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 observe the clinical efficacy of acupuncture at Front Mu point in the treatment of ulcerative colitis.Methods Sixty patients with ulcerative colitis treated at the Traditional Chinese Medicine Hospital in Kunming from August 2022 to June 2023 were collected.Using a random number table method,30 cases were assigned to each of the control group and the combined group.The treatment method involved administering oral mesalazine to the control group for a continuous period of 8 weeks,while the combined group received both oral mesalazine and acupuncture at front Mu points.The clinical efficacy,colonoscopy results score(Baron score),and colonic mucosal healing score(Geboes)before and after treatment were compared.Follow-up was conducted at 3 months to calculate the recurrence rate in the combination and control groups.Results The total effective rate in the combination group was higher than that in the control group(P<0.05),with rates of 93.33%and 67.67%,respectively.After treatment,the disease activity index,Baron score,and Geboes score decreased compared to before treatment(P<0.05),and the combination group had a lower disease activity index,Baron score,and Geboes score than the control group after treatment(P<0.05).Comparing the recurrence rates at 3 months post-treatment,the combination group was lower than the control group.Conclusion Acupuncture at Front Mu Point can significantly improve the clinical symptoms of ulcerative colitis,reduce the recurrence rate compared to patients in the control group,and is safe and reliable without serious adverse reactions.

OBJECTIVE To mine the adverse drug events （ADE） signals for gilteritinib， and provide a reference for safe drug use in clinic. METHODS ADE reports with gilteritinib as the primary suspected drug were extracted from the FDA Adverse Event Reporting System （FAERS） database from February 1st， 2018 to December 31st， 2023. Reporting odds ratio （ROR） and proportional reporting ratio （PRR） were applied to detect the risk signals from the data in the FAERS database. The classification and statistics of collected signal data were conducted by using the preferred term （PT） and systemic organ class （SOC） in ADE terminology set of the Medical Dictionary for Regulatory Activities （24.1 edition）. RESULTS Totally， 2 755 gilteritinib-related ADE reports were collected from the database， involving 676 ADE signals （95 positive signals）， 313 PTs and 25 SOCs. Among them， nine signals were not recorded in the package insert. The top 5 PTs consisted of abnormal liver function， decreased platelet count， febrile neutropenia， pneumonia and myelosuppression. The top 6 SOCs for positive signal counts were examinations， general disorders and administration site conditions， respiratory， thoracic and mediastinal disorders， infections and infestations， heart organ disorders， and nervous system disorders. ADEs not recorded in the drug package insert included pneumonia， myelosuppression， decreased blood cell count， sepsis， hemorrhage， infection （not specifically referred to）， septic shock， respiratory failure， and aspergillosis. CONCLUSIONS In addition to paying attention to common ADEs such as liver dysfunction and thrombocytopenia， it is necessary to monitor ADEs with strong signals that are not mentioned in the drug instructions when using gefitinib， such as pneumonia， bone marrow suppression， cytopenia， sepsis， bleeding， infection （not specifically referred to）， septic shock， respiratory failure， Aspergillus infection， elevated serum creatinine and interstitial lung disease.

Rare diseases still lack effective treatments, and the development of drugs for rare diseases (known as orphan drugs) is an urgent medical problem. As natural active ingredients in living organisms, some biomacromolecule drugs have good biocompatibility, low immunogenicity, and high targeting. They have become one of the most promising fields in drug research and development in the 21st century. However, there are still many obstacles in terms of in vivo delivery. In view of the unique advantages of nanocarriers prepared from polymers, lipids, organic biomimetic and inorganic materials in drug delivery, researchers are committed to building an efficient delivery system with versatility and synergy to solve the bottleneck issues in treating rare diseases with biomacromolecule drugs. Therefore, this article reviews the research progress of nanocarrier delivering proteins, peptides and nucleic acids in the field of rare disease treatment in the past ten years, which provides ideas for researches on biomacromolecule drug nanosystems in the field of treatment of rare diseases.

Amorphous solid dispersion (ASD) is one of the most effective formulation approaches to enhance the water solubility and oral bioavailability of poorly water-soluble drugs. However, maintenance of physical stability of amorphous drug is one of the main challenges in the development of ASD. Crystallization is a process of nucleation and crystal growth. The nucleation is the key factor that influences the physical stability of the ASD. However, a theoretical framework to describe the way to inhibit the nucleation of amorphous drug is not yet available. We reviewed the methods and theories of nucleation for amorphous drug. Meanwhile, we also summarized the research progress on the mechanism of additives influence on nucleation and environmental factors on nucleation. This review aims to enhance the better understanding mechanism of nucleation of amorphous drug and controlling over the crystal nucleation during the ASD formulation development.

OBJECTIVE To evaluate the cost-effectiveness of ivabradine in the treatment of chronic heart failure （CHF） in the context of “Quadruple Therapy” from the perspective of the health system. METHODS Based on real-world cohort data， the Markov model was constructed according to the natural progression of CHF， with a cycle time of 3 months， a study timeframe of 20 years， and a discount rate of 5%. Using quality-adjusted life year （QALY） and incremental cost-effectiveness ratios （ICER） as the output indexes， the cost-utility analysis was used to evaluate the cost-effectiveness of ivabradine in combination with the “Quadruple Therapy” regimen， compared with the “Quadruple Therapy” regimen for the treatment of CHF， and the robustness of the results of the base analysis was verified by univariate sensitivity analysis and probabilistic sensitivity analysis. RESULTS The results of the base analysis showed that the ICER of ivabradine combined with the “Quadruple Therapy” regimen was 165 065.54 yuan/QALY， compared with the “Quadruple Therapy” regimen， which was lower than the willingness-to-pay （WTP） threshold （257 094 yuan/QALY） based on 3 times of China’s gross domestic product （GDP） per capita in 2022. The results of the univariate sensitivity analysis showed that the discount rate had the greatest impact on the robustness of the model. The probabilistic sensitivity analysis showed that the probability that the ivabradine combined with the “Quadruple Therapy” regimen was cost-effective under the WTP threshold in this study was 59.50%. CONCLUSIONS When using 3 times China’s 2022 GDP per capita （257 094 yuan/ QALY） as the WTP threshold， the combination of ivabradine and the “Quadruple Therapy” regimen for treating CHF is cost- effective.