OBJECTIVE To analyze the impact of the diagnosis-related groups （DRG） payment reform on the length of stay and medical costs in patients with chronic obstructive pulmonary disease （COPD） in Kashgar region， aiming to provide localized empirical evidence for the optimization of regional medical insurance payment methods. METHODS Based on the inpatient settlement database of the Xinjiang Uygur Autonomous Region Healthcare Security Administration， settlement data of COPD inpatients from 17 medical institutions in Kashgar region between January 1， 2022， and December 31， 2024， were extracted. The overall changes in patients’ length of stay and costs were compared before and after the reform. Subsequently， interrupted time series analysis （ITSA） was employed to explore the impact of the DRG payment reform on these variables. RESULTS Following the reform， both the average length of stay and various cost decreased significantly compared to the pre-reform period （ P ＜0.001）. At the overall sample level， the average length of stay， average total cost， average drug cost， average medical service cost， and average examination cost per admission all demonstrated significant long-term downward trends after the reform （ P ＜0.05）. However， the decrease in average out-of-pocket costs and the increase in average consumable costs per admission were not statistically significant （ P ＞0.05）. In tertiary medical institutions， the average length of stay and all categories of costs （except average consumable costs per admission） exhibited significant long-term upward trends after the reform （ P ＜0.05）； conversely， in secondary and lower-level medical institutions， the average length of stay， average total cost， average drug cost， average medical service cost， and average examination cost per admission showed significant long-term downward trends （ P ＜0.05）. CONCLUSIONS The DRG payment reform has achieved an overall effect of reducing the length of stay and controlling costs in COPD patients from Kashgar region. However， the effects vary across different levels of medical institutions： secondary and lower-level institutions show a long-term downward trend in length of stay and costs， whereas tertiary institutions exhibit a long-term upward trend. Furthermore， patients’ out-of-pocket financial burden does not show significant improvement.

OBJECTIVE To provide a reference for optimizing and promoting the quality standards of Shechuan naolitong granules. METHODS Fifteen batches of Shechuan naolitong granules were used as samples to establish HPLC fingerprints using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine （2012 edition）. Similarity evaluation and common peak identification were performed， and orthogonal partial least squares discriminant analysis （OPLS-DA） was used to assess quality differences among different batches and to screen quality differential components. Using salvianolic acid B（SAB） as the internal reference， quantitative analysis of multi-components by single-marker （QAMS） was developed to simultaneously determine geniposidic acid （GA）， chlorogenic acid （CA）， vaccarin （VA）， ferulic acid （FA） and senkyunolide I （SI）. The results were compared with those obtained by the external standard method. RESULTS A total of 13 common peaks were identified in the HPLC fingerprints of 15 batches of samples， and the similarities of the spectra were all above 0.96. Seven chromatographic peaks were identified as GA （peak 3）， CA （peak 6）， VA （peak 8）， FA （peak 9）， SI （peak 11）， SAB（peak 12） and TA（peak 13）. OPLS-DA indicated that the differential quality markers among 15 batches were peaks 5， 11 （SI）， and 12 （SAB）.Using SAB as the internal reference， the relative correction factors for GA， CA， VA， FA and SI were calculated as 1.058 4， 0.594 3， 0.643 3， 0.342 7 and 0.262 8， respectively. The mean content of GA， CA， VA， FA， SI and SAB across the 15 batches of samples were 0.155 0， 0.085 4， 0.140 3， 0.071 8， 0.072 7， 1.276 3 mg/g， respectively， showing no significant difference compared with the ESM （P＞0.05）. CONCLUSIONS The established HPLC fingerprint and QAMS are simple， efficient and economical， providing a reference for the quality control and further development of Shechuan naolitong granules.

