Pulsed Doppler US diagnosis of hepatocellular carcinoma and other liver focal lesions
Autor: | Saverio Fusilli, Eugenio Caturelli, Maurizio Pompili, Caterina Cellerino, Maria Maddalena Squillante, P. Tonti, Arcangela Patrizia Giuliani, Domenico Angelo Siena, R. Clemente |
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Rok vydání: | 1995 |
Předmět: |
medicine.medical_specialty
Acoustics and Ultrasonics Epithelioma business.industry General Chemical Engineering Ultrasound Bioengineering Malignancy medicine.disease symbols.namesake Hepatocellular carcinoma medicine symbols Carcinoma Radiology Nuclear Medicine and imaging Liver neoplasm Radiology Differential diagnosis business Doppler effect |
Zdroj: | European Journal of Ultrasound. 2:269-272 |
ISSN: | 0929-8266 |
Popis: | Objective: To assess the role of pulsed Doppler ultrasound in the differential diagnosis of focal liver lesion, based upon the presence of a Doppler signal and its waveform. Methods: The presence of a Doppler signal was accurately investigated in 267 focal liver lesions which had subsequently a definitive diagnosis. Most representative groups included hepatocellular carcinomas (188 cases), metastases (34 cases) and haemangiomas (42 cases). Results: Doppler signals were detected with a significantly higher rate in hepatocellular carcinomas than in metastases (P = 0.001) and haemangiomas (P < 0.0001). The detection rate in metastases was significantly higher than in haemangiomas (P = 0.001). Assuming the detection of a Doppler signal allows to classify a liver lesion as malignant, we obtained sensitivity of 84.9%, specificity of 90.5%, diagnostic accuracy of 85.8%, positive predictive value of 97.9% and negative predictive value of 52.8%. Considering only the presence of a pulsatile wave as a diagnostic sign of malignancy, these figures resulted 80.8%, 100%, 84.2%, 100% and 52.8%, respectively. Conclusions: The detection of Doppler signals from within a liver lesion has a clinical relevance. The finding of a pulsatile waveform makes it possible to differentiate a malignant lesion from haemangioma with high sensitivity and absolute specificity. |
Databáze: | OpenAIRE |
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