Most patients with differentiated thyroid cancer have a good prognosis after radioiodine-131 therapy,but a small number of patients are insensitive to radioiodine-131 therapy and even continue to develop disease.At present,some targeted drugs can improve progression-free survival in patients with radioactive iodine-refractory differentiated thyroid cancer(RAIR-DTC),such as sorafenib and levatinib,have been approved for the treatment of RAIR-DTC.However,due to the presence of primary and acquired drug resistance,drug efficacy in these patients is unsatisfactory.This review introduces the acquired drug resistance mechanism of sorafenib in the regulation of mitogen-activated protein kinase(MAPK)and phosphatidylinositol-3-kinase(PI3K)pathways and proposes related treatment strategies,in order to provide a reference for similar drug resistance mechanism of sorafenib and effective treatment of RAIR-DTC.

Objective To compare regional pulmonary ventilation and perfusion and ventilation/perfusion(V/Q)matching in different body positions using electrical impedance tomography(EIT).Methods Ten healthy experimental pigs were selected to collect their EIT lung ventilation and perfusion data in supine,prone,left lateral and right lateral positions.The EIT data underwent analysis and image reconstruction using MATLAB R2022b and EIDORS v3.9.The effective regions with ventilation and perfusion were determined and the V/Q matching regions were computed with the maximum pixel value 20％as the threshold.Comparisons were carried out over the V/Q matching indexes including V/Q match％,dead space％and shunt％and ventilation and perfusion distribution in regions of interest(ROIs)including ROI1,ROI2,ROI3 and ROI4 in different body positions.Results The differences in V/Q match％,dead space％and shunt％of the experimental animals in varied positions were not statistically significant(P＞0.05).The regional distribution of pulmonary ventilation and perfusion changed in different positions,and the regional distributions differed in ROIl,ROI2 and ROI3 for ventilation(P＜0.05)and in ROI1 and ROI2 for perfusion(P＜0.05).The ventilation and perfusion regions were distributed consistently with the gravity-dependent areas in supine and prone positions whereas conversely in the right and left lateral positions.Conclusion The V/Q matching indexes of one subject have high test consistency in different body positions;gravity-dependent areas varied with the changes of the body positions,which affected the distribution of pulmonary ventilation and perfusion regions;EIT can be used for measuring the changed pulmonary ventilation and perfusion due to different positions and determining the influences of position changes on pulmonary ventilation and perfusion and V/Q matching.[Chinese Medical Equipment Journal,2024,45(5):1-7]

China prospective multicenter birth cohort (Prospective Omics Health Atlas birth cohort, POHA birth cohort) study was officially launched in 2022. This study, in collaboration with 12 participating units, aims to establish a high-quality, multidimensional cohort comprising 20 000 naturally conceived families and assisted reproductive families. The study involves long-term follow-up of parents and offspring, with corresponding biological samples collected at key time points. Through multi-omics testing and analysis, the study aims to conduct multi-omics big data research across the entire maternal and infant life cycle. The goal is to identify new biomarkers for maternal and infant diseases and provide scientific evidence for risk prediction related to maternal diseases and neonatal health.

