Objective Hippocampal atrophy is a clinically important marker for the diagnosis of many psychiatric disorders such as Alzheimer’s disease‚ so accurate segmentation of the hippocampus is an important scientific issue. With the development of deep learning‚ a large number of advanced automatic segmentation method have been proposed. However‚ 3D hippocampal segmentation is still challenging due to the effects of various noises in MRI and unclear boundaries between various classes of the hippocampus. Therefore‚ the aim of this paper is to propose new method to segment the hippocampal head‚ body‚ and tail more accurately. Methods To overcome these challenges‚ this paper proposed two strategies. One was the spatial and frequency domain features adaptive fusion strategy‚ which reduced the influence of noise on feature extraction by automatically selecting the appropriate frequency combination through fast Fourier transform and convolution. The other was an inter-class boundary region enhancement strategy‚ which allowed the network to focus on learning the boundary regions by weighting the loss function of the boundary regions between each class to achieve the goal of pinpointing the boundaries and regulating the size of the hippocampal head‚ body and tail. Results Experiments performed on a 50-case teenager brain MRI dataset show that our method achieves state-of-the-art hippocampal segmentation. Hippocampal head‚ body and tail had been improved compared to the existing method. Ablation experiments demonstrated the effectiveness of our two proposed strategies‚ and we also validated that the network had a strong generalization ability on a 260-case Task04_Hippocampus dataset. It was shown that the method proposed in this paper could be used in more hippocampal segmentation scenarios. Conclusion The method proposed in this paper can help clinicians to observe hippocampal atrophy more clearly and accomplish more accurate diagnosis and follow-up of the condition.

Objective:This study aimed to clarify the clinical characteristics of children infected with rhinovirus in the context of the Corona Virus Disease 2019 (COVID-19) pandemic and to explore the impact of recent COVID-19 infection history on their clinical features.Methods:Clinical data and laboratory test result of 286 children diagnosed with rhinovirus infection at Hangzhou Children′s Hospital from July 2022 to October 2023 were collected. A retrospective survey was conducted to determine whether all study participants had a history of COVID-19 infection within the 6 months prior to hospitalization.Results:Among the 286 children with rhinovirus infection, 180 (62.94%) had simple rhinovirus infection, while 106 (37.06%) had co-infections with other pathogens; Among the 180 rhinovirus simplex-positive children, 56.67% had wheezing symptoms; among them, 15 cases (15/180, 8.33%) were diagnosed with acute asthma attacks; 7 cases (7/180, 3.88%) were diagnosed with severe pneumonia. Based on whether the children had a history of COVID-19 infection in the 6 months prior to hospitalization, they were divided into a group with previous COVID-19 infection and a group without previous COVID-19 infection. There were no significant differences between the two groups in terms of gender, age of onset, peak fever, incidence of wheezing, incidence of pneumonia, proportion of severe pneumonia, proportion of severe asthma attacks, duration of fever, time to relief of wheezing, length of stay, white blood cell count, eosinophil count, C-reactive protein, procalcitonin, immunoglobulin E, oxygen therapy requirements, and use of intravenous steroids ( P>0.05). Conclusions:A history of COVID-19 infection in the past 6 months does not exacerbate the clinical symptoms of children with rhinovirus infection, nor does it increase the incidence of wheezing.

