The reproducibility and predictivity of radiomic features extracted from dynamic contrast-enhanced computed tomography of hepatocellular carcinoma Journal Article
| Authors: | Ibrahim, A.; Guha, S.; Lu, L.; Geng, P.; Wu, Q.; Chou, Y.; Yang, H.; Wang, D.; Schwartz, L. H.; Xie, C. M.; Zhao, B. |
| Article Title: | The reproducibility and predictivity of radiomic features extracted from dynamic contrast-enhanced computed tomography of hepatocellular carcinoma |
| Abstract: | Purpose To assess the reproducibility of radiomic features (RFs) extracted from dynamic contrastenhanced computed tomography (DCE-CT) scans of patients diagnosed with hepatocellular carcinoma (HCC) with regards to inter-observer variability and acquisition timing after contrast injection. The predictive ability of reproducible RFs for differentiating between the degrees of HCC differentiation is also investigated. Methods We analyzed a set of DCE-CT scans of 39 patients diagnosed with HCC. Two radiologists independently segmented the scans, and RFs were extracted from each sequence of the DCE-CT scans. The same lesion was segmented across the DCE-CT sequences of each patient's scan. From each lesion, 127 commonly used RFs were extracted. The reproducibility of RFs was assessed with regard to (i) inter-observer variability, by evaluating the reproducibility of RFs between the two radiologists; and (ii) timing of acquisition following contrast injection (inter- and intra-imaging phase). The reproducibility of RFs was assessed using the concordance correlation coefficient (CCC), with a cut-off value of 0.90. Reproducible RFs were used for building XGBoost classification models for the differentiation of HCC differentiation. Results Inter-observer analyses across the different contrast-enhancement phases showed that the number of reproducible RFs was 29 (22.8%), 52 (40.9%), and 36 (28.3%) for the non-contrast enhanced, late arterial, and portal venous phases, respectively. Intra- and intersequence analyses revealed that the number of reproducible RFs ranged between 1 (0.8%) and 47 (37%), inversely related with time interval between the sequences. XGBoost algorithms built using reproducible RFs in each phase were found to be high predictive ability of the degree of HCC tumor differentiation. Conclusions The reproducibility of many RFs was significantly impacted by inter-observer variability, and a larger number of RFs were impacted by the difference in the time of acquisition after contrast injection. Our findings highlight the need for quality assessment to ensure that scans are analyzed in the same physiologic imaging phase in quantitative imaging studies, or that phase-wide reproducible RFs are selected. Overall, the study emphasizes the importance of reproducibility and quality control when using RFs as biomarkers for clinical applications. © 2024 Ibrahim et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Keywords: | immunohistochemistry; adult; aged; middle aged; major clinical study; hepatitis b; liver cell carcinoma; carcinoma, hepatocellular; liver neoplasms; reproducibility; reproducibility of results; computer assisted tomography; observer variation; tumor volume; tumor differentiation; tomography, x-ray computed; pathology; diagnostic imaging; contrast enhancement; liver tumor; contrast medium; contrast media; predictive value; image segmentation; procedures; humans; human; male; female; article; x-ray computed tomography; radiomics; dynamic contrast enhanced computed tomography |
| Journal Title: | PLoS ONE |
| Volume: | 19 |
| Issue: | 9 |
| ISSN: | 1932-6203 |
| Publisher: | Public Library of Science |
| Date Published: | 2024-09-13 |
| Start Page: | e0310486 |
| Language: | English |
| DOI: | 10.1371/journal.pone.0310486 |
| PUBMED: | 39269960 |
| PROVIDER: | scopus |
| PMCID: | PMC11398651 |
| DOI/URL: | |
| Notes: | Article -- Source: Scopus |
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