Figure 3 | Scientific Reports

Figure 3

From: Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer

Figure 3

Categorization of Lipiodol deposition patterns. Well-delineated and infiltrative lesions were manually characterized. Then, each tumor’s Lipiodol deposition was automatically characterized based on its homogeneity, rim presence and sparsity. Deposition was considered homogeneous if ≥ 85% of the tumor volume contained medium or high density Lipiodol. Lipiodol deposition was described as sparse if ≤ 20% of the tumor volume had medium and ≤ 10% of the tumor volume had high density Lipiodol. Tumors not meeting the criteria for sparsity were defined as non-sparse tumors. Rim deposition required that the outer portion of the tumor had denser Lipiodol deposition than its core. (Location of the tumors: well-delineated lesions: homogeneous: segment Iva (diameter 2.0 cm), rim sparse: segment V (diameter 5.9 cm), rim non-sparse: segment IVb (diameter 4.5 cm), non-rim sparse: segment VI (diameter 4.3 cm), non-rim non-sparse: segment VIII (diameter 6.2 cm), Infiltrative lesions: sparse: segment V (diameter 6.8 cm) non-sparse: segment IVb (diameter 4.1 cm).

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