Objective:To explore the dosimetry difference between intensity-modulated radiotherapy (IMRT) and volumetric intensity modulated arc therapy (VMAT) based on the inner edge tangent field (IETF) after left-sided breast conserving surgery.Methods:The localization CT and target organ at risk (OAR) data of 35 patients with left-sided breast cancer treated with IMRT after breast conserving surgery at Department of Radiotherapy in Yunnan Cancer Hospital from June 2022 to June 2023 were selected. The IETF-IMRT and the IETF-VMAT plans were designed for the same patient based on IETF, the dosimetry differences of target areas and OAR, as well as the planned execution time were compared between the two groups.Results:Dosimetry of target areas: for IETF-IMRT and IETF-VMAT, the D 98% of the planning target volume were (47.92±0.51) and (48.21±0.33) Gy, respectively, while the D 50% were (52.04±0.22) and (51.91±0.26) Gy, respectively, and the D 2% were (53.93±0.36) and (53.62±0.41) Gy, respectively, the conformity index were 0.84±0.03 and 0.87±0.02, respectively, while the homogeneity index were 0.12±0.01 and 0.10±0.01, respectively, with statistically significant differences ( t=-3.87, P<0.001; t=3.53, P=0.001; t=5.30, P<0.001; t=-13.60, P<0.001; t=6.24, P<0.001). Dosimetry of OAR: for IETF-IMRT and IETF-VMAT, the left lung V 5 were (31.91±6.28) % and (33.99±6.31) %, respectively, and the V 20 were (11.71±2.06) % and (9.73±2.12) %, respectively, with statistically significant differences ( t=-4.18, P<0.001; t=12.40, P<0.001). The right lung V 5 were (0.11±0.08) % and (7.13±3.12) %, respectively, and the D mean were (1.05±0.12) and (2.71±0.27) Gy, respectively, with statistically significant differences ( t=-33.62, P<0.001; t=-13.30, P<0.001). The spinal cord D 2% were (1.08±0.11) and (4.83±1.40) Gy, respectively, with a statistically significant difference ( t=-15.99, P<0.001). The left lung D mean were (7.45±1.08) and (7.37±1.03) Gy, the heart D mean were (4.21±0.96) and (4.41±0.48) Gy, and the right-sided breast D mean were (3.74±1.52) and (3.48±1.11) Gy, respectively, with no statistically significant difference ( t=1.16, P=0.253; t=-1.76, P=0.088; t=1.41, P=0.169). Planned execution time: the execution time of IETF-IMRT and IETF-VMAT was (10.73±1.21) and (2.18±0.17) min, respectively, with a statistically significant difference ( t=44.71, P<0.001) . Conclusion:Both IETF-IMRT and IETF-VMAT can meet clinical requirements, however the two techniques have their own characteristics. IETF-VMAT has better conformity and homogeneity of target region. The planned OAR dosimetry in both plans are significantly lower than the dose limit of postoperative radiotherapy for breast cancer, among which the left lung V 5, the right lung V 5, D mean and spinal cord D 2% of IETF-IMRT are slightly lower, the left lung V 20 of IETF-VMAT is slightly lower. IETF-VMAT significantly reduces the planned execution time compared with IETF-IMRT, thus can greatly reduce the dose deviation caused by patient position change, and significantly improve patients experience and comfort of radiotherapy. Taken together, IETF-VMAT has advantages over IETF-IMRT in radiotherapy after breast conserving surgery of left-sided breast cancer.

