Panvascular disease， with vascular diseases as the common pathological feature， is mainly manifested as atherosclerosis. Panvascular disease mainly affects the important organs of the heart， brain， kidney， and limbs. It is one of the leading causes of death for Chinese residents at present. Previously， due to the narrow branches of disciplines， too much attention was paid to local lesions， resulting in the neglect of panvascular disease as a systemic one. The fact that panvascular disease has overall pathology and comprehensive and individualized treatment strategies， makes the disease highly compatible with the principles of holism concept and syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It is believed that blood stasis is the core pathogenesis of atherosclerosis and is involved in the whole process of atherosclerosis. The theories of ''blood vessel''， ''meridians''， ''visceral manifestation''， and ''organs-meridians'' in TCM are helpful to comprehensively understand the complexity of panvascular diseases. Moreover， those theories can provide systematic treatment strategies. The TCM syndromes of panvascular diseases evolve from ''phlegm， stasis， stagnation， and deficiency''. Panvascular arteriosclerosis is related to the syndrome of ''stasis and phlegm''， and the treatment mainly promotes blood circulation and removes phlegm. There are different specific drugs and mechanisms of action for coronary atherosclerosis， cerebral atherosclerosis， and renal artery atherosclerotic stenosis. Panvascular venous lesions are related to the syndrome of ''deficiency and stasis'' in TCM， and the TCM treatment mainly invigorates Qi and promotes blood circulation， which can inhibit venous thrombosis， improve venous ulcers， and resist venous endothelial damage. Panvascular microcirculatory lesions are inseparable from the ''stagnation and stasis'' in TCM， and the treatment mainly promotes Qi and dredges collaterals， which has a good effect on coronary microvascular lesions， diabetic microvascular lesions， pulmonary microvascular lesions， and pancreatic microvascular lesions. Panvascular lymphatic lesions are related to the syndrome of ''water and stasis'' in TCM. The treatment method focuses on promoting blood circulation and water excretion， which can promote lymphangiogenesis and enhance lymphatic reflux. In addition， the combination of TCM and modern technology， especially the application of artificial intelligence， can improve the efficiency of early identification and personalized treatment， resulting in early screening and comprehensive management of panvascular diseases. Therefore， TCM will play a vital role in the prevention and treatment of panvascular diseases.

Panvascular disease， with vascular diseases as the common pathological feature， is mainly manifested as atherosclerosis. Panvascular disease mainly affects the important organs of the heart， brain， kidney， and limbs. It is one of the leading causes of death for Chinese residents at present. Previously， due to the narrow branches of disciplines， too much attention was paid to local lesions， resulting in the neglect of panvascular disease as a systemic one. The fact that panvascular disease has overall pathology and comprehensive and individualized treatment strategies， makes the disease highly compatible with the principles of holism concept and syndrome differentiation and treatment in traditional Chinese medicine （TCM）. It is believed that blood stasis is the core pathogenesis of atherosclerosis and is involved in the whole process of atherosclerosis. The theories of ''blood vessel''， ''meridians''， ''visceral manifestation''， and ''organs-meridians'' in TCM are helpful to comprehensively understand the complexity of panvascular diseases. Moreover， those theories can provide systematic treatment strategies. The TCM syndromes of panvascular diseases evolve from ''phlegm， stasis， stagnation， and deficiency''. Panvascular arteriosclerosis is related to the syndrome of ''stasis and phlegm''， and the treatment mainly promotes blood circulation and removes phlegm. There are different specific drugs and mechanisms of action for coronary atherosclerosis， cerebral atherosclerosis， and renal artery atherosclerotic stenosis. Panvascular venous lesions are related to the syndrome of ''deficiency and stasis'' in TCM， and the TCM treatment mainly invigorates Qi and promotes blood circulation， which can inhibit venous thrombosis， improve venous ulcers， and resist venous endothelial damage. Panvascular microcirculatory lesions are inseparable from the ''stagnation and stasis'' in TCM， and the treatment mainly promotes Qi and dredges collaterals， which has a good effect on coronary microvascular lesions， diabetic microvascular lesions， pulmonary microvascular lesions， and pancreatic microvascular lesions. Panvascular lymphatic lesions are related to the syndrome of ''water and stasis'' in TCM. The treatment method focuses on promoting blood circulation and water excretion， which can promote lymphangiogenesis and enhance lymphatic reflux. In addition， the combination of TCM and modern technology， especially the application of artificial intelligence， can improve the efficiency of early identification and personalized treatment， resulting in early screening and comprehensive management of panvascular diseases. Therefore， TCM will play a vital role in the prevention and treatment of panvascular diseases.