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Erschienen in: Neuroradiology 11/2019

06.09.2019 | Spinal Neuroradiology

Diagnostic accuracy of diffusion tensor imaging in differentiating malignant from benign compressed vertebrae

verfasst von: Ahmed Abdel Khalek Abdel Razek, Fatma Mohamed Sherif

Erschienen in: Neuroradiology | Ausgabe 11/2019

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Abstract

Purpose

To study diagnostic accuracy of diffusion tensor imaging (DTI) in differentiating malignant from benign compressed vertebrae.

Methods

This study was done on 43 patients with compressed vertebrae on conventional magnetic resonance study that underwent DTI. The mean diffusivity (MD) and fractional anisotropy (FA) of malignant (n = 24) and benign (n = 19) compressed vertebrae were calculated by two readers.

Results

There was a significantly lower (P = 0.001) MD of both readers between malignant (0.74 ± 0.2 and 0.78 ± 0.2 × 10−3 mm2/s) and benign (1.67 + 0.3 and 1.63 ± 0.3 × 10−3 mm2/s) compressed vertebrae. The FA of malignant compressed vertebrae of both readers (0.55 ± 0.2 and 0.52 ± 0.1) was significantly higher (P = 0.001) than that of benign (0.26 ± 0.1 and 0.28 ± 0.1) compressed vertebrae. There was excellent inter-reader agreement between both readers using MD (K = 0.91) and FA (K = 0.86). The thresholds of MD and FA used for differentiating malignant from benign compressed vertebrae of both readers were 1.15 and 1.16 × 10−3 mm2/s and 0.37 and 0.34 with area under the curve (AUC) of 0.98, 0.96, 0.93, and 0.92 and diagnostic accuracy of 95.3%, 88.4%, 90.1%, and 86.0% respectively. Combined MD and FA revealed AUC of 0.99 and 0.97 and diagnostic accuracy of 95.3% and 93.0% by both readers respectively.

Conclusion

DTI is a non-invasive technique providing accurate imaging parameters that can be used for differentiating malignant from benign compressed vertebrae.
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Metadaten
Titel
Diagnostic accuracy of diffusion tensor imaging in differentiating malignant from benign compressed vertebrae
verfasst von
Ahmed Abdel Khalek Abdel Razek
Fatma Mohamed Sherif
Publikationsdatum
06.09.2019
Verlag
Springer Berlin Heidelberg
Erschienen in
Neuroradiology / Ausgabe 11/2019
Print ISSN: 0028-3940
Elektronische ISSN: 1432-1920
DOI
https://doi.org/10.1007/s00234-019-02286-x

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