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Published in: European Radiology 2/2015

01-02-2015 | Computed Tomography

Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?

Authors: Hamid Bayanati, Rebecca E. Thornhill, Carolina A. Souza, Vineeta Sethi-Virmani, Ashish Gupta, Donna Maziak, Kayvan Amjadi, Carole Dennie

Published in: European Radiology | Issue 2/2015

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Abstract

Objective

To assess the accuracy of CT texture and shape analysis in the differentiation of benign and malignant mediastinal nodes in lung cancer.

Methods

Forty-three patients with biopsy-proven primary lung malignancy with pathological mediastinal nodal staging and unenhanced CT of the thorax were studied retrospectively. Grey-level co-occurrence and run-length matrix textural features, as well as morphological features, were extracted from 72 nodes. Differences between benign and malignant features were assessed using Mann-Whitney U tests. Receiver operating characteristic (ROC) curves for each were constructed and the area under the curve (AUC) calculated with histopathology diagnosis as outcome. Combinations of features were also entered as predictors in logistic regression models and optimal threshold criteria were used to estimate sensitivity and specificity.

Results

Using optimum-threshold criteria, the combined textural and shape features identified malignant mediastinal nodes with 81 % sensitivity and 80 % specificity (AUC = 0.87, P < 0.0001). Using this combination, 84 % malignant and 71 % benign nodes were correctly classified.

Conclusions

Quantitative CT texture and shape analysis has the potential to accurately differentiate malignant and benign mediastinal nodes in lung cancer.

Key Points

Mediastinal nodal staging is crucial in the management of lung cancer
Mediastinal nodal metastasis affects prognosis and suitability for surgical treatment
Computed tomography (CT) is limited for mediastinal nodal staging
Texture analysis measures tissue heterogeneity not perceptible to human vision
CT texture analysis may accurately differentiate malignant and benign mediastinal nodes
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Metadata
Title
Quantitative CT texture and shape analysis: Can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?
Authors
Hamid Bayanati
Rebecca E. Thornhill
Carolina A. Souza
Vineeta Sethi-Virmani
Ashish Gupta
Donna Maziak
Kayvan Amjadi
Carole Dennie
Publication date
01-02-2015
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 2/2015
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-014-3420-6

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