Tick-borne encephalitis is a central nervous system disease caused by infections with tick-borne pathogens, which is characterized by severe clinical symptoms, multiple sequelae, and a high fatality rate. Currently, there is no cure for tick-borne encephalitis. Tick-borne encephalitis virus (TBEV) is the most common pathogen of tick-borne encephalitis. Therefore, rapid and accurate detection of TBEV contributes to reducing the mortality of tick-borne encephalitis, improving patients' prognosis, and reducing the risk of TBEV transmission. The currently available serological tests for detection of TBEV infections mainly include neutralization test, enzyme-linked immunosorbent assay (ELISA), immunofluorescence assay, and nucleic acid tests mainly include polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP), reverse transcription polymerase spiral reaction, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas)-based assays. This review summarizes the progress of researches on serological and nucleic acid tests for detection of TBEV infections, so as to provide insights into prevention and control of tick-borne encephalitis.

OBJECTIVE: To precise classify sacral meningeal cysts, effective guide minimally invasive neurosurgery and postoperative personalized rehabilitation by multiple dimensions radiographic reconstruction MRI. METHODS: From March to December 2021, based on the original 3D-fast imaging employing steadystate acquisition (FIESTA) scanning sequence, 92 patients with sacral meningeal cysts were pre-operatively evaluated by multiple dimensional reconstruction MRI. The shape of nerve root and the leakage of cyst were reconstructed according to the direction of nerve root or leakage track showed on original MRI scans. Sacral canal cysts were accurately classified as including nerve root and without nerve root, so as to accurately design the incision of skin and formulate corresponding open range of the posterior wall of the sacral canal. Under the microscope intraoperation, the shape of the nerve roots inside cysts or leakage track of the cysts without nerve roots were verified and explored. After the reinforcement and shaping operation, several reexaminations of multiple dimensional reconstruction MRI were performed to understand the deformation of the nerve root and hydrops in the operation cavity, so as to formulate a persona-lized rehabilitation plan for the patients. RESULTS: Among the 92 patients with sacral mengingeal cyst, 58 (63.0%) cysts with nerve root cyst, 29 (31.5%) cysts without nerve root cyst, and 5 (5.4%) cysts with mixed sacral canal cyst. In 58 patients with nerve root cysts, the accuracy of preoperative clinical classification on MRI image reached 96.6% (56/58) through confirmation by operating microscope. Only 2 cases of large single cyst with nerve root on the head of cyst were mistaken for without nerve root type. In 29 patients with sacral cyst without nerve root, the accuracy of preoperative image reached 100% through confirmation by operating microscope. The accuracy of judging the internal nerve root and leakage of 12 cases with recurrent sacral cyst was also 100%. Two cases of delayed postoperative hydrops were found one month after operation. After rehabilitation treatment by moxibustion and bathing, the hydrops disappeared 4-6 months after operation. CONCLUSION Multiple dimensional reconstruction MRI can precisely make clinical classification of sacral meningeal cysts before operation, guide minimally invasive neurosurgery effectively, and improve the rehabilitation effect.
Humans ; Magnetic Resonance Imaging/methods* ; Male ; Female ; Sacrum/surgery* ; Adult ; Middle Aged ; Imaging, Three-Dimensional/methods* ; Cysts/rehabilitation* ; Aged ; Adolescent ; Young Adult ; Spinal Nerve Roots/diagnostic imaging* ; Minimally Invasive Surgical Procedures ; Neurosurgical Procedures/methods*

Objective    To predict the probability of lymph node metastasis after thoracoscopic surgery in patients with lung adenocarcinoma based on nomogram. Methods    We analyzed the clinical data of the patients with lung adenocarcinoma treated in the department of thoracic surgery of our hospital from June 2018 to May 2021. The patients were randomly divided into a training group and a validation group. The variables that may affect the lymph node metastasis of lung adenocarcinoma were screened out by univariate logistic regression, and then the clinical prediction model was constructed by multivariate logistic regression. The nomogram was used to show the model visually, the receiver operating characteristic (ROC) curve, calibration curve and clinical decision curve to evaluate the calibration degree and practicability of the model. Results    Finally 249 patients were collected, including 117 males aged 53.15±13.95 years and 132 females aged 47.36±13.10 years. There were 180 patients in the training group, and 69 patients in the validation group. There was a significant correlation between the 6 clinicopathological characteristics and lymph node metastasis of lung adenocarcinoma in the univariate logistic regression. The area under the ROC curve in the training group was 0.863, suggesting the ability to distinguish lymph node metastasis, which was confirmed in the validation group (area under the ROC curve was 0.847). The nomogram and clinical decision curve also performed well in the follow-up analysis, which proved its potential clinical value. Conclusion    This study provides a nomogram combined with clinicopathological characteristics, which can be used to predict the risk of lymph node metastasis in patients with lung adenocarcinoma with a diameter≤3 cm.

