Literature DB >> 20599336

Calcium scoring with prospectively ECG-triggered CT: using overlapping datasets generated with MPR decreases inter-scan variability.

A Rutten1, I Isgum, M Prokop.   

Abstract

OBJECTIVE: To examine the feasibility of reducing the inter-scan variability of prospectively ECG-triggered calcium-scoring scans by using overlapping 3-mm datasets generated from multiplanar reformation (MPR) instead of non-overlapping 3-mm or 1.5-mm datasets. PATIENTS AND METHODS: Seventy-five women (59-79 years old) underwent two sequential prospectively ECG-triggered calcium-scoring scans with 16 mm×1.5mm collimation in one session. Between the two scans patients got off and on the table. We performed calcium scoring (Agatston and mass scores) on the following datasets: contiguous 3-mm sections reconstructed from the raw data (A), contiguous 3-mm sections from MPR (B), overlapping 3-mm sections from MPR (C) and contiguous 1.5-mm sections from the raw data (D). To determine the feasibility of the MPR approach, we compared MPR (B) with direct raw data reconstruction (A). Inter-scan variability was calculated for each type of dataset (A-D).
RESULTS: Calcium scores ranged from 0 to 1455 (Agatston) and 0 to 279 mg (mass) for overlapping 3-mm sections (C). Calcium scores (both Agatston and mass) were nearly identical for MPR (B) and raw data approaches (A), with inter-quartile ranges of 0-1% for inter-scan variability. Median inter-scan variability with contiguous 3-mm sections (B) was 13% (Agatston) and 11% (mass). Median variability was reduced to 10% (Agatston and mass) with contiguous 1.5-mm sections (D) and to 8% (Agatston) and 7% (mass) with overlapping 3-mm MPR (A).
CONCLUSION: Calcium scoring on MPR yields nearly identical results to calcium scoring on images directly reconstructed from raw data. Overlapping MPR from prospectively ECG-triggered scans improve inter-scan variability of calcium scoring without increasing patient radiation dose.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20599336     DOI: 10.1016/j.ejrad.2010.06.009

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  5 in total

1.  Impact of automatically detected motion artifacts on coronary calcium scoring in chest computed tomography.

Authors:  Jurica Šprem; Bob D de Vos; Nikolas Lessmann; Pim A de Jong; Max A Viergever; Ivana Išgum
Journal:  J Med Imaging (Bellingham)       Date:  2018-12-11

2.  Changes in measured size of atherosclerotic plaque calcifications in dual-energy CT of ex vivo carotid endarterectomy specimens: effect of monochromatic keV image reconstructions.

Authors:  Lorenzo Mannelli; Lee M Mitsumori; Marina Ferguson; Dongxiang Xu; Baocheng Chu; Kelley R Branch; William P Shuman; Chun Yuan
Journal:  Eur Radiol       Date:  2012-08-21       Impact factor: 5.315

3.  Deep Learning-Quantified Calcium Scores for Automatic Cardiovascular Mortality Prediction at Lung Screening Low-Dose CT.

Authors:  Bob D de Vos; Nikolas Lessmann; Pim A de Jong; Ivana Išgum
Journal:  Radiol Cardiothorac Imaging       Date:  2021-04-15

4.  Coronary calcium scoring with partial volume correction in anthropomorphic thorax phantom and screening chest CT images.

Authors:  Jurica Šprem; Bob D de Vos; Nikolas Lessmann; Robbert W van Hamersvelt; Marcel J W Greuter; Pim A de Jong; Tim Leiner; Max A Viergever; Ivana Išgum
Journal:  PLoS One       Date:  2018-12-20       Impact factor: 3.240

5.  Automated coronary artery calcification scoring in non-gated chest CT: agreement and reliability.

Authors:  Richard A P Takx; Pim A de Jong; Tim Leiner; Matthijs Oudkerk; Harry J de Koning; Christian P Mol; Max A Viergever; Ivana Išgum
Journal:  PLoS One       Date:  2014-03-13       Impact factor: 3.240

  5 in total

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