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.

ObjectiveIn nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting. MethodsVisual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions. ResultsBehavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance). ConclusionNeurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.

Objective:To investigate the efficacy and safety of daratumumab based regimens in relapse and/or refractory multiple myeloma(RRMM)in the real world,as well as the impact of daratumumab on stem cell collection and engraftment.Methods:The clinical data of patients with RRMM who received daratumumab in hematology department of the First Affiliated Hospital of Xiamen University from February 2019 to March 2023 and had evaluable efficacy were retrospective analysis.Results:All 43 RRMM patients were treated with daratumumab-based combination regimens,including Dd,DVd,DRd,Dkd,DId,and Dara-DECP.With median follow-up time 10.1(2.1-36.6)months,the best overall response rate(ORR)was 74.4％and a best complete response rate(CR)was 25.6％.1-year overall survival rate(OS)was 84.5％.The most common severe hematologic adverse events(Grade＞3)are 3/4 grade leukopenia(18.6％),and the most common severe non-hematologic adverse events were infusion-related reactions(IRRs,20.9％)and infections(7.0％).Multivariate prognostic analysis showed that extramedullary infiltration was an independent adverse prognostic factor affecting OS(P=0.004).The use of daratumumab has no effect on stem cell collection,or engraftment.Conclusion:Daratumumab is safe and effective in RRMM.

Objective:To explore the diagnosis and treatment of acquired hemophilia A (AHA ) based on the analysis of clinical data.Methods:A retrospective analysis was conducted on the clinical manifestations,laboratory characteristics,treatment,and outcomes of 25 patients diagnosed with AHA who were admitted to the Second Hospital of Hebei Medical University. Results:Among all patients,11 cases had secondary factors,including 5 cases of autoimmune diseases,3 cases of pregnancy-related disease,1 case of pemphigoid,1 case of Graves'disease,and 1 case of monoclonal gammaglobulinemia of unknown significance (MGUS ).The bleeding sites include the skin,mucous membrane,muscle,joint cavity and brain tissue.Twenty-three patients were treated with prednisone combined with cyclophosphamide (CP regimen),one patient with rituximab combined with cyclophosphamide because of femoral head necrosis,and one case with rituximab monotherapy because of gastrointestinal bleeding after prednisone treatment. Among them,23 cases achieved complete remission (CR),2 cases were partial remission (PR),and 8 cases relapsed after CR.All of 10 patients including 2 cases with PR and 8 relapsed cases after CR were treated with rituximab.At last,8 patients achieved CR,and 2 patients (both were patients with recurrence after first CR)achieved PR.These two patients achieving PR were treated with low-dose rituximab combined with bortezomib (RB regimen ).One patient reached CR after 4 cycles and the other reached CR after 6 cycles of RB regimen.After CR,4 of the 10 patients treated with rituximab received maintenance therapy with rituximab monotherapy for 1.5 to 2 years,in which,none of them relapsed.Among the 6 patients who did not receive maintenance therapy,4 patients relapsed after CR,and the median time to relapse was 15 months.Eight patients treated with CP regimen developed common infections,and two patients treated with rituximab developed severe pneumonia.All 25 patients survived until the end of follow-up.Conclusion:Skin ecchymosis,mucous hemorrhage and muscle hematoma are the most common hemorrhagic manifestations in AHA,and joint hemorrhage and cerebral hemorrhage can also occur.CP regimen is the preferred option of first-line therapy for AHA.Rituximab can be used for patients with steroid contraindication or who failed to respond to the above therapy or relapsed after effective treatment,and maintenance therapy is recommended to reduce the risk of recurrence.Meanwhile,close attention should be paid to the occurrence of infection events during rituximab treatment.Rituximab in combination with bortezomib can also be used in patients with refractory or relapsing AHA.

Objective:To clarify the causal relationship between obesity and male infertility through Mendelian randomization(MR)study.Methods:We assessed the causal effect of genetically predicted body mass index(BMI)on the risk of male infertility via a two-sample MR analysis,with the BMIs of 99 998 cases and 12 746 controls as the exposure factor and genetic information on male infertility obtained from a genome-wide association study of 73 479 Europeans.In the univariable MR(UVMR)analysis of the causal relationship,we mainly used inverse variance weighting(IVW),with MR-Egger regression and weighted median filtering as the supplementary methods.Sensitivity analyses including the Cochran's Q test,Egger intercept test,MR-PRESSO,leave-one-out analysis and funnel plot were performed to verify the robustness of the MR results.To evaluate the direct causal effects of BMI on MI risk,mult-ivariable MR(MVMR)was performed.Results:UVMR indicated a causal relationship between genetically predicted BMI and an in-creased risk of male infertility(OR:1.237,95%CI:1.090-1.404,P=0.001).Sensitivity analysis revealed little evidence of bias in the current study(P>0.05).With such risk factors as type 2 diabetes,alcohol consumption and smoking adjusted,MVMR confirmed a direct causal effect of genetically predicted BMI on the risk of male infertility(P<0.05).Conclusion:Genetically pre-dicted BMI may be associated with an increased risk of male infertility.Further studies are expected to explore the underlying mecha-nisms of this association and provide some new strategies for the prevention and treatment of BMI-related male infertility.

AIM To study the Chemical constituents from Rhinacanthus nasutus(L.)Kurz and their in vitro antitumor and lipid-lowering activities.METHODS The ethyl acetate fraction from R.nasutus was isolated and purified by normal phase,reverse phase silica gel column and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The in vitro anti-tumor activity was determined by MTT assay,and the in vitro lipid-lowering activity was evaluated by oleic acid-induced HepG2 high-fat cell model.RESULTS Twenty compounds were isolated and identified as rhinacanthin A(1),rhinacanthin B(2),rhinacanthin C(3),rhinacanthin D(4),rhinacanthin E(5),rhinacanthin M(6),rhinacanthin N(7),rhinacanthin Q(8),rhinacanthin T(9),rhinacanthone(10),β-sitosterol(11),gallic acid(12),vanillic acid(13),syringic acid(14),lapachol(15),umbelliferone(16),sambucunlin A(17),17α,21-dihydroxy-1,4-pregnadiene-3,11,20-trione,21-acetate(18),1,8-dihydroxyanthraquinone(19),2,6-dimethoxy-1,4-benzoquinone(20).Compounds 3 and 7 inhibited the proliferation of HepG2,Hela,A549 and H22 tumor cells with IC50 values of(0.66±0.17)-(3.22±0.49)μmol/L in a time-and concentration-dependent manner.Compounds 3,7 and 9 had a lipid clearance rate of more than 50%in oleic acid-induced HepG2 high-fat cells.CONCLUSION Compounds 16-20 are isolated from this plant for the first time.Compounds 3 and 7 have good in vitro anti-tumor activities,and 3,7,9 have good in vitro lipid-lowering activities.