Open AccessUltrasound elastography in pathological enlarged cervical lymph nodes compared to histopathology
Author(s) -
Doaa Ibrahim Hasan,
Ayman Ahmed,
Rasha Haggag,
Abd El Motaleb Mohamed
Publication year - 2016
Publication title -
the egyptian journal of radiology and nuclear medicine /the egyptian journal of radiology and nuclear medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.19
H-Index - 13
eISSN - 2090-4762
pISSN - 0378-603X
DOI - 10.1016/j.ejrnm.2016.07.008
Subject(s) - histopathology , medicine , pathological , cervical lymph nodes , elastography , ultrasound , radiology , lymph , ultrasound elastography , pathology , metastasis , cancer
ObjectiveTo detect the diagnostic efficiency of ultrasound elastography in differentiation between benign and malignant enlarged cervical lymph nodes.Patient and methodsThis study included 27 patients, ranging in age from 21 to 70 years. Enlarged cervical lymph nodes were defined in this study as those nodes having short axis measuring more than 8 mm. Approval was taken from our hospital institutional review board and an informed consent was obtained from each patient before participating in the study. All patients were subjected to B-mode ultrasound and ultrasound elastography.ResultsB-mode score had the highest sensitivity in this study (sensitivity=100%) and the least specificity and positive predictive value. Ultrasound Elastography (UE) and strain ration (SR) showed higher specificity (75%) and PPV (81.3% and 82.4% respectively). There was a statistical significant difference between the diagnostic performance of ES and B-mode score (p=0.034), and a nearly significant difference between SR and B-mode score (p=0.059). ROC curve analysis for SR measurements (cutoff value ⩾1.62) showed sensitivity=93.3%, specificity=75% and overall accuracy=85.2%. However, no statistically significant difference was shown between the performance of ES and SR (p=0.317).ConclusionHardness on more than 50% of the node surface and SR>1.62 are fair to good indicators of malignancy