Objective:To aid in the detection of thyroid cancer by using deep learning to differentiate the unique bioimpedance parameter patterns of different thyroid tissues.Methods:An electrical impedance system was designed to measure 331 ex-vivo thyroid specimens from 321 patients during surgery. The impedance data was then analyzed with one dimensional convolution neural (1D-CNN) combining with long short-term memory (LSTM) network models of deep learning. In the process of analysis, we assigned 80% of the data to training set (1072/1340) and the remaining 20% data to the test set (268/1340). The performance of final model was assessed using receiver operating characteristic (ROC) curves. In addition, sensitivity, specificity, positive predictive value, negative predictive value, Youden index were applied to compare impedance model with ultrasound results.Results:The ROC curve of the two-classification (malignant /non-malignant tissue) model showed a good performance (area-under-the-curve AUC=0.94), with an overall accuracy of 91.4%. To better fit clinical practice, we further performed a three-classification (malignant/ benign/ normal tissue) model, of which the areas under ROC curve were 0.91, 0.85, 0.92 for normal, benign, and malignant group, respectively. The results indicated that the area under micro-average ROC curve and the macro-average ROC curve were 0.91 and 0.90, respectively. Moreover, compared with ultrasound, the impedance model exhibited higher specificity.Conclusions:A deep learning model (CNN-LSTM) trained by thyroid electrical impedance spectroscopy (EIS) parameters shows an excellent performance in distinguishing among different in-vitro thyroid tissues, which is promising for applications. In future clinical utility, our study does not replace existing tests, but rather complements others, thus contributing to therapeutic decision-making and management of thyroid disease.

OBJECTIVE: To observe the effect of Shugan Tiaoshen acupuncture (acupuncture for soothing the liver and regulating the spirit) on the protein kinase C/extracellular signal-regulated kinase/cAMP response element-binding protein (PKC/ERK/CREB) signaling pathway in the bed nucleus of the stria terminalis (BNST) of rats with post-traumatic stress disorder (PTSD), and to explore the mechanism of acupuncture on alleviating anxiety and fear in PTSD. METHODS: Fifty SPF-grade male SD rats were randomly divided into a blank group (10 rats) and a PTSD model group (40 rats). The PTSD model was induced by using a combination of closed electric shock and forced exhaustive swimming. Thirty successfully modeled rats were randomly assigned to a model group, a medication group, and an acupuncture group, with 10 rats in each group. The rats in the medication group were treated with paroxetine hydrochloride solution by gavage, once daily for 12 consecutive days. The rats in the acupuncture group were treated with acupuncture at "Baihui" (GV 20) and bilateral "Neiguan" (PC 6), "Shenmen" (HT 7), "Taichong" (LR 3). "Baihui" (GV 20) was needled daily, while the other acupoints were alternately needled on the left side on odd days and the right side on even days, once daily for 12 consecutive days. Anxiety and fear behaviors changes were assessed by using the open field test and elevated plus maze test. Histological changes in the BNST were observed by using HE staining and Nissl staining. The expression of PKC, phosphorylated PKC (p-PKC), ERK1/2, phosphorylated ERK1/2 (p-ERK1/2), and p-CREB proteins in the BNST were detected by using Western blot. RESULTS: Compared with the blank group, the model group showed decreased time and total distance spent in the center of the open field and on the open arms of the elevated plus maze (P<0.05); the BNST tissues in the model group exhibited a reduced number of neurons, disorganized cell arrangement, cell shrinkage, nuclear condensation, abnormal neuronal structure, uneven Nissl staining, and reduced Nissl bodies. The model group showed increased protein expression of p-PKC and p-PKC/PKC ratio (P<0.05) and decreased protein expression of p-ERK1/2, p-CREB, and p-ERK1/2/ERK1/2 ratio (P<0.05). Compared with the model group, the medication group and the acupuncture group showed increased time and total distance spent in the center of the open field and on the open arms of the elevated plus maze (P<0.05); the BNST tissues showed increased number of neurons, more organized cell arrangement, improved neuronal structure, and increased Nissl bodies; the medication group and the acupuncture group also showed decreased p-PKC protein expression and p-PKC/PKC ratio (P<0.05) and increased p-ERK1/2, p-CREB protein expression, and p-ERK1/2/ERK1/2 ratio (P<0.05). CONCLUSION Shugan Tiaoshen acupuncture could alleviate anxiety and fear behaviors in PTSD rats, and improve neuronal damage in the BNST. The mechanism may be related to the regulation of the PKC/ERK/CREB signaling pathway in the BNST.
Animals ; Male ; Rats ; Rats, Sprague-Dawley ; Acupuncture Therapy ; Protein Kinase C/metabolism* ; Stress Disorders, Post-Traumatic/metabolism* ; Anxiety/metabolism* ; Cyclic AMP Response Element-Binding Protein/metabolism* ; Humans ; Septal Nuclei/metabolism* ; Signal Transduction ; Extracellular Signal-Regulated MAP Kinases/metabolism* ; Acupuncture Points ; Behavior, Animal

