Yao Jianhua, Avila Nilo, Dwyer Andrew, Taveira-Dasilva Angelo M, Hathaway Olanda M, Moss Joel
Diagnostic Radiology Department, Clinical Center, National Institute of Health, Bethesda, MD, USA.
Proc IAPR Int Conf Pattern Recogn. 2008 Jan 23;2008(8-11 Dec. 2008):1-4. doi: 10.1109/ICPR.2008.4760991.
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.
淋巴管平滑肌瘤病（LAM）是一种与平滑肌样细胞增殖相关的多系统疾病，可导致肺实质破坏。HRCT上LAM的主观分级不准确，尤其是在严重受累的病例中可能很困难。我们提出了一种基于肺纹理模式分析对LAM受累情况进行分级的计算机辅助评估系统。采用支持向量机委员会进行分类。该系统在36例患者身上进行了测试。计算机分级与放射科医生的主观分级（R=0.91，p<0.0001）和肺功能测试（R=0.85，p<0.0001）具有良好的相关性。该分级还能提供疾病随时间的精确进展评估。
