The reproducibility and predictivity of radiomic features extracted from dynamic contrast-enhanced computed tomography of hepatocellular carcinoma.

Autor: Ibrahim A; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America., Guha S; Department of Radiology, Columbia University Irving Medical Center, New York, New York, United States of America., Lu L; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America., Geng P; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America., Wu Q; First Affiliated Hospital of Nanjing Medical University, Jiangsu, China., Chou Y; Department of Medical Imaging, Fu Jen Catholic University Hospital, New Taipei City, Taiwan., Yang H; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America., Wang D; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China., Schwartz LH; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America., Xie CM; Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China., Zhao B; Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America.
Jazyk: angličtina
Zdroj: PloS one [PLoS One] 2024 Sep 13; Vol. 19 (9), pp. e0310486. Date of Electronic Publication: 2024 Sep 13 (Print Publication: 2024).
DOI: 10.1371/journal.pone.0310486
Abstrakt: Purpose: To assess the reproducibility of radiomic features (RFs) extracted from dynamic contrast-enhanced 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 inter-sequence 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.
Competing Interests: Authors acknowledge financial support from the National Institutes of Health (U01 CA225431). The content is solely the responsibility of the authors and does not necessarily represent the views of the funding source. The authors have no relevant financial or non-financial interests to disclose. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. This does not alter our adherence to PLOS ONE policies on sharing data and materials.
(Copyright: © 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.)
Databáze: MEDLINE
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