Objective:To investigate the effects of computerized cognitive remediation therapy (CCRT) combined with social skill training on the improvement of negative symptoms of schizophrenia.Methods:A total of 102 schizophrenic patients who received treatment in Shanxi Province Social Welfare Kangning Psychiatry Hospital from March 2019 to June 2021 were included in this study. They were randomly divided into an intervention group and a control group ( n = 51/group). During the intervention process, because of the reasons such as midway discharge, only 93 patients were included in the final analysis, consisting of 47 patients in the intervention group and 46 patients in the control group. All patients received social skills training. Patients in the intervention group received 8-week CCRT. The Positive and Negative Syndrome Scale and Social Skills Checklist were used to evaluate curative effect in the two groups. Results:After treatment, total score of the Positive and Negative Syndrome Scale and the score of negative symptoms in the intervention group were (46.36 ± 9.33) points and (11.15 ± 3.53) points, respectively, which were significantly lower than (51.06 ± 10.26) points and (16.42 ± 4.75) points in the control group ( t = 2.07, 5.41, both P < 0.05). The total score of Social Skills Checklist, conflict resolution ability score and relationship building ability score in the intervention group were (16.05 ± 6.85) points, (3.36 ± 1.65) points and (3.14 ± 1.83) points, respectively, which were significantly lower than (21.08 ± 8.24) points, (5.92 ± 2.35) points and (6.75 ± 2.51) points, respectively ( t = 2.87, 5.34, 7.00, all P < 0.01). Conclusion:CCRT combined with social skill training can effectively improve the negative symptoms of patients with schizophrenia.

Objective:To analyze the changing trend of intracerebral hemorrhage (ICH) incidence among residents with different characteristics during 9 years of comprehensive hypertension prevention and control (hypertension prevention and control) in Tengzhou from 2013 to 2021.Methods:From January 1, 2013 to December 31, 2021, the new ICH cases collected by the Center for Disease Control and Prevention in Tengzhou City were analyzed to calculate the incidence of ICH, and the trend of its distribution was analyzed among residents with different ages, sexes, and between urban and rural areas. The registered population information came from Tengzhou Public Security Bureau. Age and sex standardized incidence was calculated based on the 7th National Population Census in 2020. The Cochran-Armitage test was used to analyze the time and age trends of the incidence.Results:The overall ICH crude and standardized incidence in Tengzhou City decreased from 97.30/100 000 to 52.13/100 000 ( Z=-9.93, P<0.001) and 119.30/100 000 to 50.69/100 000 ( Z=-15.40, P<0.001) from 2013 to 2021, and both elevated to form a single peak in 2020, with 22.58% ( χ 2=24.02, P<0.001) and 18.09% ( χ 2=17.08, P<0.001) higher than in 2019, respectively. The trends in male and female incidence over the same period were similar to the overall trends, and the incidence was higher in males than in females in all years. The incidence of ICH increased with age in all years. The difference of increase in male incidence rate in 2020 was statistically significant in three age groups ≥45 years compared with 2019 (36.29%, 23.57% and 16.18%, respectively, χ 2=6.73, 4.65, 4.00, P<0.001). The incidence of ICH decreased by 70.07% and 36.23% ( Z=18.44, 5.22, P<0.001) in urban and rural areas respectively from 2013 to 2021, whereas increased by 34.15% ( χ 2=10.88, P<0.01) and 22.08% ( χ 2=18.63, P<0.001) in 2020 compared with 2019 separately. Conclusions:The incidence of ICH in Tengzhou from 2013 to 2021 showed a significant downward trend, with the decrease in the incidence of ICH in women exceeding that in men. The decrease in the incidence of ICH in urban areas exceeded that in rural areas, and male morbidity seemingly had a younger trend.

