In February 2023, a 48-year-old male with cough and expectoration was admitted to the Department of Pulmonary and Critical Care Medicine of Peking University People’s Hospital. CT indicated mediastinal soft-tissue mass under the tracheal carina. Meta-genomics next generation sequencing of mediastinal abscess suggested infection with Tropheryma whipplei, which was positive for periodic acid-Schiff staining. The patient had no history of diarrhea, weight loss, or joint pain. The patient was diagnosed with Whipple’s disease and treated with ceftriaxone followed by trimethoprim-sulfamethoxazole therapy. After 1-year post-discharge therapy, the patieny’s symptoms and general condition improved significantly, and remained to follow.

Objective To observe the influence of different acceleration factors(AF)on compressed sensing susceptibility weighted imaging(CS-SWI)for cerebral medullary veins of healthy people,and to screen the best AF.Methods Forty healthy volunteers were prospectively enrolled.Axial brain SWI images were obtained with CS technique under different AF(AF0,CS2,CS4,CS6,CS8 and CS10),and the phase value(PV)and standard deviation(SD)of bilateral septal vein(SV),internal cerebral vein(ICV),thalamus vein(TV),basal vein(BV)and dentate nucleus vein(DNV)were measured.Taken PV and SD of parietal white matter as controls,the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of venous images were calculated.Then the original images were reconstructed with minimum intensity projection,and the subjective quality scoring of reconstructed images were performed using a 5-point scale.SNR,CNR,PV and quality score were compared among images under different AF,and the best AF,i.e.with the best performances for displaying and quantitatively analyzing cerebral medullary veins in healthy people was obtained.Results Compared with those acquired with AF0,SNR and CNR of all cerebral medullary veins acquired with CS6,CS8 and CS10 were significantly different(all adjusted P＜0.05).Meanwhile,significant differences of PV in bilateral SV and right TV were found among CS6,CS8 and CS10,also in bilateral ICV,left TV and bilateral BV between CS8 and CS10(all adjusted P＜0.05).Conclusion Excessive AF might decrease image quality of CS-SWI for cerebral medullary veins.CS4 was the best AF for displaying and quantitatively analyzing cerebral medullary veins in healthy people.

Objective:To evaluate the development of fetal cerebral sulci and gyrus and the blood perfusion in pregnant women with gestational diabetes mellitus(GDM) by ultrasound.Methods:A total of 1 540 pregnant women with 28-34 weeks of pregnancy who underwent systematic screening in Henan Provincial People′s Hospital from January 2022 to October 2022 were prospectively selected, 100 pregnant women with GDM were selected as the GDM group. According to the effect of blood glucose control, the GDM group was divided into 2 groups: the satisfied control group (GDM group 1), and the dissatisfied control group (GDM group 2), with 50 cases in each group. At the same period, 50 healthy pregnant women at 28-34 weeks of gestation were enrolled as the control group. The differences of the sylvian fissure, parietooccipital sulci, calcarine sulci and cinguli sulci among the 3 groups were statistically analyzed. And the correlations between the deep of the brain cerebral sulci and gyrus and controlled blood glucose levels were evaluated. The umbilical artery pulsation index(UAPI), middle cerebral artery pulsation index(MCAPI) and ductus venosus pulsation index(DVPI) among the 3 groups were compared, and the differences in fetal blood perfusion among the 3 groups were evaluated.Results:There were no significant differences in the depths of the sylvian fissure, parietooccipital sulci, calcarine sulci and cinguli sulci between the control group and the GDM group 1 (all P>0.05), and they were larger than those of the GDM group 2 (all P<0.05). The depths of lateral fissure, parieto-occipital sulcus, cingulate sulcus and calcarine sulcus were negatively correlated with fasting blood glucose, 1 h and 2 h postprandial blood glucose (all P<0.05). There were no significant differences in MCAPI, UAPI and DVPI between the control group and GDM1 group (all P>0.05). The MCAPI in GDM 2 group was lower than that in the control group and GDM 1 group, and the UAPI and DVPI values were higher than those in the control group and GDM1 group(all P<0.05). Conclusions:The maturity of fetal cerebral sulci and gyrus in GDM pregnant women is related to the blood glucose control of pregnant women. The change of blood perfusion caused by persistent hyperglycemia in pregnant women and intrauterine hypoxia may cause the development retardation of cerebral sulci and gyrus.

Oral and maxillofacial malignant tumors threaten the life and health of patients, and seriously affect their swallowing, language function and face. 125I seeds brachytherapy for oral and maxillofacial malignant tumors has been widely concerned and studied because of its advantages such as less surgical trauma, large and uniform dose distribution in the target tissue, little damage to the surrounding normal tissue, and reducing radiation exposure of medical staff. Low-dose brachytherapy with 125I seeds can effectively reduce the tumor volume and prolong the survival time of patients. This article reviews the clinical application of 125I seeds brachytherapy in oral and maxillofacial malignant tumors.

