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Gastrointest Endosc. 2010 Jan;71(1):53-63. doi: 10.1016/j.gie.2009.08.027. Epub 2009 Nov 17.

In vivo characterization of pancreatic and lymph node tissue by using EUS spectrum analysis: a validation study.

Author information

1
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109-2099, USA.

Abstract

BACKGROUND:

Quantitative spectral analysis of the radiofrequency (RF) signals that underlie grayscale EUS images can be used to provide additional, objective information about tissue state.

OBJECTIVE:

Our purpose was to validate RF spectral analysis as a method to distinguish between (1) benign and malignant lymph nodes and (2) normal pancreas, chronic pancreatitis, and pancreatic cancer.

DESIGN AND SETTING:

A prospective validation study of eligible patients was conducted to compare with pilot study RF data.

PATIENTS:

Forty-three patients underwent EUS of the esophagus, stomach, pancreas, and surrounding intra-abdominal and mediastinal lymph nodes (19 from a previous pilot study and 24 additional patients).

MAIN OUTCOME MEASUREMENTS:

Midband fit, slope, intercept, and correlation coefficient from a linear regression of the calibrated RF power spectra were determined.

RESULTS:

Discriminant analysis of mean pilot-study parameters was then performed to classify validation-study parameters. For benign versus malignant lymph nodes, midband fit and intercept (both with t test P < .058) provided classification with 67% accuracy and area under the receiver operating curve (AUC) of 0.86. For diseased versus normal pancreas, midband fit and correlation coefficient (both with analysis of variance P < .001) provided 93% accuracy and an AUC of 0.98. For pancreatic cancer versus chronic pancreatitis, the same parameters provided 77% accuracy and an AUC of 0.89. Results improved further when classification was performed with all data.

LIMITATIONS:

Moderate sample size and spatial averaging inherent to the technique.

CONCLUSIONS:

This study confirms that mean spectral parameters provide a noninvasive method to quantitatively discriminate benign and malignant lymph nodes as well as normal and diseased pancreas.

PMID:
19922913
PMCID:
PMC2900783
DOI:
10.1016/j.gie.2009.08.027
[Indexed for MEDLINE]
Free PMC Article
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