Chaan S Ng1, Emre Altinmakas2, Wei Wei3, Payel Ghosh1, Xiao Li3, Elizabeth G Grubbs4, Nancy D Perrier4, Jeffrey E Lee4, Victor G Prieto5, Brian P Hobbs3. 1. 1 Department of Radiology, University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 1473, Houston, TX 77030. 2. 2 Department of Radiology, Koç University Hospital, Istanbul, Turkey. 3. 3 Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX. 4. 4 Department of Surgical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX. 5. 5 Department of Anatomical Pathology, University of Texas MD Anderson Cancer Center, Houston, TX.
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 (Az) was calculated from both univariate and multivariate analyses. The predictive diagnostic performance of multivariate evaluations was ascertained through cross-validation. RESULTS: Az 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 Az when combined: RPEW and DL (Az = 0.861) when unenhanced images were not available and APEW and UA (Az = 0.889) when unenhanced images were available. Patient demographics and presence of a prior malignancy were additional significant factors, increasing Az 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.
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 (Az) was calculated from both univariate and multivariate analyses. The predictive diagnostic performance of multivariate evaluations was ascertained through cross-validation. RESULTS: Az 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 Az when combined: RPEW and DL (Az = 0.861) when unenhanced images were not available and APEW and UA (Az = 0.889) when unenhanced images were available. Patient demographics and presence of a prior malignancy were additional significant factors, increasing Az 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.
Authors: Melvin M Grumbach; Beverly M K Biller; Glenn D Braunstein; Karen K Campbell; J Aidan Carney; Paul A Godley; Emily L Harris; Joseph K T Lee; Yolanda C Oertel; Mitchell C Posner; Janet A Schlechte; H Samuel Wieand Journal: Ann Intern Med Date: 2003-03-04 Impact factor: 25.391
Authors: Julie H Song; David J Grand; Michael D Beland; Kevin J Chang; Jason T Machan; William W Mayo-Smith Journal: AJR Am J Roentgenol Date: 2013-12 Impact factor: 3.959
Authors: Lilian Hammarstedt; Anne Thilander-Klang; Andreas Muth; Bo Wängberg; Anders Odén; Mikael Hellström Journal: Acta Radiol Date: 2013-04-30 Impact factor: 1.990
Authors: Christoph F Dietrich; Jean Michel Correas; Yi Dong; Christian Nolsoe; Susan Campbell Westerway; Christian Jenssen Journal: Ultrasonography Date: 2019-07-09