Lung cancer is the leading cause of cancer-related deaths worldwide. Radiation pneumonitis is a major complication in lung cancer radiotherapy. Four-dimensional computed tomography (4DCT) imaging provides dynamic ventilation information, which is valuable for lung function assessment and radiation pneumonitis prevention. Many methods have been developed to calculate lung ventilation from 4DCT, but a systematic comparison is lacking. Prediction of radiation pneumonitis using 4DCT-based ventilation is still in an early stage, and no comprehensive review exists. This paper presented the first systematic comparison of functional lung ventilation algorithms based on 4DCT over the past 15 years, highlighting their clinical value and limitations. It then reviewed multimodal approaches combining 4DCT ventilation imaging, dose metrics, and clinical data for radiation pneumonitis prediction. Finally, it summarized current research and future directions of 4DCT in lung cancer radiotherapy, offering insights for clinical practice and further studies.
Humans ; Lung Neoplasms/diagnostic imaging* ; Four-Dimensional Computed Tomography/methods* ; Radiation Pneumonitis/etiology* ; Algorithms ; Lung/radiation effects* ; Pulmonary Ventilation

Objective:To explore cortical activation during the obstacle avoidance task in convalescent stroke patients,and examine the effect of obstacle avoidance difficulty on brain activation.Method:A total of 20 convalescent stroke patients were recruited to perform various motor tasks,including walking,simple obstacle avoidance,difficult obstacle avoidance,and motor imagery.Functional near-infrared spectroscopy(fNIRS)was used to detect the oxygenated hemoglobin concentration in the prefrontal cortex(PFC),premotor cortex(PMC)and supplementary motor area(SMA)of the patients.Additional relevant sec-ondary indicators were evaluated and collected.Statistical analysis was performed without grouping and with grouping.Result:The activation levels of bilateral PFC,PMC and SMA during the dynamic task were significantly dif-ferent from those during the static tasks(P＜0.05),with the highest activation observed in the PFC.There were significant differences between simple and difficult obstacle avoidance tasks in the unaffected-side SMA(P＜0.05).In addition,there was a linear positive correlation between the peak activation level of PMC on the unaffected side and Tinetti score(P＜0.05).Conclusion:Bilateral PFC,PMC and SMA are involved in limb movement in convalescent stroke patients,with PFC showing the highest level of activation.In addition,SMA on the unaffected side may contribute to regulating the difficulty of obstacle avoidance.Moreover,the peak activation level of PMC on the unaffected side is associated with balance and walking function.

