Preliminary Evaluation of Virtual Touch Tissue Imaging Quantification for Differential Diagnosis of Metastatic and Nonmetastatic Cervical Lymph Nodes.

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Preliminary Evaluation of Virtual Touch Tissue Imaging Quantification for Differential Diagnosis of Metastatic and Nonmetastatic Cervical Lymph Nodes.

J Ultrasound Med. 2017 Jan 27;:

Authors: Zhao Y, Xi J, Zhao B, Xiong W, Jiang D, Yang L, Cai Z, Liu T, Jiang H, Rong S, Jin X

Abstract
OBJECTIVES: Virtual Touch tissue imaging quantification (VTIQ; Siemens Medical Solutions, Mountain View, CA) is useful for assessing tissue hardness. This study aimed to investigate the value of VTIQ in differential diagnosis of cervical lymph nodes.
METHODS: We retrospectively analyzed conventional sonograms and VTIQ images of 85 pathologically confirmed patients with superficial lymph node lesions. Conventional sonography was first performed, with 2-dimensional images described. Then VTIQ shear wave velocity (SWV) values of superficial lymph nodes were measured. With pathologic diagnosis as the reference standard, a receiver operating characteristic curve was generated to evaluate VTIQ efficacy in differential diagnosis of metastatic and nonmetastatic cervical lymph nodes.
RESULTS: Of the 85 nodes, 44 and 41 were metastatic and nonmetastatic, respectively. The latter group included 24 and 17 hematologic/lymphatic system disease and reactive hyperplastic nodes, respectively. Shear wave velocity values of metastatic nodes were significantly higher than those of their nonmetastatic counterparts (P < .001). With an area under the curve (AUC) of 0.953 and SWV cutoff of 3.27 m/s, accuracy, sensitivity, and specificity were 89.4%, 88.6%, and 90.2%, respectively, for distinguishing metastatic and nonmetastatic nodes. An AUC of 0.943 and SWV cutoff of 3.23 m/s yielded accuracy, sensitivity, and specificity of 88.2%, 88.6%, and 87.5% for differentiating metastatic from hematologic/lymphatic system disease nodes. Finally, an AUC of 0.968 and SWV cutoff of 3.27 m/s yielded accuracy, sensitivity, and specificity of 90.2%, 88.6%, and 94.1% for differentiating metastatic from reactive hyperplastic nodes.
CONCLUSIONS: Virtual Touch tissue imaging quantification is efficient in differential diagnosis of metastatic and nonmetastatic cervical lymph nodes.

PMID: 28127781 [PubMed - as supplied by publisher]

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