Objective To investigate the values of CT radiomics combined with machine learning algorithms for discriminating tumor deposits(TDs),lymph node metastasis(LNM)and their simultaneous occurrence in colorectal cancer(CRC).Methods Totally 261 CRC patients treated at some hospital from January 2017 to December 2023 had their clinical data analyzed retrospectively,who were classified into a TDs-positive group(TDs+group,64 cases),a LNM-positive group(LNM+group,99 cases)and a TDs-positive combined with LNM-positive group(TDs+combined with LNM+group,98 cases)according to A JCC 8th Edition:Colorectal Cancer.MaZda version 4.6 software was used to outline the region of interest,and then the texture feature parameters with the most discriminative value were selected by the screening method coming with this software.Texture feature parameters with statistically significant differences in one-way analysis(P＜0.05)were included to draw ROC curves,and the diagnostic efficacy of the included parameters was evaluated.The diagnostic efficacy of four machine learning algorithms such as Bayesian,decision tree,random forest and Logistic regression for the TDs+group,the LNM+group and the TDs+combined with LNM+group was assessed based on the included parameters and ten-fold cross-validation.Statistical analysis was performed using SPSS 26.0,MedCalc 19.1.3,Weka 3.8.6 and R language software.Results Texture feature parameters with statistically significant(P＜0.05)one-way ANOVA differences among the 3 groups included skewness,S(2,-2)and mean value,S(0,4)correlation,S(3,3)difference variance and S(0,4)inverse moments.The S(3,3)difference variance had the highest diagnostic efficacy in the TDs+group and the LNM+group,and the skewness did in the TDs+combined with LNM+group.Random forest algorithm behaved the best in diagnostic efficacy when compared with Bayesian,decision tree and Logistic regression algorithms,which had the accuracy rates being 0.897,0.830 and 0.861 and the AUCs being 0.951,0.957 and 0.958 respectively in the TDs+group,the LNM+group and the TDs+combined with LNM+group.Conclusion CT radiomics combined with random forest algorithm is of high value for discriminating TDs,LNM and their simultaneous occurrence in CRC patients,and thus can provide comprehensive diagnosis information for clinicians and help to formulate accurate treatment strategies for patients.[Chinese Medical Equipment Journal,2024,45(11):60-66]

Objective:To investigate the positive rate and isolate Bordetella pertussis in children with suspected whooping cough and their close family members in Zhejiang Province, and further explore the susceptibility and resistant mechanism of Bordetella pertussis to antibiotics. Methods:A total of 273 nasopharynx swabs specimens from children with suspected whooping cough in Hangzhou Children′s Hospital from May 2022 to October 2022 were collected. The strains were isolated and cultured using charcoal select agar plate. Pertussis target genes were detected by RT-PCR. E-test method was used to detect the sensitivity of Bordetella pertussis strains to different antibiotics. The mechanism of resistance of Bordetella pertussis to macrolides was analyzed by whole genome sequencing. The phylogenetic analysis of isolated strains was based on core genome multilocus sequence typing(cgMLST). Results:Among 273 clinical samples of children with suspected pertussis and their close family members, 168 samples were positive by fluorescence quantitative PCR, accounting for 61.54%, and 30 pertussis strains were successfully isolated with a positive rate of 10.98%. In addition, among the 143 samples of close family members, 54.55% (78/143) samples were positive by RT-PCR and 9.79% (14/143) samples were positive by culture, suggesting that the close family member are important in family transmission of pertussis. Besides, most of the positive samples were from mothers. The results of E-test showed that 96.67%(29/30) strains showed high resistance to azithromycin with MIC value>256 mg/L, and the resistant mechanism of azithromycin was A2047G mutation in 23S rRNA. The phylogenetic analysis based on the cgMSLT showed that the isolated strains were clustered into two new different clades.Conclusions:The positive rate of Bordetella pertussis in close family members is at a high level and the mother may be the main source of infection, which is of great significance for monitoring and laboratory detection of suspected children′s family members. Bordetella pertussis shows high resistance to macrolides in Zhejiang Province, so monitoring of the antimicrobial resistance should be further strengthened to provide theoretical basis for clinical treatment and drug guidance.

The aim of this study is to investigate the effects of Gynostemma pentaphyllum dried with two different methods(air drying and heating) on inflammation in acute lung injury(ALI) mice in vivo and in vitro. Lipopolysaccharide(LPS) was sprayed into the airway of wild type C57BL/6J male mice to establish the model, and the drug was injected into the tail vein 24 h after modeling. Lung function, lung tissue wet/dry weight(W/D) ratio, the total protein concentration, interleukin 6(IL-6), IL-1β, and tumor necrosis factor-α(TNF-α) in the bronchoalveolar lavage fluid(BALF), and pathological changes of the lung tissue were used to evaluate the effects of different gypenosides on ALI mice. The results showed that total gypenosides(YGGPs) and the gypenosides substituted with one or two glycosyl(GPs_(1-2)) in the air-dried sample improved the lung function, significantly lowered the levels of IL-1β and TNF-α in BALF, and alleviated the lung inflammation of ALI mice. Moreover, GPs_(1-2) had a more significant effect on inhibiting NO release in RAW264.7 cells. This study showed that different drying methods affected the anti-inflammatory activity of G. pentaphyllum, and the rare saponins in the air-dried sample without heating had better anti-inflammatory activity.
Male ; Mice ; Animals ; Tumor Necrosis Factor-alpha/metabolism* ; Gynostemma ; Mice, Inbred C57BL ; Lung ; Anti-Inflammatory Agents/metabolism* ; Interleukin-6/metabolism* ; Interleukin-1beta/metabolism* ; Lipopolysaccharides/pharmacology*

