Texture analysis of lung nodules

Principal Investigator

Name
Daniel Rubin

Degrees
MD, MS

Institution
Stanford University

Position Title
Assistant Professor

Email
dlrubin@stanford.edu

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