3.9 Article Proceedings Paper

Critical appraisal of the clinical and pathologic predictors of survival after resection of large hepatocellular carcinoma

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ARCHIVES OF SURGERY
卷 140, 期 5, 页码 450-457

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AMER MEDICAL ASSOC
DOI: 10.1001/archsurg.140.5.450

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Hypothesis: A subset of patients with hepatocellular carcinoma (HCC) with a diameter of 10 cm or larger may benefit from hepatic resection. Design: Retrospective study of a multi-institutional database. Setting: Five major hepatobiliary centers. Patients: We identified 300 patients who underwent hepatic resection for HCC 10 cm or larger. Main Outcome Measures: Clinical and pathologic data were collected, and prognostic factors were evaluated by univariate and multivariate analyses. Patient survival was stratified according to a clinical scoring system and pathologic T classification. Results: The perioperative mortality rate was 5%. At a median follow-up of 32 months, the median survival was 20.3 months, and the 5-year actuarial survival rate was 27%. Four clinical factors-alpha-fetoprotein of 1000 ng/mL or higher, multiple tumor nodules, the presence of major vascular in- vasion, and the presence of severe fibrosis-were significant predictors of poor survival (all P <.05). Patients were assigned a clinical score according to the following risk factors: 1, no factor; 2, one or two factors; or 3, three or four factors. On the basis of the clinical score, patients could be stratified into only 2 distinct prognostic groups: no factor (score of 1) vs I or more factors (score of 2 or 3) (P <.001). In contrast, when patients were Stratified according to pathologic T classification, 3 distinct groups were identified: T1 vs T2 vs T3 and T4 combined (P <.001). Fifty-six percent of the patients with a clinical score of 2 and 20% of patients with a clinical score of 3 actually had T1 or T2 disease on pathologic examination. Conclusions: Patients with large HCCs should be considered for liver resection as this treatment is associated with a 5-year survival rate exceeding 25%. Clinical predictors should not be used to exclude patients from surgical resection because these factors do not reliably predict outcome.

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