Objective:To retrospectively analyze the clinical characteristics and prognosis of 85 newly diagnosed patients with follicular lymphoma (FL), as well as the prognostic value of comprehensive geriatric assessment (CGA) in patients with FL aged ≥ 60 years old.Methods:The clinical data and prognosis of 85 newly diagnosed FL patients admitted from August 2011 to June 2022 were collected. The clinical features, laboratory indicators, therapeutic efficacy, survival and prognostic factors of patients were statistically analyzed, and the prognosis of patients was stratified using various geriatric assessment tools.Results:① The patients with FL were mostly middle-aged and older, with a median age of 59 (20-87) years, including 41 patients (48.2%) aged ≥60 years. The ratio of male to female was 1∶1.36. Overall, 77.6% of the patients were diagnosed with Ann Arbor stage Ⅲ-Ⅳ, and 17 cases (20.0%) were accompanied by B symptoms. Bone marrow involvement was the most common (34.1%). ②Overall, 71 patients received immunochemotherapy. The overall response rate was 86.6%, and the complete recovery rate was 47.1% of 68 evaluated patients. Disease progression or relapse in the first 2 years was observed in 23.9% of the patient. Overall, 14.1% of the patients died during follow-up. ③Of the 56 patients receiving R-CHOP-like therapies, the 3-year and 5-year progression-free survival (PFS) rates were 85.2% and 72.8%, respectively, and the 3-year and 5-year overall survival (OS) rates were 95.9% and 88.8%, respectively. The univariate analysis showed that age ≥60 years old ( HR=3.430, 95% CI 1.256-9.371, P=0.016), B symptoms ( HR=5.030, 95% CI 1.903-13.294, P=0.016), Prognostic Nutritional Index (PNI) <45.25 ( HR=3.478, 95% CI 1.299-9.310, P=0.013), Follicular Lymphoma International Prognostic Index (FLIPI) high-risk ( HR=2.918, 95% CI 1.074-7.928, P=0.036), and PRIMA-prognostic index (PRIMA-PI) high-risk ( HR=2.745, 95% CI 1.057-7.129, P=0.038) significantly predicted PFS. Moreover, age ≥60 years old and B symptoms were independent risk factors for PFS. Progression of disease within 24 months (POD24) significantly predicted OS in the univariate analysis. Conclusions:FL is more common among middle-aged and older women. Age, B symptoms, PNI score, FLIPI high-risk, PRIMA-PI high-risk, and POD24 influenced PFS and OS. The CGA can be used for treatment selection and risk prognostication in older patients with FL.

Polatuzumab vedotin (Pola) is a novel antibody-drug conjugate targeting CD79b, which has been shown to be effective in treating newly diagnosed and relapsed/refractory diffuse large B cell lymphoma (DLBCL) during clinical trials. This study aims to conduct a retrospective analysis of the clinical characteristics, diagnosis, and treatment of a patient with refractory secondary central nervous system lymphoma at Beijing Hospital, alongside a review of relevant literature. This study included a 79-year-old female patient who was diagnosed with DLBCL affecting the ilium, sacrum, spinal cord, and nerve roots and had an IPI score of 5 and a high-risk score according to MSKCC. She showed a geriatric comprehensive assessment (IACA) score of 2, which was categorized under the unfit group. Her initial treatment comprised chemo-free therapy and radiotherapy, followed by progression. In the second-line treatment, a Pola-based regimen was applied, and the patient achieved a complete response, suggesting that this regimen may be a therapeutic option for patients with DLBCL involving the central nervous system.

