Analysis of Factors Affecting the Accuracy of Frozen Diagnosis in Thyroid Tumor Resection
Objective To explore the factors affecting the accuracy of frozen diagnosis in thyroid tumor resection.Methods A total of 90 patients with thyroid tumors who were treated in Yanling County People's Hospital from December 2019 to December 2022 were selected.All the research subjects underwent frozen section(FS)diagnosis and routine pathological diagnosis after thyroid tumor surgery.With the results of routine pathological diagnosis after surgery as the gold standard,the consistency of diagnosis using intraoperative freezing,delayed diagnosis,and the sensitivity,specificity,and accuracy of diagnosis were statistically analyzed.At the same time,the related factors of the research objects that failed to be successfully diagnosed were analyzed to explore the related factors causing the deviation of frozen diagnosis in thyroid tumor resection.Results A total of 51 patients were finally diagnosed as malignant thyroid tumors among the 90 research subjects.In the results of intraoperative frozen diagnosis,there were 6 false negatives and 3 delayed diagnoses;there were 2 delayed diagnoses in routine pathological diagnosis after surgery.The accuracy of intraoperative frozen diagnosis and routine pathological diagnosis after surgery was 90.00%[(42+39)/90];with routine pathological diagnosis after surgery as the gold standard,the sensitivity of intraoperative frozen diagnosis was 82.35%[42/(42+9)],and the specificity was 100%[39/(39+0)];inadequate sampling of intraoperative frozen sections,substandard freezing temperature,restrictions on the sampling area,and short working years of pathologists are independent risk factors for false negatives in intraoperative frozen section examination.Conclusion The technology of intraoperative frozen diagnosis of thyroid tumors has a high consistency with routine pathological diagnosis after surgery,but there are still some cases where the diagnosis results are biased in the diagnosis process.The diagnosis process needs to pay close attention to the impact of sampling conditions and objective conditions to obtain more ideal diagnosis results.
万方数据
维普
