Predicting 18F-FDG SUVs of metastatic pulmonary nodes from CT images in patients with differentiated thyroid cancer by using a convolutional neural network

PurposeThe aim of this study was to predict standard uptake values (SUVs) from computed tomography (CT) images of patients with lung metastases from differentiated thyroid cancer (DTC-LM).MethodsWe proposed a novel SUVs prediction model using 18-layer Residual Network for generating SUVmax, SUVmean, SUVmin of metastatic pulmonary nodes from CT images of patients with DTC-LM. Nuclear medicine specialists outlined the metastatic pulmonary as primary set. The best model parameters were obtained after five-fold cross-validation on the training and validation set, further evaluated in independent test set. Mean absolute error (MAE), mean squared error (MSE), and mean relative error (MRE) were used to assess the performance of regression task. Specificity, sensitivity, F1 score, positive predictive value, negative predictive value and accuracy were used for classification task. The correlation between predicted and actual SUVs was analyzed.ResultsA total of 3407 nodes from 74 patients with DTC-LM were collected in this study. On the independent test set, the average MAE, MSE and MRE was 0.3843, 1.0133, 0.3491 respectively, and the accuracy was 88.26%. Our proposed model achieved high metric scores (MAE=0.3843, MSE=1.0113, MRE=34.91%) compared with other backbones. The predicted SUVmax (R2 = 0.8987), SUVmean (R2 = 0.8346), SUVmin (R2 = 0.7373) were all significantly correlated with actual SUVs.ConclusionThe novel approach proposed in this study provides new ideas for the application of predicting SUVs for metastatic pulmonary nodes in DTC patients

The key role of 99mTc-MIBI SPECT/CT in the diagnosis of parathyroid adenoma: a case report

The concomitant occurrence of primary hyperparathyroidism (PHPT) due to parathyroid adenoma and papillary thyroid carcinoma (PTC) is not common. The co-occurrence of parathyroid tumors and thyroid diseases can lead to misdiagnosis owing to mutual interference of imaging in the early period of disease. The most commonly used imaging techniques for the preoperative localization of parathyroid and thyroid adenomas are technetium-99m sestamibi (99mTc-MIBI) scintigraphy and ultrasonography of the neck. Recently, 99mTc-MIBI single-photon emission computed tomography associated with computed tomography scintigraphy (SPECT/CT) has been used to detect PHPT, and its diagnostic value is being evaluated. Herein, we report a patient with an unusual co-occurrence of parathyroid adenoma and multiple thyroid diseases, including papillary thyroid carcinoma, thyroid adenoma and lymphocytic thyroiditis, which were localized with 99mTc-MIBI SPECT/CT and confirmed surgically. We suggest that 99mTc-MIBI SPECT/CT can play an important role in the diagnosis of parathyroid and thyroid lesions. Arch Endocrinol Metab. 2015;59(3):265-