ObjectiveTo establish a reliable chronic obstructive pulmonary disease (COPD) mouse model based on a self-developed multichannel automatic control system for long-term continuous cigarette smoke exposure in small animals using a novel continuous cigarette smoke exposure method, and to conduct phenotypic evaluation and analysis, thereby providing an animal experimental basis for investigating COPD pathogenesis and prevention strategies. MethodsTwenty male C57BL/6J mice aged 6 weeks were randomly and equally divided into a control group and a model group. The model group (n=10) underwent 6 h of continuous cigarette smoke exposure daily (6 cigarettes per day for 12 consecutive weeks), while the control group (n=10) received no intervention. Body weight was monitored biweekly. Post-exposure, in vivo micro-CT imaging was performed. After euthanasia, serum and bronchoalveolar lavage fluid (BALF) levels of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) were quantified by ELISA. Lung tissues underwent H&E and Masson's trichrome staining to observe changes in lung morphology and inflammatory cell infiltration, and the mean linear intercept (MLI) was calculated, thereby comprehensively evaluating the clinical features of COPD in the mouse model. ResultsCompared with the control group, the model group showed significantly reduced body weight (P<0.01) from the fourth week. Compared with the control group, IL-6 level in the serum and BALF of the model group increased by 27.2% and 140.0%, respectively (P<0.01). TNF-α level in the serum and bronchoalveolar lavage fluid of the model group increased by 16.7% (P<0.01) and 19.3% (P<0.05), respectively. Histopathological examination revealed alveolar wall thinning, septal rupture, emphysematous bullae formation, reduced alveolar count, bronchial wall thickening with lumen narrowing, and inflammatory cell infiltration. MLI was significantly elevated (P<0.01). Masson's staining confirmed collagen deposition and bronchial remodeling. Micro-CT demonstrated localized high-density shadows exhibiting typical features of chronic bronchitis. Conclusion The self-developed device enables long-term continuous smoke exposure, and the successfully established COPD mouse model exhibits pathological features highly consistent with clinical manifestations, offering an efficient and reliable tool for COPD research.

[Objective] To use Platelet Additive Solution Ⅲ M to suspend concentrated platelets and evaluate their quality at different storage periods, in order to investigate the optimal ratio of Ⅲ M to plasma in the medium for storing concentrated platelets. [Methods] Disposable plastic blood bags with platelet storage bags were used to collect whole blood from healthy voluntary blood donors, and concentrated platelets were collected by plasma-rich method, with a volume of about 50 mL and ≥4.0×10¹⁰ platelets contained in each bag. According to the Platelet Addictive Solution ⅢM/plasma volume ratio in the medium of suspended platelets, the platelets were divided into 3 groups: control group (plasma only), experimental group 1(Platelet Addictive Solution ⅢM/plasma volume ratio of 6.5∶3.5) and experimental group 2 (low plasma group, Platelet Addictive Solution ⅢM/plasma volume ratio of 9∶1), each group of 50 samples. Three groups of platelets were stored at (22±2) ℃ at a flat-bed shaker, and 5 mL were sampled by sterile connection at day 1, 3, 5 and 7 respectively to detect platelet count, pH value, lactate dehydrogenase, CD62P positive rate and Annexin V positive rate. All the data were analyzed with SPSS24.0 software. One-way ANOVA was employed to compare the differences among three groups. In order to pairwise comparisons between means of multiple samples, Bonferroni method was applied. [Results] With the extension of storage time, the platelet count decreased and the Annexin V positive rate increased in the 3 groups, and the difference of the 3 groups was not statistically significant (P>0.05). The pH value decreased in the 3 groups, with values at day 1, 3, 5 and 7 of 7.44±0.13 vs 7.44±0.14 vs 7.41±0.11, 7.31±0.68 vs 7.43±0.23 vs 7.22±0.12, 7.30±0.15 vs 7.42±0.14 vs 7.17±0.12, 7.29±0.33 vs 7.26±0.18 vs 7.04 ± 0.12, respectively. The pH decline in the control group and experiment group 1 was minor, with no statistically significant difference, but experiment group 2 showed relatively larger decreases in day 5 and day 7, with statistically significant difference (P<0.05). LDH concentrate was elevated in 3 groups (mmol/L), with values at day 1,3,5 and 7 of 169.62±99.33 vs 105.80±150.71 vs 77.14±105.38, 225.10±112.86 vs 116.00±72.77 vs 94.42±88.74, 249.42±79.55 vs 119.00±53.51 vs 118.35±80.39, 253.34±86.95 vs 147.71±90.71 vs 124.68±128.68 respectively. Compared with the control group, the difference was statistically significant (P<0.05). Experimental group1 had the smallest increase; CD62P positive rate increased in 3 groups (%), with values at day 1, 3, 5 and 7 of 26.22±11.74 vs 23.48±12.48 vs 40.49±11.86, 41.29±8.36 vs 33.53±25.64 vs 50.42±22.36, 59.59±10.13 vs 36.39±23.10 vs 50.94±20.50, 72.92±15.44 vs 55.54±23.65 vs 61.89±18.82 respectively. Compared with the control group, the increase in experiment group1 was smaller, and the difference was statistically significant (P<0.05). [Conclusion] Platelet Addictive Solution ⅢM/plasma volume ratio of 6.5∶3.5 is superior to traditional plasma in maintaining platelet quality during the in vitro preservation period of platelets.