Objective To explore the CT imaging features and independent risk factors for cystic pulmonary nodules and establish a malignant probability prediction model. Methods The patients with cystic pulmonary nodules admitted to the Department of Thoracic Surgery of the First People's Hospital of Neijiang from January 2017 to February 2022 were retrospectively enrolled. They were divided into a malignant group and a benign group according to the pathological results. The clinical data and preoperative chest CT imaging features of the two groups were collected, and the independent risk factors for malignant cystic pulmonary nodules were screened out by logistic regression analysis, so as to establish a prediction model for benign and malignant cystic pulmonary nodules. Results A total of 107 patients were enrolled. There were 76 patients in the malignant group, including 36 males and 40 females, with an average age of 59.65±11.74 years. There were 31 patients in the benign group, including 16 males and 15 females, with an average age of 58.96±13.91 years. Multivariate logistic analysis showed that the special CT imaging features such as cystic wall nodules [OR=3.538, 95%CI (1.231, 10.164), P=0.019], short burrs [OR=4.106, 95%CI (1.454, 11.598), P=0.008], cystic wall morphology [OR=6.978, 95%CI (2.374, 20.505), P<0.001], and the number of cysts [OR=4.179, 95%CI (1.438, 12.146), P=0.009] were independent risk factors for cystic lung cancer. A prediction model was established: P=ex/(1+ex), X=–2.453+1.264×cystic wall nodules+1.412×short burrs+1.943×cystic wall morphology+1.430×the number of cysts. The area under the receiver operating charateristic curve was 0.830, the sensitivity was 82.9%, and the specificity was 74.2%. Conclusion Cystic wall nodules, short burrs, cystic wall morphology, and the number of cysts are the independent risk factors for cystic lung cancer, and the established prediction model can be used as a screening method for cystic pulmonary nodules.

Objective To explore the feasibility of the multiplexed sensitivity encoding diffusion weighted imaging(MUSE-DWI)sequence in neck MRI,and to compare with traditional single-shot echo-planar imaging diffusion weighted imaging(SS-EPI-DWI)sequence.Methods Thirty healthy volunteers underwent MUSE-DWI and SS-EPI-DWI sequences scanning in neck.Two groups of images were independently scored by two radiologists for magnetic sensitivity artifact,chemical shift artifact,geometric distortion and overall image quality.The noise,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the regions of interest(ROI)of the two groups of images were measured and compared on the nasopharyngeal fossa layer,parotid gland layer,glottic layer and thyroid layer.Results Qualitative analysis showed that the image quality scores of MUSE-DWI sequence were significantly better than those of SS-EPI-DWI sequence in terms of magnetic sensitivity artifact,chemical shift artifact,geometric distortion and overall image quality(P<0.001).Quantitative analysis showed that the noise values of ROIs of MUSE-DWI sequence were significantly lower than those of SS-EPI-DWI sequence(P<0.001).The SNR and CNR of ROIs of MUSE-DWI sequence were higher than those of SS-EPI-DWI sequence(P<0.001).Conclusion MUSE-DWI sequence can significantly reduce geometric distortion,magnetic sensitivity artifact and chemical shift artifact,and SNR and CNR of images are significantly increased compared with SS-EPI-DWI sequence,which is more suitable for neck MRI scanning.

Objective:A dose verification system of two-dimensional semiconductor matrix(SRS MapCHECK)was used to verify the dose of the clinical treatment plan of patients who underwent CyberKnife(CK),which realized rapid verification for individualization of radiotherapy plans of patients through analyzed the γ-passing rates of them.Methods:A total of 253 patients with tumor who received CK clinical treatment in the First Medical Center of Chinese PLA General Hospital from March 2021 to May 2023 were selected.Among of them,121 cases received CK treatment on head,and 30 cases received that on lung,and 102 cases received CK treatment on abdomen and other metastatic tumor.In the MultiPlan treatment plan system,the plan of patient was mapped to the integrated model composed of StereoPHAN model and SRS MapCHECK matrix dose verification system by the means of the plan image center overlap.The dose verification was conducted on the plan of each patient on the basis of ensuring the consistency of the number of beam,direction of beam and the monitor unit.The different γ analysis standards(1%/1 mm,2%/1 mm,3%/1 mm,1%/2 mm,2%/2 mm,3%/2 mm,1%/3 mm,2%/3 mm and 3%/3 mm)were adopted to conduct global analysis of absolute dose for each verification plan,and the threshold(TH)of low dose was set as 10%.Results:The γ passing rates of phantom verification plans of 253 patients were respectively(88.64±5.91)%,(95.43±3.40)%,(97.90±2.06)%,(96.51±2.35)%,(98.15±1.68)%,(99.06±1.12)%,(98.30±1.39)%,(99.09±0.97)%and(99.52±0.63)%under different analysis standards.The γ passing rates of other standards of patients with tumor on different parts were larger than 95%except the analysis result of 1%1 mm standard.The overall analysis result of the deviation of central point dose was(-1.30±2.17)%,among of which the tumor of head,abdominal tumors and other metastatic tumor were about approximately-2%,while that of lung tumors were approximately-3%.The deviation of abdominal and other metastatic tumor was the minimum.The correlation analysis showed that the target volume and the size of the minimum collimator were respectively correlated to the dose deviation of the center.Conclusion:SRS MapCHECK dose verification system can conveniently and quickly realize the individualized verification for the plan of patients who receive CK treatment.

