Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/88746
PIRA download icon_1.1View/Download Full Text
Title: Quantification of intranodal vascularity by computer pixel-counting method enhances the accuracy of ultrasound in distinguishing metastatic and tuberculous cervical lymph nodes
Authors: Cheng, SCH 
Ahuja, AT
Ying, M 
Issue Date: Nov-2019
Source: Quantitative imaging in medicine and surgery, Nov. 2019, , v. 9, no. 11, p. 1773-1780
Abstract: Background: Ultrasound is a common imaging method for assessment of cervical lymph nodes. However, metastatic and tuberculous lymph nodes have similar sonographic features in routine ultrasound examination. Computer-aided assessment could be a potential adjunct to enhance the accuracy of differential diagnosis.
Methods: Gray-scale and power Doppler sonograms of 100 patients with palpable cervical lymph nodes were reviewed and analyzed (60 metastatic nodes, 40 tuberculous nodes). Final diagnosis of lymph nodes was based on fine needle aspiration and cytology. Sonograms were reviewed and assessed for nodal shape, echogenic hilus, intranodal necrosis and vascular distribution (conventional assessment). Intranodal vascularity was quantified using a customized computer algorithm to determine vascularity index (VI). The diagnostic accuracy of using conventional assessment and its combination with intranodal VI method was evaluated and compared.
Results: Metastatic and tuberculous nodes tended to be round (75.0% vs. 50.0%), without echogenic hilus (86.7% vs. 72.5%) and have peripheral vascularity (73.3% vs. 85.0%). Intranodal necrosis is more common in tuberculous nodes (27.5%) than metastatic nodes (8.3%). Using conventional assessment in differentiating metastatic and tuberculous nodes, the diagnostic accuracy was 56% with a sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of 56.7%, 55%, 65.4% and 45.8% respectively. The VI of metastatic nodes (23.4%+/- 2.1%) was significantly higher than that of tuberculous nodes (12.0%+/- 1.6%) (P<0.05). The optimum cut-off of VI for the differential diagnosis was 20%. By combining conventional assessment and intranodal VI quantification, the diagnostic accuracy was increased to 69% with a sensitivity, specificity, PPV and NPV of 80%, 52.5%, 71.6%, 63.6% respectively. The increase in sensitivity was statistically significant (P=0.006).
Conclusions: Computer-aided quantification of intranodal vascularity provides added value in routine ultrasound assessment of cervical lymph nodes. It enhances the accuracy of ultrasound in distinguishing metastatic and tuberculous cervical lymph nodes.
Keywords: Computer-assisted image processing
Ultrasonography
Lymph nodes
Lymphatic metastasis
Tuberculosis
Publisher: AME Publishing Company
Journal: Quantitative imaging in medicine and surgery 
ISSN: 2223-4292
EISSN: 2223-4306
DOI: 10.21037/qims.2019.10.02
Rights: © Quantitative Imaging in Medicine and Surgery. All rights reserved.
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) (https://creativecommons.org/licenses/by-nc-nd/4.0/)
The following publication Cheng SCH, Ahuja AT, Ying M. Quantification of intranodal vascularity by computer pixelcounting method enhances the accuracy of ultrasound in distinguishing metastatic and tuberculous cervical lymph nodes. Quant Imaging Med Surg 2019;9(11):1773-1780 is available at https://dx.doi.org/10.21037/qims.2019.10.02
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Cheng_Quantification_Intranodal_Vascularity.pdf882.74 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

50
Last Week
0
Last month
Citations as of Apr 28, 2024

Downloads

28
Citations as of Apr 28, 2024

SCOPUSTM   
Citations

3
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

4
Last Week
0
Last month
Citations as of May 2, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.