Istituto di Fisiologia Clinica     
Miniati M., Coppini G., Monti S., Bottai M., Paterni M., Ferdeghini E. M. Computer-aided Recognition of Emphysema on Digital Chest Radiography. In: European Journal of Radiology, vol. XX pp. XX - XX. Elsevier, 2010.
Background Computed tomography (CT) is the benchmark for diagnosis emphysema, but is costly and imparts a substantial radiation burden to the patient. Objective To develop a computer-aided procedure that allows recognition of emphysema on digital chest radiography by using simple descriptors of the lung shape. The procedure was tested against CT. Methods Patients (N=225), who had undergone postero-anterior and lateral digital chest radiographs and CT for diagnostic purposes, were studied and divided in a derivation (N=118) and in a validation sample (N=107). CT images were scored for emphysema using the picture-grading method. Simple descriptors that measure the bending characteristics of the lung profile on chest radiography were automatically extracted from the derivation sample, and applied to train a neural network to assign a probability of emphysema between 0 and 1. The diagnostic performance of the procedure was described by the area under the receiver operating characteristic curve (AUC). Results AUC was 0.985 (95% confidence interval, 0.965 to 0.998) in the derivation sample, and 0.975 (95% confidence interval, 0.936 to 0.998) in the validation sample. At a probability cutpoint of 0.55, the procedure yielded 92% sensitivity and 96% specificity in the derivation sample; 90% sensitivity and 97% specificity in the validation sample. False negatives on chest radiography had trace or mild emphysema on CT. Conclusions The computer-aided procedure is simple and inexpensive, and permits quick recognition of emphysema on digital chest radiographs
URL: http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6T6F-511GB72-1&_user=3967543&_coverDate=09%2F15%2F2010&_rdoc=1&_fmt=high&_orig=search&_origin=search&_sort=d&_docanchor=&view=c&_acct=C000061181&_version=1&_urlVersion=0&_userid=3967543&md5=1de2998
DOI: 10.1016/j.ejrad.2010.08.021
Subject Computer-aided engineering

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