Purpose To investigate the value of enhanced CT gray-level co-occurrence matrix(GLCM)for predicting central lymph node metastasis(CLNM)in cN0 papillary thyroid carcinoma.Materials and Methods Between January 2020 to December 2021,55 cases confirmed cN0 papillary thyroid carcinoma in Xuzhou Central Hospital by clinical and surgical pathology were analyzed retrospectively.According to the postoperative pathological results,all 55 cases were divided into CLNM-positive(34 cases)and CLNM-negative groups(21 cases).All patients underwent dual-phase enhanced CT scan of the neck before operation.Image J software was performed to extract the GLCM parameters(angular second moment,contrast,correlation,inverse difference moment,entropy)of the maximum slice of the tumor in the arterial(A)and venous(V)phases,these parameters between the GLCM parameters of CLNM-positive and negative groups were compared.And the receiver operating characteristic curve was applied to evaluate the prediction efficiency.Results A-angular second moment,A-entropy and V-entropy were significant differences between the two groups(t/Z=-2.140,2.753,2.736,all P<0.05),no significant differences were observed in other parameters between the two groups(P>0.05).The area under curve value of A-angular second moment,A-entropy,V-entropy,combined A-angular second moment and A-entropy to predict CLNM was 0.672,0.706,0.686,0.734,respectively.Combined A-angular second moment and A-entropy had the best predictive efficacy,with the sensitivity and specificity were 76.47%and 66.67%,respectively.Conclusion Enhanced CT GLCM has the efficacy to preoperative CLNM in cN0 papillary thyroid carcinoma patients,combined arterial phase parameter A-angular second moment and A-entropy has the best prediction efficiency.
NETL
NSTL
万方数据