Objective:To analyze the effects of different dose calculation grid size of Monaco system on the physical and biological dosimetry of target area and organ at risk (OAR) in T 4 nasopharyngeal carcinoma. Methods:A total of 18 patients with stage T 4 nasopharyngeal carcinoma who received radiotherapy in the Department of Radiotherapy of Yunnan Cancer Hospital from October 2020 to April 2022 were selected to complete the delineation of target areas and OAR in the Monaco 5.11.03 system, and the volumetric intensity modulated arc therapy (VMAT) plan was developed on the 3 mm grid with the optimization mode of target area priority. The 3 mm grid group plan was replicated without changing any other parameters, and the physical plan was re-established on the 1, 2, 4 and 5 mm grids, and then the five plans were normalized to the prescription dose to cover 95% of the target volume. The planning time, D 2%, D 50%, D 98%, conformity index (CI), homogeneity index (HI), gradient index (GI), tumor control probability (TCP), D 2% and D mean of important OAR around the target area were calculated and statistically analyzed. Results:Planning primary tumor gross target volume (PGTVp) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (76.94±0.66), (75.98±0.76), (75.56±0.67), (75.67±0.73) and (75.94±0.85) Gy, respectively, with a statistically significant difference ( F=9.86, P<0.001). The CI of 1, 2, 3, 4 and 5 mm groups were 0.75±0.05, 0.78±0.04, 0.78±0.05, 0.79±0.04 and 0.78±0.04, respectively, with a statistically significant difference ( F=2.61, P=0.041). There were statistically significant differences in D 50%, D 98%, HI, equivalent uniform dose (EUD) and tumor control probability (TCP) among the groups ( H=17.14, P=0.002; F=9.35, P<0.001; H=25.43, P<0.001; F=5.85, P<0.001; H=17.65, P=0.001). There was no statistically significant difference in GI among the groups ( P>0.05). Pairwise comparison showed that D 2% in 2, 3, 4, 5 mm groups compared with 1 mm group, D 50% in 5 mm group compared with 2, 3 mm groups, D 98% in 4 mm group compared with 1, 2 mm groups, D 98% in 5 mm group compared with 1, 2, 3 mm groups, CI in 5 mm group compared with 1 mm group, HI in 2, 3, 4, 5 mm groups compared with 1 mm group, EUD in 3 mm group was compared with 1 mm group, EUD in 5 mm group compared with 2, 3 mm groups, TCP in 3 mm group compared with 1 mm group, and TCP in 5 mm group compared with 3 mm group, there were statistically significant differences (all P<0.05). Planning nodal gross target volume (PGTVn) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (76.36±0.59), (75.36±0.62), (75.04±0.68), (75.25±0.72) and (75.39±0.77) Gy, respectively, with a statistically significant difference ( F=10.32, P<0.001). The HI of 1, 2, 3, 4 and 5 mm groups were 1.08 (1.08, 1.08), 1.07 (1.06, 1.07), 1.06 (1.06, 1.07), 1.06 (1.06, 1.07), 1.06 (1.06, 1.07), 1.06 (1.06, 1.08), respectively, with a statistically significant difference ( H=22.00, P<0.001) ; There were statistically significant differences in D 50%, D 98% and EUD among the groups ( H=11.79, P=0.019; H=20.49, P<0.001; F=12.14, P=0.016). Pairwise comparison showed that there were statistically significant differences in D 2% between 2, 3, 4, 5 mm groups and 1 mm group, D 98% between 4 mm group and 1 mm group, D 98% between 5 mm group and 1, 2 mm groups, HI between 2, 3, 4 mm groups and 1 mm group, and EUD between 3 mm group and 1 mm group (all P<0.05). Planning primary tumor clinical target volume 1 (PCTVp1) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (76.59±0.63), (75.64±0.65), (75.64±0.98), (75.41±0.70) and (75.71±0.84) Gy, respectively, with a statistically significant difference ( F=9.53, P<0.001). The D 50% of 1, 2, 3, 4, 5 mm groups were (72.09±0.34), (71.85±0.39), (71.82±0.45), (72.04±0.56), (72.43±0.66) Gy, respectively, with a statistically significant difference ( F=4.20, P=0.019). There was no statistically significant difference in the other indexes among the groups (all P>0.05). Pairwise comparison showed that there were statistically significant differences in D 2% between 2, 3, 4, 5 mm groups and 1 mm group, and in D 50% between 2, 3 mm groups and 1 mm group (all P<0.05). Planning nodal clinical target volume 1 (PCTVn1) : There were no statistically significant differences in all indexes among the groups (all P>0.05). Planning clinical target volume 2 (PCTV2) : The D 2% of 1, 2, 3, 4 and 5 mm groups were (75.57±0.50), (74.87±0.67), (74.51±0.51), (74.61±0.63) and (75.00±0.74) Gy, respectively, with a statistically significant difference ( F=8.27, P<0.001). Pairwise comparison showed that the D 2% of the 2, 3, 4 mm groups were significantly different from that of the 1 mm group (all P<0.05). The calculation time of physical plan in 1, 2, 4 and 5 mm groups was 987.00 (848.00, 1 091.00), 120.50 (99.75, 134.00), 26.00 (24.00, 34.25) and 21.50 (18.75, 34.75) s, respectively, with a statistically significant difference ( H=61.62, P<0.001). Pairwise comparison showed that there were statistically significant differences in the calculation time between 4 mm group and 1, 2 mm groups, 5 mm group and 1, 2 mm groups (all P<0.05). There was no statistically significant difference in the dosimetric parameters of OAR around the target area among the groups (all P>0.05) . Conclusion:The physical dose and biological dose of the important OAR around the target area and the target area change with the change of dose calculation grid size when formulating the physical plan of radiotherapy for T 4 nasopharyngeal carcinoma. Considering the quality of the physical plan and the calculation time, when the Monaco system formulates the VMAT plan for T 4 nasopharyngeal carcinoma patients, the plan can be optimized on the 3 mm computing grid and copied to the 1 mm computing grid for recalculation.

