Lymph node characterization in vivo using endoscopic ultrasound spectrum analysis with electronic array echo endoscopes.
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.
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA. research@kumonweb.com
R E
RE
Kumon
A
A
Repaka
M
M
Atkinson
A L
AL
Faulx
R C K
RC
Wong
G A
GA
Isenberg
Y-S
YS
Hsiao
M S R
MS
Gudur
C X
CX
Deng
A
A
Chak
D019540:Area Under Curve; D019160:Endosonography / Q000295:instrumentation* / Q000379:methods; D004938:Esophageal Neoplasms / Q000473:pathology; D005583:Fourier Analysis; D046152:Gastrointestinal Stromal Tumors / Q000556:secondary; D006801:Humans; D008175:Lung Neoplasms / Q000473:pathology; D008198:Lymph Nodes / Q000000981:diagnostic imaging* / Q000473:pathology*; D008207:Lymphatic Metastasis; D008223:Lymphoma / Q000473:pathology; D009369:Neoplasms / Q000473:pathology*; D010190:Pancreatic Neoplasms / Q000473:pathology; D012372:ROC Curve; D012004:Rectal Neoplasms / Q000473:pathology; D012815:Signal Processing, Computer-Assisted