Objective To compare the long-term survival of elderly patients with esophageal squamous cell carcinoma (ESCC) treated with surgical versus non-surgical treatment. Methods A retrospective analysis was conducted on the clinical data of elderly patients aged ≥70 years with ESCC who underwent esophagectomy or radiotherapy/chemotherapy at Sichuan Cancer Hospital from January 2009 to September 2017. Patients were divided into a surgical group (S group) and a non-surgical group (NS group) according to the treatment method. The propensity score matching method was used to match the two groups of patients at a ratio of 1∶1, and the survival of the two groups before and after matching was analyzed. Results A total of 726 elderly patients with ESCC were included, including 552 males and 174 females, with 651 patients aged ≥70-80 years and 75 patients aged ≥80-90 years. There were 515 patients in the S group and 211 patients in the NS group. The median follow-up time was 60.8 months, and the median overall survival of the S group was 41.9 months [95%CI (35.2, 48.5)], while that of the NS group was only 24.0 months [95%CI (19.8, 28.3)]. The 1-, 3-, and 5-year overall survival rates of the S group were 84%, 54%, and 40%, respectively, while those of the NS group were 72%, 40%, and 30%, respectively [HR=0.689, 95%CI (0.559, 0.849), P<0.001]. After matching, 138 patients were included in each group, and there was no statistical difference in the overall survival between the two groups [HR=0.871, 95%CI (0.649, 1.167), P=0.352]. Conclusion Compared with conservative treatment, there is no significant difference in the long-term survival of elderly patients aged ≥70 years who undergo esophagectomy for ESCC. Neoadjuvant therapy combined with surgery is still an important choice to potentially improve the survival of elderly patients with ESCC.

With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies significantly among patients, underscoring the importance of predicting pathological complete response (pCR) following NAC. Early research relied on statistical methods to integrate clinical data for predicting treatment outcomes. With the advent of artificial intelligence (AI), traditional machine learning approaches were subsequently employed for efficacy prediction. Deep learning emerged to dominate this field, and demonstrated the capability to automatically extract imaging features and integrate multimodal data for pCR prediction. This review comprehensively examined the applications and limitations of these three methodologies in predicting breast cancer pCR. Future efforts must prioritize the development of superior predictive models to achieve precise predictions, integrate them into clinical workflows, enhance patient care, and ultimately improve therapeutic outcomes and quality of life.
Humans ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy ; Artificial Intelligence ; Female ; Machine Learning ; Deep Learning ; Chemotherapy, Adjuvant ; Treatment Outcome

