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Quantitative analysis of the dual-energy CT virtual spectral curve for focal liver lesions characterization

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机构: [1]Department of Radiology, The Fourth Clinical Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, China
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关键词: Dual-energy computed tomography Quantitative analysis Focal liver lesions Spectral curve

摘要:
Objective: To assess the usefulness of the spectral curve slope of dual-energy CT (DECT) for differentiating between hepatocellular carcinoma (HCC), hepatic metastasis, hemangioma (HH) and cysts. Methods: In total, 121 patients were imaged in the portal venous phase using dual-energy mode. Of these patients, 23 patients had HH, 28 patients had HCC, 40 patients had metastases and 30 patients had simple cysts. The spectral curves of the hepatic lesions were derived from the 40-190 keV levels of virtual monochromatic spectral imaging. The spectral curve slopes were calculated from 40 to 110 keV. The slopes were compared using the Kruskal-Wallis test. Receiver operating characteristic curves (ROC) were used to determine the optimal cut-off value of the slope of the spectral curve to differentiate between the lesions. Results: The spectral curves of the four lesion types had different baseline levels. The HH baseline level was the highest followed by HCC, metastases and cysts. The slopes of the spectral curves of HH, HCC, metastases and cysts were 3.81 +/- 1.19, 1.49 +/- 0.57, 1.06 +/- 0.76 and 0.13 +/- 0.17, respectively. These values were significantly different (P<0.008). Based on ROC analysis, the respective diagnostic sensitivity and specificity were 87% and 100% for hemangioma (cut-off value >= 2.988), 82.1% and 65.9% for HCC (cut-off value 1.167-2.998), 65.9% and 59% for metastasis (cut-off value 0.133-1.167) and 44.4% and 100% for cysts (cut-off value <= 0.133). Conclusion: Quantitative analysis of the DECT spectral curve in the portal venous phase can be used to determine whether tumors are benign or malignant. (C) 2014 Elsevier Ireland Ltd. All rights reserved.

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出版当年[2014]版:
大类 | 3 区 医学
小类 | 3 区 核医学
最新[2025]版:
大类 | 2 区 医学
小类 | 2 区 核医学
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出版当年[2014]版:
Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
最新[2024]版:
Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

影响因子: 最新[2024版] 最新五年平均 出版当年[2014版] 出版当年五年平均 出版前一年[2013版] 出版后一年[2015版]

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第一作者机构: [1]Department of Radiology, The Fourth Clinical Hospital of Hebei Medical University, Shijiazhuang, Hebei 050011, China
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