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Application value of ultrasound combined with clinical index prediction model in the diagnosis of hepatoblastoma |
XIAO Shuang1,2, HE Xiangling1, GONG Cheng2, WEI An1 |
1. Hunan Provincial People's Hospital/The First Affiliated Hospital of Hunan Normal University, Changsha 410005, China; 2. Loudi Health Center For Women And Children, Loudi 417099, China |
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Abstract Objective To explore the application value of the combined prediction model of ultrasound and clinical indicators in the diagnosis of hepatoblastoma (HB). Methods A retrospective analysis of 81 cases of focal liver lesions confirmed by surgical resection or biopsy in Hunan Provincial People's Hospital was conducted. Based on the pathological results, they were divided into HB group and non HB group. General clinical data, AFP, platelet concentration, maximum diameter of tumor, and ultrasound signs were recorded. Mann-Whitney U test, independent sample t-test, and chi-square test were used for comparison between groups, Using binary logic regression to analyze the influencing factors for the diagnosis of HB and establish a predictive model for indicators with inter group differences, the diagnostic efficacy of a single indicator and a joint predictive model were compared using receiver operating characteristic (ROC). Results There were significant differences in age, AFP, platelets, maximum tumor diameter, liquefaction, bleeding, metastasis, and vascular involvement between the groups (P<0.05). The binary logistic regression analysis showed that age, maximum diameter and liquefaction were independent influencing factors of HB, and the simplified equation was obtained by incorporating them into the prediction model. The ROC showed that the prediction model and the simplified equation had higher diagnostic efficiency than the single index. Conclusion The application value of ultrasound combined with clinical indicator prediction model in the diagnosis of hepatoblastoma is superior to that of a single indicator. The use of simplified equations is simple and fast, which can improve the detection rate of hepatoblastoma and provide a reference basis for clinical diagnosis of hepatoblastoma.
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Received: 15 February 2023
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