Accession Number : AD1016369


Title :   Improving the Diagnostic Specificity of CT for Early Detection of Lung Cancer: 4D CT-Based Pulmonary Nodule Elastometry


Descriptive Note : Technical Report,15 Jul 2012,14 Jul 2015


Corporate Author : Stanford University Menlo Park United States


Personal Author(s) : Maxim,Peter G ; Loo,Billy W


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1016369.pdf


Report Date : 01 Oct 2015


Pagination or Media Count : 32


Abstract : In this study we propose to develop and validate pulmonary nodule elastometry imaging, a method complementary to CT that has the potential to increase the specificity of screening for early detection of lung cancer. We propose to address the need for thegreater specificity in lung cancer screening by characterizing a mechanical property of pulmonary lesions, specifically pulmonary nodule (PN)elasticity, in addition to standard anatomic features. We hypothesize that malignant and benign PN can be distinguished more specifically by different elasticities determined from 4D CT images. The specific aims of the study were the development of pulmonary nodule elastometryalgorithms based on deformable image processing of 4D CT images and their validation in an animal model and in a retrospective review ofover 200 4D CT scans from patients with small malignant pulmonary nodules previously treated with radiation in our department. We have successfully developed algorithms, and in a first validation we have demonstrated proof of principles that elastometry can distinguish malignant PNs from surrounding lung tissue (a manuscript is in preparation). The validation in animal models and the retrospective analysis of the human data is ongoing.


Descriptors :   lung cancer , medical screening , image registration , xray computed tomography , lymphatic system , algorithms , neoplasms , radiation oncology , statistical analysis , therapeutics , ultrasounds , biological detection , signs and symptoms


Distribution Statement : APPROVED FOR PUBLIC RELEASE