OBJECTIVE To analyze the relationship between LPR and common pharyngeal diseases and its risk factors.METHODS A total of 280 patients who were admitted to the Inpatient Department of Otolaryngology Head and Neck Surgery or Laryngoscopy Room of the First Affiliated Hospital of Harbin Medical University due to throat discomfort from September 2022 to May 2023 were selected as the study objects.All enrolled patients were required to complete the RSI and RFS scoring scales.According to the 2022 LPRD expert Consensus,RSI>13 and/or RFS>7 were classified as LPR group,and RSI≤13 and RFS≤7 are classified as non-LPR group.Chi-square test was used to analyze the differences in the incidence of common pharyngeal diseases such as upper respiratory tract papilloma,epiglottic cyst,vocal cord polyp,vocal cord leucoplakia,vocal cord cancer and hypopharyngeal cancer among different groups.Univariate Chi-square test analysis and multivariate binary logistic regression analysis were performed for gender,age,BMI,smoking and drinking history.All differences were statistically significant with P<0.05.RESULTS The prevalence of LPR in 280 patients with throat discomfort was 70.0%(196/280).There were statistically significant differences in the incidence of LPR group and non-LPR group in patients with vocal cord polyp(χ2=4.228,P<0.05),vocal cord leukoplakia(χ2=12.283,P<0.05),vocal cord cancer(χ2=4.103,P<0.05)and hypopharyngeal cancer(χ2=4.907,P<0.05),while there was no significant difference in the incidence of LPR group and non-LPR group in patients with papilloma of upper respiratory tract(χ2=0.183,P>0.05)and epiglottic cyst(χ2=0.556,P>0.05).Univariate analysis showed that there were significant differences in the incidence rates of smoking(χ2=20.403,P<0.05)and drinking(χ2=7.704,P<0.05)between the LPR group and the non-LPR group,while gender(χ2=0.01,P>0.05),age(χ2=8.147,P>0.05),BMI(χ2=2.060,P>0.05)had no significant difference.Multivariate logistic regression analysis showed that smoking(OR=3.390,95%CI:1.761-6.526,P<0.05)was an independent risk factor for LPR.CONCLUSION There is a high co-prevalence of LPR with vocal cord polyps,vocal cord leukoplakia,vocal cord cancer and hypopharyngeal cancer.Therefore,LPR should be evaluated when treating throat related diseases,and LPR should be actively treated if necessary.In addition,smoking and drinking are risk factors for LPR,so it is necessary to stop smoking and drinking alcohol when treating LPR.

Psychiatric comorbidity is common in symptom-based diagnoses like autism spectrum disorder (ASD), attention/deficit hyper-activity disorder (ADHD), and obsessive-compulsive disorder (OCD). However, these co-occurring symptoms mediated by shared and/or distinct neural mechanisms are difficult to profile at the individual level. Capitalizing on unsupervised machine learning with a hierarchical Bayesian framework, we derived latent disease factors from resting-state functional connectivity data in a hybrid cohort of ASD and ADHD and delineated individual associations with dimensional symptoms based on canonical correlation analysis. Models based on the same factors generalized to previously unseen individuals in a subclinical cohort and one local OCD database with a subset of patients undergoing neurosurgical intervention. Four factors, identified as variably co-expressed in each patient, were significantly correlated with distinct symptom domains (r = -0.26-0.53, P < 0.05): behavioral regulation (Factor-1), communication (Factor-2), anxiety (Factor-3), adaptive behaviors (Factor-4). Moreover, we demonstrated Factor-1 expressed in patients with OCD and Factor-3 expressed in participants with anxiety, at the degree to which factor expression was significantly predictive of individual symptom scores (r = 0.18-0.5, P < 0.01). Importantly, peri-intervention changes in Factor-1 of OCD were associated with variable treatment outcomes (r = 0.39, P < 0.05). Our results indicate that these data-derived latent disease factors quantify individual factor expression to inform dimensional symptom and treatment outcomes across cohorts, which may promote quantitative psychiatric diagnosis and personalized intervention.
Humans ; Male ; Female ; Attention Deficit Disorder with Hyperactivity ; Obsessive-Compulsive Disorder ; Adult ; Autism Spectrum Disorder ; Bayes Theorem ; Adolescent ; Young Adult ; Magnetic Resonance Imaging ; Middle Aged ; Child ; Brain/metabolism* ; Cohort Studies ; Comorbidity

Machine learning approaches are increasingly being applied to neuroimaging data from patients with psychiatric disorders to extract brain-based features for diagnosis and prognosis. The goal of this review is to discuss recent practices for evaluating machine learning applications to obsessive-compulsive and related disorders and to advance a novel strategy of building machine learning models based on a set of core brain regions for better performance, interpretability, and generalizability. Specifically, we argue that a core set of co-altered brain regions (namely 'core regions') comprising areas central to the underlying psychopathology enables the efficient construction of a predictive model to identify distinct symptom dimensions/clusters in individual patients. Hypothesis-driven and data-driven approaches are further introduced showing how core regions are identified from the entire brain. We demonstrate a broadly applicable roadmap for leveraging this core set-based strategy to accelerate the pursuit of neuroimaging-based markers for diagnosis and prognosis in a variety of psychiatric disorders.
Humans ; Obsessive-Compulsive Disorder/epidemiology* ; Brain/pathology* ; Neuroimaging/methods* ; Machine Learning ; Comorbidity ; Magnetic Resonance Imaging/methods*

