Split-Bolus Multidetector-Row Computed Tomography Technique for Characterization of Focal Liver Lesions in Oncologic Patients

AuthorMichele Scialpien
AuthorLuisa Pierottien
AuthorSabrina Gravanteen
AuthorAlberto Rebonatoen
AuthorIrene Pisciolien
AuthorAlfredo D’Andreaen
AuthorRaffaele Schiavoneen
AuthorBarbara Palumboen
Issued Date2016-04-01en
AbstractBackground: In oncologic patients, the liver is the most common target for metastases. An accurate detection and characterization of focal liver lesions in patients with known primary extrahepatic malignancy are essential to define management and prognosis. Objectives: To assess the diagnostic accuracy of the split-bolus multidetector-row computed tomography (MDCT) protocol in the characterization of focal liver lesions in oncologic patients. Patients and Methods: We retrospectively analyzed the follow-up split-bolus 64-detector row CT protocol in 36 oncologic patients to characterize focal liver lesions. The split-bolus MDCT protocol by intravenous injection of two boluses of contrast medium combines the hepatic arterial phase (HAP) and hepatic enhancement during the portal venous phase (PVP) in a single-pass. Results: The split-bolus MDCT protocol detected 208 lesions and characterized 186 (89.4%) of them: typical hemangiomas (n = 9), atypical hemangiomas (n = 3), cysts (n = 78), hypovascular (n = 93) and hypervascular (n = 3) metastases. Twenty two (10.6%) hypodense lesions were categorized as indeterminate (≤5 mm). The mean radiation dose was 24.5±6.5 millisieverts (mSv). Conclusion: The designed split-bolus MDCT technique can be proposed alternatively to triphasic MDCT and in a single-pass to PVP in the initial staging and in the follow-up respectively in oncologic patients.en
DOIhttps://doi.org/10.5812/iranjradiol.20143en
KeywordHelical Computed Tomographyen
KeywordLiveren
KeywordMultidetector-Row CTen
KeywordNeoplasmen
KeywordOncologyen
KeywordSplit-Bolus Techniqueen
KeywordTriphasic Techniqueen
PublisherBrieflandsen
TitleSplit-Bolus Multidetector-Row Computed Tomography Technique for Characterization of Focal Liver Lesions in Oncologic Patientsen
TypeBrief Reporten

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