Evidence map›Paper›PMID 28032913›Full record

ArticleMedical physics2017

Correction of hysteretic respiratory motion in SPECT myocardial perfusion imaging: Simulation and patient studies.

Paul K R Dasari, Arda Könik, P Hendrik Pretorius, Karen L Johnson, William P Segars, Mohammed S Shazeeb, Michael A King

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Improving perfusion defect detection with respiratory motion correction in cardiac SPECT at standard and reduced doses.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  4. Advances in dual respiratory and ECG-gated SPECT imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    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 4 institutions in 1 country.

Paul K R DasariDepartment of Radiology, Division of Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Arda KönikDepartment of Radiology, Division of Nuclear Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA.
P Hendrik PretoriusDepartment of Radiology, Division of Nuclear Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA.
Karen L JohnsonDepartment of Radiology, Division of Nuclear Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA.
William P SegarsDepartment of Radiology, Carl E. Ravin Advanced Imaging Laboratory, Duke University Medical Center, Durham, NC, 27705, USA.
Mohammed S ShazeebDepartment of Radiology, Division of Nuclear Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA.
Michael A KingDepartment of Radiology, Division of Nuclear Medicine, University of Massachusetts Medical School, Worcester, MA, 01655, USA.
University of Massachusetts Chan Medical School · USAdvanced Imaging Research (United States) · USUniversity of Maryland, Baltimore · USWorcester Polytechnic Institute · US

Funding

Simulation Tools for Dynamic CTR01EB001838 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2005 to 2023
$6.9M
PATIENT MOTION DETECTION AND COMPENSATION IN SPECTR01EB001457 · NIBIB · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI KING, MICHAEL A · 2003 to 2013
$5.7M
Probing Dose Limits in Cardiac SPECT with Reconstruction and Personalized ImagingR01HL122484 · NHLBI · ILLINOIS INSTITUTE OF TECHNOLOGY · PI KING, MICHAEL A, WERNICK, MILES N · 2014 to 2018
$3.9M
NHLBI NIH HHS R01 HL122484NIBIB NIH HHS R01 EB001457NIBIB NIH HHS R01 EB001838
6 · The paper itself

Abstract

purposeAmplitude-based respiratory gating is known to capture the extent of respiratory motion (RM) accurately but results in residual motion in the presence of respiratory hysteresis. In our previous study, we proposed and developed a novel approach to account for respiratory hysteresis by applying the Bouc-Wen (BW) model of hysteresis to external surrogate signals of anterior/posterior motion of the abdomen and chest with respiration. In this work, using simulated and clinical SPECT myocardial perfusion imaging (MPI) studies, we investigate the effects of respiratory hysteresis and evaluate the benefit of correcting it using the proposed BW model in comparison with the abdomen signal typically employed clinically.

methodsThe MRI navigator data acquired in free-breathing human volunteers were used in the specially modified 4D NCAT phantoms to allow simulating three types of respiratory patterns: monotonic, mild hysteresis, and strong hysteresis with normal myocardial uptake, and perfusion defects in the anterior, lateral, inferior, and septal locations of the mid-ventricular wall. Clinical scans were performed using a Tc-99m sestamibi MPI protocol while recording respiratory signals from thoracic and abdomen regions using a visual tracking system (VTS). The performance of the correction using the respiratory signals was assessed through polar map analysis in phantom and 10 clinical studies selected on the basis of having substantial RM.

resultsIn phantom studies, simulations illustrating normal myocardial uptake showed significant differences (P < 0.001) in the uniformity of the polar maps between the RM uncorrected and corrected. No significant differences were seen in the polar map uniformity across the RM corrections. Studies simulating perfusion defects showed significantly decreased errors (P < 0.001) in defect severity and extent for the RM corrected compared to the uncorrected. Only for the strong hysteretic pattern, there was a significant difference (P < 0.001) among the RM corrections. The errors in defect severity and extent for the RM correction using abdomen signal were significantly higher compared to that of the BW (severity = -4.0%, P < 0.001; extent = -65.4%, P < 0.01) and chest (severity = -4.1%, P < 0.001; extent = -52.5%, P < 0.01) signals. In clinical studies, the quantitative analysis of the polar maps demonstrated qualitative and quantitative but not statistically significant differences (P = 0.73) between the correction methods that used the BW signal and the abdominal signal.

conclusionsThis study shows that hysteresis in respiration affects the extent of residual motion left in the RM-binned data, which can impact wall uniformity and the visualization of defects. Thus, there appears to be the potential for improved accuracy in reconstruction in the presence of hysteretic RM with the BW model method providing a possible step in the direction of improvement.

Indexed as

MovementRespirationAbdomenArtifactsCardiac-Gated Imaging TechniquesComputer SimulationHeartHumansMagnetic Resonance ImagingModels, BiologicalMotionMyocardial Perfusion ImagingPhantoms, ImagingRadiopharmaceuticalsTechnetium Tc 99m SestamibiTomography, Emission-Computed, Single-PhotonRadiopharmaceuticalsTechnetium Tc 99m Sestamibicardiac imaginghysteresisrespiratory motionSPECT

Identifiers

PMID28032913
PMCPMC5344194
OpenAlexW2564467629

What OpenQuestion holds

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Registered trials

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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.