Optical differentiation between malignant and benign lymphadenopathy by grey scale texture analysis of endobronchial ultrasound convex probe images

Nguyen, Phan, Bashirzadeh, Farzad, Hundloe, Justin, Salvado, Olivier, Dowson, Nicholas, Ware, Robert, Masters, Ian Brent, Bhatt, Manoj, Kumar, Aravind Ravi and Fielding, David (2012) Optical differentiation between malignant and benign lymphadenopathy by grey scale texture analysis of endobronchial ultrasound convex probe images. Chest, 141 3: 709-715. doi:10.1378/chest.11-1016

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Author Nguyen, Phan
Bashirzadeh, Farzad
Hundloe, Justin
Salvado, Olivier
Dowson, Nicholas
Ware, Robert
Masters, Ian Brent
Bhatt, Manoj
Kumar, Aravind Ravi
Fielding, David
Title Optical differentiation between malignant and benign lymphadenopathy by grey scale texture analysis of endobronchial ultrasound convex probe images
Journal name Chest   Check publisher's open access policy
ISSN 0012-3692
1931-3543
Publication date 2012-03
Year available 2011
Sub-type Article (original research)
DOI 10.1378/chest.11-1016
Open Access Status
Volume 141
Issue 3
Start page 709
End page 715
Total pages 7
Place of publication Northbrook, IL, United States
Publisher American College of Chest Physicians
Collection year 2012
Language eng
Formatted abstract
Background:
Morphologic and sonographic features of endobronchial ultrasound (EBUS) convex probe images are helpful in predicting metastatic lymph nodes. Grey scale texture analysis is a well-established methodology that has been applied to ultrasound images in other fi elds of medicine.
The aim of this study was to determine if this methodology could differentiate between benign and malignant lymphadenopathy of EBUS images.

Methods:

Lymph nodes from digital images of EBUS procedures were manually mapped to obtain a region of interest and were analyzed in a prediction set. The regions of interest were analyzed for the following grey scale texture features in MATLAB (version 7.8.0.347 [R2009a]): mean pixel value, difference between maximal and minimal pixel value, SEM pixel value, entropy, correlation, energy, and homogeneity. Signifi cant grey scale texture features were used to assess a validation
set compared with fl uoro-D-glucose (FDG)-PET-CT scan fi ndings where available.

Results:
Fifty-two malignant nodes and 48 benign nodes were in the prediction set. Malignant nodes had a greater difference in the maximal and minimal pixel values, SEM pixel value, entropy, and correlation, and a lower energy ( P , .0001 for all values). Fifty-one lymph nodes were in the validation set; 44 of 51 (86.3%) were classifi ed correctly. Eighteen of these lymph nodes also had FDG-PET-CT scan assessment, which correctly classifi ed 14 of 18 nodes (77.8%), compared
with grey scale texture analysis, which correctly classifi ed 16 of 18 nodes (88.9%).

Conclusions:
Grey scale texture analysis of EBUS convex probe images can be used to differentiate malignant and benign lymphadenopathy. Preliminary results are comparable to FDG-PET-CT scan.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online before print September 1, 2011

 
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Created: Wed, 15 Feb 2012, 10:29:15 EST by Roheen Gill on behalf of UQ Centre for Clinical Research