Texture analysis of lung nodules
Principal Investigator
Name
Daniel Rubin
Degrees
MD, MS
Institution
Stanford University
Position Title
Assistant Professor
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-80
Initial CDAS Request Approval
Jul 14, 2014
Title
Texture analysis of lung nodules
Summary
Our goal is to develop quantitative image analysis methods to distinguish benign and malignant nodules based on quantitative texture analysis of images. We will apply our methods to the NLST data with a mixture of benign and malignant nodules with the goal of automatically predicting the nodule type based in the image analysis.
Aims
1. Develop the quantitative texture algorithm
2. Apply the algorithm to all NLST cases in which nodules size is greater than 7mm.
3. Using cross validation, optimize and text algorithm for ability to separate benign and malignant diagnoses
Collaborators
Deni Aberle, MD