Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Mild encephalitis/encephalopathy with reversible splenial lesion has special clinical-imaging features. According to the extent of lesion involvement, it can be divided into type Ⅰ and type Ⅱ. Clinically, type Ⅰ is more common, and type Ⅱ is rare. A rare case of recurrent type Ⅱ mild encephalitis/encephalopathy with reversible splenial lesion is reported. The patient presented with typical type Ⅱ mild encephalitis/encephalopathy with reversible splenial lesion for the first time, involving the corpus callosum and the deep white matter, and the lesions disappeared after a short-term reexamination. Two years later, the lesions recurred, and the scope of the lesions was similar to that of the first time, and the lesions disappeared after a short-term reexamination. The clinical and imaging findings are analyzed in combination with relevant literatures review in order to deepen the understanding of the disease and improve the level of diagnosis and treatment.

Objective To discuss the ultrasonographic characteristics of schistosomal appendicitis lesions. Methods Among the patients with schistosomal hepatopathy who were discovered by Color Doppler ultrasound in Huzhou Central Hospital from January 2012 to December 2015,50 cases with clear history of schistosomiasis and treatment were chosen as a schistosom?al hepatopathy group,meanwhile,50 normal people,who came from non?endemic areas,without schistosomal hepatopathy and schistosomiasis history were chosen as a control group. The two groups were examined by ultrasound scan of the appendix ,and the data of the largest diameter of the appendix and the thickness of the appendix wall were collected,and the sonographic char?acteristics of their appendixes,such as whether the echo of the appendix wall was even or not,were observed. Results The minimum internal diameter of the appendix cavity and the thickness of the appendix wall of the schistosomal hepatopathy group were(2.090 ± 0.790)mm and(1.332 ± 0.313)mm ,respectively,the former was significantly narrower than that of the control group,while the latter was significantly thicker than that of the control group(t=2.647,-4.526,respectively,both P<0.05). The proportions of those with inhomogeneous echo,indistinctness structure,uneven thickening of the appendix wall,as well as having intestinal contents in the appendix cavity in the schistosomal hepatopathy group were higher than those in the control group(χ2=12.000,18.537,24.008,4.244,respectively,all P<0.05). Conclusions Schistosomal appendicitis lesions have obvious ultrasonographic characteristics under ultrasound. Ultrasound can play an important role in judging whether the appen?dix of schistosomiasis patients is involved and discovering the lesion of appendix early.