ObjectiveTo explore the efficacy and potential neural mechanisms of individualized precision rehabilitation combining multimodal neuromodulation technologies under the guidance of multidisciplinary team (MDT)-based whole process dynamic assessment in a patient with large-area cerebral infarction who responded poorly to conventional rehabilitation. MethodsA 38-year-old male patient presented with hemiplegia and complete aphasia following large-area cerebral infarction in the left fronto-temporo-parietal lobe and basal ganglia due to arterial dissection. Under the MDT framework, the patient underwent six months of inpatient rehabilitation and one month of outpatient follow-up. Multimodal assessments were performed at multiple time points using diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), three-dimensional gait analysis and 128-channel electroencephalogram (EEG) monitoring, combined with standardized scales, such as Chinese Rehabilitation Research Center Standard Aphasia Examination (CRRCAE), Loewenstein Occupational Therapy Cognitive Assessment (LOTCA), simplified Fugl-Meyer Assessment (FMA) and modified Barthel Index (MBI). The rehabilitation protocol integrated conventional therapies with multimodal interventions, including multi-target transcranial magnetic stimulation, brain-computer interface (BCI)-driven robotic hand training and task-oriented virtual reality upper limb training. ResultsAfter intervention, the patient showed significant improvements: LOTCA score increased by 16 points, CRRCAE subscale scores improved by 60% to 90%, total FMA score increased from 20 to 54, FMA-Balance reached 12, and MBI improved from 40 to 91. DTI revealed an increase in global fiber tract count, elevated fractional anisotropy in the corpus callosum and right corticospinal tract, and significantly increased amplitude of low-frequency fluctuations and regional homogeneity in specific brain regions on fMRI. Event-related desynchronization dynamically decreased during BCI training, and three-dimensional gait parameters showed overall improvement. ConclusionFor patients with large-area stroke who respond inadequately to conventional rehabilitation, an individualized precision rehabilitation system based on MDT whole-process dynamic assessment and integrating multimodal neuromodulation with conventional therapy can effectively enhance cognitive, language, motor functions and activities of daily living. Neuroimaging and electrophysiological findings suggest that the mechanism may involve promoting neural fiber remodeling and modulating regional brain activity.

Objective To observe the value of 80 kVp combined with artificial intelligence iterative reconstruction(AIIR)in lower extremity CT angiography(CTA)of diabetic foot.Methods Sixty patients with diabetic foot were prospectively enrolled and divided into experimental group and control group(each n=30).Lower extremity CTA was performed using 80 kVp combined with AIIR in experimental group,while using 120 kVp combined with hybrid iterative reconstruction(HIR)in control group.The subjective and objective evaluation results of imaging quality,as well as the radiation dose of scanning were compared between groups.Results Compared with control group,images in experimental group showed higher subjective scores(5[5,5]vs.4[4,4]),displayed more branches of lower limb arteries(both P＜0.05),while the radiation dose decreased by 59.76％ ([8.29±0.53]mSv vs.[20.60±2.42]mSv).CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of each lower extremity artery segments were higher,while the noise of each lower extremity artery segments in experimental group were lower than those in control group(all P＜0.05).Conclusion 80 kVp combined with AIIR could reduce radiation dose and improve imaging quality of lower extremity CTA of diabetic foot,hence being helpful to displaying small arteries of lower extremity,such as dorsalis pedis arteries and common plantar metatarsal arteries.

