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Title: SU-E-E-16: The Application of Texture Analysis for Differentiation of Central Cancer From Atelectasis

Purpose: Prospectively assess the potential utility of texture analysis for differentiation of central cancer from atelectasis. Methods: 0 consecutive central lung cancer patients who were referred for CT imaging and PET-CT were enrolled. Radiotherapy doctor delineate the tumor and atelectasis according to the fusion imaging based on CT image and PET-CT image. The texture parameters (such as energy, correlation, sum average, difference average, difference entropy), were obtained respectively to quantitatively discriminate tumor and atelectasis based on gray level co-occurrence matrix (GLCM) Results: The texture analysis results showed that the parameters of correlation and sum average had an obviously statistical significance(P<0.05). Conclusion: the results of this study indicate that texture analysis may be useful for the differentiation of central lung cancer and atelectasis.
Authors:
; ;  [1]
  1. Shandong Tumor Hospital, Jinan, Shandong province (China)
Publication Date:
OSTI Identifier:
22486657
Resource Type:
Journal Article
Resource Relation:
Journal Name: Medical Physics; Journal Volume: 42; Journal Issue: 6; Other Information: (c) 2015 American Association of Physicists in Medicine; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
60 APPLIED LIFE SCIENCES; BIOMEDICAL RADIOGRAPHY; COMPUTERIZED TOMOGRAPHY; ENTROPY; IMAGES; LUNGS; NEOPLASMS; POSITRON COMPUTED TOMOGRAPHY; RADIOTHERAPY