A simplified prediction model for early intrahepatic recurrence after hepatectomy for patients with unilobar hepatocellular carcinoma without macroscopic vascular invasion: An implication for adjuvant therapy and postoperative surveillance. (September 2019)

• Record Type: Journal Article
• Authors: Ng, Kelvin K.; Cheung, Tan-To; Pang, Herbert H.; Wong, Tiffany C.; Dai, Jeff W.; Ma, Ka-Wing; She, Wong-Hoi; Kotewall, C.Nicholas; Lo, Chung-Mau
• Is Part Of: Surgical oncology. Volume 30(2019)
• Page Start: 6
• Page End: 12
• Publication Date: 2019-09
• Subjects: Cancer -- Surgery -- Periodicals; Neoplasms -- surgery -- Periodicals; Cancer -- Chirurgie -- Périodiques; Electronic journals; 616.994059
• DOI: 10.1016/j.suronc.2019.05.017
• Languages: English
• ISSNs: 0960-7404

Abstract

Abstract: Background: An accurate prediction model of early recurrence of hepatocellular carcinoma (HCC) after hepatectomy is important to ascertain the postoperative adjuvant treatment and surveillance. Methods: This is a retrospective cohort study including 1125 patients with HCC underwent curative hepatic resection. They were randomly divided into training (n = 562) and validation (n = 563) sets. Early intrahepatic recurrence within 18 months from surgery is the primary outcome. In the training set, a prediction scoring model (Recurrent Liver Cancer Score RLCS) was developed, which was legitimised in the validation set. Results: RLCS was developed based on four clinicopathologic risk factors (serum alpha fetoprotein, tumor size, multiple tumors or satellite nodules, and microvascular invasion). Low-risk and high-risk groups had statistically significant differences in early recurrence rates (18% vs. 43.8%). The 5-year recurrence-free survival rates of low risk and high risk groups were 52.9% and 27.8%, respectively. This model showed good calibration and discriminatory ability in the validation set ( c- index of 0.647). Conclusion: RLCS is a user-friendly prediction scoring model which can accurately predict the occurrence of early intrahepatic recurrence of HCC. It establishes the basis of postoperative adjuvant treatment and surveillance in future studies. Highlights: User-friendly prediction model (RLCS) of early recurrence of HCC. 4 risk factors (serum AFP, tumor size, multiplicity, and microvascular invasion). Low-risk and high-risk groups had different recurrence and survival rates. Good calibration and discriminatory ability of RLCS.