Sensitivity of Myocardial Radiomic Features to Imaging Parameters in Cardiac MR Imaging.
MR imaging parameters
cardiac MR
radiomic features
sensitivity
Journal
Journal of magnetic resonance imaging : JMRI
ISSN: 1522-2586
Titre abrégé: J Magn Reson Imaging
Pays: United States
ID NLM: 9105850
Informations de publication
Date de publication:
09 2021
09 2021
Historique:
revised:
04
02
2021
received:
22
06
2020
accepted:
13
02
2021
pubmed:
3
3
2021
medline:
14
8
2021
entrez:
2
3
2021
Statut:
ppublish
Résumé
Cardiac magnetic resonance (MR) images are often collected with different imaging parameters, which may impact the calculated values of myocardial radiomic features. To investigate the sensitivity of myocardial radiomic features to changes in imaging parameters in cardiac MR images. Prospective. A total of 11 healthy participants/five patients. A 3 T/cine balanced steady-state free-precession, T Myocardial contours were manually delineated by experienced readers, and a total of 1023 radiomic features were extracted using PyRadiomics with 11 image filters and six feature families. Sensitivity was defined as the standardized mean difference (D effect size), and the robust features were defined at sensitivity < 0.2. Sensitivity analysis was performed on predefined sets of reproducible features. The analysis was performed using the entire cohort of 16 subejcts. 64% of radiomic features were robust (sensitivity < 0.2) to changes in any imaging parameter. In qualitative sequences, radiomic features were most sensitive to changes in in-plane spatial resolution (spatial resolution: 0.6 vs. flip angle: 0.19, parallel imaging: 0.18, slice thickness: 0.07; P < 0.01 for all); in quantitative sequences, radiomic features were least sensitive to changes in spatial resolution (spatial resolution: 0.07 vs. slice thickness: 0.16, flip angle: 0.24; P < 0.01 for all). In an individual feature level, no singular feature family/image filter was identified as robust (sensitivity < 0.2) across sequences; however, highly sensitive features were predominantly associated with high-frequency wavelet filters across all sequences (32/50 features). In cardiac MR, a considerable number of radiomic features are sensitive to changes in sequence parameters. 1 TECHNICAL EFFICACY: Stage 1.
Sections du résumé
BACKGROUND
Cardiac magnetic resonance (MR) images are often collected with different imaging parameters, which may impact the calculated values of myocardial radiomic features.
PURPOSE
To investigate the sensitivity of myocardial radiomic features to changes in imaging parameters in cardiac MR images.
STUDY TYPE
Prospective.
POPULATION
A total of 11 healthy participants/five patients.
FIELD STRENGTH/ SEQUENCE
A 3 T/cine balanced steady-state free-precession, T
ASSESSMENT
Myocardial contours were manually delineated by experienced readers, and a total of 1023 radiomic features were extracted using PyRadiomics with 11 image filters and six feature families.
STATISTICAL TESTS
Sensitivity was defined as the standardized mean difference (D effect size), and the robust features were defined at sensitivity < 0.2. Sensitivity analysis was performed on predefined sets of reproducible features. The analysis was performed using the entire cohort of 16 subejcts.
RESULTS
64% of radiomic features were robust (sensitivity < 0.2) to changes in any imaging parameter. In qualitative sequences, radiomic features were most sensitive to changes in in-plane spatial resolution (spatial resolution: 0.6 vs. flip angle: 0.19, parallel imaging: 0.18, slice thickness: 0.07; P < 0.01 for all); in quantitative sequences, radiomic features were least sensitive to changes in spatial resolution (spatial resolution: 0.07 vs. slice thickness: 0.16, flip angle: 0.24; P < 0.01 for all). In an individual feature level, no singular feature family/image filter was identified as robust (sensitivity < 0.2) across sequences; however, highly sensitive features were predominantly associated with high-frequency wavelet filters across all sequences (32/50 features).
DATA CONCLUSION
In cardiac MR, a considerable number of radiomic features are sensitive to changes in sequence parameters.
EVIDENCE LEVEL
1 TECHNICAL EFFICACY: Stage 1.
Identifiants
pubmed: 33650227
doi: 10.1002/jmri.27581
pmc: PMC9190024
mid: NIHMS1708065
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
787-794Subventions
Organisme : American Heart Association
ID : 15EIA22710040
Organisme : NHLBI NIH HHS
ID : R01 HL154744
Pays : United States
Organisme : National Institute of Health
ID : 1R01HL129185-01
Organisme : NHLBI NIH HHS
ID : R01 HL129157
Pays : United States
Organisme : National Institute of Health
ID : 1R01HL127015
Organisme : NHLBI NIH HHS
ID : R01 HL129185
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL127015
Pays : United States
Organisme : National Institute of Health
ID : 1R01HL129157
Organisme : National Institute of Health
ID : 1R01HL154744
Informations de copyright
© 2021 International Society for Magnetic Resonance in Medicine.
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