Objective To analyze the situation of blood lipid and blood routine parameters in patients with pneumoconiosis,and construct a column chart diagnostic model to explore their diagnostic value for pneumo-coniosis.Methods A total of 456 patients with pneumoconiosis admitted to the First Affiliated Hospital of Chongqing Medical and Pharmaceutical College from January 2022 to January 2024 were selected as the pneu-moconiosis group,while 462 healthy subjects exposed to dust during the same period were chosen as the con-trol group.Serum lipids and blood routine parameters related to pneumoconiosis were measured and compared between two groups.Univariate and multivariate Logistic regression analyzes were conducted to examine ser-um lipids and blood routine parameters associated with pneumoconiosis.A risk prediction model was construc-ted using logistic regression in machine learning,and the diagnostic efficacy of the column chart diagnostic model was evaluated by calculating the C-index through receiver operating characteristic(ROC)curve and plotting the model calibration curve based on Hosmer Lemeshow goodness of fit.Decision curve analysis(DCA)was used to assess the clinical practicality of the column chart diagnostic model.Results The levels of serum high-density ester protein cholesterol(HDL-C),cholesterol(TC),red blood cell(RBC),hematocrit(HCT),hemoglobin concentration(HGB),lymphocyte number(LYM),and lymphocyte percentage(LYM％)in the pneumoconiosis group were lower than those in the control group(P＜0.05).The levels of neutrophil-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune inflammation index(SII)were higher than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that HDL-C,LYM％,PLR,and SII were independent influencing factors for pneumoconiosis(P＜0.05).A column chart diagnostic model for the occurrence of pneumoconiosis was constructed using HDL-C,TC,LYM％,PLR,and SII as diagnostic factors.The ROC curve C-index of the diagnostic model was 0.84(95％CI:0.81-0.86),with sensitivity for diagnosing pneumoconiosis of 75.29％,specificity of 77.51％,posi-tive predictive value of 83.25％,and negative predictive value of 67.88％.Internal validation was conducted on the constructed column chart diagnostic model,with a validation set ROC curve C-index of 0.84(95％CI:0.80-0.87),sensitivity of 80.91％,specificity of 72.62％,positive diagnostic value of 79.46％,and negative diagnostic value of 74.39％.The calibration positive curve slope of the diagnostic model was close to 1,and in the fit test P＞0.05.DCA analysis showed that the diagnostic model had clinical practical value for risk diag-nosis of pneumoconiosis.Conclusion HDL-C,TC,LYM％,PLR and SII are independent influencing factors for pneumoconiosis.A column chart diagnostic model for the occurrence of pneumoconiosis is successfully constructed based on machine learning principles,and it has been verified to have high diagnostic efficiency.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Purpose To evaluate the efficacy of ultra-high field 5.0T MRI combined with histogram analysis for diagnosing prostate cancer and benign prostatic hyperplasia.Materials and Methods This retrospective analysis included data from 63 patients with prostatic diseases at the Chongqing University Three Gorges Hospital from January to May 2024,comprising 31 cases of prostate cancer and 32 cases of benign prostatic hyperplasia.MRI sequences included T2WI,T1WI,diffusion-weighted imaging,intravoxel incoherent motion and T2 mapping.Histogram data of apparent diffusion coefficient,true diffusion coefficient,pseudo-diffusion coefficient,perfusion fraction and T2 relaxation time were calculated,and diagnostic efficacy was assessed using the area under the receiver operating characteristic curve.Results In prostate cancer,the 10th percentile,the 90th percentile,mean,median,and minimum values of histogram parameters from apparent diffusion coefficient,true diffusion coefficient,pseudo-diffusion coefficient,perfusion fraction and T2 mapping were significantly lower than those of benign prostatic hyperplasia(Z=-6.036--3.368,all P<0.05).Notably,the combined model of apparent diffusion coefficient,intravoxel incoherent motion and T2 mapping parameters achieved an the area under the curve of 0.987,with sensitivity and specificity of 96.77%and 96.87%,respectively.Conclusion This study confirms that 5.0T MRI histogram analysis technique demonstrates significant diagnostic efficacy in differentiating prostate cancer from benign prostatic hyperplasia.

Objective:To explore cortical activation during the obstacle avoidance task in convalescent stroke patients,and examine the effect of obstacle avoidance difficulty on brain activation.Method:A total of 20 convalescent stroke patients were recruited to perform various motor tasks,including walking,simple obstacle avoidance,difficult obstacle avoidance,and motor imagery.Functional near-infrared spectroscopy(fNIRS)was used to detect the oxygenated hemoglobin concentration in the prefrontal cortex(PFC),premotor cortex(PMC)and supplementary motor area(SMA)of the patients.Additional relevant sec-ondary indicators were evaluated and collected.Statistical analysis was performed without grouping and with grouping.Result:The activation levels of bilateral PFC,PMC and SMA during the dynamic task were significantly dif-ferent from those during the static tasks(P＜0.05),with the highest activation observed in the PFC.There were significant differences between simple and difficult obstacle avoidance tasks in the unaffected-side SMA(P＜0.05).In addition,there was a linear positive correlation between the peak activation level of PMC on the unaffected side and Tinetti score(P＜0.05).Conclusion:Bilateral PFC,PMC and SMA are involved in limb movement in convalescent stroke patients,with PFC showing the highest level of activation.In addition,SMA on the unaffected side may contribute to regulating the difficulty of obstacle avoidance.Moreover,the peak activation level of PMC on the unaffected side is associated with balance and walking function.

