4.2 Article

Diagnostic Accuracy of Quantitative Imaging Biomarkers in the Differentiation of Benign and Malignant Vertebral Lesions Combination of Diffusion-Weighted and Proton Density Fat Fraction Spine MRI

Journal

CLINICAL NEURORADIOLOGY
Volume 31, Issue 4, Pages 1059-1070

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00062-021-01009-1

Keywords

Chemical-shift imaging; Diffusion magnetic resonance imaging; Bone marrow neoplasms; Spinal fractures; Fat quantification

Funding

  1. Projekt DEAL

Ask authors/readers for more resources

The study aimed to compare and combine the diagnostic performance of ADC from DWI and PDFF from CSE-based MRI in distinguishing benign and malignant vertebral bone marrow lesions. Results showed that ADC and PDFF values were significantly lower in malignant lesions compared to benign lesions, and the combination of both parameters improved diagnostic accuracy in differentiating benign and malignant VBMLs, yielding a high diagnostic accuracy.
Purpose To compare and combine the diagnostic performance of the apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging (DWI) and proton density fat fraction (PDFF) derived from chemical-shift encoding (CSE)-based water-fat magnetic resonance imaging (MRI) for distinguishing benign and malignant vertebral bone marrow lesions (VBML). Methods A total of 55 consecutive patients with 53 benign (traumatic, inflammatory and primary) and 36 malignant (metastatic and hematologic) previously untreated VBMLs were prospectively enrolled in this IRB-approved study and underwent sagittal DWI (single-shot spin-echo echo-planar with multi-slice short TI inversion recovery fat suppression) and CSE-based MRI (gradient-echo 6-point modified Dixon) in addition to routine clinical spine MRI at 1.5 T or 3.0 T. Diagnostic reference standard was established according to histopathology or imaging follow-up. The ADC = ADC (0, 800) and PDFF = fat / (water + fat) were calculated voxel-wise and examined for differences between benign and malignant lesions. Results The ADC and PDFF values of malignant lesions were significantly lower compared to benign lesions (mean ADC 861 x 10(-6) mm(2)/s vs. 1323 x 10(-6) mm(2)/s, p < 0.001; mean PDFF 3.1% vs. 28.2%, p < 0.001). The areas under the curve (AUC) and diagnostic accuracies were 0.847 (p < 0.001) and 85.4% (cut-off at 1084.4 x 10(-6) mm(2)/s) for ADC and 0.940 (p < 0.001) and 89.9% for PDFF (cut-off at 7.8%), respectively. The combined use of ADC and PDFF improved the diagnostic accuracy to 96.6% (malignancy if ADC <= 1118.2 x 10(-6) mm(2)/s and PDFF <= 20.0%, otherwise benign). Conclusion Quantitative evaluation of both ADC and PDFF was useful in differentiating benign VBMLs from malignancy. The combination of ADC and PDFF improved the diagnostic performance and yielded high diagnostic accuracy for the differentiation of benign and malignant VBMLs.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available