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.

Objective: To investigate the surgical indications and perioperative clinical outcomes of pelvic exenteration (PE) for locally advanced, recurrent pelvic malignancies and complex pelvic fistulas. Methods: This was a descriptive study.The indications for performing PE were: (1) locally advanced, recurrent pelvic malignancy or complex pelvic fistula diagnosed preoperatively by imaging and pathological examination of a biopsy; (2)preoperative agreement by a multi-disciplinary team that non-surgical and conventional surgical treatment had failed and PE was required; and (3) findings on intraoperative exploration confirming this conclusion.Contraindications to this surgical procedure comprised cardiac and respiratory dysfunction, poor nutritional status,and mental state too poor to tolerate the procedure.Clinical data of 141 patients who met the above criteria, had undergone PE in the Sixth Affiliated Hospital of Sun Yat-sen University from January 2018 to September 2022, had complete perioperative clinical data, and had given written informed consent to the procedure were collected,and the operation,relevant perioperative variables, postoperative pathological findings (curative resection), and early postoperative complications were analyzed. Results: Of the 141 included patients, 43 (30.5%) had primary malignancies, 61 (43.3%) recurrent malignancies, 28 (19.9%) complex fistulas after radical resection of malignancies,and nine (6.4%)complex fistulas caused by benign disease. There were 79 cases (56.0%) of gastrointestinal tumors, 30 cases (21.3%) of reproductive tumors, 16 cases (11.3%) of urinary tumors, and 7 cases (5.0%) of other tumors such mesenchymal tissue tumors. Among the 104 patients with primary and recurrent malignancies, 15 patients with severe complications of pelvic perineum of advanced tumors were planned to undergo palliative PE surgery for symptom relief after preoperative assessment of multidisciplinary team; the other 89 patients were evaluated for radical PE surgery. All surgeries were successfully completed. Total PE was performed on 73 patients (51.8%),anterior PE on 22 (15.6%),and posterior PE in 46 (32.6%). The median operative time was 576 (453,679) minutes, median intraoperative blood loss 500 (200, 1 200) ml, and median hospital stay 17 (13.0,30.5)days.There were no intraoperative deaths. Of the 89 patients evaluated for radical PE surgery, the radical R0 resection was achieved in 64 (71.9%) of them, R1 resection in 23 (25.8%), and R2 resection in two (2.2%). One or more postoperative complications occurred in 85 cases (60.3%), 32 (22.7%)of which were Clavien-Dindo grade III and above.One patient (0.7%)died during the perioperative period. Conclusion: PE is a valid option for treating locally advanced or recurrent pelvic malignancies and complex pelvic fistulas.
Humans ; Pelvic Exenteration/methods* ; Pelvic Neoplasms/surgery* ; Retrospective Studies ; Neoplasm Recurrence, Local/surgery* ; Postoperative Complications

