Chylous mesenteric cysts manifest as an abdominal mass, abdominal distention, and/or acute abdomen more often in children than in adults. The clinical presentation suggests some association with the localization of the cysts. A good prognosis can be expected with removal of the cyst and the affected intestinal segment.

BACKGROUND: The intelligent diagnosis of thyroid nodules in ultrasound image is an important research issue. Automatically locating the region of interest (ROI) of thyroid nodules and providing pre-diagnosis results can help doctors to diagnose faster and more accurate. OBJECTIVES: This study aims to propose a model, which can detect multiple nodules stably and accurately in order to avoid missed detection and misjudgment. In addition, the detection speed of the model needs to be fast for real-time diagnosis in ultrasound images. METHODS: Based on the object detection technology, we propose an accurate, robust and high-speed network with multiscale fusion strategy called Efficient-YOLO, which can realize the localization and recognition of nodules at the same time. Finally, multiple metrics are used to measure the diagnostic ability of the model. RESULTS: Experimental results conducted on 3,562 ultrasound images show that our new model greatly increases the accuracy and speed of the detection compared with the baseline model. The best mAP is 92.64%, and the fastest detection speed is 45.1 frames per second. CONCLUSIONS: This study proposed an effective method to diagnosis thyroid nodules automatically, which can meet the real-time requirements, indicating that its effectiveness and feasibility for future clinical application.

Background: Radiomics strategies exhibit great promise in the context of thyroid nodule diagnosis. This study aimed to compare radiomics features of different sizes of medullary thyroid carcinoma (MTC) and papillary thyroid carcinoma (PTC) tumors and to compare the efficiency of radiomics approaches as a means of differentiating between these tumor types. Methods: In total, 86 MTC and 330 PTC nodules were divided into the macronodular (>10 mm) and micronodular (⩽10 mm) categories. The radiomics features of these nodules were analyzed to identify independent prognosis factors and evaluate the efficacy of individual and combined indicators as predictors of tumor type. Results: In total, 12 radiomics features were found to differ significantly between MTC and PTC macronodules, while 6 differed significantly between MTC and PTC micronodules. Shape 2D_Sphericity, firstorder_Skewness, glrlm_RunLengthNonUniformity, glszm_GrayLevelNonUniformity, and glszm_SizeZoneNonUniformity were features that were independently associated with the differential diagnoses of MTC and PTC macronodules. Receiver operating characteristic (ROC) curve analyses of the efficacy of these 5 single indicators and a combined indicator composed thereof yielded area under the curve (AUC) values of 0.621, 0.678, 0.704, 0.762, 0.747, and 0.824, respectively, with respective sensitivities of 55.3%, 43.0%, 53.1%, 56.3%, 46.9%, and 65.6%, and respective specificity values of 65.6%, 89.1%, 81.6%, 88.8%, 95.0%, and 91.1%. The glrlm_RunEntropy and glszm_SizeZoneNonUniformity features were identified as independent factors associated with the differential diagnoses of MTC and PTC micronodules. Receiver operating characteristic curve analyses of the efficacy of these 2 single indicators and a combined indicator composed thereof yielded respective AUC values of 0.678, 0.678, and 0.771; Sensitivities of 57.0%, 72.7%, and 72.7%; and specificities of 77.3%, 64.2%, and 77.5%. Conclusions: A range of different radiomics features can enable effective differentiation between MTC and PTC nodules of different sizes. Moreover, analyses of combinations of radiomics features yielded diagnostic efficiency values higher than those associated with single radiomics features, highlighting a more reliable approach to diagnosing MTC and PTC tumors.

Background: Accurate diagnosis of high-risk nodules of 2015 American thyroid association(ATA) would reduce invasive testing. Elastography is useful for identifying benign and malignant thyroid nodules. Aims: To investigate the diagnostic efficiency of elastography for high-suspicion thyroid nodules based on the 2015 guidelines in the Chinese population. Materials and Methods: A total of 1445 thyroid nodules were subjected to conventional ultrasound and strain elastography examinations. Receiver operating characteristic(ROC) curves were plotted to evaluate the diagnostic performance of elasticity score(ES) and strain ratio(SR). Logistic regression analysis was used to determine the predictors of malignancy. Results: The areas under the curve of ES and SR were 0.828 and 0.732. The sensitivity, specificity, accuracy, positive predictive value(PPV) and negative predictive value(NPV) of ES were 92.4%, 60.7%, 79.0%, 76.3% and 85.5% , and those of the SR were 81.1%, 50.1%, 68.9%, 65.9% and 67.9%. Logistic regression analysis showed that microcalcification (OR=5.290), taller than wide (OR=12.710), irregular margin (OR=10.117), extrathyroidal extension (OR=6.412), ES (OR=3.741) and SR (OR=1.083) were independent predictors of malignant thyroid nodules. Sensitivity, specificity, accuracy, PPV and NPV of ES were all superior in nodules ≥1 cm than in those <1 cm (95.0% vs 90.4%, 68.8% vs 56.8%, 85.9% vs 74.4%, 85.2% vs 69.9%, 87.8% vs 84.2%, respectively). Conclusions: Elastography with ES is valuable for assessment of high-suspicion thyroid nodules based on the 2015 ATA guidelines, especially in nodules ≥1 cm.