Automatic bolus tracking in monophasic spiral CT of the liver: liver-to-lesion conspicuity
| Autor: | F. Mehnert, Claus D. Claussen, J. Trübenbach, Andreas F. Kopp, Philippe L. Pereira |
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| Rok vydání: | 2001 |
| Předmět: |
Adult
Male medicine.medical_specialty Iohexol Contrast Media Lesion Parenchyma Image Processing Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Prospective Studies Bolus tracking Spiral Aged Neuroradiology medicine.diagnostic_test business.industry Liver Neoplasms Ultrasound Interventional radiology General Medicine Middle Aged Female Radiology medicine.symptom Tomography X-Ray Computed Nuclear medicine business medicine.drug |
| Zdroj: | European Radiology. 11:580-584 |
| ISSN: | 1432-1084 0938-7994 |
| DOI: | 10.1007/s003300000637 |
| Popis: | The aim of this study was to evaluate the value of automatic bolus tracking for monophasic spiral CT of the liver and to assess the liver-to-lesion conspicuity in comparison with time-delay examinations. In 40 patients scheduled for therapy control of known hypovascular hepatic metastases a monophasic spiral CT was completed either with time delay of 65 s (n = 20) or with automatic bolus tracking in the liver parenchyma (n = 20). Examinations were performed with 120 ml of contrast material and a flow rate of 3.0 ml/s. For automatic bolus tracking a parenchymal enhancement threshold of 40 HU was used. Contrast enhancement in the liver parenchyma and in liver lesions was obtained by means of regions of interest (ROI). Mean parenchymal enhancement was not significantly different between time delay and bolus-tracking group. In 4 of 20 patients in the bolus-tracking group the threshold level of 40 HU was not reached. With automatic bolus tracking a significantly higher liver-to-lesion density difference was observed (P < 0.0001). Automatic bolus tracking allows a better liver-to-lesion conspicuity in monophasic spiral CT. Contrary to recent studies, a significantly higher parenchymal enhancement was not found using automatic bolus tracking. |
| Databáze: | OpenAIRE |
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