Comparative viewing modalities for CT cystography |
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Authors: | L K Conrad E J Kirsh G Steinberg G S Gerber W Rosello C Pelizzari G S Stacy A H Dachman |
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Institution: | (1) Department of Radiology, The University of Chicago Hospitals, 5841 S. Maryland Avenue, MC 6038, Chicago, IL 60637, USA, US;(2) Department of Urology, The University of Chicago Hospitals, 5841 S. Maryland Avenue, MC 6038, Chicago, IL 60637, USA, US;(3) Kurt Rossman Laboratories, Department of Radiology, The University of Chicago, 5841 South Maryland Avenue, MC 2026, Chicago, IL 60637, USA, US |
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Abstract: | Background: To define the speed and accuracy of two different reconstructive techniques using computed tomography (CT) cystography for
the detection and measurement of urinary bladder masses and determine the overall ease of use.
Methods: Ten patients scheduled for cystoscopy for the evaluation of hematuria or bladder masses were studied by means of thin-section
CT of the air-distended bladder. Two techniques were employed by two radiologists to blindly interpret the data: conventional
two-dimensional data with interactive three-dimensional problem solving (2D3DPS) and surface-shaded display (SSD) three-dimensional
images. The results were compared with the data from cystoscopy.
Results: Twenty-two (100%) of 22 masses detected on cystoscopy were visualized using the reconstructive techniques. Both modalities
were shown to have high accuracy, but only the 2D3DPS had a sensitivity and specificity of 100% for both observers at the
patient-level diagnosis. The sensitivities for detecting individual masses for the two observers were 100% and 64% for 2D3DPS
and 64% and 70% for SSD.
Conclusion: Both methods used to display the CT data had a high sensitivity and specificity for masses, but only the 2D3DPS had a sensitivity
and specificity of 100% at the patient-level diagnosis, thus making it a feasible imaging modality for cystography. It was
also preferred overall for ease of use, high accuracy, and relative low cost.
Received: 22 March 2000/Accepted: 3 May 2000 |
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Keywords: | : Bladder CT— Bladder neoplasms— Computed tomography clinical effectiveness— Computed tomography image processing— Computed tomography volume rendering— Images interpretation |
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