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Evaluate the diagnostic performance of morphological MRI features and ADC values in cervical lymphadenopathy.

June 3, 2026HealthcareOpen Access

Multiparametric MRI Assessment of Cervical Lymphadenopathy: Combined Diagnostic Performance of Morphological Features and Apparent Diffusion Coefficient

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Retrospective diagnostic study evaluates MRI features and ADC values in cervical lymphadenopathy, indicating high performance for differentiation.

Evaluate the diagnostic performance of morphological MRI features and ADC values in cervical lymphadenopathy.
Retrospective analysis of 88 cervical lymph nodes from 39 patients.
Assessment included morphological features and ADC values using various statistical analysis methods.
MRI performed for multiple indications, including initial assessments and post-biopsy follow-up.
Malignant nodes showed significantly lower ADC values than benign nodes (p < 0.001).
ADC alone had an AUC of 0.886 with optimal cutoff at 0.900 × 10−3 mm2/s (75.8% sensitivity, 89.1% specificity).
Combined multiparametric model achieved an AUC of 0.956, outperforming ADC alone.

Taciuc et al. (2026) studied this question.

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Retrospective diagnostic study evaluates MRI features and ADC values in cervical lymphadenopathy, indicating high performance for differentiation.