Accuracy and Time-Efficiency of an Automated Software Tool to Assess Left Ventricular Parameters in Cardiac Magnetic Resonance Imaging. Issue 1 (January 2020)
- Record Type:
- Journal Article
- Title:
- Accuracy and Time-Efficiency of an Automated Software Tool to Assess Left Ventricular Parameters in Cardiac Magnetic Resonance Imaging. Issue 1 (January 2020)
- Main Title:
- Accuracy and Time-Efficiency of an Automated Software Tool to Assess Left Ventricular Parameters in Cardiac Magnetic Resonance Imaging
- Authors:
- Bartolomé, Pablo
Caballeros, Meylin
Quílez-Larragan, Almudena
Núñez-Córdoba, Jorge M.
Fernández González, Óscar
Ezponda, Ana
Bastarrika, Gorka - Abstract:
- Abstract : Purpose: Routine manual tracing of cardiac contours is time-consuming and subject to variability. A fully automated software tool may improve reading efficiency. This study was performed to assess the accuracy, reliability, and time-efficiency of a fully automated left ventricular (LV) segmentation software tool to calculate LV volumes and function compared with conventional manual contouring. Materials and Methods: Sixty-seven consecutive patients (53 male, mean age 62.5±10.9 y) underwent adenosine stress/rest perfusion cardiac magnetic resonance examination to rule out myocardial ischemia. Double-oblique short-axis 6-mm slice thickness steady-state free precession cine images were acquired to assess LV ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV), and stroke volume (SV) using manual contour tracing and a recently developed fully automated software tool. The length of time needed to obtain LV volumes with each segmentation method was also compared. Results: Compared with manual contouring, the fully automated software tool minimally underestimated LV-EF (mean difference of 2.9%±3.9%) and SV (mean difference of 4.4±8.5 mL) and slightly overestimated ESV (mean difference of −6.4±10.8 mL) and LV mass (mean difference of −14±20.4 g). EDV quantification did not statistically differ. Reliability for EF (concordance correlation coefficient [CCC]=0.92, 95% confidence interval [CI], 0.88-0.95), EDV (CCC=0.98, 95% CI, 0.97-0.99), ESVAbstract : Purpose: Routine manual tracing of cardiac contours is time-consuming and subject to variability. A fully automated software tool may improve reading efficiency. This study was performed to assess the accuracy, reliability, and time-efficiency of a fully automated left ventricular (LV) segmentation software tool to calculate LV volumes and function compared with conventional manual contouring. Materials and Methods: Sixty-seven consecutive patients (53 male, mean age 62.5±10.9 y) underwent adenosine stress/rest perfusion cardiac magnetic resonance examination to rule out myocardial ischemia. Double-oblique short-axis 6-mm slice thickness steady-state free precession cine images were acquired to assess LV ejection fraction (EF), end-diastolic volume (EDV), end-systolic volume (ESV), and stroke volume (SV) using manual contour tracing and a recently developed fully automated software tool. The length of time needed to obtain LV volumes with each segmentation method was also compared. Results: Compared with manual contouring, the fully automated software tool minimally underestimated LV-EF (mean difference of 2.9%±3.9%) and SV (mean difference of 4.4±8.5 mL) and slightly overestimated ESV (mean difference of −6.4±10.8 mL) and LV mass (mean difference of −14±20.4 g). EDV quantification did not statistically differ. Reliability for EF (concordance correlation coefficient [CCC]=0.92, 95% confidence interval [CI], 0.88-0.95), EDV (CCC=0.98, 95% CI, 0.97-0.99), ESV (CCC=0.96, 95% CI, 0.94-0.97), SV (CCC=0.93, 95% CI, 0.89-0.95), and LV mass (CCC=0.84, 95% CI, 0.76-0.89) was very good. The evaluated software allowed to quantify LV parameters with a 79% reduction in the time required for manual contouring (414.7±91 s vs. 85±16.1 s, respectively, P <0.001). Conclusion: Quantification of LV volumes using the evaluated fully automated segmentation software is accurate and time-efficient. … (more)
- Is Part Of:
- Journal of thoracic imaging. Volume 35:Issue 1(2020)
- Journal:
- Journal of thoracic imaging
- Issue:
- Volume 35:Issue 1(2020)
- Issue Display:
- Volume 35, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 35
- Issue:
- 1
- Issue Sort Value:
- 2020-0035-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-01
- Subjects:
- heart -- software analysis -- left ventricular volumes -- left ventricular ejection fraction -- magnetic resonance imaging
Chest -- Radiography -- Periodicals
Chest -- Diseases -- Diagnosis -- Periodicals
617.540757 - Journal URLs:
- http://journals.lww.com/thoracicimaging/pages/default.aspx ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/RTI.0000000000000459 ↗
- Languages:
- English
- ISSNs:
- 0883-5993
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5069.120000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 17119.xml