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 influence of Kruppel-like factor 16 (KLF16) on the proliferation and migration of pancreatic cancer cells.Methods:Immunohistochemical images of KLF16 were collected from 171 pancreatic cancer tissues and their matched paracarcinoma normal pancreas tissues and 8 pancreatic cancer tissues only in GEPIA database. The expression of KLF16 protein was detected by immunohistochemical imaging software. The protein and mRNA expressions of pancreatic cancer cell lines AsPC-1 and MIA PaCa-2 KLF16 were detected by Western blot and quantitative fluorescence PCR. By knockdown or exogenous overexpression of KLF16, the two cells were divided into blank control group (NC group), negative control group (siRNA-NC group), downexpression KLF16 group (siKLF16 group), overexpression control group (OE-NC group) and ovexpression KLF16-OE group (KLF16-OE group). CCK-8 assay, colony formation assay and transwell chamber were used to detect cell proliferation and migration.Results:The KLF16 protein expression level (4.02±1.26 vs 1.73±1.07) and positive expression rate (91.6% vs 13.5%) in pancreatic cancer tissues were significantly higher than those in paracancer normal pancreas tissues, with statistical significance ( P<0.05). After downregulating KLF16 expression and culturing for 24, 48, 72, and 96 hours, the A450 values of both AsPC-1 (0.19±0.02 vs 0.23±0.03, 0.24±0.06 vs 0.36±0.06, 0.45±0.09 vs 0.78±0.10, 0.69±0.04 vs 0.88±0.07) and MIA PaCa-2 cells (0.20±0.03 vs 0.22±0.02, 0.29±0.05 vs 0.31±0.04, 0.47±0.06 vs 0.78±0.10, 0.71±0.02 vs 0.90±0.07) and colony counts [(36±4.32) per well vs (118.51±10.01) per well, (13.6±2.62) per well vs (83.1±9.11) per well], and the number of migrated cells [(16.67±2.05) vs (46.67±5.91), (19.67±1.69) vs (55±4.89)] all decreased significantly. However, after up-regulating the expression of KLF16 and culturing for 24, 48, 72 and 96 h, the A450 value of both AsPC-1 (0.21±0.05 vs 0.20±0.04, 0.48±0.03 vs 0.31±0.04, 0.91±0.09 vs 0.72±0.03, 1.28±0.10 vs 1.05±0.02) and MIA PaCa-2 cells (0.20±0.01 vs 0.19±0.05, 0.44±0.03 vs 0.30±0.04, 0.89±0.06 vs 0.72±0.03, 1.19±0.05 vs 1.01±0.10), and the number of cell colonies [(189±6.37)/per hole vs (108±9.62)/ per hole, (141±12.56)/ per hole vs (80.69±10.32)/ per hole]], migration cell numbers [(79±4.89) per hole vs (50.33±4.11) per hole, (79.66±3.85) per hole vs (51±4.08) per hole] all increased significantly. Conclusions:KLF16 is highly expressed in pancreatic cancer. The up-regulated expression of KLF16 in pancreatic cancer cell lines can promote the proliferation and migration of pancreatic cancer cells.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Aggregatibacter aphrophilus(A.aphrophilus)is a normal bacterial flora in the oropharynx,and rarely causes lumbar spine infection in clinical practice.As fastidious bacteria,A.aphrophilus has high nutritional requirements,thus is difficult to be cultured and identified,and prone to be missed in detection.A.aphrophilus was detected from the blood culture of a patient with lumbar spine infection in a hospital.The anti-infection treat-ment based on detection results for the patient was effective after adjusting antimicrobials.This paper reports a rare case of A.aphrophilus lumbar spine infection with literature reviews.

Endo-periodontal lesions(EPLs)involve both the periodontium and pulp tissue and have complicated etiologies and pathogenic mechanisms,including unique anatomical and microbiological characteristics and multiple contributing factors.This etiological complexity leads to difficulties in determining patient prognosis,posing great challenges in clinical practice.Furthermore,EPL-affected teeth require multidisciplinary therapy,including periodontal therapy,endodontic therapy and others,but there is still much debate about the appropriate timing of periodontal therapy and root canal therapy.By compiling the most recent findings on the etiology,pathogenesis,clinical characteristics,diagnosis,therapy,and prognosis of EPL-affected teeth,this consensus sought to support clinicians in making the best possible treatment decisions based on both biological and clinical evidence.

ObjectiveTo investigate whether the whole intestinal microbiota transplantation in Alzheimer's disease （AD） model mice has more significant effects on ileum intestinal microenvironment in normal mice under the guidance of the theory of traditional Chinese medicine that "interior-exterior relationship exists between the heart and small intestine". MethodsThe whole intestinal microbiota of fourteen 6-month-old specific pathogen free male APP/PS1 double-transgenic AD model mice was transplanted into the gut of six normal C57BL/6J mice of the same age and background treated with mixed antibiotics for 14 days. Then， after 14 days of normal rearing， the mice were sacrificed. Next， the pathological changes in the ileum and colon were observed， and the composition and diversity of the ileal and colonic microbiota was analyzed by sequencing. ResultsAfter the whole intestinal microbiota of AD mice was transplanted into normal mice， pathological analysis showed that only the ileum tissue had mucosal damage and crypt gland epithelial cell degeneration， necrosis， and shedding. Moreover， the microbiota analysis found that only the number of genera （P<0.01）， Chao1 index （P<0.01） and Simpson index of ileal microbiota in normal mice decreased （P<0.01）， and the composition of intestinal microbiota was quite similar to that of AD model mice. ConclusionUnder the effect of whole gut microbiota transplantation in AD mice， the diversity and composition of ileal microbiota change more than that of colonic microbiota in normal mice， and at the same time， it results in pathological damage to the ileal mucosa， indicating that the ileal microenvironment may be more closely related to the occurrence and development of AD， which is highly consistent with the traditional Chinese medicine theory of "interior-exterior relationship between heart and small intestine".