Publication: Utility of intermediate-delay washout CT images for differentiation of malignant and benign adrenal lesions: a multivariate analysis
Program
KU-Authors
KU Authors
Co-Authors
Ng, Chaan S.
Wei, Wei
Li, Xiao
Ghosh, Payel
Perrier, Nancy A.
Grubbs, Elizabeth
Prieto, Victor G.
Lee, Jeffrey E.
Hobbs, Brian P.
Advisor
Publication Date
2018
Language
English
Type
Journal Article
Journal Title
Journal ISSN
Volume Title
Abstract
Objective: The objective of this study was to identify features that impact the diagnostic performance of intermediate-delay washout CT for distinguishing malignant from benign adrenal lesions. Materials and Methods: This retrospective study evaluated 127 pathologically proven adrenal lesions (82 malignant, 45 benign) in 126 patients who had undergone portal venous phase and intermediate-delay washout CT (1-3 minutes after portal venous phase) with or without unenhanced images. Unenhanced images were available for 103 lesions. Quantitatively, lesion CT attenuation on unenhanced (UA) and delayed (DL) images, absolute and relative percentage of enhancement washout (APEW and RPEW, respectively), descriptive CT features (lesion size, margin characteristics, heterogeneity or homogeneity, fat, calcification), patient demographics, and medical history were evaluated for association with lesion status using multiple logistic regression with stepwise model selection. Area under the ROC curve (A(z)) was calculated from both univariate and multivariate analyses. The predictive diagnostic performance of multivariate evaluations was ascertained through cross-validation. Results: A(z) for DL, APEW, RPEW, and UA was 0.751, 0.795, 0.829, and 0.839, respectively. Multivariate analyses yielded the following significant CT quantitative features and associated A(z) when combined: RPEW and DL (A(z) = 0.861) when unenhanced images were not available and APEW and UA (A(z) = 0.889) when unenhanced images were available. Patient demographics and presence of a prior malignancy were additional significant factors, increasing A(z) to 0.903 and 0.927, respectively. The combined predictive classifier, without and with UA available, yielded 85.7% and 87.3% accuracies with cross-validation, respectively. Conclusion: When appropriately combined with other CT features, washout derived from intermediate-delay CT with or without additional clinical data has potential utility in differentiating malignant from benign adrenal lesions.
Description
Source:
American Journal of Roentgenology
Publisher:
Amer Roentgen Ray Soc
Keywords:
Subject
Radiology, Nuclear medicine, Medical imaging