OBJECTIVE: To derive the Chinese medicine (CM) syndrome classification and subgroup syndrome characteristics of ischemic stroke patients. METHODS: By extracting the CM clinical electronic medical records (EMRs) of 7,170 hospitalized patients with ischemic stroke from 2016 to 2018 at Weifang Hospital of Traditional Chinese Medicine, Shandong Province, China, a patient similarity network (PSN) was constructed based on the symptomatic phenotype of the patients. Thereafter the efficient community detection method BGLL was used to identify subgroups of patients. Finally, subgroups with a large number of cases were selected to analyze the specific manifestations of clinical symptoms and CM syndromes in each subgroup. RESULTS: Seven main subgroups of patients with specific symptom characteristics were identified, including M3, M2, M1, M5, M0, M29 and M4. M3 and M0 subgroups had prominent posterior circulatory symptoms, while M3 was associated with autonomic disorders, and M4 manifested as anxiety; M2 and M4 had motor and motor coordination disorders; M1 had sensory disorders; M5 had more obvious lung infections; M29 had a disorder of consciousness. The specificity of CM syndromes of each subgroup was as follows. M3, M2, M1, M0, M29 and M4 all had the same syndrome as wind phlegm pattern; M3 and M0 both showed hyperactivity of Gan (Liver) yang pattern; M2 and M29 had similar syndromes, which corresponded to intertwined phlegm and blood stasis pattern and phlegm-stasis obstructing meridians pattern, respectively. The manifestations of CM syndromes often appeared in a combination of 2 or more syndrome elements. The most common combination of these 7 subgroups was wind-phlegm. The 7 subgroups of CM syndrome elements were specifically manifested as pathogenic wind, pathogenic phlegm, and deficiency pathogens. CONCLUSIONS There were 7 main symptom similarity-based subgroups in ischemic stroke patients, and their specific characteristics were obvious. The main syndromes were wind phlegm pattern and hyperactivity of Gan yang pattern.
Humans ; Syndrome ; Ischemic Stroke ; Medicine, Chinese Traditional ; Liver ; Phenotype

Objective: To assess the feasibility of nuclear score combined with cyclin D1 immunocytochemistry in classifying indeterminate thyroid nodules with fine-needle aspiration (FNA) cytological diagnosis of Bethesda category Ⅲ-Ⅴ. Methods: A consecutive cohort of 118 thyroid FNA specimens with indeterminate diagnosis (TBSRTC category Ⅲ-Ⅴ) and available histopathologic follow-up data were collected between December 2018 and April 2022 at the Department of Pathology, Beijing Hospital, China. These cases were subjected to cytological evaluation and cyclin D1 immunocytochemistry. The optimal cut-off points of a simplified nuclear score and the percentage of cyclin D1-positive cells for the diagnosis of malignancy or low-risk neoplasm were determined using the receiver operating characteristic (ROC) curves and area under the ROC curve (AUC). The specificity, sensitivity, positive predictive value (PPV) and negative predictive value (NPV) of nuclear score and cyclin D1 immunostaining were evaluated from the crosstabs based on cut-off points. The diagnostic accuracy of simplified nuclear score combined with cyclin D1 immunostaining was estimated using ROC curve analysis. Results: Nuclear grooves, intra-nuclear inclusions and chromatin clearing were more commonly found in malignancy/low-risk neoplasms than benign lesions (P=0.001, P=0.012 and P=0.001 respectively). A cut-off point of≥2 for the simplified nuclear score was sensitive for defining malignancy/low-risk neoplasm, and its PPV, NPV, sensitivity and specificity were 93.6%, 87.5%, 99.0% and 50.0% respectively. A positive cut-off point of 10% positive thyroid cells in cyclin D1 immunostaining demonstrated sensitivity of 88.5%, specificity of 100%, PPV of 100% and NPV of 53.8% for correctly detecting thyroid malignancy or low-risk neoplasm. The sensitivity and PPV of simplified nuclear score combined with cyclin D1 immunostaining were 93.3% and 100%, respectively. Both specificity and NPV were maintained at high levels (100% and 66.7%, respectively). The diagnostic accuracy of simplified nuclear score combined with cyclin D1 immunostaining in detecting thyroid malignancy/low-risk neoplasm was increased to 94.1% compared to using either of them alone. Conclusions: Combing simplified nuclear score and cyclin D1 immunostaining on FNA cytology specimens can increase the diagnostic accuracy in classifying thyroid nodules of indeterminate cytological categories. Thus, this supplementary approach provides a simple, accurate, and convenient diagnostic method for cytopathologists so that may reduce unnecessary thyroidectomies.
Humans ; Thyroid Nodule/pathology* ; Biopsy, Fine-Needle ; Cyclin D1 ; Immunohistochemistry ; Thyroid Neoplasms/pathology* ; Retrospective Studies