Program Information

The Application of Texture Analysis for Differentiation of Central Cancer From Atelectasis

M Gao*, T Fan , J Duan , Shandong Tumor Hospital, Jinan, Shandong province

Presentations

SU-E-E-16 (Sunday, July 12, 2015) 3:00 PM - 6:00 PM Room: Exhibit Hall

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.

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