Objective:This study aimed to analyze the expression of B-cell maturation antigen (CD269) on myeloma cells in patients with newly diagnosed multiple myeloma (NDMM) and evaluate its prognostic value.Methods:The retrospective analysis was conducted on the clinical data of 154 NDMM patients admitted to the outpatient clinics and wards of Beijing Chaoyang Hospital, Capital Medical University from October 23, 2018 to December 25, 2023, including 90 males and 64 females, aged 60(55,66) years old. CD269 phenotype was analyzed using flow cytometry (FCM). Specifically, patients were divided into CD269 positive group (expression>20%, n=103) and CD269 negative group (expression≤20%, n=51) based on the flow cytometry prior to treatment. Initially, we assessed the effect of CD269 expression on progression-free survival (PFS) in patients with NDMM and compared the two groups. Through a cross-sectional analysis, we examined the basic clinical characteristics, 32 laboratory indicators, and 5 cytogenetic indicators. We identified differences between the two groups and analyzed the impact of various indicators on the PFS of patients in both the CD269 positive and negative groups. Furthermore, we employed the Cox proportional hazards regression model to evaluate the influence of CD269 expression and other disease-related indicators on patients′ PFS. Results:Among 154 NDMM patients, 103 were identified as CD269 positive (66.9%), while 51 were CD269 negative (33.1%). No statistically significant differences in clinical indicators were observed between the two groups. The PFS for CD269 positive group was significantly lower than it in the CD269 negative group [28.0(18.0,41.0) months vs 35.0 (27.0, -) months, HR=2.012, 95% CI 1.059-3.824, χ 2=4.554, P=0.033]. Cox proportional hazards regression analysis indicated that CD269 positivity and non-IgG subtypes were independent risk factors influencing PFS in NDMM patients( HR=2.395,95% CI 1.152-4.979, P=0.019; HR=0.425,95% CI 0.223-0.810, P=0.009). In the CD269 positive group, progression-free survival (PFS) was significantly shortened in patients with>65 years, non-IgG subtypes, International Staging System (ISS) stage Ⅲ, β2-microglobulin (β2-MG) levels≥5.5 mg/L, abnormal t(11;14) or ≥3 cytogenetic abnormalities. Conclusion:CD269 positivity serves as an independent risk factor influencing PFS in NDMM patients. Among the factors examined, older age, non-IgG subtype, ISS stage Ⅲ, elevated serum β2-MG, the presence of an abnormal t(11;14) translocation and≥3cytogenetic abnormalities, significantly impact the PFS of CD269 positive patients.

Objective To observe the value of 80 kVp combined with artificial intelligence iterative reconstruction(AIIR)in lower extremity CT angiography(CTA)of diabetic foot.Methods Sixty patients with diabetic foot were prospectively enrolled and divided into experimental group and control group(each n=30).Lower extremity CTA was performed using 80 kVp combined with AIIR in experimental group,while using 120 kVp combined with hybrid iterative reconstruction(HIR)in control group.The subjective and objective evaluation results of imaging quality,as well as the radiation dose of scanning were compared between groups.Results Compared with control group,images in experimental group showed higher subjective scores(5[5,5]vs.4[4,4]),displayed more branches of lower limb arteries(both P＜0.05),while the radiation dose decreased by 59.76％ ([8.29±0.53]mSv vs.[20.60±2.42]mSv).CT values,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of each lower extremity artery segments were higher,while the noise of each lower extremity artery segments in experimental group were lower than those in control group(all P＜0.05).Conclusion 80 kVp combined with AIIR could reduce radiation dose and improve imaging quality of lower extremity CTA of diabetic foot,hence being helpful to displaying small arteries of lower extremity,such as dorsalis pedis arteries and common plantar metatarsal arteries.

Objective:To investigate the current status of clinical leadership among Interventional Operating Room nurses in Shandong Province and to analyze its influencing factors.Methods:In December 2024, 220 Interventional Operating Room nurses from 46 ClassⅢ Grade A general hospitals in Shandong Province were selected for a cross-sectional survey using convenience sampling. General Information Questionnaire, Clinical Leadership Survey, Chinese version of Wong and Law Emotional Intelligence Scale (WLEIS-C) , and Jefferson Scale of Empathy-Health Professionals (JSE-HP) were used as survey instruments. Multiple linear regression was used to analyze the factors influencing clinical leadership among Interventional Operating Room nurses. Pearson correlation analysis was used to explore the relationship between emotional intelligence, empathy, and clinical leadership.Results:A total of 220 questionnaires were distributed and 204 valid questionnaires were recovered, with a valid recovery rate of 92.73% (204/220) . The clinical leadership scores of the 204 Interventional Operating Room nurses were (66.35±8.74) , and the dimensions scored, in descending order, as encouraging the heart, enabling others to act, modeling the way, inspiring a shared vision, and challenging the process. The mean scores of WLEIS-C and JSE-HP items were (5.88±0.90) and (4.61±0.63) , respectively. Multiple linear regression analysis showed that the nature of employment and whether or not they participated in leadership training were influencing factors for clinical leadership among Interventional Operating Room nurses (partial regression coefficients of -2.831 and -2.999, respectively; P<0.05) . Emotional intelligence and empathy ability among Interventional Operating Room nurses were positively correlated with clinical leadership ( P<0.05) . Conclusions:Clinical leadership of nurses in the Interventional Operating Room of ClassⅢ Grade A general hospitals in Shandong Province is at a moderate to high level. Nurses who participate in leadership training, have staffing, have greater empathy, and have higher emotional intelligence have greater clinical leadership. It is recommended that nursing administrators add leadership-related courses to the training of nurses in the Interventional Operating Room, and take steps to improve nurses' emotional intelligence and empathy ability, thereby promoting clinical leadership among Interventional Operating Room nurses.