Background Individual monitoring of occupational external exposure is an essential part of the occupational health management of radiation workers, and is an important basis for the evaluation of individual absorbed dose and the diagnosis of occupational radiation diseases. Continuous participation of monitoring service providers in intercomparison is a fundamental quality assurance for routine monitoring, which can identify problems and improve them in time. Objective Taking the Laboratory of Radiation Protection in Shanghai Institute of Preventive Medicine as an example, to evaluate the performance of an individual occupational external dose monitoring system in the laboratory, identify influencing factors of the monitoring results, and provide a basis for improving the quality of daily monitoring by analyzing the process and results of a national intercomparison of individual dose monitoring. Methods According to the Testing criteria of personnel dosimetry performance for external exposure (GBZ 207-2016), and the relevant requirements of Class II (photon) inspection, a total of 20 groups of blind sample dosimeters were measured for four consecutive years from 2018 to 2021. The radiation energy source of each group was identified, and related personal dose equivalent H_p(10), the uncertainty of measurement results, and the deviation between the reported value and the reference value were calculated. The national intercomparison process and results of individual dose monitoring were also analyzed. Results The energy sources of the blind samples in the tested laboratory for four years were N100 or Cs-137. The reported dose values of the blind samples were 0.57-4.61 mSv, the combined uncertainties were 0.043-0.365 mSv, the expanded uncertainties (k=2) were 0.09-0.73 mSv, and the relative expanded uncertainties (k=2) were 13.8%-16.4%. The single-group performance ∣P_i∣ of 20 sets of blind samples in the four years was ≤0.10, the yearly comprehensive performance of 5 sets of blind samples was ≤0.10, and the yearly Q score of the test report was >15 points. The laboratory achieved excellent results in the national intercomparison of individual dose monitoring in four consecutive years, except the Q value not reaching full score. Conclusion The laboratory exhibits standardized data processing of individual dose monitoring, generates accurate and reliable results, and meets the requirements of relevant national standards; but it should continue to participate in the national intercomparison of individual dose monitoring, strengthen the angular response research of energy identified dosimeter, improve the monitoring ability of low-dose X-rays, analyze the key points of reducing the uncertainty of measurement results, and continuously improve the monitoring ability.

Objective:To study the application value of narrow-band imaging in the diagnosis of laryngopharyngeal reflux. Methods:A total of 275 patients admitted to the inpatient department or laryngoscopy room of the Otolaryngology Head and Neck Surgery Department of the First Affiliated Hospital of Harbin Medical University from September 2022 to April 2023 due to throat discomfort were selected as the research subjects. All of them completed RSI, RFS scoring scales and electronic laryngoscopy（including ordinary white light and NBI）. According to the expert consensus of LPRD in 2022, RSI and RFS scoring scale were used as diagnostic criteria to divide them into LPR group and non-LPR group. Chi-square test was used to analyze the differences of positive rates of characteristic manifestations under NBI among different groups. The consistency of NBI and scale diagnostic methods was analyzed by Kappa, and RSI and RFS scoring were used as diagnostic criteria, The diagnostic efficiency of NBI method was analyzed. Results:There were 190 people in the LPR group, 157 of whom showed characteristic performance under the NBI mode, with a positive rate of 82.6%（157/190）; there were 85 people in the non-LPR group, with a positive rate of 18.8%（16/85）. There was a statistically significant difference in the positive rate between the two groups（χ²=102.47, P<0.05）. The consistency rate between RSI, RFS and NBI was 82.2%（226/275）. Kappa consistency analysis was used, and Kappa=0.605（P<0.05）, indicating good consistency between the two diagnostic methods. Using RSI and RFS as diagnostic criteria for LPR, the sensitivity of NBI diagnostic method was 82.6%（157/190）, specificity 81.2%（69/85）, positive predictive value 90.8%（157/173） and negative predictive value 67.6%（69/102）. Conclusion:Narrow-band imaging, as a new endoscopic imaging technique, can show small changes in mucosal surface micro vessels and play an important role in the diagnosis of laryngopharyngeal reflux.
Humans ; Laryngopharyngeal Reflux/diagnostic imaging* ; Narrow Band Imaging ; Laryngoscopy/methods* ; Pharynx ; Predictive Value of Tests

