Document Type
Article
Publication Date
1-2012
Publication Title
Endoscopy
Abstract
Our purpose was to demonstrate the use of radiofrequency spectral analysis to distinguish between benign and malignant lymph nodes with data obtained using electronic array echo endoscopes, as we have done previously using mechanical echo endoscopes. In a prospective study, images were obtained from eight patients with benign-appearing lymph nodes and 11 with malignant lymph nodes, as verified by fine-needle aspiration. Midband fit, slope, intercept, correlation coefficient, and root-mean-square (RMS) deviation from a linear regression of the calibrated power spectra were determined and compared between the groups. Significant differences were observable for mean midband fit, intercept, and RMS deviation (t test P < 0.05). For benign (n = 16) vs. malignant (n = 12) lymph nodes, midband fit and RMS deviation provided classification with 89 % accuracy and area under receiver operating characteristic (ROC) curve of 0.95 based on linear discriminant analysis. We concluded that the mean spectral parameters of the backscattered signals from electronic array echo endoscopy can provide a noninvasive method to quantitatively discriminate between benign and malignant lymph nodes.
Volume
44
Issue
6
First Page
618
Last Page
621
DOI
10.1055/s-0032-1306774
ISSN
0013-726X
Rights Statement
© Georg Thieme Verlag KG Stuttgart, 2012. Posted with permission.
Recommended Citation
Kumon, Ronald; Repaka, Aparna; Atkinson, Matthew; Faulx, Ashley L.; Wong, Richard C.K.; Isenberg, Gerard A.; Hsiao, Yi-Sing; Gudur, Madhu Sudhan Reddy; Deng, Cheri X.; and Chak, Amitabh, "Lymph Node Characterization in Vivo Using Endoscopic Ultrasound Spectrum Analysis With Electronic Array Echo Endoscopes" (2012). Physics Publications. 30.
https://digitalcommons.kettering.edu/physics_facultypubs/30
Comments
The authors would like to acknowledge Olympus for making the RF data available and for providing technical information about the EU-ME1 system.
This work was supported by University Hospitals Case Medical Center and the University of Michigan. Amitabh Chak was sup- ported by a K24 Midcareer Award in Patient Oriented Research, National Institutes of Health (Grant DK002800).