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Discrimination of Malignant versus Benign Mediastinal Lymph Nodes Using Diffusion MRI with an IVIM Model.
- Source :
-
European Radiology . Mar2018, Vol. 28 Issue 3, p1301-1309. 9p. 3 Charts, 3 Graphs. - Publication Year :
- 2018
-
Abstract
- <bold>Objectives: </bold>To investigate the value of an intravoxel incoherent motion (IVIM) diffusion model for discriminating malignant versus benign mediastinal lymph nodes (MLN).<bold>Methods: </bold>Thirty-five subjects with enlarged MLN were scanned at 1.5 Tesla. Diffusion-weighted imaging was performed with eight b-values. IVIM parameters D, D*, and f, as well as apparent diffusion coefficient (ADC) from a mono-exponential model were obtained. 91 nodes (49 malignant and 42 benign) were analysed with pathologic (n=90) or radiologic (n=1) confirmations. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance.<bold>Results: </bold>The mean values of D, ADC, and f for the malignant group were significantly lower than those for the benign group (p<0.001), while D* showed no significant difference (p=0.281). In the ROC analysis, the combination of D and f produced the largest area under the curve (0.953) compared to ADC or other individual IVIM parameters, leading to the best specificity (92.9%) and diagnostic accuracy (90.1%).<bold>Conclusion: </bold>This study demonstrates that the combination of IVIM parameters can improve differentiation between malignant and benign MLN as compared to using ADC alone.<bold>Key Points: </bold>• Diffusion MRI is useful for non-invasively discriminating malignant versus benign lymph nodes. • A mono-exponential model is not adequate to characterise diffusion process in lymph nodes. • IVIM model is advantageous over mono-exponential model for assessing lymph node malignancy. • Combination of IVIM parameters improves differentiation of malignant versus benign lymph nodes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09387994
- Volume :
- 28
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- European Radiology
- Publication Type :
- Academic Journal
- Accession number :
- 127990348
- Full Text :
- https://doi.org/10.1007/s00330-017-5049-8