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 The volume and cortical thickness of gray matter in patients with multiple sclerosis (MS) and neuromyelitis optica (NMO) were compared and analyzed by voxel⁃based morphometry (VBM) and surface⁃based morphometry (SBM), and the differences in the structural changes of gray matter in the two diseases were discussed. Methods A total of 21 MS patients, 16 NMO patients and 19 healthy controls were scanned by routine MRI sequence. The data were processed and analyzed by VBM and SBM method based on the statistical parameter tool SPM12 of Matlab2014a platform and the small tool CAT12 under SPM12. Results Compared with the normal control group (NC), after Gaussian random field (GRF) correction, the gray matter volume in MS group was significantly reduced in left superior occipital, left cuneus, left calcarine, left precuneus, left postcentral, left central paracentral lobule, right cuneus, left middle frontal, left superior frontal and left superior medial frontal (P<0. 05). After family wise error (FWE) correction, the thickness of left paracentral, left superiorfrontal and left precuneus cortex in MS group was significantly reduced (P<0. 05). Compared with the NC group, after GRF correction, the gray matter volume in the left postcentral, left precentral, left inferior parietal, right precentral and right middle frontal in NMO group was significantly increased (P<0. 05). In NMO group, the volume of gray matter in left middle occipital, left superior occipital, left inferior temporal, right middle occipital, left superior frontal orbital, right middle cingulum, left anterior cingulum, right angular and left precuneus were significantly decreased (P<0. 05). Brain regions showed no significant differences in cortical thickness between NMO groups after FWE correction. Compared with the NMO group, after GRF correction, the gray matter volume in the right fusiform and right middle frontal in MS group was increased significantly(P<0. 05). In MS group, the gray matter volume of left thalamus, left pallidum, left precentral, left middle frontal, left middle temporal, right pallidum, left inferior parietal and right superior parietal were significantly decreased (P<0. 05). After FWE correction, the thickness of left inferiorparietal, left superiorparietal, left supramarginal, left paracentral, left superiorfrontal and left precuneus cortex in MS group decreased significantly (P<0. 05). Conclusion The atrophy of brain gray matter structure in MS patients mainly involves the left parietal region, while NMO patients are not sensitive to the change of brain gray matter structure. The significant difference in brain gray matter volume between MS patients and NMO patients is mainly located in the deep cerebral nucleus mass.

Objective:To investigate effects of mesalazine(MS)on proliferation,apoptosis and inflammatory injury of cell model of ulcerative colitis(UC)induced by lipopolysaccharide(LPS),as well as transforming growth factor-β1(TGF-β1)/Smad signaling pathway effect in this study.Methods:Human colonic epithelial cells NCM-460 cultured in vitro were induced UC model by LPS,and divided into Con group(no treatment),LPS group(1 mg/L LPS),MS group(0.1,0.2,0.4 mg/L MS+1 mg/L LPS)and inhibitor group(10 μmol/L TGF-β1/Smad signaling pathway inhibitor LY2109761+0.2 mg/L MS+1 mg/L LPS).Cell morphology,proliferation,apoptosis and levels of inflammatory factors and TGF-β1/Smad pathway-related markers were examined by inverted microscope,EdU assay,Hoechst 33258 staining,ELISA and Western blot.Results:LPS treatment highly induced cell proliferation rate and Smad7 pro-tein level compared with Con group,while apoptotic cells,inflammatory factors TNF-α and IL-6,soluble interleukin-2 receptor(sIL-2R)release,as well as TGF-β1,p-Smad2,p-Smad3 protein expressions were increased;the above effects induced by LPS was reversed by MS in a dose-dependent manner(P<0.05).Compared with 0.2 mg/L MS group,NCM-460 cells proliferation rate and Smad7 expression were increased,while apoptotic cells,TNF-α and IL-6,sIL-2R releases,and TGF-β1,p-Smad2,p-Smad3 protein expressions were decreased(P<0.05).Conclusion:MS can attenuate LPS-induced apoptosis and inflammatory injury in NCM-460 cells,and this protection was possibly through suppressing TGF-β1/Smad signaling pathway.

AIM To investigate the effect of Wendan Decoction on nerve injury in a mouse model of sleep disorders and its mechanism.METHODS A mouse model of insomnia was established by the modified multiple platform sleep deprivation method.After successful modeling,the mice were randomly divided into the model group,the estazolam tablet group(0.15 mg/kg)and the low-dose and high-dose Wendan Decoction groups(12.5,50 g/kg),with 6 mice in each group,in contrast to the 6 mice of the control group.After 7 days of drug intervention,the mice had their changes of cerebral cortex,hippocampal CA1 area and hypothalamus observed by HE staining;their neuronal damage observed by Nissl staining;their levels of neurofilament light chain(NEFL),neuron-specific enolase(NSE),S100 calcium-binding protein B(S100B),tumor necrosis factor(TNF-α),interleukin-6(IL-6)and interleukin-1β(IL-1β)in brain tissue and serum detected by ELISA;their cerebral expression of glial fibrillary acidic protein(GFAP)detected by immunohistochemical method;and their cerebral expressions of GFAP,phosphorylated IκB kinase β(p-IKKβ)and phosphorylated nuclear transcription factor-κB(p-NF-κB)detected by Western blot.RESULTS Compared with the model group,the high-dose Wendan Decoction group displayed increased number of neurons,complete and neatly arranged structure;decreased number of neurons with nuclear shrinkage and deformation;increased Nissl bodies,decreased levels of NEFL,NSE,S100B,TNF-α,IL-6 and IL-1β in serum and brain tissue(P＜0.01);decreased cerebral expression of GFAP(P＜0.01);and decreased phosphorylation levels of cerebral p-IKKβ and p-NF-κB(P＜0.01).CONCLUSION Wendan Decoction can reduce the nerve damage and the expression of proinflammatory mediator in sleep disorders mice,and the mechanism may be related to the inhibited activation of IKKβ/NF-κB pathway.

