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Background: Owing to advances in the multidisciplinary treatment of hepatocellular carcinoma (HCC), a conceptualization and definition for borderline resectable (BR) HCC, which carries a high risk of recurrence, is warranted. In this study, we aimed to define BR-HCC using a prognosis-oriented approach. Methods: The study included an original cohort of 221 patients and an independent validation cohort of 181 patients who had undergone primary hepatic resection for HCC. To define oncological BR-HCC, we evaluated the risk factors for early recurrence beyond the Milan criteria within 1 year after hepatic resection using multivariable logistic regression models. Subsequently, we developed high-risk scores using the identified risk factors and defined BR-HCC. The utility of high-risk score was validated in the validation cohort. Results: In the original cohort (HBV:HCV=20%:29%), recurrence beyond the Milan criteria within 1 year was observed in 28 patients (13%), with a 5-year survival rate of 25%. Multivariable analysis identified risk factors for recurrence beyond the Milan criteria within 1 year, including serum α-fetoprotein levels ≥ 12 ng/ml (p=0.02), tumor diameters > 5 cm (p=0.02), tumor number ≥ 3 (p=0.001), and macrovascular invasion (p=0.04). BR-HCC was defined as a tumor with two or more identified risk factors, and 42 patients (19%) were diagnosed with BR-HCC, with a 5-year survival rate of 51%. In the validation cohort, 45 (25%) patients had BR-HCC, with a 5-year survival rate of 42%. Conclusions: The prognosis-oriented definition of BR-HCC enabled us to identify patients who are susceptible to early unresectable recurrence and have poor survival after hepatic resection for HCC. For patients with BR-HCC, preoperative systemic therapy may be a viable option to improve post-resection outcomes.
Background: Owing to advances in the multidisciplinary treatment of hepatocellular carcinoma (HCC), a conceptualization and definition for borderline resectable (BR) HCC, which carries a high risk of recurrence, is warranted. In this study, we aimed to define BR-HCC using a prognosis-oriented approach. Methods: The study included an original cohort of 221 patients and an independent validation cohort of 181 patients who had undergone primary hepatic resection for HCC. To define oncological BR-HCC, we evaluated the risk factors for early recurrence beyond the Milan criteria within 1 year after hepatic resection using multivariable logistic regression models. Subsequently, we developed high-risk scores using the identified risk factors and defined BR-HCC. The utility of high-risk score was validated in the validation cohort. Results: In the original cohort (HBV:HCV=20%:29%), recurrence beyond the Milan criteria within 1 year was observed in 28 patients (13%), with a 5-year survival rate of 25%. Multivariable analysis identified risk factors for recurrence beyond the Milan criteria within 1 year, including serum α-fetoprotein levels ≥ 12 ng/ml (p=0.02), tumor diameters > 5 cm (p=0.02), tumor number ≥ 3 (p=0.001), and macrovascular invasion (p=0.04). BR-HCC was defined as a tumor with two or more identified risk factors, and 42 patients (19%) were diagnosed with BR-HCC, with a 5-year survival rate of 51%. In the validation cohort, 45 (25%) patients had BR-HCC, with a 5-year survival rate of 42%. Conclusions: The prognosis-oriented definition of BR-HCC enabled us to identify patients who are susceptible to early unresectable recurrence and have poor survival after hepatic resection for HCC. For patients with BR-HCC, preoperative systemic therapy may be a viable option to improve post-resection outcomes.
Background and aim The presence of microvascular invasion (MVI) will impair the surgical outcome of hepatocellular carcinoma (HCC). Adipose and muscle tissues have been confirmed to be associated with the prognosis of HCC. We aimed to develop and validate a nomogram based on adipose and muscle related-variables for preoperative prediction of MVI in HCC. Methods One hundred fifty-eight HCC patients from institution A (training cohort) and 53 HCC patients from institution B (validation cohort) were included, all of whom underwent preoperative CT scan and curative resection with confirmed pathological diagnoses. Least absolute shrinkage and selection operator (LASSO) logistic regression was applied to data dimensionality reduction and screening. Nomogram was constructed based on the independent variables, and evaluated by external validation, calibration curve, receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results Histopathologically identified MVI was found in 101 of 211 patients (47.9%). The preoperative imaging and clinical variables associated with MVI were visceral adipose tissue (VAT) density, intramuscular adipose tissue index (IMATI), skeletal muscle (SM) area, age, tumor size and cirrhosis. Incorporating these 6 factors, the nomogram achieved good concordance index of 0.79 (95%CI: 0.72–0.86) and 0.75 (95%CI: 0.62–0.89) in training and validation cohorts, respectively. In addition, calibration curve exhibited good consistency between predicted and actual MVI probabilities. ROC curve and DCA of the nomogram showed superior performance than that of models only depended on clinical or imaging variables. Based on the nomogram score, patients were divided into high (> 273.8) and low (< = 273.8) risk of MVI presence groups. For patients with high MVI risk, wide-margin resection or anatomical resection could significantly improve the 2-year recurrence free survival. Conclusion By combining 6 preoperative independently predictive factors of MVI, a nomogram was constructed. This model provides an optimal preoperative estimation of MVI risk in HCC patients, and may help to stratify high-risk individuals and optimize clinical decision making.
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