Characterization of pancreatic cancer and intra-abdominal lymph node malignancy using spectrum analysis of endoscopic ultrasound imaging.
This study assessed the ability of spectral analysis of endoscopic ultrasound (EUS) RF signals acquired in humans in vivo to distinguish between (1) benign and malignant intraabdominal and mediastinal lymph nodes and (2) pancreatic cancer, chronic pancreatitis, and normal pancreas. Mean midband fit, slope, intercept, and correlation coefficient from a linear regression of the calibrated RF power spectra were computed over regions of interest defined by the endoscopist. Linear discriminant analysis was then performed to develop a classification of the resulting spectral parameters. For lymph nodes, classification based on the midband fit and intercept provided 67% sensitivity, 82% specificity, and 73% accuracy for malignant vs. benign nodes. For pancreas, classification based on midband fit and correlation coefficient provided 95% sensitivity, 93% specificity, and 93% accuracy for diseased vs. normal pancreas and 85% sensitivity, 71% specificity, and 85% accuracy for pancreatic cancer vs. chronic pancreatitis. These promising results suggest that mean spectral parameters can provide a non-invasive method to quantitatively characterize pancreatic cancer and lymph malignancy in vivo.
Kumon
Ronald E
RE
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA. kumon@ieee.org
Pollack
Michael J
MJ
Faulx
Ashley L
AL
Olowe
Kayode
K
Farooq
Farees T
FT
Chen
Victor K
VK
Zhou
Yun
Y
Wong
Richard C K
RC
Isenberg
Gerard A
GA
Sivak
Michael V
MV
Chak
Amitabh
A
Deng
Cheri X
CX
D000005:Abdomen; D002138:Calibration; D004067:Digestive System Neoplasms / Q000000981:diagnostic imaging / Q000453:epidemiology / Q000401:mortality; D019160:Endosonography / Q000379:methods*; D006801:Humans; D008198:Lymph Nodes / Q000000981:diagnostic imaging*; D008223:Lymphoma / Q000000981:diagnostic imaging*; D010179:Pancreas / Q000000981:diagnostic imaging; D010190:Pancreatic Neoplasms / Q000000981:diagnostic imaging*; D019047:Phantoms, Imaging; D011237:Predictive Value of Tests; D012372:ROC Curve; D012680:Sensitivity and Specificity; D014463:Ultrasonography / Q000379:methods*; D014481:United States / Q000453:epidemiology