title: Quantitative detection of cirrhosis: towards the development of computer-assisted detection method.
abstract: There are distinct morphologic features of cirrhosis on CT examinations; however, such impressions may be subtle or subjective. The purpose of this study is to build a computer-aided diagnosis (CAD) method to help radiologists with this diagnosis. One hundred sixty-seven abdominal CT examinations were randomly divided into training (n = 88) and validation (n = 79) sets. Livers were analyzed for morphological markers of cirrhosis and logistic regression models were created. Using the area under curve (AUC) for model performance, the best model had 0.89 for the training set and 0.85 for the validation set. For radiology reports, sensitivity of reporting cirrhosis was 0.45 and specificity 0.99. Using the predictive model adjunctively, radiologists' sensitivity increased to 0.63 and specificity slightly decreased to 0.97. This study demonstrates that quantifying morphological features in livers may be utilized for diagnosing cirrhosis and for developing a CAD method for it.
authors.affiliation: Department of Radiology, University of Southern California, 1500 San Pablo Street, Second Floor Imaging, Los Angeles, CA, 90033, USA, hth_783@usc.edu.
authors.forename: Hannu T
authors.initials: HT
authors.lastname: Huhdanpaa
authors.forename: Peng
authors.initials: P
authors.lastname: Zhang
authors.forename: Venkataramu N
authors.initials: VN
authors.lastname: Krishnamurthy
authors.forename: Chris
authors.initials: C
authors.lastname: Douville
authors.forename: Binu
authors.initials: B
authors.lastname: Enchakolody
authors.forename: Chris
authors.initials: C
authors.lastname: Chou
authors.forename: Sampathkumar
authors.initials: S
authors.lastname: Ethiraj
authors.forename: Stewart
authors.initials: S
authors.lastname: Wang
authors.forename: Grace L
authors.initials: GL
authors.lastname: Su
mesh_terms: D019540:Area Under Curve; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008099:Liver / Q000000981:diagnostic imaging; D008103:Liver Cirrhosis / Q000000981:diagnostic imaging*; D015588:Observer Variation; D012372:ROC Curve; D011871:Radiology / Q000193:education / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000379:methods*