Exploration of the volumetric composition of human lung cancer nodules in correlated histopathology and computed tomography

J.C Sieren; A.R Smith; J Thiesse; E Namati; E.A Hoffman; J.N Kline; G McLennan

doi:10.1016/j.lungcan.2011.01.023

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Exploration of the volumetric composition of human lung cancer nodules in correlated histopathology and computed tomography

Journal article

Peer reviewed

Exploration of the volumetric composition of human lung cancer nodules in correlated histopathology and computed tomography

J.C Sieren, A.R Smith, J Thiesse, E Namati, E.A Hoffman, J.N Kline and G McLennan

Lung cancer (Amsterdam, Netherlands), Vol.74(1), pp.61-68

2011

DOI: 10.1016/j.lungcan.2011.01.023

PMCID: PMC3129434

PMID: 21371772

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Abstract

Gaining a complete and comprehensive understanding of lung cancer nodule histological compositions and how these tissues are represented in radiological data is important not only for expanding the current knowledge base of cancer growth and development but also has potential implications for classification standards, radiological diagnosis methods and for the evaluation of treatment response. In this study we generate large scale histological segmentations of the cancerous and non-cancerous tissues within resected lung nodules. We have implemented a processing pipeline which allows for the direct correlation between histological data and spatially corresponding computed tomography data. Utilizing these correlated datasets we evaluated the statistical separation between Hounsfield Unit (HU) histogram values for each tissue type. The findings of this study revealed that lung cancer nodules contain a complex intermixing of cellular tissue types and that trends exist in the relationship between these tissue types. It was found that the mean Hounsfield Unit values for isolated lung cancer nodules imaged with computed tomography, had statistically significantly different values for non-solid bronchoalveolar carcinoma, solid cancerous tumor, blood, and inactive fibrotic stromal tissue.

Pathology

Heterogeneity

Hounsfield Unit

Computer aided diagnosis

Quantification

Nodule

Details

Title: Subtitle: Exploration of the volumetric composition of human lung cancer nodules in correlated histopathology and computed tomography
Creators: J.C Sieren - Departments of Internal Medicine, University of Iowa, Iowa City, IA, USA
A.R Smith - Departments of Internal Medicine, University of Iowa, Iowa City, IA, USA
J Thiesse - Departments of Internal Medicine, University of Iowa, Iowa City, IA, USA
E Namati - Departments of Internal Medicine, University of Iowa, Iowa City, IA, USA
E.A Hoffman - Biomedical Engineering, University of Iowa, Iowa City, IA, USA
J.N Kline - Departments of Internal Medicine, University of Iowa, Iowa City, IA, USA
G McLennan - Departments of Internal Medicine, University of Iowa, Iowa City, IA, USA
Resource Type: Journal article
Publication Details: Lung cancer (Amsterdam, Netherlands), Vol.74(1), pp.61-68
DOI: 10.1016/j.lungcan.2011.01.023
PMID: 21371772
PMCID: PMC3129434
NLM abbreviation: Lung Cancer
ISSN: 0169-5002
eISSN: 1872-8332
Publisher: Elsevier Ireland Ltd
Language: English
Date published: 2011
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Pulmonary, Critical Care, and Occupational Medicine; Occupational and Environmental Health; Internal Medicine
Record Identifier: 9984051514702771

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