Objective:To investigate the value of CT quantitative parameters of tumor and spleen in predicting the clinical stage of gastric cancer (Ⅰ/Ⅱ stage and Ⅲ/Ⅳ stage).Methods:This study was a case-control study. The data of 145 patients with gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from February 2019 to June 2021 were retrospectively collected, including 70 cases of Ⅰ/Ⅱ stage and 75 cases of Ⅲ/Ⅳ stage. On the baseline CT images, the tumor related parameters, including tumor thickness, length of tumor, CT attenuation of tumor unenhanced phase, CT attenuation of tumor arterial phase, CT attenuation of tumor venous phase were measured. The spleen related parameters, including splenic thickness, CT attenuation of splenic unenhanced phase, CT attenuation of splenic arterial phase, CT attenuation of splenic venous phase, and standard deviation of CT attenuation (CTsd) in splenic unenhanced phase were also measured. The independent sample t test or Mann-Whitney U test was used to compare the parameters between the Ⅰ/Ⅱ stage and Ⅲ/Ⅳ stage patients. The multi-factor logistic regression analysis was used to find the independent predictors of gastric cancer clinical stage, and establish the combined parameters. The efficiency to the diagnosis of gastric cancer stage of single and combined parameters was evaluated using the operating characteristic curve, and the DeLong test was used to compare the differences of area under the curve (AUC). Results:There were significant differences in tumor thickness, length of tumor, CT attenuation of tumor venous phase, CT attenuation of splenic unenhanced phase, CT attenuation of splenic venous phase, CTsd in splenic unenhanced phase between the Ⅰ/Ⅱ stage and Ⅲ/Ⅳ stage of gastric cancer ( P<0.05). Multivariate analysis showed that tumor thickness ( OR=1.073, 95% CI 1.026-1.123, P=0.002), CT attenuation of splenic venous phase ( OR=1.040, 95% CI 1.011-1.070, P=0.006) and CTsd in splenic unenhanced phase ( OR=1.625, 95% CI 1.330-1.987, P<0.001) were independent risk factors for the clinical stage of gastric cancer and the combined parameters were established. The AUC values of tumor thickness, CT attenuation of splenic venous phase, CTsd in splenic unenhanced phase and combined parameters were 0.655, 0.614, 0.749 and 0.806, respectively. The AUC of combined parameters was higher than those of tumor thickness and CT attenuation of splenic venous phase, and the differences were statistically significant ( Z=3.37, 3.82, both P<0.001). Conclusion:Tumor thickness, CT attenuation of splenic venous phase and CTsd in splenic unenhanced phase are independent risk factors for the clinical stage of gastric cancer, and combined parameters can improve the diagnostic efficiency.

Objective: To investigate the prognostic utility of radiomics features extracted from 18 F-fluorodeoxyglucose (FDG) PET/CT combined with clinical factors and metabolic parameters in predicting progression-free survival (PFS) and overall survival (OS) in individuals diagnosed with extranodal nasal-type NK/T cell lymphoma (ENKTCL). Materials and Methods: A total of 126 adults with ENKTCL who underwent 18 F-FDG PET/CT examination before treatment were retrospectively included and randomly divided into training (n = 88) and validation cohorts (n = 38) at a ratio of 7:3.Least absolute shrinkage and selection operation Cox regression analysis was used to select the best radiomics features and calculate each patient’s radiomics scores (RadPFS and RadOS). Kaplan–Meier curve and Log-rank test were used to compare survival between patient groups risk-stratified by the radiomics scores. Various models to predict PFS and OS were constructed, including clinical, metabolic, clinical + metabolic, and clinical + metabolic + radiomics models. The discriminative ability of each model was evaluated using Harrell’s C index. The performance of each model in predicting PFS and OS for 1-, 3-, and 5-years was evaluated using the time-dependent receiver operating characteristic (ROC) curve. Results: Kaplan–Meier curve analysis demonstrated that the radiomics scores effectively identified high- and low-risk patients (all P < 0.05). Multivariable Cox analysis showed that the Ann Arbor stage, maximum standardized uptake value (SUVmax), and RadPFS were independent risk factors associated with PFS. Further, β2-microglobulin, Eastern Cooperative Oncology Group performance status score, SUVmax, and RadOS were independent risk factors for OS. The clinical + metabolic + radiomics model exhibited the greatest discriminative ability for both PFS (Harrell’s C-index: 0.805 in the validation cohort) and OS (Harrell’s C-index: 0.833 in the validation cohort). The time-dependent ROC analysis indicated that the clinical + metabolic + radiomics model had the best predictive performance. Conclusion The PET/CT-based clinical + metabolic + radiomics model can enhance prognostication among patients with ENKTCL and may be a non-invasive and efficient risk stratification tool for clinical practice.