Purpose To explore the artificial intelligence(AI)-assisted diagnosis system of thyroid cancer based on deep transfer learning and evaluate its clinical application value.Methods The HE sections of 682 cases thyroid disease patients(including benign lesions,papillary carcinoma,follicular carci-noma,medullary carcinoma and undifferentiated carcinoma)in the Pathology Department of the Renmin Hospital of Wuhan Uni-versity were collected,scanned into digital sections,divided into training sets and internal test sets according to the ratio of 8 ∶ 2,and the training sets were labeled at the pixel level by patholo-gists.The thyroid cancer classification model was established u-sing VGG image classification algorithm model.In the process of model training,the parameters of the breast cancer region recog-nition model were taken as the initial values,and the parameters of the thyroid cancer region recognition model were optimized through the transfer learning strategy.Then the test set and 633 intraoperative frozen HE section images of thyroid disease in Jianli County People's Hospital,Jingzhou City,Hubei Province wereused as the external test set to evaluate the performance of the established AI-assisted diagnostic model.Results In the internal test set,without the use of the breast cancer region rec-ognition model transfer learning,the accuracy of the AI-assisted diagnosis model was 0.882,and the area under the Receiver op-erating characteristic(AUC)valuewas0.938;However,inthe use of the Transfer learning model,the accuracy of the AI-assis-ted diagnosis model for was 0.926,and the AUC value was 0.956.In the external test set,the accuracy of the zero learning model was 0.872,the AUC value was 0.915,and the accuracy of the Transfer learning model was 0.905,the AUC value was 0.930.Conclusion The AI-assisted diagnosis method for thy-roid cancer established in this study has good accuracy and gen-eralization.With the continuous development of pathological AI research,transfer learning can help improve the performance and generalization ability of the model,and improve the accura-cy of the diagnostic model.

Objective:The residual cancer burden (RCB) evaluation system was used to analyze the influencing factors of the efficacy of neoadjuvant therapy in breast cancer, and to explore the prognostic value of RCB evaluation in neoadjuvant therapy.Methods:Clinicopathologic data and postoperative RCB grading of 364 breast cancer patients who underwent neoadjuvant therapy in Renmin Hospital of Wuhan University from Nov. 2019 to Nov. 2022 were collected. Chi-square test was used to analyze the relationship between RCB grading and clinicopathological parameters, and Spearman’s rank correlation analysis was performed to evaluate the correlation between RCB grading and clinicopathological characteristics. Factors influencing pathologic complete response (pCR) were analyzed by Logistic regression. Kaplan-Meier survival analysis and log-rank test were used to evaluate cumulative survival.Results:Among the 364 patients who underwent neoadjuvant therapy, 129 cases of RCB grade 0 and 235 cases of RCB gradeⅠ-Ⅲ (including 46 cases of RCB gradeⅠ, 109 cases of RCB grade Ⅱ and 80 cases of RCB grade Ⅲ) were obtained after surgery. Histological classification ( χ 2=21.757, P=0.000), estrogen receptor (ER) ( χ 2=52.837, P=0.000), progesterone receptor (PR) ( χ 2=55.658, P=0.000), human epidermal growth factor receptor-2 (HER2) ( χ2=89.040, P=0.000), Ki67 expression ( χ2=12.927, P=0.005), molecular typing ( χ 2=80.793, P=0.000) and preoperative lymph node status ( χ 2=25.764, P=0.000) were all associated with postoperative RCB grading. Further correlation analysis showed that histological grade ( r=-0.229, P=0.000), HER2 expression ( r=-0.465, P=0.000) and Ki67 expression ( r=-0.179, P=0.000) were negatively correlated with RCB grading, while ER ( r=0.352, P=0.000), PR ( r=0.379, P=0.000) and lymph node metastasis ( r=0.214, P=0.000) were positively correlated with RCB grading. Logistic regression analysis showed that high histological grade, negative expression of ER, PR and AR, positive expression of HER2, high proliferation index of Ki67 and no lymph node metastasis were favorable factors for postoperative pCR, and PR, AR and HER2 were independent predictors of postoperative pCR. Kaplan-Meier survival analysis showed significant differences in postoperative cumulative survival among patients with different RCB grades ( P=0.004) . Conclusions:Postoperative RCB grading of breast cancer is closely related to many clinicopathological features before neoadjuvant therapy and survival prognosis. Clinicopathological factors closely related to RCB grading are also important influencing factors affecting the pCR of patients with neoadjuvant therapy. Therefors, RCB grading has a high prognostic value.

Acupuncture is effective in the treatment of post-traumatic stress disorder(PTSD),and can effectively improve patients'anxiety and fear.The mechanism of acupuncture intervention in PTSD has been widely concerned and made some progress.This paper combs and analyzes the relevant data on the neurobiological mechanism of acupuncture intervention on fear memory in PTSD in recent years,and finds that the mechanism of acupuncture intervention in PTSD is closely related to repairing structural damage in key brain regions of fear memory,regulating abnormal brain network connections,inhibiting stress-induced neuroinflammatory response,and regulating the expression of neuronal plasticity molecules and neural signal transduction molecules.This provides a data basis for further research and application of the biological mechanism of acupuncture intervention on PTSD.

