Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/61365
Title: Diagnostic accuracy of computer-aided assessment of intranodal vascularity in distinguishing different causes of cervical lymphadenopathy
Authors: Ying, M 
Cheng, SCH
Ahuja, AT
Keywords: Blood vessels
Computer assisted
Image processing
Lymph nodes
Power Doppler
Ultrasonography
Vascularity index
Issue Date: 2016
Publisher: Elsevier
Source: Ultrasound in medicine and biology, 2016, v. 42, no. 8, p. 2010-2016 How to cite?
Journal: Ultrasound in medicine and biology 
Abstract: Ultrasound is useful in assessing cervical lymphadenopathy. Advancement of computer science technology allows accurate and reliable assessment of medical images. The aim of the study described here was to evaluate the diagnostic accuracy of computer-aided assessment of the intranodal vascularity index (VI) in differentiating the various common causes of cervical lymphadenopathy. Power Doppler sonograms of 347 patients (155 with metastasis, 23 with lymphoma, 44 with tuberculous lymphadenitis, 125 reactive) with palpable cervical lymph nodes were reviewed. Ultrasound images of cervical nodes were evaluated, and the intranodal VI was quantified using a customized computer program. The diagnostic accuracy of using the intranodal VI to distinguish different disease groups was evaluated and compared. Metastatic and lymphomatous lymph nodes tend to be more vascular than tuberculous and reactive lymph nodes. The intranodal VI had the highest diagnostic accuracy in distinguishing metastatic and tuberculous nodes with a sensitivity of 80%, specificity of 73%, positive predictive value of 91%, negative predictive value of 51% and overall accuracy of 68% when a cutoff VI of 22% was used. Computer-aided assessment provides an objective and quantitative way to evaluate intranodal vascularity. The intranodal VI is a useful parameter in distinguishing certain causes of cervical lymphadenopathy and is particularly useful in differentiating metastatic and tuberculous lymph nodes. However, it has limited value in distinguishing lymphomatous nodes from metastatic and reactive nodes.
URI: http://hdl.handle.net/10397/61365
ISSN: 0301-5629
EISSN: 1879-291X
DOI: 10.1016/j.ultrasmedbio.2016.03.014
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