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To investigate the willingness to receive the pneumococcal vaccine and its influencing factors among middle-aged and elderly population in Zhejiang Province, so as to provide a basis for increasing the vaccination rate of pueumococcal among middle-aged and elderly population. Methods: From March to May 2024, a multi-stage random sampling method was employed to recruit residents aged ≥50 years from 35 counties (cities or districts) in Zhejiang Province. Data on basic information, knowledge of pneumonia, pneumococcal vaccine, and willingness to receive pneumococcal vaccine were collected through questionnaire surveys. A multivariable logistic regression model was used to analyze influencing factors for the willingness to receive pneumococcal vaccine among middle-aged and elderly population. Results: A total of 10 500 middle-aged and elderly population were surveyed. Among them, there were 5 202 males, accounting for 49.54%, and 5 298 females, accounting for 50.46%. The mean age was (65.11±9.05) years. Of the participants, 7 732 individuals were aware of pneumonia, accounting for 73.64%. A total of 1 724 individuals had received pneumococcal vaccine, corresponding to a vaccination rate of 16.42%. Furthermore, 5 138 participants expressed willingness to receive pneumococcal vaccine, with a willingness rate of 48.93%. The multivariable logistic regression analysis showed that middle-aged and elderly population aged ≥60 years (60-<70 years, OR=1.577, 95%CI: 1.433-1.736; ≥70 years, OR=2.110, 95%CI: 1.918-2.321), those with a history of chronic diseases (OR=1.250, 95%CI: 1.154-1.353), those who were recommended to receive the pneumonia vaccine by doctors (OR=4.896, 95%CI: 4.507-5.318), those who were aware of pneumonia (OR=1.460, 95%CI: 1.338-1.594), those who were aware that the elderly are prone to pneumonia (OR=1.490, 95%CI: 1.375-1.614), those who were aware of the causes of pneumonia (OR=1.559, 95%CI: 1.434-1.694), those who were aware that vaccination can prevent pneumonia (OR=2.196, 95%CI: 2.031-2.375), and those who were aware of the immunization schedule for pneumonia vaccine (OR=1.897, 95%CI: 1.683-2.124) had a higher willingness to receive pneumonia vaccine. Conclusions The willingness of middle-aged and elderly population in Zhejiang Province to receive pneumonia vaccine is related to age, history of chronic diseases, awareness of pneumonia, and awareness of pneumonia vaccine. It is recommended to strengthen health education on pneumonia and pneumonia vaccine for middle-aged and elderly population, in order to increase the willingness to receive the vaccine and vaccination rate.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

BACKGROUND: Generalized pustular psoriasis (GPP), a rare and recurrent autoinflammatory disease, imposes a substantial burden on patients and society. Awareness of GPP in China remains limited. METHODS: This cross-sectional survey, conducted between September 2021 and May 2023 across 14 hospitals in China, included GPP patients of all ages and disease phases. Data collected encompassed demographics, clinical characteristics, economic impact, disease severity, quality of life, and treatment-related complications. Risk factors for GPP recurrence were analyzed. RESULTS: Among 127 patients (female/male ratio = 1.35:1), the mean age of disease onset was 25 years (1st quartile [Q1]-3rd quartile [Q3]: 11-44 years); 29.2% had experienced GPP for more than 10 years. Recurrence occurred in 75.6% of patients, and nearly half reported no identifiable triggers. Younger age at disease onset ( P  = 0.021) and transitioning to plaque psoriasis ( P  = 0.022) were associated with higher recurrence rates. The median diagnostic delay was 8 months (Q1-Q3: 2-41 months), and 32.3% of patients reported misdiagnoses. Comorbidities were present in 53.5% of patients, whereas 51.1% experienced systemic complications during treatment. Depression and anxiety affected 84.5% and 95.6% of patients, respectively. During GPP flares, the median Dermatology Life Quality Index score was 19.0 (Q1-Q3: 13.0-23.5). This score showed significant differences between patients with and without systemic symptoms; it demonstrated correlations with both depression and anxiety scores. Treatment costs caused financial hardship in 55.9% of patients, underscoring the burden associated with GPP. CONCLUSIONS The substantial disease and economic burdens among Chinese GPP patients warrant increased attention. Patients with early onset disease and those transitioning to plaque psoriasis require targeted interventions to mitigate the high recurrence risk.
Humans ; Male ; Female ; Psoriasis/pathology* ; Adult ; Cross-Sectional Studies ; Adolescent ; Child ; Young Adult ; Quality of Life ; Middle Aged ; China/epidemiology* ; Recurrence ; Risk Factors ; Surveys and Questionnaires ; East Asian People