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ORIGINAL RESEARCH

Enhancement Pattern Mapping for Early Detection of Hepatocellular Carcinoma in Patients with Cirrhosis

ORCID Icon, , , , ORCID Icon, , , , ORCID Icon, , ORCID Icon & show all
Pages 595-606 | Received 15 Nov 2023, Accepted 07 Mar 2024, Published online: 19 Mar 2024

Figures & data

Figure 1 Patient selection process.

Figure 1 Patient selection process.

Table 1 Baseline Characteristics of Cases and Controls

Figure 2 Representative ROI used for CNR analysis of the image intensity on EPM (left) and on arterial phase MRI (right) with lesion indicated.

Figure 2 Representative ROI used for CNR analysis of the image intensity on EPM (left) and on arterial phase MRI (right) with lesion indicated.

Figure 3 Box plots of EPM RMSD between observed lesions for pre-diagnostic and diagnostic scans in cases. (Left) On pre-diagnostic scans in cases, the median EPM RMSD observed was 0.44 for pre-malignant lesions and 0.22 for parenchyma. (Right) On diagnostic scans, the median EPM RMSD observed was 0.50 for HCC lesions and 0.22 for parenchyma. (Left and right).

Figure 3 Box plots of EPM RMSD between observed lesions for pre-diagnostic and diagnostic scans in cases. (Left) On pre-diagnostic scans in cases, the median EPM RMSD observed was 0.44 for pre-malignant lesions and 0.22 for parenchyma. (Right) On diagnostic scans, the median EPM RMSD observed was 0.50 for HCC lesions and 0.22 for parenchyma. (Left and right).

Figure 4 ROC analysis of optimal threshold for discriminating case and control for pre-diagnostic and diagnostic time points. (a) In-sample ROC analysis for EPM RMSD in differentiating cases and controls on pre-diagnostic and single timepoint scans is shown. Similarly, (b) in-sample ROC analysis for EPM RMSD in differentiating cases and controls on diagnostic and single timepoint scans is shown. (c) Five-fold cross validation ROC analysis for EPM RMSD in differentiating cases and controls on pre-diagnostic and single timepoint scans is shown. Similarly, (d) Five-fold cross validation ROC analysis for EPM RMSD in differentiating cases and controls on diagnostic and single timepoint scans is shown.

Figure 4 ROC analysis of optimal threshold for discriminating case and control for pre-diagnostic and diagnostic time points. (a) In-sample ROC analysis for EPM RMSD in differentiating cases and controls on pre-diagnostic and single timepoint scans is shown. Similarly, (b) in-sample ROC analysis for EPM RMSD in differentiating cases and controls on diagnostic and single timepoint scans is shown. (c) Five-fold cross validation ROC analysis for EPM RMSD in differentiating cases and controls on pre-diagnostic and single timepoint scans is shown. Similarly, (d) Five-fold cross validation ROC analysis for EPM RMSD in differentiating cases and controls on diagnostic and single timepoint scans is shown.