Proceedings of the 2015 International Conference on Industrial Technology and Management Science

Diffusion-weighted Magnetic Resonance Imaging and Receiver Operating Characteristic (ROC) Analysis for Lung Cancer Diagnosis

Authors
Yahui Peng, Yongxia Lei, Xinchun Li, Houjin Chen
Corresponding Author
Yahui Peng
Available Online November 2015.
DOI
https://doi.org/10.2991/itms-15.2015.163How to use a DOI?
Keywords
Lung cancer; magnetic resonance imaging; diffusion-weighted imaging; receiver operating characteristic analysis; diagnostic accuracy assessment.
Abstract
Diffusion-weighted magnetic resonance (DWI-MR) technique is a promising imaging method for lung cancer diagnosis. The purpose of this study is to investigate whether DWI-MR can differentiate lung cancer from infectious nodule accurately. Approved by institutional review board, this study included DWI-MR images of 38 patients who had solitary lung nodules in chest CT examination. Three different non-zero b-values, 600, 800, and 1000 s/mm2, were used for DWI-MR imaging and apparent diffusion coefficient (ADC) was calculated for lung cancer detection. Histopathological analysis of biopsy or anti-inflammation treatment results were used as the gold standard. Area under the receiver operating characteristic curve (AUC) was used as the figure of merit for diagnostic accuracy assessment. Results indicated that ADC for lung cancer was statistically significantly smaller than that for infectious nodules. The AUC values of ADC were 0.92±0.07, 0.82±0.09, and 0.79±0.10, for b-values of 600, 800, and 1000 s/mm2, respectively. We conclude that the DWI-MR imaging can differentiate lung cancer from infectious nodules accurately.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Industrial Technology and Management Science
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-123-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/itms-15.2015.163How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yahui Peng
AU  - Yongxia Lei
AU  - Xinchun Li
AU  - Houjin Chen
PY  - 2015/11
DA  - 2015/11
TI  - Diffusion-weighted Magnetic Resonance Imaging and Receiver Operating Characteristic (ROC) Analysis for Lung Cancer Diagnosis
BT  - 2015 International Conference on Industrial Technology and Management Science
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/itms-15.2015.163
DO  - https://doi.org/10.2991/itms-15.2015.163
ID  - Peng2015/11
ER  -