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Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features.

A Lecler1,2, L Duron3,4, D Balvay4

  • 1Department of Neuroradiology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France. alecler@for.paris.

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Different MRI sequences yield reproducible radiomics features for lacrimal gland tumors. DIXON T2-WI and post-contrast DIXON T1-WI sequences provided the most features, contributing to potential biomarkers.

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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Lacrimal gland tumors require accurate diagnostic tools.
  • Radiomics analysis of medical imaging offers potential for quantitative biomarker extraction.
  • Evaluating the contribution of different Magnetic Resonance Imaging (MRI) sequences is crucial for optimizing radiomics feature extraction.

Purpose of the Study:

  • To assess the relative contribution of various MRI sequences in extracting radiomics features from lacrimal gland tumors.
  • To determine the reproducibility and redundancy of radiomics features derived from different MRI sequences.
  • To identify optimal MRI sequences for radiomics analysis in this patient cohort.

Main Methods:

  • Prospective study of 37 patients with lacrimal gland lesions undergoing MRI (T1-WI, Diffusion-WI, DIXON-T2-WI, post-contrast DIXON-T1-WI).
  • Manual delineation of lacrimal glands by two readers for inter- and intra-observer reproducibility assessment.
  • Extraction of 85 radiomics features per region-of-interest using in-house software, with reproducible features defined by intra-class and concordance correlation coefficients.
  • Hierarchical clustering used to identify redundant features and non-redundant clusters.

Main Results:

  • All evaluated MRI sequences generated reproducible radiomics features.
  • DIXON T2-WI (water and in-phase) and post-contrast DIXON T1-WI (water and in-phase) sequences yielded the highest number of features and non-redundant clusters.
  • Combining all MRI sequences resulted in 145 reproducible features grouped into 51 independent clusters.
  • The range of reproducible features per sequence was 14 (16%) to 37 (44%), with 5 to 14 non-redundant clusters.

Conclusions:

  • All MRI sequences contribute reproducible radiomics features for lacrimal gland tumors.
  • DIXON T2-WI and post-contrast DIXON T1-WI sequences are particularly valuable for comprehensive radiomics analysis.
  • The pooled radiomics features from all sequences provide a rich, independent information set with potential for biomarker development.