Objective. To investigate the effects of coxsackievims B3 (CVB3) on ion channel currents in rat ventricular my-Methods. Rat hearts were isolated with collagenase to acquire single ventricular myocytes, L-type voltnge-depen-dent calcium channel( VDCC)current (Ica), Na + current (INa), outward potassium current (Iout), inwardly rectifying potassium current(IKI) were recorded using whole cell patch clamp techniques. Results. CVB3 infection increased Ica and Iout, while decreased IKI; but it had no obvious effect on INa. Conclusion. Tne effects of CVB3 on Ica、 Iout、 IKI may be one of the mechanisms of myocytes damage and the oc-currence of abnormal electroactivities induced by CVB3 infection.

Objective·To investigate the imaging features of computed tomography(CT)and magnetic resonance imaging(MRI)in the patients with Kimura disease(KD)in the head and neck.Methods·Sixty-four cases of KD in the head and neck comfirmed by histopathology were retrospectively collected from 2009 to 2023 in Shanghai Ninth People's Hospital,Shanghai Jiao Tong University School of Medicine.All patients completed CT and/or MRI enhancement imaging before surgery.Clinical and imaging characteristics were collected,recorded and analyzed,including age,gender,peripheral blood eosinophilic ratio,serum IgE level,the lesion location,shape,size,CT density and degree of enhancement,MRI signal intensity and degree of enhancement,apparent diffusion coefficient(ADC),time-signal intensity curve(TIC)patterns,wash-in rate,and time to peak(TTP).Results·The average age of the 64 KD patients was(40±19)years,and 92.2%were males.A total of 73.5%of the patients showed an elevated ratio of peripheral blood eosinophil,and all 10 tested patients exhibited increased serum IgE levels.There were 82 extranodal(subcutaneous and glandular)lesions and 144 lymph node lesions detected by CT and MRI.Among the extranodal lesions,80.5%were subcutaneous or glandular patchy lesions with unclear boundaries,and the rest were nodular lesions with clear boundaries.All lesions exhibited isodensity on CT scans and showed isointensity on T1-weighted imaging(T1WI)and hyperintensity on T2-weighted imaging(T2WI)in MRI.Most extranodal lesions tended to show heterogeneous enhancement,while most lymph node lesions showed homogeneous enhancement.The median ADCs of the extranodal lesions and the lymph node lesions were 1.04×10-3 mm2/s and 0.67×10-3 mm2/s,respectively,which were significantly different(P=0.000).The dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)results showed that the TIC patterns of extranodal lesions were predominantly type Ⅰ andⅡ,accounting for 57.5%and 42.5%,respectively;while the TIC patterns of lymph node lesions were predominantly type Ⅱ(96.6%).The difference in the TTP and the wash-in rate between the extranodal lesions and the lymph node lesions were both statistically significant(P=0.000).Conclusion·Extranodal lesions and lymph node lesions of KD both show isodensity on CT,and isointensity on T1WI and hyperintensity on T2WI in MRI.Extranodal lesions often show high ADC,TIC type Ⅰ or Ⅱ,and mostly heterogeneous enhancement;lymph node lesions often show low ADC,TIC type Ⅱ,and mostly homogenous enhancement.

Objective:To establish a diagnostic decision tree model for parotid tumors closely related to clinical treatment decisions based on multiparametric MRI and to explore and validate its clinical value in parotid tumor diagnosis.Methods:This study was a cross-sectional study that retrospectively collected MRI data from 461 patients with pathologically confirmed parotid tumors from June 2018 to December 2022 at the Ninth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, including 364 cases of benign tumors, 82 cases of malignant epithelial tumors, and 15 cases of lymphoma. Stratified random sampling was performed according to pathological results to divide the data into a training set (326 cases) and a validation set (135 cases). In the training set, there were 256 cases of benign tumors, 59 cases of malignant epithelial tumors, and 11 cases of lymphoma, while in the validation set, there were 108 cases of benign tumors, 23 cases of malignant epithelial tumors, and 4 cases of lymphoma. Based on MRI and clinical features, a decision tree model was established using the Chi-squared Automatic Interaction Detector (CHAID) algorithm, and the model was used for classification diagnosis. The diagnostic accuracy for benign tumors, malignant epithelial tumors, and lymphoma was calculated, and receiver operating characteristic curves were plotted to evaluate the diagnostic performance for each tumor type individually.Results:In the training set, four optimal diagnostic indicators for tumors were obtained through the CHAID algorithm, including tumor capsule, shape, apparent diffusion coefficient value, and time-signal curve type. A decision tree model was established based on these indicators. The overall diagnostic accuracy of the model for benign tumors, malignant epithelial tumors, and lymphoma was 90.8% (296/326) in the training set and 94.1% (127/135) in the validation set. The area under the curve for independent diagnosis of benign tumors, malignant epithelial tumors, and lymphoma in the training set was 0.964, 0.957, and 0.980, respectively, while in the validation set, it was 0.958, 0.944, and 0.992, respectively.Conclusion:The decision tree predictive model based on multi-parameter MRI demonstrates high efficacy in diagnosing benign tumors, malignant epithelial tumors, and lymphoma of the parotid gland.