OBJECTIVE: To evaluate the diagnostic accuracy of three-dimensional (3D) ultrasound in comparison with conventional two-dimensional (2D) ultrasound in the characterization of breast lesions. METHODS: The digitally stored 2D ultrasound images and the corresponding 3D scans of 100 breast lesions (57 malignant, 43 benign) that had been morphologically classified as solid tumors, were independently analyzed by six investigators. Ten 2D and 13 3D ultrasound characteristics were determined. Lesion characterization was classified on a four-point scale and a logistic regression model was used to analyze the data. A receiver-operating characteristics curve (ROC) analysis was performed to determine the diagnostic performance of 2D and 3D ultrasound, respectively. RESULTS: Ultrasound criteria showed major differences between 2D and 3D ultrasound. Logistic regression revealed the retraction phenomenon in the coronal plane of the 3D ultrasound scan to be a significant and independent factor for lesion characterization. The characteristics determined on the conventional planes of 3D ultrasound differed from those determined on the 2D ultrasound images. The diagnostic accuracy of 2D and 3D ultrasound in the ROC analysis was almost identical (area under the curve 0.846 and 0.851, respectively). CONCLUSIONS: Ultrasound features on 3D ultrasound differ significantly from those on 2D ultrasound. However, the diagnostic accuracy of both methods is almost identical. 3D ultrasound as an adjunct to conventional 2D ultrasound should be evaluated in larger trials to determine its clinical value in breast imaging. Copyright 2005 ISUOG
OBJECTIVE: To evaluate the diagnostic accuracy of three-dimensional (3D) ultrasound in comparison with conventional two-dimensional (2D) ultrasound in the characterization of breast lesions. METHODS: The digitally stored 2D ultrasound images and the corresponding 3D scans of 100 breast lesions (57 malignant, 43 benign) that had been morphologically classified as solid tumors, were independently analyzed by six investigators. Ten 2D and 13 3D ultrasound characteristics were determined. Lesion characterization was classified on a four-point scale and a logistic regression model was used to analyze the data. A receiver-operating characteristics curve (ROC) analysis was performed to determine the diagnostic performance of 2D and 3D ultrasound, respectively. RESULTS: Ultrasound criteria showed major differences between 2D and 3D ultrasound. Logistic regression revealed the retraction phenomenon in the coronal plane of the 3D ultrasound scan to be a significant and independent factor for lesion characterization. The characteristics determined on the conventional planes of 3D ultrasound differed from those determined on the 2D ultrasound images. The diagnostic accuracy of 2D and 3D ultrasound in the ROC analysis was almost identical (area under the curve 0.846 and 0.851, respectively). CONCLUSIONS: Ultrasound features on 3D ultrasound differ significantly from those on 2D ultrasound. However, the diagnostic accuracy of both methods is almost identical. 3D ultrasound as an adjunct to conventional 2D ultrasound should be evaluated in larger trials to determine its clinical value in breast imaging. Copyright 2005 ISUOG