Use this url to cite publication: https://hdl.handle.net/20.500.12512/105987
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Impact of Automation on Interstudy Reproducibility of Biventricular Volume and Function Quantification using Cardiovascular Magnetic Resonance / Sören Jan Backhaus, Andreas Schuster, Marcus Billing, Seyedeh Mahsa Zamani, Jennifer Erley, Tomas Lapinskas, Gerd Hasenfuß, Sebastian Kelle, Johannes T. Kowallick
Type of publication
Konferencijų tezės nerecenzuojamame leidinyje / Conference theses in non-peer-reviewed publication (T2)
Author(s)
Backhaus, Sören Jan | University Medical Centre Goettingen, Germany |
Schuster, Andreas | University Medical Center Göttingen, Germany |
Billing, Marcus | University Medical Centre Goettingen, Germany |
Zamani, Seyedeh Mahsa | DHZB, Germany |
Erley, Jennifer | German Heart Center Berlin, Germany |
Hasenfuss, Gerd | University Medical Center Göttingen, Germany |
Kelle, Sebastian | DHZB, Berlin, Germany |
Kowallick, Johannes Tammo | University Medical Center Göttingen |
Title
Impact of Automation on Interstudy Reproducibility of Biventricular Volume and Function Quantification using Cardiovascular Magnetic Resonance / Sören Jan Backhaus, Andreas Schuster, Marcus Billing, Seyedeh Mahsa Zamani, Jennifer Erley, Tomas Lapinskas, Gerd Hasenfuß, Sebastian Kelle, Johannes T. Kowallick
Publisher (trusted)
Society for Cardiovascular Magnetic Resonance (SCMR) |
Date Issued
Date Issued |
---|
2020-02-12 |
Extent
p. 637-638 : lent.
Is part of
SCMR 23rd Annual Scientific Sessions „Transforming Cardiovascular Caro Throigh Discoverles in Imagings” : February 12-15, 2020, Orlando, Florida, US : abstract proceedings / Society for Cardiovascular Magnetic Resonance (SCMR). Mount Royal, NJ, USA : Society for Cardiovascular Magnetic Resonance (SCMR), 2020.
Version
Originalus / Original
Description
no. P013, ID#: 749587
Autonomous CMR - Hardware & Software.
Field of Science
Abstract
Background: Cardiovascular magnetic resonance (CMR) imaging provides reliable assessments of biventricular morphology and function. For manual post-processing is time-consuming and prone to observer variability novel fully automated volumetric quantification software has been introduced. Since it is not known to what extent the inter-study reproducibility of CMR biventricular volume quantification can be further improved using fully-automated software we sought to compare fully automated and manual volume quantification on serial CMR investigations. Methods: Eighteen participants (11 with normal, 3 with heart failure and preserved and 4 with reduced ejection fraction (EF)) underwent CMR imaging in median 63 days (range 49-87) apart. Short axis cine stacks were acquired for the evaluation of left ventricular (LV) mass, LV and right ventricular (RV) end-diastolic (EDV), end-systolic (ESV) and stroke volumes as well as EF. Assessments were performed using manual (QMass®, Medis Medical Imaging Systems, Leiden, Netherlands) as well as fully automated software (suiteHEART®, Neosoft, Pewaukee, Wisconsin, USA) without any manual corrections by an experienced (3 years) and inexperienced observer (no active reporting, 45 minutes of training with 5 cases from the SCMR consensus data). Results: Inter-study reproducibility was overall excellent with respect to LV volumetric indices (Table 1), best for the experienced observer (intraclass correlation coefficient (ICC) >0.98, coefficient of variation (CoV) < 9.6%) closely followed by automated analyses (ICC >0.93, CoV < 12.4%)) and lowest for manual analysis by the inexperienced observer (ICC >0.86, CoV < 18.8%). Reproducibility of RV volumes was excellent for the experienced observer (ICC >0.88, CoV < 10.7%) but considerably lower for automated and inexperienced manual analyses (ICC >0.69 and >0.46, CoV < 22.8 and < 28.7 respectively). Conclusion: Fully automated analyses[...].
Type of document
type::text::conference output::conference proceedings::conference paper
Other Identifier(s)
(LSMU ALMA)990001003870107106
Coverage Spatial
Jungtinės Amerikos Valstijos / United States of America (US)
Language
Anglų / English (en)