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Quantitatively defining washout in hepatocellular carcinoma
Yueyi I Liu1, Lewis K Shin, R Brooke Jeffrey
1Department of Radiology, Stanford University Medical Center, 300 Pasteur Dr, H1307, Stanford, CA 94305, USA.
A quantitative definition of washout using percentage attenuation ratio on delayed phase CT imaging can accurately detect hepatocellular carcinoma (HCC). This method offers high sensitivity and specificity, improving diagnostic accuracy for liver lesions.
Area of Science:
- Radiology
- Hepatology
- Oncology
Background:
- Washout on delayed phase imaging is a key indicator for hepatocellular carcinoma (HCC).
- Quantitative definitions can reduce variability in diagnosing HCC.
- Accurate HCC diagnosis is crucial for patient management and treatment planning.
Purpose of the Study:
- To quantitatively define washout in pathologically proven hepatocellular carcinoma (HCC).
- To establish a quantitative metric for HCC detection to minimize interobserver variability.
- To facilitate more accurate diagnosis of HCC using CT imaging.
Main Methods:
- Analysis of 47 liver lesions in 24 patients undergoing triphasic MDCT.
- Identification of hyperenhancing lesions in the arterial phase.
- Calculation of percentage attenuation ratio (lesion to adjacent liver attenuation) on delayed phase images.
Main Results:
- A statistically significant difference in percentage attenuation ratio was found between HCC and non-HCC lesions (median 121 vs. 101).
- A percentage attenuation ratio threshold of ≥ 107 achieved 100% sensitivity and 75.8% specificity for HCC detection.
- The quantitative metric correlated well with radiologists' assessments of lesion enhancement profiles.
Conclusions:
- Simple CT attenuation measurements, specifically the percentage attenuation ratio, provide excellent sensitivity, specificity, PPV, and NPV for HCC detection.
- This quantitative approach demonstrates very good correlation with radiologists' assessments of washout.
- The percentage attenuation ratio offers a reliable method for quantitative HCC diagnosis on delayed phase CT imaging.
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