Objective:To construct back propagation (BP) neural network model to predict the dose required for 131I therapy for hyperthyroidism and to calculate the personalized dose plan for patients. Methods:A complete set of data of patients treated for hyperthyroidism radioaiodine was collected from the nuclear medicine departments of several medical colleges in Shanghai, including history, examination result, treatment course, etc. As a result, a prediction model was established. The predicated result for BP neural network, radial basis function (RBF) neural network and Support Vector Machine (SVM) were compared by means of small sample data. The optimal model was selected to predict administrated dose and to finally test the accuracy of the model.Results:The average errors in BP neural network, RBF neural network and SVM model based on small samples were 5.53%, 7.09% and 9.64%, respectively. After comparison, BP neural network was selected to build the prediction model. 30 cases of data were selected by random sampling to verify the BP neural network. The mean error, mean square error, minimum error and maximum error of the prediction result were 7.22%, 0.053, 0.57% and 13.78%, respectively.Conclusions:In this study, a neural network prediction method was proposed to provide a more accurate dose for patients in need of radioiodine therap for hyperthyroidism, and to reduce the possibility of radiation damage or the unsatisfactory therapeutic effect caused by insufficient dose. It has clinical practical significance in providing the reference for clinicians to evaluate the administrated dose.

OBJECTIVE To establish a method for simultaneous determi nation of six components in Melastoma dodecandrum and investigate its correlation with antioxidant activity. METHODS Ultra high-performance liquid chromatography （UPLC）method was adopted. The contents of gallic acid ，protocatechuic acid ，isovitexin，rutin and ellagic acid in 23 batches of M. dodecandrum were determined by quantitative analysis of multi-components by single-marker （QAMS）method，using vitexin as the internal reference. Then 1，1-diphenyl-2-picrylhydrazyl（DPPH）free radical method ，2，2′-azino-bis（3-ethylbenzothiazoline-6-sulfonic acid ） diammonium salt （ABTS）method and ferric ion reduction/antioxidant power （FRAP）method were applied to determine the antioxidant activity of 23 batches of M. dodecandrum . Grey correlation analysis and bivariate correlation analysis were used to evaluate the correlation between six components and antioxidant activity. RESULTS The content of vitexin were 0.021％-0.182％. The contents of gallic acid ，protocatechuic acid ，isovitexin，rutin and ellagic acid by QAMS method were 0.008％-0.042％， 0.003％-0.023％，0.071％-0.283％，0.013％-0.140％ and 0.006％-0.021％，respectively. Compared with the results of external standard method ，P was greater than 0.05. Grey correlation analysis showed that the grey correlation coefficients between the contents of six components an d antioxidant activity was 0.727 6- 0.866 9. Bivariate correlation analysis showed that the contents of vitexin ，isovitexin and rutin were positively correlated with antioxidant activity （P＜0.05 or P＜0.01），the content of gallic acid and protocatechuic acid were negatively correlated with antioxidant activity （P＜0.05）. There was no significant correlation between ellagic acid and antioxidant activity.CONCLUSIONS QAMS method is successfully established for the simultaneous determination of six components in M. dodecandrum. The six components in M. dodecandrum are highly correlated with antioxidant activity.

BACKGROUND:Foreign studies have found that the magnesium alloy stent is safe and effective, but there are few studies on the degradation performance of magnesium alloy stents in China.OBJECTIVE:To investigate the degradation of degradable AZ31 magnesium alloy stent in the rabbit abdominal aorta and the effect of degradation process on vascularization.METHODS:Twenty-eight rabbits were enrolled, and the degradable AZ31 magnesium alloy stent was implanted into the rabbit abdominal aorta. Postoperative abdominal aortic X-ray examination and histological observation were done at 30, 60, 90, 120 days after implantation.RESULTS AND CONCLUSION:(1) X-ray examination: 30 days after implantation, the stent expanded completely with structural integrity; 60 days after implantation, the stent deformation, partial stent fracture, and lose of support were found; 90 days after implantation, only a small amount of support rod residues were found, and the majority of the stent was degraded; and 120 days after implantation, there was no support rod residual, and the stent was degraded completely. (2) Histological observation: 60 days after implantation, the number of residual support rods was less than that 30 days after implantation (P< 0.05), the number value at 90 days after implantation was lower than that at 30 and 60 days after implantation (P< 0.05), and the number value at 120 days after implantation was lower than that at 30, 60, 90 days after implantation (P < 0.05), indicating that the number of residual support rods was negatively correlated with post-implantation days. The time for complete stent degradation was 124.8 days. The intimal area at 90 days after implantation was higher than that at 30, 60, 120 days after implantation (P < 0.05), while the lumen area was smaler than that at 30, 60, 120 days after implantation (P < 0.05). There was no significant difference in the intimal area and lumen area at latter three time points after implantation. To conclude, the degradation of the degradable AZ31 magnesium alloy stent in the rabbit abdominal aorta can be completed within 124.8 days, and at 90 days after the stent is implanted, vascular intimal hyperplasia and lumen stenosis are most serious, and then gradualy reduced.