We retrospectively analyzed the clinical data of seven patients (four men and three women) with primary hyperoxaluria (PH) type 1 (PH1) in the Department of Nephrology of Zhongda Hospital, Southeast University from January 2018 to October 2023. The mean age at disease onset was 32.1 (range: 26-42) years. The mean age at diagnosis was 40.6 (range: 28-51) years. All patients initially had kidney stones, and three patients were found to have renal insufficiency at the time of disease onset. Among them, two patients underwent hemodialysis immediately. Symptoms at the first visit included bone pain ( n=7), joint pain or deformity ( n=5), fatigue ( n=5), hypotension ( n=3), and subcutaneous nodules ( n=2). Four patients had a family history of PH. All patients had varying degrees of anemia (60-114 g/L), significant hypoalbuminemia (16.5-32.1 g/L), and hypercoagulable state (D-dimer: 2 230-12 781 μg/L). Seven patients received maintenance hemodialysis; their mean age was 37.7 (range: 26-50) years. The mean duration from disease onset to hemodialysis was 5.6 (range: 0-20) years. Five patients repeatedly experienced dialysis access dysfunction. Three patients underwent kidney transplantation before a diagnosis was made, and all transplanted kidneys lost function due to oxalate deposition. The mean follow-up duration was 14.43 (range: 4-38) months. Unfortunately, one patient died. All seven patients underwent computed tomography of the abdomen. All patients suffered skeletal abnormalities, bilateral nephrolithiasis, and nephrocalcinosis. Six patients carried AGXT gene mutations, including four compound heterozygous mutations and two pure homozygous mutations.The mutation sites included: c.823-824dup.AG (p.S275Rfs*38)(exon 8), c.815-816ins.GA (p.S275Rfs*38)(exon 8), c.595G>A (p.G199S) (exon 5), c.32C>G (p.P11R) (exon 1), and c.638C>T (p.A213V)(exon 6). According to the American College of Medical Genetics and Genomics guidelines, two loci were identified as likely pathogenic variants, seven were identified as pathogenic variants, and one locus was identified as having uncertain significance. In addition, patients 1 and 4 underwent skin biopsy, patient 2 underwent renal transplant biopsy, and patient 3 underwent bone marrow biopsy. Interestingly, significant oxalate deposition was found in the tissues. Therefore, PH1 is a rare autosomal recessive inherited disease. This study not only enhanced the understanding of the clinical characteristics of PH1 patients but also had great significance in early diagnosis and treatment of the disease.

By analyzing the of genetic testing data of patients with renal polycystic kidney disease and their relatives, this study aims to identify unreported novel gene mutation sites associated with autosomal dominant polycystic kidney disease (ADPKD). Structural prediction software was employed to investigate protein structural changes before and after mutations, explore genotype-phenotype correlations, and enrich the ADPKD gene database. In this single-center retrospective study, patients with multiple renal cysts diagnosed from January 2019 to February 2023 at the Zhong Da Hospital Southeast University were included. Genetic and clinical data of patients and their families were collected. Unreported novel gene mutation sites associated with ADPKD were identified. The AlphaFold v2.3.1 software was used to predict protein structures. Changes in protein structure before and after mutations were compared to explore genotype-phenotype correlations and enrich the ADPKD gene database. Twelve mutated genes associated with renal cysts were detected in 52 families. Nineteen novel gene mutation sites associated with ADPKD were identified, including 17 mutations in the PKD1 gene (one splicing mutation, seven frameshift mutations, four nonsense mutations, one whole-codon insertion, and four missense mutations); one ALG9 missense mutation; and one chromosomal structural variation. Truncating mutations in the PKD1 gene were correlated with a more severe clinical phenotype, while non-truncating mutations were associated with greater clinical heterogeneity. Numerous novel gene mutation sites associated with ADPKD remain unreported. Therefore, it is essential to analyze the pathogenicity of these novel mutation sites, establish genotype-phenotype correlations, and enrich the ADPKD gene database.