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Automated workflow for volumetric assessment of signal intensity ratio on T1-weighted MR images after multiple gadolinium administrations.
Liu, Chia-Ying; Ramos, Marc; Moreno-Dominguez, David; Prckovska, Vesna; Rodrigues, Paulo; Blank, Markus; Moser, Franklin G; Agris, Jacob.
Afiliação
  • Liu CY; US Medical Affairs, Bayer HealthCare, Whippany, New Jersey, United States.
  • Ramos M; QMENTA Inc., Boston, Massachusetts, United States.
  • Moreno-Dominguez D; QMENTA Inc., Boston, Massachusetts, United States.
  • Prckovska V; QMENTA Inc., Boston, Massachusetts, United States.
  • Rodrigues P; QMENTA Inc., Boston, Massachusetts, United States.
  • Blank M; US Medical Affairs, Bayer HealthCare, Whippany, New Jersey, United States.
  • Moser FG; S. Mark Taper Foundation Imaging Center, Cedars Sinai Medical Center, Department of Imaging, Los Angeles, California, United States.
  • Agris J; US Medical Affairs, Bayer HealthCare, Whippany, New Jersey, United States.
J Med Imaging (Bellingham) ; 8(1): 014005, 2021 Jan.
Article em En | MEDLINE | ID: mdl-33649733
ABSTRACT

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 freehand 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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Med Imaging (Bellingham) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Med Imaging (Bellingham) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos