ significantly between automated (mean score 4.64) and manual prescription (4.62, p = 0.812). Mean angle differences were 6.7° ± 4.3° (SAX), 10.3° ± 5.8° (2CH), 8.9° ± 5.1° (3CH), and 8.0° ± 4.8° (4CH). Volumetric parameters showed no significant differences between both planning methods with mean biases being -0.5 mL, p = 0.305 (LVEDV), 0.5 mL, p = 0.683 (LVESV), -1.0 mL, p = 0.168 (LVSV) and 0.4%, and p = 0.215 (LVEF). In patients, 8.8% (7/80) of automatically prescribed planes required minor corrections; 91.2% (73/80) were accepted without adjustments. DATA

conclusionAutomated plane positioning for cardiac MRI may provide high-quality images and accurate volumetric assessment comparable to manual planning. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 2.

Indexed as

HeartImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance Imaging, CineAdultAgedCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesReproducibility of ResultsStroke Volumeartificial intelligenceautomated workflowcardiac

Identifiers

PMID41319330
PMCPMC12891750

What OpenQuestion holds

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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.