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 establish refined medication rules for parenteral nutrition （PN） and evaluate its effectiveness. METHODS Refined medication rules for PN were constructed based on drug instructions， relevant guidelines， and expert consensus. Through the pre-approval review system of prescription automatic screening system （PASS）， PN prescription information for inpatients from January to December 2024 （referred to as “post-intervention”） was collected to analyze the post- intervention prescription review status. PN prescription information for inpatients at our hospital from January to December 2023 and January to December 2024 was collected through the medical order review system to evaluate the rationality rates of PN prescriptions. RESULTS The established refined medication rules for PN included system module rules （including nutrients， drug compatibility， PN concentration and osmotic pressure） and custom review rules （covering off-label drug use， drug compatibility， and other drug use conditions）. As of December 2024， the PASS pre-approval review system had established a total of 102 rules， comprising 55 system module rules and 47 custom review rules for PN. After intervention， when comparing with the first quarter of 2024， the number of PN reviewed and intervened by pharmacists decreased， the pharmacist intervention rate dropped， while the rate of physician modifications following pharmacist intervention increased in the fourth quarter. The primary types of irrational prescriptions identified by the system module rules were irrational PN concentration and osmotic pressure. The primary types of irrational prescriptions identified by the custom review rules were off-label drug use （specifically indications for amino acids） and irrational drug incompatibility. In 2024， the number of false-positive tasks and the false-positive rate initially increased and then decreased， while both the number of irrational prescriptions identified through manual review and the false-negative rate showed a declining trend. In 2024， the overall rationality rate after manual review PN refined medication rules for PN medical order review system significantly increased compared to that in 2023 （P＜0.01）. CONCLUSIONS The refined medication rules for PN in our hospital were established successfully， which can reduce the PN-induced risks and significantly improve the rationality of PN prescriptions.

ObjectiveTo explore the effect and mechanism of Zhishi Xiebai Guizhitang on the progression of atherosclerosis （AS） mice based on the regulation of cholesterol metabolism in foam cells by transient receptor potential channel ankyrin 1 （TRPA1）. MethodThe AS model was established on apolipoprotein E knockout （ApoE^-/-） mice with a high-fat diet. The mice were randomly divided into low-dose， middle-dose， and high-dose groups of Zhishi Xiebai Guizhitang （2.97， 5.94， 11.88 g·kg^-1） and simvastatin group （0.002 g·kg^-1）， and the drug was administered along with a high-fat diet. C57BL/6J mice were fed an ordinary diet as a normal group. After the above process， the aorta and serum of mice were taken. The pathological changes of the aortic root were observed by hematoxylin-eosin （HE） staining. The lipid plaques in the aorta were observed by gross oil redness. Serum levels of total cholesterol （TC）， triglyceride （TG）， low density lipoprotein cholesterol （LDL-C）， and high density lipoprotein cholesterol （HDL-C） were detected， and the levels of interleukin-1β （IL-1β） and interleukin-18 （IL-18） were detected by enzyme-linked immunosorbent assay （ELISA）. Western blot and immunohistochemical method were used to analyze the expression of TRPA1， ATP-binding cassette transporter A1 （ABCA1）， ATP-binding cassette transporter G1 （ABCG1）， and mannose receptor （CD206）. ResultFrom the perspective of drug efficacy， compared with the normal group， pathological changes such as plaque， a large number of foam cells， and cholesterol crystals appeared in the aorta of the model group， and the serum levels of TC， LDL-C， IL-1β， and IL-18 were significantly increased （P<0.01）. The HDL-C level was significantly decreased （P<0.01）， and the CD206 level in aortic tissue was significantly decreased （P<0.01）. Compared with the model group， the lipid deposition in the aorta was alleviated in all drug administration groups. In addition， except for the high-dose group of Zhishi Xiebai Guizhitang， all drug administration groups could significantly decrease the levels of TC and LDL-C （P<0.01）. In terms of inflammation， except for the middle-dose group of Zhishi Xiebai Guizhitang， the levels of IL-1β and IL-18 were significantly decreased in all drug administration groups （P<0.05）. Moreover， Zhishi Xiebai Guizhitang could also up-regulate the levels of CD206， and the difference was significant in the middle-dose and high-dose groups （P<0.05）. From the perspective of mechanism， the expression levels of TRPA1， ABCA1， and ABCG1 in the aorta in the model group were lower than those in the normal group （P<0.05）. Compared with the model group， all drug administration groups significantly increased the expression of TRPA1 in the aorta （P<0.05）， and the expressions of ABCA1 and ABCG1 were increased. The differences in the middle-dose and high-dose groups and the simvastatin group were significant （P<0.05）， which was basically consistent with the trend of immunohistochemical results. ConclusionZhishi Xiebai Guizhitang can effectively reduce blood lipid and inflammation levels and inhibit the formation of aortic plaque. The mechanism may be explained as follows： the expressions of ABCA1 and ABCG1 downstream are increased through TRPA1， which promotes cholesterol outflow in foam cells， thereby regulating cholesterol metabolism， intervening in inflammation level to a certain extent， and finally treating AS.

Osteoporosis （OP） is a common bone disease affecting the quality of life and causing huge medical burden to the patients and society. The occurrence of OP is mainly caused by excessive bone resorption and insufficient bone formation， which are directly influenced by external calcium ion balance. Calcium imbalance can impair bone integrity， reduce the calcium supply to the bone， and lower the calcium content in the bone， thus triggering OP. Drugs are the main anti-OP therapy in modern medicine， which， however， may cause adverse reactions and drug dependence. Chinese medicines have good clinical effects and high safety in treating OP， being suitable for long-term use. Recent studies have shown that Chinese medicines can alleviate estrogen deficiency， regulate bone cell and calcium metabolism， which is crucial for the formation and development of OP. The transient receptor potential cation channel superfamily V members 5 and 6 （TRPV5 and TRPV6， respectively） affect bone homeostasis by mediating the transmembrane calcium ion transport in the intestine （TRPV6） and kidney （TRPV5）. Therefore， TRPV5/6 is one of the key targets to understand the anti-OP mechanisms of the effective parts of Chinese medicines， which is worthy of further study. This paper summarizes the research results about the anti-OP effects of Chinese medicines in the last two decades， especially the mechanism of regulating calcium metabolism， aiming to provide new ideas for the basic research， clinical application， and drug development of OP treatment.

Humans ; Vascular Stiffness ; Coal Mining ; Occupational Diseases/epidemiology* ; Risk Factors ; Coal ; Miners

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.