Computer-aided grading of lymphangioleiomyomatosis (LAM) using HRCT
Lymphangioleiomyomatosis (LAM) is a multisystem disorder associated with proliferation of smooth muscle-like cells, which leads to destruction of lung parenchyma. Subjective grading of LAM on HRCT is imprecise and can be arduous especially in cases with severe involvement. We propose a computer-aide...
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Veröffentlicht in: | 2008 19th International Conference on Pattern Recognition 2008-01, Vol.2008 (8-11 Dec. 2008), p.1-4 |
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container_title | 2008 19th International Conference on Pattern Recognition |
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creator | Yao, Jianhua Avila, Nilo Dwyer, Andrew Taveira-DaSilva, Angelo M. Hathaway, Olanda M. Moss, Joel |
description | Lymphangioleiomyomatosis (LAM) is a multisystem disorder associated with proliferation of smooth muscle-like cells, which leads to destruction of lung parenchyma. Subjective grading of LAM on HRCT is imprecise and can be arduous especially in cases with severe involvement. We propose a computer-aided evaluation system that grades LAM involvement based on analysis of lung texture patterns. A committee of support vector machines is employed for classification. The system was tested on 36 patients. The computer grade demonstrates good correlation with subjective radiologist grade (R=0.91, p¿0.0001) and pulmonary functional tests (R=0.85, p¿0.0001). The grade also provides precise progression assessment of disease over time. |
doi_str_mv | 10.1109/ICPR.2008.4760991 |
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Subjective grading of LAM on HRCT is imprecise and can be arduous especially in cases with severe involvement. We propose a computer-aided evaluation system that grades LAM involvement based on analysis of lung texture patterns. A committee of support vector machines is employed for classification. The system was tested on 36 patients. The computer grade demonstrates good correlation with subjective radiologist grade (R=0.91, p¿0.0001) and pulmonary functional tests (R=0.85, p¿0.0001). 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Subjective grading of LAM on HRCT is imprecise and can be arduous especially in cases with severe involvement. We propose a computer-aided evaluation system that grades LAM involvement based on analysis of lung texture patterns. A committee of support vector machines is employed for classification. The system was tested on 36 patients. The computer grade demonstrates good correlation with subjective radiologist grade (R=0.91, p¿0.0001) and pulmonary functional tests (R=0.85, p¿0.0001). The grade also provides precise progression assessment of disease over time.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>21625320</pmid><doi>10.1109/ICPR.2008.4760991</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical imaging Computed tomography Diseases Image segmentation Image texture analysis Lungs Pattern analysis Performance analysis Support vector machine classification Support vector machines |
title | Computer-aided grading of lymphangioleiomyomatosis (LAM) using HRCT |
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