OBJECTIVE: To explore the feasibility of using biomechanical indicators as supplementary evaluation to the Musculoskeletal Tumor Society Scoring System (MSTS) for amputee patients. METHODS: Twenty-four patients who underwent hemipelvectomy between September 2018 and January 2025 were enrolled. There were 15 males and 9 females with an average age of 61.4 years (range, 45-76 years). Participants performed gait tests at self-selected speeds using three assistive devices (prosthesis, single crutch, and double crutches). Motion data were analyzed using a customized OpenSim model. Biomechanical indicators of the intact limb exhibiting common characteristics were screened through correlation and sensitivity analyses. Test-retest reliability [interclass correlation coefficient (ICC)] of selected parameters was assessed to evaluate their potential as MSTS score supplements. RESULTS: All biomechanical indicators showed significant positive correlations with MSTS scores across assistive devices ( P<0.05). Seven indicators demonstrated |Pearson correlation coefficients|>0.8, including walking speed, maximum hip angle, maximum hip moment, peak hip flexion moment, peak hip extension moment, hip flexion impulse, and hip extension impulse. Among these, maximum hip moment, hip flexion impulse, and hip extension impulse exhibited significant between-group differences in adjacent MSTS levels ( P<0.05), indicating high sensitivity, along with excellent test-retest reliability (ICC>0.74, P<0.01). CONCLUSION Biomechanical indicators statistically qualify as potential supplements to MSTS scoring. Maximum hip moment, hip flexion impulse, and hip extension impulse demonstrate particularly high sensitivity to MSTS score variations.
Humans ; Male ; Middle Aged ; Female ; Aged ; Biomechanical Phenomena ; Amputees/rehabilitation* ; Feasibility Studies ; Artificial Limbs ; Reproducibility of Results ; Amputation, Surgical ; Crutches ; Gait

PURPOSE: Intertrochanteric fracture (ITF) classification is crucial for surgical decision-making. However, orthopedic trauma surgeons have shown lower accuracy in ITF classification than expected. The objective of this study was to utilize an artificial intelligence (AI) method to improve the accuracy of ITF classification. METHODS: We trained a network called YOLOX-SwinT, which is based on the You Only Look Once X (YOLOX) object detection network with Swin Transformer (SwinT) as the backbone architecture, using 762 radiographic ITF examinations as the training set. Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. Statistical analysis was performed using the SPSS 20.0 (IBM Corp., Armonk, NY, USA) to compare the differences among the SOTS, JOTS, SOTS + AI, JOTS + AI, SOTS + JOTS, and SOTS + JOTS + AI groups. All images were classified according to the AO/OTA 2018 classification system by 2 experienced trauma surgeons and verified by another expert in this field. Based on the actual clinical needs, after discussion, we integrated 8 subgroups into 5 new subgroups, and the dataset was divided into training, validation, and test sets by the ratio of 8:1:1. RESULTS: The mean average precision at the intersection over union (IoU) of 0.5 (mAP50) for subgroup detection reached 90.29%. The classification accuracy values of SOTS, JOTS, SOTS + AI, and JOTS + AI groups were 56.24% ± 4.02%, 35.29% ± 18.07%, 79.53% ± 7.14%, and 71.53% ± 5.22%, respectively. The paired t-test results showed that the difference between the SOTS and SOTS + AI groups was statistically significant, as well as the difference between the JOTS and JOTS + AI groups, and the SOTS + JOTS and SOTS + JOTS + AI groups. Moreover, the difference between the SOTS + JOTS and SOTS + JOTS + AI groups in each subgroup was statistically significant, with all p < 0.05. The independent samples t-test results showed that the difference between the SOTS and JOTS groups was statistically significant, while the difference between the SOTS + AI and JOTS + AI groups was not statistically significant. With the assistance of AI, the subgroup classification accuracy of both SOTS and JOTS was significantly improved, and JOTS achieved the same level as SOTS. CONCLUSION In conclusion, the YOLOX-SwinT network algorithm enhances the accuracy of AO/OTA subgroups classification of ITF by orthopedic trauma surgeons.
Humans ; Hip Fractures/diagnostic imaging* ; Orthopedic Surgeons ; Algorithms ; Artificial Intelligence

