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Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region.
- Source :
- PLoS ONE; 5/25/2017, Vol. 12 Issue 5, p1-12, 12p
- Publication Year :
- 2017
-
Abstract
- Objective: The purpose of this study was to investigate the relationship between visual score of emphysema and homology-based emphysema quantification (HEQ) and evaluate whether visual score was accurately predicted by machine learning and HEQ. Materials and methods: A total of 115 anonymized computed tomography images from 39 patients were obtained from a public database. Emphysema quantification of these images was performed by measuring the percentage of low-attenuation lung area (LAA%). The following values related to HEQ were obtained: nb<subscript>0</subscript> and nb<subscript>1</subscript>. LAA% and HEQ were calculated at various threshold levels ranging from −1000 HU to −700 HU. Spearman’s correlation coefficients between emphysema quantification and visual score were calculated at the various threshold levels. Visual score was predicted by machine learning and emphysema quantification (LAA% or HEQ). Random Forest was used as a machine learning algorithm, and accuracy of prediction was evaluated by leave-one-patient-out cross validation. The difference in the accuracy was assessed using McNemar’s test. Results: The correlation coefficients between emphysema quantification and visual score were as follows: LAA% (−950 HU), 0.567; LAA% (−910 HU), 0.654; LAA% (−875 HU), 0.704; nb<subscript>0</subscript> (−950 HU), 0.552; nb<subscript>0</subscript> (−910 HU), 0.629; nb<subscript>0</subscript> (−875 HU), 0.473; nb<subscript>1</subscript> (−950 HU), 0.149; nb<subscript>1</subscript> (−910 HU), 0.519; and nb<subscript>1</subscript> (−875 HU), 0.716. The accuracy of prediction was as follows: LAA%, 55.7% and HEQ, 66.1%. The difference in accuracy was statistically significant (p = 0.0290). Conclusion: LAA% and HEQ at −875 HU showed a stronger correlation with visual score than those at −910 or −950 HU. HEQ was more useful than LAA% for predicting visual score. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 12
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- 123227960
- Full Text :
- https://doi.org/10.1371/journal.pone.0178217