4.0 Article

Automated workflow for volumetric assessment of signal intensity ratio on T1-weighted MR images after multiple gadolinium administrations

Journal

JOURNAL OF MEDICAL IMAGING
Volume 8, Issue 1, Pages -

Publisher

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS
DOI: 10.1117/1.JMI.8.1.014005

Keywords

GBCA; gadolinium retention; dentate nucleus; globus pallidus

Funding

  1. Bayer Healthcare

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The study aimed to develop a fully automated software for evaluating the presence of gadolinium in the brain after serial injections of linear gadolinium-based contrast agent. Results showed that the automatic processing worked effectively on all studies, providing analysis of SI ratios in deep brain tissues.
Purpose: Repeated injections of linear gadolinium-based contrast agent (GBCA) have shown correlations with increased signal intensities (SI) on unenhanced T1-weighted (T1w) images. Assessment is usually performed manually on a single slice and the SI as an average of a free-hand region-of-interest is reported. We aim to develop a fully automated software that segments and computes SI ratio of dentate nucleus (DN) to pons (DN/P) and globus pallidus (GP) to thalamus (GP/T) for the assessment of gadolinium presence in the brain after a serial GBCA administrations. Approach: All patients (N = 113) underwent at least eight GBCA enhanced scans. The modal SI in the DN, GP, pons, and thalamus were measured volumetrically on unenhanced T1w images and corrected based on the reference protocol (measurement 1) and compared to the SI-uncorrected-modal-volume (measurement 2), SI-corrected-mean-volume (measurement 3), as well as SI-corrected-modal-single slice (measurement 4) approaches. Results: Automatic processing worked on all 2119 studies (1150 at 1.5 T and 969 at 3 T). DN/P were 1.085 +/- 0.048 (1.5 T) and 0.979 +/- 0.061 (3 T). GP/T were 1.084 +/- 0.039 (1.5 T) and 1.069 +/- 0.042 (3 T). Modal DN/P ratios from volumetric assessment at 1.5 T failed to show a statistical difference with or without SI corrections (p = 0.71). All other t-tests demonstrated significant differences (measurement 2, 3, 4 compared to 1, p < 0.001). Conclusion: The fully automatic method is an effective powerful tool to streamline the analysis of SI ratios in the deep brain tissues. Divergent SI ratios using different approaches reinforces the need to standardize the measurement for the research in this field. (C) 2021 Society of Photo-Optical Instrumentation Engineers (SPIE)

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