Prevalence and influencing factors for artifact development in breast MRI-derived maximum intensity projections
Kapsner L, Balbach E, Laun FB, Baumann L, Ohlmeyer S, Uder M, Bickelhaupt S, Wenkel E (2023)
Publication Type: Journal article
Publication year: 2023
Journal
DOI: 10.1177/02841851231198349
Abstract
Background: Magnetic resonance imaging (MRI) provides high diagnostic sensitivity for breast cancer. However, MRI artifacts may impede the diagnostic assessment. This is particularly important when evaluating maximum intensity projections (MIPs), such as in abbreviated MRI (AB-MRI) protocols, because high image quality is desired as a result of fewer sequences being available to compensate for problems. Purpose: To describe the prevalence of artifacts on dynamic contrast enhanced (DCE) MRI-derived MIPs and to investigate potentially associated attributes. Material and Methods: For this institutional review board approved retrospective analysis, MIPs were generated from subtraction series and cropped to represent the left and right breasts as regions of interest. These images were labeled by three independent raters regarding the presence of MRI artifacts. MRI artifact prevalence and associations with patient characteristics and technical attributes were analyzed using descriptive statistics and generalized linear models (GLMMs). Results: The study included 2524 examinations from 1794 patients (median age 50 years), performed on 1.5 and 3.0 Tesla MRI systems. Overall inter-rater agreement was kappa = 0.54. Prevalence of significant unilateral artifacts was 29.2% (736/2524), whereas bilateral artifacts were present in 37.8% (953/2524) of all examinations. According to the GLMM, artifacts were significantly positive associated with age (odds ratio [OR] = 1.52) and magnetic field strength (OR = 1.55), whereas a negative effect could be shown for body mass index (OR = 0.95). Conclusion: MRI artifacts on DCE subtraction MIPs of the breast, as used in AB-MRI, are a relevant topic. Our results show that, besides the magnetic field strength, further associated attributes are patient age and body mass index, which can provide possible targets for artifact reduction.
Authors with CRIS profile
Lorenz Kapsner
Institute of Radiology
Eva Balbach
Institute of Radiology
Frederik Bernd Laun
Professur für quantitative MR-Bildgebung (Heisenberg-Professur)
Sabine Ohlmeyer
Institute of Radiology
Michael Uder
Lehrstuhl für Diagnostische Radiologie
Sebastian Bickelhaupt
Institute of Radiology
Evelyn Wenkel
Medizinische Fakultät
Involved external institutions
Germany (DE)How to cite
APA:
Kapsner, L., Balbach, E., Laun, F.B., Baumann, L., Ohlmeyer, S., Uder, M.,... Wenkel, E. (2023). Prevalence and influencing factors for artifact development in breast MRI-derived maximum intensity projections. Acta Radiologica. https://dx.doi.org/10.1177/02841851231198349
MLA:
Kapsner, Lorenz, et al. "Prevalence and influencing factors for artifact development in breast MRI-derived maximum intensity projections." Acta Radiologica (2023).
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