Objective:To evaluate the value of preoperative prediction of vessel invasion (VI) of locally advanced gastric cancer by machine learning model based on the venous phase enhanced CT radiomics features.Methods:A retrospective analysis of 296 patients with locally advanced gastric cancer confirmed by pathology in the First Affiliated Hospital of Zhengzhou University from July 2011 to December 2020 was performed. The patients were divided into VI positive group ( n=213) and VI negative group ( n=83) based on pathological results. The data were divided into training set ( n=207) and test set ( n=89) according to the ratio of 7∶3 with stratification sampling. The clinical characteristics of patients were recorded, and the independent risk factors of gastric cancer VI were screened by multivariate logistic regression. Pyradiomics software was used to extract radiomic features from the venous phase enhanced CT images, and the minimum absolute shrinkage and selection algorithm (LASSO) was used to screen the features, obtain the optimal feature subset, and establish the radiomics signature. Four machine learning algorithms, including extreme gradient boosting (XGBoost), logistic, naive Bayes (GNB), and support vector machine (SVM) models, were used to build prediction models for the radiomics signature and the screened clinical independent risk factors. The efficacy of the model in predicting gastric cancer VI was evaluated by the receiver operating characteristic curve. Results:The degree of differentiation (OR=13.651, 95%CI 7.265-25.650, P=0.003), Lauren′s classification (OR=1.349, 95%CI 1.011-1.799, P=0.042) and CA199 (OR=1.796, 95%CI 1.406-2.186, P=0.044) were independent risk factors for predicting the VI of locally advanced gastric cancer. Based on the venous phase enhanced CT images, 864 quantitative features were extracted, and 18 best constructed radiomics signature were selected by LASSO. In the training set, the area under the curve (AUC) of XGBoost, logistic, GNB and SVM models for predicting gastric cancer VI were 0.914 (95%CI 0.875-0.953), 0.897 (95%CI 0.853-0.940), 0.880 (95%CI 0.832-0.928) and 0.814 (95%CI 0.755-0.873), respectively, and in the test set were 0.870 (95%CI 0.769-0.971), 0.877 (95%CI 0.788-0.964), 0.859 (95%CI 0.755-0.961) and 0.773 (95%CI 0.647-0.898). The logistic model had the largest AUC in the test set. Conclusions:The machine learning model based on the venous phase enhanced CT radiomics features has high efficacy in predicting the VI of locally advanced gastric cancer before the operation, and the logistic model demonstrates the best diagnostic efficacy.

The purpose of this study was to review the research status of teatment position in patients with severe craniocerebral injury. It was intended to introduce the relevant treatment position, the relationship between the position and intracranial pressure, cerebral perfusion pressure, and the application status of treatment position, it provided evidence for the rehabilitation and nursing of patients with severe craniocerebral injury.

BACKGROUND: Previous studies have shown that lymph node metastasis only occurs in some mixed ground-glass nodules (mGGNs) which the pathological results were invasive adenocarcinoma (IAC). However, the presence of lymph node metastasis leads to the upgrading of tumor-node-metastasis (TNM) stage and worse prognosis of the patients, so it is important to perform the necessary evaluation before surgery to guide the operation method of lymph node. The aim of this study was to find suitable clinical and radiological indicators to distinguish whether mGGNs with pathology as IAC is accompanied by lymph node metastasis, and to construct a prediction model for lymph node metastasis. METHODS: From January 2014 to October 2019, the patients with resected IAC appearing as mGGNs in computed tomography (CT) scan were reviewed. All the lesions were divided into two groups (with lymph node metastasis or not) according to their lymph node status. Lasso regression model analysis by applying R software was used to evaluate the relationship between clinical and radiological parameters and lymph node metastasis of mGGNs. RESULTS: A total of 883 mGGNs patients were enroled in this study, among which, 12 (1.36%) showed lymph node metastasis. Lasso regression model analysis of clinical imaging information in mGGNs with lymph node metastasis showed that previous history of malignancy, mean density, mean density of solid components, burr sign and percentage of solid components were informative. Prediction model for lymph node metastasis in mGGNs was developed based on the results of Lasso regression model with area under curve=0.899. CONCLUSIONS Clinical information combined with CT imaging information can predict lymph node metastasis in mGGNs.
Humans ; Lymphatic Metastasis ; Lung Neoplasms ; Adenocarcinoma ; Lymph Nodes ; Social Group

Nonalcoholic fatty liver disease (NAFLD) is a disease caused by multiple factors and can progress to liver cirrhosis and hepatocellular carcinoma. At present, the pathogenesis of NAFLD remains unclear and there are still no effective therapeutic drugs in clinical practice; therefore, it is particularly important to search for new therapeutic drugs that have few side effects and can effectively delay or reverse disease progression. Some studies have shown that related hormones produced by gastric tissue have a variety of effects in the regulation of energy homeostasis and obesity, and the expression level of inflammation-related genes in gastric fundus is consistent with the severity of liver disease; thus we have reason to believe that the stomach is one of the important participants in NAFLD. This article summarizes the role of ghrelin and obestatin produced by the stomach in the progression of NAFLD, which provides a new idea for the pathogenesis of NAFLD and a new direction for treatment.