Objective:To investigate the current status of clinical leadership among Interventional Operating Room nurses in Shandong Province and to analyze its influencing factors.Methods:In December 2024, 220 Interventional Operating Room nurses from 46 ClassⅢ Grade A general hospitals in Shandong Province were selected for a cross-sectional survey using convenience sampling. General Information Questionnaire, Clinical Leadership Survey, Chinese version of Wong and Law Emotional Intelligence Scale (WLEIS-C) , and Jefferson Scale of Empathy-Health Professionals (JSE-HP) were used as survey instruments. Multiple linear regression was used to analyze the factors influencing clinical leadership among Interventional Operating Room nurses. Pearson correlation analysis was used to explore the relationship between emotional intelligence, empathy, and clinical leadership.Results:A total of 220 questionnaires were distributed and 204 valid questionnaires were recovered, with a valid recovery rate of 92.73% (204/220) . The clinical leadership scores of the 204 Interventional Operating Room nurses were (66.35±8.74) , and the dimensions scored, in descending order, as encouraging the heart, enabling others to act, modeling the way, inspiring a shared vision, and challenging the process. The mean scores of WLEIS-C and JSE-HP items were (5.88±0.90) and (4.61±0.63) , respectively. Multiple linear regression analysis showed that the nature of employment and whether or not they participated in leadership training were influencing factors for clinical leadership among Interventional Operating Room nurses (partial regression coefficients of -2.831 and -2.999, respectively; P<0.05) . Emotional intelligence and empathy ability among Interventional Operating Room nurses were positively correlated with clinical leadership ( P<0.05) . Conclusions:Clinical leadership of nurses in the Interventional Operating Room of ClassⅢ Grade A general hospitals in Shandong Province is at a moderate to high level. Nurses who participate in leadership training, have staffing, have greater empathy, and have higher emotional intelligence have greater clinical leadership. It is recommended that nursing administrators add leadership-related courses to the training of nurses in the Interventional Operating Room, and take steps to improve nurses' emotional intelligence and empathy ability, thereby promoting clinical leadership among Interventional Operating Room nurses.

Objective:This study aimed to analyze the expression of B-cell maturation antigen (CD269) on myeloma cells in patients with newly diagnosed multiple myeloma (NDMM) and evaluate its prognostic value.Methods:The retrospective analysis was conducted on the clinical data of 154 NDMM patients admitted to the outpatient clinics and wards of Beijing Chaoyang Hospital, Capital Medical University from October 23, 2018 to December 25, 2023, including 90 males and 64 females, aged 60(55,66) years old. CD269 phenotype was analyzed using flow cytometry (FCM). Specifically, patients were divided into CD269 positive group (expression>20%, n=103) and CD269 negative group (expression≤20%, n=51) based on the flow cytometry prior to treatment. Initially, we assessed the effect of CD269 expression on progression-free survival (PFS) in patients with NDMM and compared the two groups. Through a cross-sectional analysis, we examined the basic clinical characteristics, 32 laboratory indicators, and 5 cytogenetic indicators. We identified differences between the two groups and analyzed the impact of various indicators on the PFS of patients in both the CD269 positive and negative groups. Furthermore, we employed the Cox proportional hazards regression model to evaluate the influence of CD269 expression and other disease-related indicators on patients′ PFS. Results:Among 154 NDMM patients, 103 were identified as CD269 positive (66.9%), while 51 were CD269 negative (33.1%). No statistically significant differences in clinical indicators were observed between the two groups. The PFS for CD269 positive group was significantly lower than it in the CD269 negative group [28.0(18.0,41.0) months vs 35.0 (27.0, -) months, HR=2.012, 95% CI 1.059-3.824, χ 2=4.554, P=0.033]. Cox proportional hazards regression analysis indicated that CD269 positivity and non-IgG subtypes were independent risk factors influencing PFS in NDMM patients( HR=2.395,95% CI 1.152-4.979, P=0.019; HR=0.425,95% CI 0.223-0.810, P=0.009). In the CD269 positive group, progression-free survival (PFS) was significantly shortened in patients with>65 years, non-IgG subtypes, International Staging System (ISS) stage Ⅲ, β2-microglobulin (β2-MG) levels≥5.5 mg/L, abnormal t(11;14) or ≥3 cytogenetic abnormalities. Conclusion:CD269 positivity serves as an independent risk factor influencing PFS in NDMM patients. Among the factors examined, older age, non-IgG subtype, ISS stage Ⅲ, elevated serum β2-MG, the presence of an abnormal t(11;14) translocation and≥3cytogenetic abnormalities, significantly impact the PFS of CD269 positive patients.

