A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma
Abstract Preoperative prediction of tumor recurrence after radiofrequency ablation (RFA) in patients with early hepatocellular carcinoma (HCC) is helpful for clinical decision-making before treatment. A total of 162 patients with HCC of 3 cm or less who were completely ablated by percutaneous RFA we...
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2021
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oai:doaj.org-article:755435f48dc141a399063455e8148dbe2021-12-02T14:26:25ZA clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma10.1038/s41598-021-87782-y2045-2322https://doaj.org/article/755435f48dc141a399063455e8148dbe2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-87782-yhttps://doaj.org/toc/2045-2322Abstract Preoperative prediction of tumor recurrence after radiofrequency ablation (RFA) in patients with early hepatocellular carcinoma (HCC) is helpful for clinical decision-making before treatment. A total of 162 patients with HCC of 3 cm or less who were completely ablated by percutaneous RFA were divided into a derivation cohort (n = 108) and a validation cohort (n = 54). Based on X-Tiles software, Kaplan–Meier curve analysis and COX multivariate analysis to obtain valuable predictive indicators, a clinical scoring system for predicting tumor recurrence was established. In the verall cohort, derivation cohort and validation cohort, we found circulating tumor cells (CTC) > 2/3.2 mL, alpha-fetoprotein (AFP) > 20 ng/mL, and des-γ-carboxyprothrombin (DCP) > 40 mAU/mL, maximum tumor diameter > 20 mm, and the number of multiple tumors (≥ 2) are independent risk factors affecting tumor recurrence. Each independent risk factor was assigned a score of 1 to construct a predictive clinical scoring system, and X-Tiles software was used to divide the clinical score into a low-risk group (0 score–1 score), a medium-risk group (2 scores–3 scores), and a high-risk group (4 scores–5 scores). The cumulative tumor recurrence rates of patients in the low-risk group, middle-risk group, and high-risk group in 1 year, 2 years, and 3 years were 19.4%/27.5%/30.9%, 37.0%/63.2%/79.9% and 68.2%/100%/100%, respectively (Low-risk group vs medium-risk group: P < 0.001; medium-risk group vs high-risk group: P < 0.001). This clinical scoring system can predict the prognosis of patients with HCC of 3 cm or smaller undergoing percutaneous RFA, which has certain application value for making preoperative clinical decisions.Yong Zhu HeKun HeRui Qin HuangLi Wen LiuShao Wei YeJun Lin QianPeng PengQi Jie LuoZe Liang WangZe Min HuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
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Medicine R Science Q Yong Zhu He Kun He Rui Qin Huang Li Wen Liu Shao Wei Ye Jun Lin Qian Peng Peng Qi Jie Luo Ze Liang Wang Ze Min Hu A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma |
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Abstract Preoperative prediction of tumor recurrence after radiofrequency ablation (RFA) in patients with early hepatocellular carcinoma (HCC) is helpful for clinical decision-making before treatment. A total of 162 patients with HCC of 3 cm or less who were completely ablated by percutaneous RFA were divided into a derivation cohort (n = 108) and a validation cohort (n = 54). Based on X-Tiles software, Kaplan–Meier curve analysis and COX multivariate analysis to obtain valuable predictive indicators, a clinical scoring system for predicting tumor recurrence was established. In the verall cohort, derivation cohort and validation cohort, we found circulating tumor cells (CTC) > 2/3.2 mL, alpha-fetoprotein (AFP) > 20 ng/mL, and des-γ-carboxyprothrombin (DCP) > 40 mAU/mL, maximum tumor diameter > 20 mm, and the number of multiple tumors (≥ 2) are independent risk factors affecting tumor recurrence. Each independent risk factor was assigned a score of 1 to construct a predictive clinical scoring system, and X-Tiles software was used to divide the clinical score into a low-risk group (0 score–1 score), a medium-risk group (2 scores–3 scores), and a high-risk group (4 scores–5 scores). The cumulative tumor recurrence rates of patients in the low-risk group, middle-risk group, and high-risk group in 1 year, 2 years, and 3 years were 19.4%/27.5%/30.9%, 37.0%/63.2%/79.9% and 68.2%/100%/100%, respectively (Low-risk group vs medium-risk group: P < 0.001; medium-risk group vs high-risk group: P < 0.001). This clinical scoring system can predict the prognosis of patients with HCC of 3 cm or smaller undergoing percutaneous RFA, which has certain application value for making preoperative clinical decisions. |
format |
article |
author |
Yong Zhu He Kun He Rui Qin Huang Li Wen Liu Shao Wei Ye Jun Lin Qian Peng Peng Qi Jie Luo Ze Liang Wang Ze Min Hu |
author_facet |
Yong Zhu He Kun He Rui Qin Huang Li Wen Liu Shao Wei Ye Jun Lin Qian Peng Peng Qi Jie Luo Ze Liang Wang Ze Min Hu |
author_sort |
Yong Zhu He |
title |
A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma |
title_short |
A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma |
title_full |
A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma |
title_fullStr |
A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma |
title_full_unstemmed |
A clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma |
title_sort |
clinical scoring system for predicting tumor recurrence after percutaneous radiofrequency ablation for 3 cm or less hepatocellular carcinoma |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/755435f48dc141a399063455e8148dbe |
work_keys_str_mv |
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