Objective:To analyze the equity of Traditional Chinese medicine(TCM)human resource allocation across 31 provinces in China and explore its influencing pathways,aiming to provide scientific reference for optimizing the allocation of TCM human resources.Methods:The Health Resource Density Index(HRDI)was employed to measure the equity of TCM human resource allocation in China,and the fuzzy-set qualitative comparative analysis(fsQCA)was utilized to explore the configurational pathways influencing this equity.Results:Based on the data from 2021,the HRDI of TCM human resources in China exhibited significant regional disparities,manifesting as a distribution pattern of"high in the east and low in the west."Three pathways promoting high equity were identified:the internal-external balance-driven pathway(H1),the economy-demand co-driven pathway(H2),and the government-led driving pathway(H3).Meanwhile,three pathways leading to low equity were also recognized:the economy-demand constraint pathway(L1)and the internal-external constraint pathways(L2、L3).Conclusion:There are notable regional disparities in the equity of TCM human resource allocation in China,with multiple factors jointly influencing this equity,among which population density serves as a core factor.In subsequent efforts to enhance equity,it is advisable to consider optimizing the synergies among multiple factors and implementing precise policies for different regions to promote efficient allocation and balanced development of TCM human resources.

Objective:To establish a graded method to avoid mean fluorescence intensity(MFI)threshold of HLA Class I antibodies corresponding antigen,and the HLAMatchmaker program has been used to select the minimum mismatch value of donor-patient epitopes.Evaluate the application value of combining both methods in selecting HLA compatible platelets(PTL)for patients with immune platelet transfusion failure(IPTR)in improving platelet the corrected count increment(CCI).Methods:A total 7 807 PLT cross-matching compatible were performed by the solid-phase red cell adherence(SPRCA)method for 51 IPTR patients.The Luminex single antigen flow cytometry was used to detect HLA Class I antibodies in patients,and detected the MFI value for different specificity antigens of HLA Class I antibodies,was graded into strong positive group(MFI＞4 000,level 1),medium positive group(1 000＜MFI 4 000,2),weak positive group(500＜MFI≤1 000,3),and one negative control group(MFI≤500).The results of 7 807 SPRCA their negative/positive reaction wells were enrolled and statistically analyzed in different grades and the four groups,the statistical differences between the four groups were compared.Multiple applications for the select HLA Class I compatible donor events were made for patients in two cases,and HLAMatchmaker program was used to calculate the number of HLA Class I epitopes mismatches between the donors and patients.The donor with the minimum number of epitopes mismatches was selected,while avoiding the corresponding antigens of HLA Class I antibodies in levels 1 and 2,the provision of HLA compatible platelets for IPTR.After the transfusions,the CCI value of the platelet transfusion efficacy evaluation index was calculated,and the clinical evaluation of the transfusion effect was obtained through statistical analysis.Results:There were statistically significant differences in the positive results of SPRCA immunoassay among the strong positive group,medium positive group,and weak positive group of 51 IPTR patients with different specific of HLA-I class antibodies and corresponding antigens(all P＜0.001).The positive results showed a range from high to low,with strong positive group＞medium positive group＞weak positive group.There were a statistical difference among between the strongly positive or moderately positive groups and the negative control group(P＜0.001).There was no statistical difference between the weakly positive group and the negative control group(P＞0.05).The strong positive group was set as the corresponding specific HLA Class I site corresponding antigen grade 1 avoidance threshold,the medium positive group as the grade 2 avoidance thresholds,and the weak positive group as the grade 3 avoidance threshold.In the case of donor platelet shortage,it is not necessary to avoid the weak positive group.Avoiding the strategy of donor antigens and HLAMatchmaker program scores≤7 corresponding to HLA Class I antibodies of levels 1 and 2,with CCI values＞4.5 × 109/L within 24 hours,can obtain effective clinical platelet transfusion conclusions.Conclusion:When selecting HLA Class I compatible donors for IPTR patients,the grading avoids HLA Class I antibodies corresponding to donor antigens,and the donor selection strategy with the minimum scores of HLAMatchmaker program is comprehensively selected.The negative result confirmed by platelet cross-matching experiments has certain practical application value for improving platelet count in IPTR patients.