Objectives:To compare the HbA 1c results on capillary electrophoresis (CE), cation exchange-high performance liquid chromatography (CE-HPLC), and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Methods:902 normal samples without hemoglobin variants and 83 samples with hemoglobin variants were collected in 2020. The variants were divided into α-chain, β-chain, γ-chain, and δ-chain variants. The 902 samples without hemoglobin variants were measured by CE, CE-HPLC, and MALDI-TOF MS. Three methods were used for measuring α-chain, β-chain, and γ-chain compared with the liquid chromatography-tandem mass spectrometry (LC-MS/MS) reference method. According to the EP9-A3 guideline, Passing-Bablok regression and concordance correlation coefficient (CCC) were performed for correlation and consistency, respectively. The imprecision was assessed by coefficient of variance (CV). The mean relative bias was calculated and compared with the lowest biological variation bias of 2.3%.Results:All three methods met the acceptance of imprecision requirements (<2%). The R 2 and CCC for the normal samples were all above 0.95 between the pairwise comparison of CE, CE-HPLC, and MALDI-TOF MS. The mean relative bias between MALDI-TOF MS and CE-HPLC was higher than the lowest biological variation bias of 2.3%. The R 2 results between CE and LC-MS/MS results of α-chain, β-chain, γ-chain variants were>0.95, and the mean relative biases for γ-chain variants exceeded the lowest biological variation bias of 2.3%. A bad correlation ( R2=0.66) for β-chain variants was shown between CE-HPLC and LC-MS/MS and the mean relative biases of all variant samples exceeded 2.3%. MALDI-TOF MS showed good correlations with LC-MS/MS for three groups, and the mean relative biases for γ-chain variants were higher than 2.3%. Conclusion:MALDI-TOF MS and CE-HPLC with CE had good comparability in the measurement of HbA 1c in normal samples, butthe three methods showed interferences from different types of Hb variants and the CE method was affected with less interference.

Objective:To compare results of four glycosylated hemoglobin A1c (HbA1c) detection methods and to evaluate the uncertainty of HbA1C results in clinical laboratory, and to provide method for clinical laboratory on the evaluation of uncertainty.Methods:According to the four uncertainty evaluation methods, which were recommended by "CNAS-TRL-001, the evaluation and expression of measurement uncertainty in medical laboratory", the relative and absolute uncertainty of low, medium and high HbA1c in 33 clinical laboratories measured in 2019 and 35 clinical laboratories measured in 2020 was evaluated by more than 6 months of internal quality control (IQC) data, trueness verification and external quality assessment (EQA) data. The four uncertainty evaluation methods were: IQC data and trueness verification data (method 1), only trueness verification data (method 2), IQC and EQA data (method 3) and only EQA data (method 4). The related statistical methods used in this analysis were Friedman and Wilcoxon signed rank test.Results:For method 1, the median range of relative and absolute uncertainty of low, medium and high HbA1c detection in 2019 and 2020 ranged from 4.21% to 9.24% and from 0.27% to 0.64%, respectively. Compared to method 1, the relative and absolute uncertainties obtained by method 2 were smaller, and the differences were statistically significant ( P<0.016 7, P<0.05). Compared to method 1, the relative uncertainties obtained by method 3 and method 4 were smaller, except for the high concentration of HbA1c level in 2020. Among the 6 pairs of comparisons (low, medium and high HbA1c in 2019 and 2020), there were 3 pairs (high HbA1c in 2019, low and medium HbA1c in 2020) and 2 pairs (low and high HbA1c in 2020) of differences with statistical significance (all P<0.016 7). Conclusion:The uncertainty evaluation of HbA1c detection in clinical laboratory should be evaluated based on IQC and trueness verification data.

During the automatic reconstruction of panoramic images, the effect of dental arch curve fitting will affect the integrity of the content of the panoramic image. Metal implants in the patient's mouth usually lead to a decrease in the contrast of the panoramic image, which affects the doctor's diagnosis. In this paper, an automatic oral panoramic image reconstruction method was proposed. By calculating key image areas and image extraction fusion algorithms, the dental arch curve could be automatically detected and adjusted on a small number of images, and the intensity distribution of teeth, bone tissue and metal implants on the image could be adjusted to reduce the impact of metal on other tissues, to generate high-quality panoramic images. The method was tested on 50 cases of cone beam computed tomography (CBCT) data with good results, which can effectively improve the quality of panoramic images.
Humans ; Radiography, Panoramic/methods* ; Cone-Beam Computed Tomography/methods* ; Tooth ; Algorithms ; Image Processing, Computer-Assisted/methods*