RESUMO
Objective: To compare the diagnostic performance of thyroid peroxidase antibody (TPOAb), thyroglobulin antibody (TgAb) and high-resolution ultrasound (HRUS) in euthyroid Hashimoto's thyroiditis (HT). Methods: From January 2016 to January 2019, patients with complete data of preoperative thyroid function, TPOAb, TgAb and HRUS who had undergone thyroid surgery treatment at the First Affiliated Hospital with Nanjing Medical University were reviewed. The diagnostic value of different diagnostic methods was compared using histopathology (HP) examination result as the gold standard. Results: The data of 792 patients (217 males and 575 females) was retrospectively collected. The M(Q1,Q3)of patients' age was 41(32,52)years and the range was 16-75 years. With HP as the diagnostic gold standard, TPOAb exhibited similar sensitivity (59.3% vs 61.2%, P=0.752), accuracy (85.0% vs 83.6%, P=0.379), area under the receiver operating characteristic curve (AUC) (0.767 vs 0.764, P=0.886) and higher specificity (94.2% vs 91.6%, P=0.033) when compared with TgAb in diagnosing euthyroid HT. They both exhibited a higher sensitivity (59.3% vs 44.5%, P = 0.002; 61.2% vs 44.5%, P<0.001), accuracy (85.0% vs 79.7%, P = 0.001; 83.6% vs 79.7%, P = 0.013) and AUC (0.767 vs 0.684, P<0.001; 0.764 vs 0.684, P<0.001) than HRUS. Compared with each method alone, the sensitivity and AUC of TPOAb combined with TgAb or HRUS were improved. The combination of three methods showed the greatest sensitivity. Concordance analysis demonstrated that TPOAb and HP had a moderate agreement (Kappa=0.580, 95%CI:0.513-0.647,P<0.001). Conclusions: The combination of thyroid antibodies, TPOAb and TgAb, can improve sensitivity, accuracy and AUC of diagnosis in euthyroid Hashimoto's thyroiditis. The two antibodies combined with HRUS exhibited the highest diagnostic performance. Elevated TPOAb showed moderate diagnostic consistency with histopathologic evidence of HT.
Assuntos
Doença de Hashimoto , Tireoidite , Adolescente , Adulto , Idoso , Autoanticorpos , Feminino , Doença de Hashimoto/diagnóstico por imagem , Humanos , Masculino , Pessoa de Meia-Idade , Estudos Retrospectivos , Adulto JovemRESUMO
BACKGROUND AND PURPOSE: Accurate prediction of extrathyroidal extension and subsequent recurrence is crucial in papillary thyroid cancer clinical management. Our aim was to conduct iodine map-based radiomics to predict extrathyroidal extension and to explore its prognostic value for recurrence-free survival in papillary thyroid cancer. MATERIALS AND METHODS: A total of 452 patients with papillary thyroid cancer were retrospectively recruited between June 2017 and June 2020. Radiomics features were extracted from noncontrast images, dual-phase mixed images, and iodine maps, respectively. Random forest and least absolute shrinkage and selection operator (LASSO) were applied to build 6 radiomics scores (noncontrast radiomics score_random forest; noncontrast rad-score_LASSO; mixed rad-score_random forest; mixed rad-score_LASSO; iodine radiomics score_random forest; iodine radiomics score_LASSO) respectively. Logistic regression was used to construct 6 radiomics models incorporating 6 radiomics scores with clinical risk factors and to compare them with the clinical model. A radiomics model that achieved the highest performance was presented as a nomogram and assessed by discrimination, calibration, clinical usefulness, and prognosis evaluation. RESULTS: Iodine radiomics scores performed significantly better than mixed radiomics scores. Both of them outperformed noncontrast radiomics scores. Iodine map-based radiomics models significantly surpassed the clinical model. A radiomics nomogram incorporating size, capsule contact, and iodine radiomics score_random forest was built with the highest performance (training set, area under the curve = 0.78; validation set, area under the curve = 0.84). Stratified analysis confirmed the nomogram stability, especially in group negative for CT-reported extrathyroidal extension (area under the curve = 0.69). Nomogram-predicted extrathyroidal extension risk was an independent predictor of recurrence-free survival. A high risk for extrathyroidal extension portended significantly lower recurrence-free survival than low risk (P < .001). CONCLUSIONS: Iodine map-based radiomics might be a supporting tool for predicting extrathyroidal extension and subsequent recurrence risk in patients with papillary thyroid cancer, thus facilitating clinical decision-making.
Assuntos
Iodo , Neoplasias da Glândula Tireoide , Humanos , Nomogramas , Estudos Retrospectivos , Câncer Papilífero da Tireoide , Neoplasias da Glândula Tireoide/diagnóstico por imagem , Neoplasias da Glândula Tireoide/cirurgia , Tomografia Computadorizada por Raios X/métodosRESUMO
OBJECTIVE: The role of routine central lymph node dissection (CLND) for clinically central lymph node negative (CN0) papillary thyroid microcarcinoma (PTMC) remains uncertain. We aim to determine the predictive factors for central lymph node metastasis (CLNM) in papillary thyroid microcarcinoma. PATIENTS AND METHODS: A total of 273 patients diagnosed with clinically central lymph node negative PTMC from 2014 to 2016 were included. The predictive risk factors for CLNM were analyzed with respect to age, sex, tumor size, tumor multifocal, lymphadenectasis of lateral neck, capsular invasion, extra capsular spread (ECS), coexistence of chronic lymphocytic thyroiditis (Hashimoto thyroiditis, HT) and nodular goiter (NG), BRAFV600E mutation and subtype of papillary thyroid carcinoma (PTC). Univariate and multivariate analyses were performed to identify the risk factors for CLNM. RESULTS: Among the 273 patients, the CLNM occurred in 80 patients (29.3%). By univariate and multivariate analyses, tumor size (OR 2.07; p<0.001), multifocal (OR 2.67; p<0.004), lymphadenectasis of lateral neck (OR 9.28; p<0.001), tumor extent (OR 42.01; p<0.001) were independently correlated with CLNM. In further study, dorsal part of solitary lesion (OR: 16.312, 95%CI: 3.349-79.455, p=0.001), capsular invasion (OR: 42.012, 95% CI: 5.209-338.861, p<0.001), 6