Predicting central lymph node metastasis in patients with papillary thyroid carcinoma based on ultrasound radiomic and morphological features analysis.

OBJECTIVES: To build a combined model based on the ultrasound radiomic and morphological features, and evaluate its diagnostic performance for preoperative prediction of central lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC). METHOD: A total of 295 eligible patients, who underwent preoperative ultrasound scan and were pathologically diagnosed with unifocal PTC were included at our hospital from October 2019 to July 2022. According to ultrasound scanners, patients were divided into the training set (115 with CLNM; 97 without CLNM) and validation set (45 with CLNM; 38 without CLNM). Ultrasound radiomic, morphological, and combined models were constructed using multivariate logistic regression. The diagnostic performance was assessed by the area under the curve (AUC) of the receiver operating characteristic curve, accuracy, sensitivity, and specificity. RESULTS: A combined model was built based on the morphology, boundary, length diameter, and radiomic score. The AUC was 0.960 (95% CI, 0.924-0.982) and 0.966 (95% CI, 0.901-0.993) in the training and validation set, respectively. Calibration curves showed good consistency between prediction and observation, and DCA demonstrated the clinical benefit of the combined model. CONCLUSION: Based on ultrasound radiomic and morphological features, the combined model showed a good performance in predicting CLNM of patients with PTC preoperatively.

A comparative analysis of diagnostic values of high-frequency ultrasound and fiberoptic ductoscopy for pathologic nipple discharge.

BACKGROUND: This study aimed to compare the diagnostic accuracy of high-frequency ultrasound (HFUS) and fiberoptic ductoscopy (FDS) for pathologic nipple discharge (PND). METHODS: HFUS and FDS were conducted in 210 patients with PND (248 lesions) treated at our hospital. The diagnostic accuracy of these two methods was compared using pathological diagnosis as the standard. RESULTS: Among 248 lesions, 16 and 15 of 16 malignant lesions were accurately diagnosed by HFUS and FDS, respectively. Of 232 benign lesions, 183 and 196 cases were accurately diagnosed by HFUS and FDS, respectively. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of HFUS in diagnosis of intraductal lesions were 84.36% (95% CI 79.26-88.39%), 60% (95% CI 23.07-92.89%), 96.03% (95% CI 96.55-99.83%), and 7.31% (95% CI 2.52-19.4%) respectively. The sensitivity, specificity, PPV, and NPV of FDS in diagnosis of intraductal lesions were 86.83% (95% CI 82.00-90.52%), 100% (95% CI 56.55-100%), 100% (95% CI 98.21-100%), and 13.51% (95% CI 5.91-27.98%) respectively. Diagnostic accuracy rates of HFUS and FDS were 83.87% (208/248) and 85.08% (211/248), respectively, exhibiting no statistically differences (χ2 = 0.80, P > 0.05). The accuracy of HFUS combined with FDS was 93.14% (231/248), showing statistically differences (χ2 = 10.91, P < 0.05). CONCLUSIONS: Both HFUS and FDS demonstrated high diagnostic values for PND. HFUS has the advantage of non-invasive for nipple discharge with duct ectasia, exhibited good qualitative and localization diagnostic values. It is the preferred evaluation method for patients with nipple discharge. When HFUS cannot identify the cause of PND, FDS can be considered.

Right Sinus of Valsalva Aneurysm and Dissection into the Interventricular Septum: A Case Report.

Sinus of Valsalva aneurysm (SVA) is considered to be an uncommon cardiac anomaly, carrying a very high rate of mortality. After treatment, the prognosis is excellent. Thus, it is important to make a timely diagnosis and clarify the anatomical details of the SVA. Here, we report a right SVA with dissection into the interventricular septum, with bulging and incomplete rupture into the left outflow tract. The SVA was evaluated using echocardiography (transoesophageal, transthoracic, and three-dimensional echocardiography) and cardiac computed tomography (CT), especially three-dimensional reconstruction, to help us plan the surgical approach. After surgery, the patient's recovery was favorable.