Evidence map›Paper›PMID 37874445›Full record

ArticleThe international journal of cardiovascular imaging2024

Cardiac and respiratory motion extraction for MRI using pilot tone-a patient study.

Chong Chen, Yingmin Liu, Orlando P Simonetti, Matthew Tong, Ning Jin, Mario Bacher, Peter Speier, Rizwan Ahmad

Open access · greenAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2024. 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
–field-weighted citation impact, top 100% 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, 0 citations in OpenAlex.

  1. Article
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  5. Motion-robust free-running volumetric cardiovascular MRI.Magnetic resonance in medicine · 2024
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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

8 authors at 3 institutions in 2 countries.

Chong ChenDepartment of Biomedical Engineering, The Ohio State University, Columbus, US. Chong.Chen@osumc.edu.
Yingmin LiuDavis Heart & Lung Research Institute, The Ohio State University, Columbus, US.
Orlando P SimonettiDavis Heart & Lung Research Institute, The Ohio State University, Columbus, US.
Matthew TongDavis Heart & Lung Research Institute, The Ohio State University, Columbus, US.
Ning JinSiemens Medical Solutions USA, Inc, Columbus, US.
Mario BacherSiemens Healthcare GmbH, Erlangen, Germany.
Peter SpeierSiemens Healthcare GmbH, Erlangen, Germany.
Rizwan AhmadDepartment of Biomedical Engineering, The Ohio State University, Columbus, US.
Lung Institute · USSiemens Healthcare (Germany) · DEThe Ohio State University · US

Funding

A comprehensive valvular heart disease assessment with stress cardiac MRIR01HL151697 · NHLBI · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN · 2021 to 2025
$3.3M
A New Paradigm for Rapid, Accurate Cardiac Magnetic Resonance ImagingR01HL135489 · NHLBI · OHIO STATE UNIVERSITY · PI AHMAD, RIZWAN · 2017 to 2021
$3.0M
NHLBI NIH HHS R01 HL135489NHLBI NIH HHS R01 HL151697
6 · The paper itself

Abstract

This study aims to evaluate the accuracy and reliability of the cardiac and respiratory signals extracted from Pilot Tone (PT) in patients clinically referred for cardiovascular MRI. Twenty-three patients were scanned under free-breathing conditions using a balanced steady-state free-precession real-time (RT) cine sequence on a 1.5T scanner. The PT signal was generated by a built-in PT transmitter integrated within the body array coil, and retrospectively processed to extract respiratory and cardiac signals. For comparison, ECG and BioMatrix (BM) respiratory sensor signals were also synchronously recorded. To assess the performances of PT, ECG, and BM, cardiac and respiratory signals extracted from the RT cine images were used as the ground truth. The respiratory motion extracted from PT correlated positively with the image-derived respiratory signal in all cases and showed a stronger correlation (absolute coefficient: 0.95 ± 0.09) than BM (0.72 ± 0.24). For the cardiac signal, PT trigger jitter (standard deviation of PT trigger locations relative to ECG triggers) ranged from 6.6 to 83.3 ms, with a median of 21.8 ms. The mean absolute difference between the PT and corresponding ECG cardiac cycle duration was less than 5% of the average ECG RR interval for 21 out of 23 patients. We did not observe a significant linear dependence (p > 0.28) of PT delay and PT jitter on the patients' BMI or cardiac cycle duration. This study demonstrates the potential of PT to monitor both respiratory and cardiac motion in patients clinically referred for cardiovascular MRI.

Indexed as

Cardiac-Gated Imaging TechniquesMagnetic Resonance Imaging, CineHumansMagnetic Resonance ImagingMotionPredictive Value of TestsReproducibility of ResultsRetrospective StudiesCardiovascular magnetic resonanceMotion extractionPilot tone

Identifiers

PMID37874445
PMCPMC10842141
OpenAlexW4221142872

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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.