GAO Hui jiang,DONG Qian,JIANG Bu xian,et al.Clinicopathological correlative analysis in infants with liver tumor.[J].Journal of Clinical Pediatric Surgery,,9():422.
Clinicopathological correlative analysis in infants with liver tumor.
- Keywords:
- Liver Neoplasma; Pathology; Infant
- Document code:
- A
- Abstract:
- ObjectiveTo discuss the clinical and pathological characteristics of liver tumor in infants and the relationship between tumor markers’ level and histopathology.MethodsWe retrospectively evaluated 26 liver tumor infants who admitted in our hospital between April 2000 to April 2010.ResultsAmong 26 infants, 23 underwent an integrity resection of liver tumor and diagnosed by the results of histopathology . Malignant liver tumor was more often than benign tumor and the ratio of them was 2.29：1 .The majority of malignant liver tumor was hepatoblastoma (15/16） and most benign tumors were hemangioma(3/7） and hamartoma (3/7）. The rate of AFP (+) was higher for malignant liver tumor than that of benign tumor with statistical significant difference (P=0.007).Whereas the prevalence of age and clinical symptoms had no statistical difference (P>0.05).The three other infants gave up therapy eventually.ConclusionsThe majority clinical symptom of liver tumor is abdominal mass , and most of them have no specific characteristics . We believe that many pediatric liver tumor may have well defined margins and tend to compress, rather than infiltrate or become embedded on the hepatic hilum, although this type of tumor may be enormous. The resected giant liver tumors involving the main hepatic veins and/or the retrohepatic vena cava, although challenging, is feasible and safe. The AFP levels correlate with tumor classification even in patients less than 1 year of age . Despite the baseline AFP levels are elevated within these populations , we conclude that AFP levels can be valuable in differentiating malignant from benign liver tumors and in predicting prognosis.
References:
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通讯作者：董蒨Email:dong.qian@qdumh.qd.sd.cn本课题获山东省医药卫生系统杰出学科带头人经费资助