Objective To propose a method for predicting weaning outcomes based on machine learning and electrical impedance tomography(EIT).Methods Firstly,EIT image features were extracted from a total of 84 samples from 30 patients,and the important features screened with the extreme gradient boosting(XGBoost)algorithm were used as inputs to the model.Secondly,the prediction model was built with six machine learning methods,namely random forest(RF),support vector machines(SVM),XGBoost,gradient boosting decision tree(GBDT),logistic regression(LR)and decision tree(tree).Then the prediction model had its prediction performance evaluated by AUC,accuracy,sensitivity and specificity under imbalanced dataset,over-sampling balanced dataset and random under-sampling balanced dataset.Results In terms of AUC,accuracy and specificity,the model under the over-sampling balanced dataset and the random under-sampling balanced dataset behaved better than that under the imbalanced dataset(P＜0.05);in terms of sensitivity,the difference in model performance between the over-sampling balanced dataset and the imbalanced dataset was not statistically significant(P＞0.05),and the model performance under the random under-sampling balanced dataset decreased when compared with that under the imbalanced dataset(P＜0.05).There were no significant differences between the model performance under the over-sampling balanced dataset and that under the random under-sampling balanced dataset(P＞0.05).The model based on XGBoost behaved the best under the over-sampling balanced dataset,with an AUC of 0.769,an accuracy of 0.808,a sensitivity of 0.938 and a specificity of 0.600.Conclusion The method based on machine learning and EIT predicts weaning outcomes of patients with prolonged mechanical ventilation,and thus can be used for auxiliary decision support for clinicians to determine the appropriate timing of weaning.[Chinese Medical Equipment Journal,2023,44(10):1-6]

A fall detection algorithm for community healthcare is proposed to avoid the secondary injury caused by untimely treatment when the elder living alone falls in the community.The algorithm has two branches,namely 2D convolution and 3D convolution,which allow it can extract spatial and temporal features simultaneously.The dense connections added in the 3D branch enhance the ability to extract temporal features;the residual blocks in the 2D branch are redesigned to improve the ability of spatial feature extraction;and a non-local attention mechanism is introduced to the branch fusion for better feature fusion.The algorithm also takes scene information into consideration,and it is supervised by SIoU loss function and the combined loss function to realize fall detection.The experiment on the expanded public URFD dataset reveals that the proposed method has a detection accuracy of 98.3%,which verifies its performance and robustness for fall detection.