Purpose To evaluate the efficacy of ultra-high field 5.0T MRI combined with histogram analysis for diagnosing prostate cancer and benign prostatic hyperplasia.Materials and Methods This retrospective analysis included data from 63 patients with prostatic diseases at the Chongqing University Three Gorges Hospital from January to May 2024,comprising 31 cases of prostate cancer and 32 cases of benign prostatic hyperplasia.MRI sequences included T2WI,T1WI,diffusion-weighted imaging,intravoxel incoherent motion and T2 mapping.Histogram data of apparent diffusion coefficient,true diffusion coefficient,pseudo-diffusion coefficient,perfusion fraction and T2 relaxation time were calculated,and diagnostic efficacy was assessed using the area under the receiver operating characteristic curve.Results In prostate cancer,the 10th percentile,the 90th percentile,mean,median,and minimum values of histogram parameters from apparent diffusion coefficient,true diffusion coefficient,pseudo-diffusion coefficient,perfusion fraction and T2 mapping were significantly lower than those of benign prostatic hyperplasia(Z=-6.036--3.368,all P<0.05).Notably,the combined model of apparent diffusion coefficient,intravoxel incoherent motion and T2 mapping parameters achieved an the area under the curve of 0.987,with sensitivity and specificity of 96.77%and 96.87%,respectively.Conclusion This study confirms that 5.0T MRI histogram analysis technique demonstrates significant diagnostic efficacy in differentiating prostate cancer from benign prostatic hyperplasia.

Objective:To analyze the clinical efficacy of programmed cell death protein-1(PD-1) inhibitor combined with albumin-binding paclitaxel and platinum in the treatment of advanced non-small-cell lung carcinoma non-small cell lung cancer (NSCLC).Methods:The clinical data of 64 patients with advanced NSCLC treated with neoadjuvant chemotherapy from June 2020 to June 2020 in Huainan Dongfang Hospital Group General Hospital were 2021, the mean age was (57.76 ± 4.68) years, ranging from 36 to 69 years. The patients were randomly divided into control group ( n=32) and observation group ( n=32), the patients in the observation group were treated with PD-1 inhibitor on the basis of the control group. The therapeutic effect and safety were evaluated every 2 cycles with a treatment cycle of 21 days. SPSS26.0 software was used for statistical analysis. The mean ± standard deviation ( ± s) was used for measurement data of normal distribution. T test was used for comparison between groups, and count data was expressed as n(%). Chi square test was used for comparison between groups. Results:The effective rate was 78.13% in the observation group and 53.13% in the control group ( P=0.035). Before chemotherapy, there was no significant difference in KPS scores between the two groups ( P>0.05), but after chemotherapy, the karnofsky performance scale (KPS) scores of both groups were improved, and the effect of observation group was better than that of control group ( P=0.029). The levels of serum CA125, carcinoembryonic antigen and neuron-specific enolase (NSE) were not significantly different between the two groups before treatment ( P>0.05), but after treatment the levels of serum CA125, carcinoembryonic antigen and NSE were decreased in both groups, after treatment, the levels of CD3 + and CD4 + in the observation group were higher than those in the control group ( P<0.001), but the levels of CD3 + and CD4 + in the observation group were higher than those in the control group ( P<0.05), the level of CD8 + in the observation group was significantly lower than that in the control group ( P<0.001), and the level of serum inflammatory factors had no significant difference between the two groups before treatment ( P>0.05), the 2-year mortality rate in the observation group was 59.37% (19.32), which was significantly lower than that in the control group (81.25%, 26/32)( P=0.015). There was no significant difference in the incidence of adverse reactions between the two groups ( P=0.768). Conclusion:PD-1 inhibitor in combination with paclitaxel and platinum is a potential treatment for advanced non-small-cell lung carcinoma non-small cell lung cancer (NSCLC).