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Development of a novel combined nomogram model integrating Rad-score, age and ECOG to predict the survival of patients with hepatocellular carcinoma treated by transcatheter arterial chemoembolization.
| Content Provider | Europe PMC |
|---|---|
| Author | Liu, Aiai Liu, Bo Duan, Xiaodong Yang, Bo Wang, Yiren Dong, Ping Zhou, Ping |
| Copyright Year | 2022 |
| Abstract | BackgroundLiver cancer is affecting more and more people's health. Transcatheter arterial chemoembolization (TACE) has become a routine treatment option, but the prognosis of patients is not optimistic. Effectively prediction of prognosis can provide clinicians with an objective basis for patient prognosis and timely adjustment of treatment strategies, thus improving the quality of patient survival. However, the current prediction methods have some limitations. Therefore, this study aims to develop a radiomics nomogram for predicting survival after TACE in patients with advanced hepatocellular carcinoma (HCC).MethodsSeventy advanced HCC patients treated with TACE were enrolled from January 2013 to July 2019. Clinical information included age, sex, and Eastern Cooperative Oncology Group (ECOG) score. Overall survival (OS) was confirmed by postoperative follow-up. Radiomics features were extracted using 3D Slicer (version 4.11.20210226) software, then obtain radiomics signature and calculate radiomics score (Rad-score) for each patient. Univariate and multivariate Cox regression were used to analyze the baseline clinical data of patients and establish clinical models. The obtained radiomics signature was incorporated into the clinical model to establish the radiomics nomogram. The predictive performance and calibration ability of the model were assessed by the area under the receiver operating characteristic (ROC) curve (AUC), C-index, and calibration curve.ResultsThree significant features were selected from 851 radiomics features by the least absolute shrinkage and selection operator (LASSO) Cox regression model to construct the radiomics signature, and were significantly correlated with overall survival (P<0.001). Rad-score, age, and ECOG score were combined to construct a radiomics nomogram. The AUC, sensitivity, and specificity of the radiomics nomogram were 0.801 (95% CI: 0.693–0.909), 0.822 (95% CI: 0.674–0.915), and 0.720 (95% CI: 0.674–0.915), respectively. The C-index of the radiomics nomogram was 0.700 (95% CI: 0.547–0.853). Calibration curves showed better agreement between the predicted and actual probabilities in the radiomics nomogram among the 3 features.ConclusionsThe Rad-score was a strong risk predictor of survival after TACE for HCC patients. The radiomics nomogram might be improved the predictive efficacy of survival after TACE and it may also provide assistance to physicians in making treatment decisions. |
| Related Links | https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC9459188&blobtype=pdf |
| ISSN | 20786891 |
| Journal | Journal of Gastrointestinal Oncology [J Gastrointest Oncol] |
| Volume Number | 13 |
| DOI | 10.21037/jgo-22-548 |
| PubMed Central reference number | PMC9459188 |
| Issue Number | 4 |
| PubMed reference number | 36092317 |
| e-ISSN | 2219679X |
| Language | English |
| Publisher | AME Publishing Company |
| Publisher Date | 2022-08-01 |
| Access Restriction | Open |
| Rights License | Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0. 2022 Journal of Gastrointestinal Oncology. All rights reserved. |
| Subject Keyword | Hepatocellular carcinoma (HCC) transcatheter arterial chemoembolization (TACE) radiomics nomogram survival prediction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Gastroenterology Oncology |