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Objective To investigate the clinical characteristics and research progress of the patients with pregnancy complicating paroxysmal nocturnal hemoglobinuria(PNH).Methods The clinical data of 10 case-times of pregnancy complicating PNH admitted and treated in the Third Affiliated Hospital of Guang-zhou Medical University from September 2009 to January 2023 were retrospectively analyzed."Paroxysmal nocturnal hemoglobinuria"and"pregnancy"served as the English keywords,the literatures included in PubMed were retrieved."paroxysmal nocturnal hemoglobinuria"and"pregnancy"served as the Chinese key-words,the literatures included in CNKI and Wan Fang Databases from January 1986 to December 2022 were retrieved.The clinical characteristics,pregnancy diagnosis and treatment,and pregnancy outcome of together 43 case-times pregnancies complicating with PNH in 10 case-times by retrospective analysis and 33 case-times by retrieval report were analyzed by descriptive statistic method.Results Among 43 case-times of pregnancy,the common clinical symptoms had 29 case-times of anemia(67.44％),17 case-times of thrombocytopenia(39.53％),15 case-times of soy sauce color urine(34.88％),6 case-times of fatigue(13.95％),5 case-times of abdominal pain(11.63％),8 case-times of thrombosis(18.60％)during pregnancy and childbirth and 10 cases of complicating preeclampsia(23.25％).There were 31 case-times(72.09％)of red blood cell transfusions and 11 case-times(30.23％)of platelet transfusions;19 case-times(48.83％)of glucocorticoids use and 25 case-times(46.51％)of low molecular weight heparin(LMWH)use.There were 11 case-times(25.58％)of fetal growth restriction,17 case-times of premature delivery(39.53％),in which 6 case-times(28-33+6 weeks)of early stage premature delivery,the early premature delivery rate was 13.95％,there were 11 case-times of late premature delivery(34-36+6 weeks),the rate of late premature delivery was 25.58％.There were 3 case-times(6.97％)of stillbirth.Conclusion The incidence rate of mother and infant complications and adverse outcomes in the patients with pregnancy complicating PNH is high,which should be jointly man-aged by the doctors in hematology department and obstetric doctors with the experience for treating high risk pregnancy in general hospitals.

Objective To explore the application value of serological markers in the screening of malignant tumor bone metastasis.Methods A total of 113 patients with malignant tumor bone metastasis first diag-nosed in a hospital from June 2023 to February 2024 were selected as case group.Another 80 patients with malignant tumor without bone metastasis diagnosed in the same period were selected as the control group.The levels of serological markers[serum calcium(Ca),parathyroid hormone(PTH),Ca/PTH,procollagen type 1 amino-terminal propeptide(P1NP),beta-C-terminal telopeptide of type 1 collagen(β-CTX)and N-terminal mid-fragment of osteocalcin]were compared between the two groups.Receiver operating characteristic(ROC)curves were plotted to analyze the value of serological markers in screening for bone metastases of lung canc-er,prostate cancer and breast cancer.Multivariate Logistic regression was used to analyze the related factors of malignant tumor bone metastasis.Results The levels of Ca,Ca/PTH,β-CTX and P1NP in case group were significantly higher than those in control group,while PTH in case group was lower than that in control group,with statistical significance(P<0.05).ROC curve results showed that Ca,PTH,Ca/PTH,P1NP and β-CTX had high efficacy in screening malignant tumor bone metastases,and the area under the curve(AUC)was 0.718,0.699,0.712,0.648 and 0.593,respectively.Multivariate Logistic regression analysis showed that Ca/PTH and P1NP were the influencing factors of bone metastasis in malignant tumor(OR=5.036,1.013,P<0.05).The AUC of Ca,PTH and Ca/PTH screening for bone metastasis of lung cancer were 0.781,0.652 and 0.669,respectively.The AUC of β-CTX and P1NP screening for bone metastasis of prostate cancer were 0.800 and 0.815 respectively.The AUC of Ca and P1NP screening for breast cancer with bone metastasis was 0.751 and 0.794,respectively.Conclusion Serological markers(Ca,PTH,Ca/PTH,P1NP and β-CTX)are valuable in screening for malignant tumor bone metastasis.