Author of

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  O28 - Endoscopy (ID 124)

  • Event: WCLC 2013
  • Type: Oral Abstract Session
  • Track: Pulmonology + Endoscopy/Pulmonary
  • Presentations: 1
  • Moderators:F.J. Herth, N. Ikeda
  • Coordinates: 10/30/2013, 10:30 - 12:00, Parkside Auditorium, Level 1

  • 13047

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    O28.02 - Grey Scale Texture Analysis of Endobronchial Ultrasound Mini Probe Guide Sheath Images for Prediction of Benign or Malignant Aetiology. (ID 1059)

    10:40 - 10:50  |  Author(s): I.B. Masters
    • Abstract
    • Presentation
    • Slides

    Background
    Expert analysis of endobronchial ultrasound (EBUS) images obtained with the mini probe (MP) has established certain subjective criteria for predicting benign or malignant disease. Minimal data is available for objective analysis of these images. The aim of this study was to determine if greyscale texture analysis of EBUS-MP images could differentiate between benign and malignant peripheral lung lesions.

    Methods
    Digital EBUS-MP images with contrast set at 4 and gain set at 10 were included in this study. A region of interest (ROI) was mapped for each image and analysed in a prediction set. The ROIs were analysed for the following greyscale texture features in MATLAB (v7.8.0.347 (R2009a)); mean pixel value, difference between maximum and minimum pixel value, standard deviation of the mean pixel value, entropy, correlation, energy and homogeneity. Significant greyscale texture features were used to assess a validation set. Figure 1

    Results
    Eighty-five peripheral lung lesions were in the prediction set (47 malignant and 38 benign). Benign lesions had larger differences between maximum and minimum pixel values, larger standard deviations of the mean pixel values and a higher entropy than malignant lesions (p<0.0001 for all values). Eighty two peripheral lesions were in the validation set; 63/82 (76.8%) were correctly classified. Of these 45/49(91.8%) malignant lesions and 18/33 (54.5%) benign lesions were correctly classified. The negative predictive value for malignancy was 82% and the positive predictive value was 75%. Figure 1

    Conclusion
    Greyscale texture analysis of EBUS-MP images could assist in differentiating between benign and malignant peripheral lung lesions but tissue diagnosis is still important.

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