OBJECTIVE: To investigate the molecular mechanisms underlying the beneficial effect of electroacupuncture (EA) in experimental models of Alzheimer's disease (AD) in vivo. METHODS: Senescence-accelerated mouse prone 8 (SAMP8) mice were used as AD models and received EA at Yingxiang (LI 20, bilateral) and Yintang (GV 29) points for 20 days. For certain experiments, SAMP8 mice were injected intravenously with human fibrin (2 mg). The Morris water maze test was used to assess cognitive and memory abilities. The changes of tight junctions of blood-brain barrier (BBB) in mice were observed by transmission electron microscope. The expressions of fibrin, amyloid- β (Aβ), and ionized calcium-binding adapter molecule 1 (IBa-1) in mouse hippocampus (CA1/CA3) were detected by reverse transcription-quantitative polymerase chain reaction (qRT-PCR), Western blot or immunohistochemical staining. The expression of fibrin in mouse plasma was detected by enzyme-linked immunosorbent assay. The expressions of tight junction proteins zonula occludens-1 and claudin-5 in hippocampus were detected by qRT-PCR and immunofluorescence staining. Apoptosis of hippocampal neurons was detected by terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining. RESULTS: Fibrin was time-dependently deposited in the hippocampus of SAMP8 mice and this was inhibited by EA treatment (P<0.05 or P<0.01). Furthermore, EA treatment suppressed the accumulation of Aβ in the hippocampus of SAMP8 mice (P<0.01), which was reversed by fibrin injection (P<0.05 or P<0.01). EA improved SAMP8 mice cognitive impairment and BBB permeability (P<0.05 or P<0.01). Moreover, EA decreased reactive oxygen species levels and neuroinflammation in the hippocampus of SAMP8 mice, which was reversed by fibrin injection (P<0.05 or P<0.01). Mechanistically, EA inhibited the promoting effect of fibrin on the high mobility group box protein 1 (HMGB1)/toll-like receptor 4 (TLR4) and receptor for advanced glycation end products (RAGE)/nicotinamide adenine dinucleotide phosphate (NADPH) signaling pathways (P<0.01). CONCLUSION EA may potentially improve cognitive impairment in AD via inhibition of fibrin/A β deposition and deactivation of the HMGB1/TLR4 and RAGE/NADPH signaling pathways.
Mice ; Humans ; Animals ; NADP/metabolism* ; Toll-Like Receptor 4 ; HMGB1 Protein/metabolism* ; Receptor for Advanced Glycation End Products/metabolism* ; Blood-Brain Barrier/metabolism* ; Neuroinflammatory Diseases ; Electroacupuncture ; Alzheimer Disease/therapy* ; Hippocampus/metabolism* ; Amyloid beta-Peptides/metabolism*

Objective:To investigate the expression levels and clinical significance of collagen typeⅠ α1 chain (COL1A1) and collagen type Ⅰ α2 chain (COL1A2) in malignant pleural mesothelioma (MPM) tissues.Methods:In January 2020, MPM tissues and adjacent normal pleural tissues were collected from 26 MPM patients, and the expression levels of COL1A1 and COL1A2 genes in the tissues were determined by quantitative reverse transcription PCR, and the efficacy of both levels in diagnosing MPM was assessed using receiver operating characteristic (ROC) curves. The relationship between COL1A1 and COL1A2 gene expression and clinicopathological features was analyzed by the Cancer Genome Atlas (TCGA) database, and the relationship between the expression levels of both and overall survival (OS) and disease-free progression survival (DFS) of MPM patients was dynamically analyzed by gene expression profiling, and the factors affecting the prognosis of MPM patients were explored by Cox proportional risk regression model. The TIMER 2.0 platform was used to explore the relationship between COL1A1 and COL1A2 gene expression in MPM and tumor immune infiltrative cells.Results:Compared with normal pleural tissues, the expression of COL1A1 and COL1A2 genes was significantly increased in MPM tissues ( P<0.01) , and their expression was positively correlated ( P<0.001) . The ROC curves showed that the area under the curve for COL1A1 and COL1A2 expression levels diagnostic of MPM was 0.900 and 0.897, respectively. The expression of COL1A1 gene was correlated with tumor type in MPM patients ( P<0.05) , and COL1A2 gene expression was correlated with T stage in MPM patients ( P<0.05) . Both COL1A1 and COL1A2 gene expression were associated with OS in MPM patients (Logrank P<0.05) , but there was no significant correlation with DFS (Logrank P>0.05) . Cox multivariate analysis showed that patients with high COL1A1 and COL1A2 gene expression and biphasic mixed MPM had a higher risk of death ( P<0.05) . TIMER 2.0 platform analysis showed that COL1A1 and COL1A2 gene expression in MPM patients was positively correlated with macrophages, COL1A2 gene expression in MPM was negatively correlated with neutrophils ( P<0.05) . Conclusion:High expression of COL1A1 and COL1A2 genes in MPM tissues is valuable for diagnosis, disease prediction and prognostic assessment of MPM, and both may jointly contribute to the development of MPM.

Objective Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors. Methods From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge. Results Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9％) were men. Among them, nearly two-thirds (62.5％) of the survivors were moderate, three (9.4％) were severe, and more than half (59.4％) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6％ at 3 months to 15.8％ at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1％) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period. Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.