Objective:To explore the effect of external application of Traditional Chinese Medicine on preventing peripherally inserted central catheter (PICC) associated phlebitis in tumor patients by network Meta-analysis.Methods:Randomized controlled trials on the prevention of PICC associated phlebitis in tumor patients with external application of Traditional Chinese Medicine were searched in PubMed, Web of Science, Embase, Cochrane Library, CINAHL, China National Knowledge Infrastructure, WanFang Database, and China Biomedical Medicine disc. The search period was from the establishment of the database to July 1, 2022. Stata 17.0 software was used for network Meta-analysis.Results:A total of 15 articles were included, including 1 160 patients and 13 types of Traditional Chinese Medicine. Probability ranking according to the surface under the cumulative ranking curve showed that the top four traditional Chinese medicines in terms of effectiveness in preventing PICC associated phlebitis in tumor patients were Rhizoma Corydalis Mixture, Liuhe Dan, Qingfu Ointment, and Ruhuangbing Ointment.Conclusions:The external application of Rhizoma Corydalis Mixture, Liuhe Dan, Qingfu Ointment, and Ruhuangbing Ointment can effectively prevent the occurrence of PICC associated phlebitis in tumor patients. Although Rhizoma Corydalis Mixture has the best effect in preventing phlebitis, due to the limited sample size involved in the analysis and insufficient accuracy of the combined effects, its effectiveness in preventing phlebitis can be further verified in the future.

Objective: To explore the impact of the personal rehabilitation treatment on life quality and curative offect of the schizophrenia patients. Methods: A total of 84 patients with chronic schizophrenia in Shanxi Rongjun Corelle Hospital from December 2016 January 2018 were randomly divided into intervention group and control group on the basis of random number table, the two groups received psychiatric routine therapy nursing and general entertainment therapy, and the intervention group received 8 weeks of individualized rehabilitation therapy on this basis.The Schizophrenics Quality of Life Scale(SQLS) and Positive and Negative Symptoms Scale(PANSS) were respectively used to evaluate the effect of the two groups before and after intervention. Results: After 8 weeks of systematic social skills training, the scores of negative symptoms, general psychopathology and total PANSS score in the intervention group were (14.65±3.68)points, (24.21±3.23)points, (52.83±7.12)points, respectively, which in the control group were (21.82±4.25)points, (28.08±4.56)points, (60.67±9.52)points, respectively, the differences between the two groups were statistically significant(t=5.18, 3.35, 3.92, all P<0.01), while the positive symptom score had no statistically significant difference between the two gorups (P>0.05). The PANSS scores and total score in the intervention group after intervention had statistically significant differences compared with those before intervention (t=2.17, 5.98, 3.86, 4.13, all P<0.05). After the intervention training, the psychosocial score, motivation and energy score, symptoms and adverse reactions score, and total score of SQLS in the intervention group were (32.64±7.32)points, (39.45±10.87)points, (18.16±10.48)points, (90.34±24.17)points, which in the control group were (35.32±10.64)points, (43.82±12.43)points, (21.05±11.52)points, (98.25±32.29)points, respectively, and the differences between the two groups were statistically significant (t=2.46, 3.51, 3.12, 3.96, all P<0.05). The SQLS scores and total score in the intervention group after intervention had statistically significant differences compared with those before intervention(t=3.94, 4.72, 3.87, 5.01, all P<0.01). Conclusion The personal rehabilitation treatment can greatly promote the curative offect of patients with chronic schizophrenia, improve their life qualities.

bjective? To deeply understand the psychological needs of patients with postpartum depression and to provide a reference for medical and nursing workers to improve preventive healthcare and interventive therapy for patients with postpartum depression. Methods? Totally 12 patients with postpartum depression from the Department of Obstetrics of a Class Ⅲ Grade A general hospital in Shanghai were selected using purposive sampling and interviewed face-to-face in-depth semi-structurally using phenomenological methods in qualitative studies from October 2017 to April 2018. Colaizzi data analysis principle was used to organize and analyze the data and refine the themes. Results? Totally 3 themes were refined, namely, support needs of consistent culture among family members, obtainment needs for care knowledge, and anticipation needs for medical and nursing workers in obstetrics. Conclusions? Patients with postpartum depression show extensive psychological needs. Medical and nursing workers should guide their family members to provide cultural support consistent with the puerpera according to their psychological needs, provide care knowledge from multiple perspectives, maintain beneficial folk care habits, enhance the psychological health service capability of themselves, and set up psychological counselling outpatient service for pregnant women so as to meet the psychological needs of patients with postpartum depression.