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.

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

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 study the expression levels of karyopherin β1(KPNB1) and Mer receptor tyrosine kinase (MERTK) in non-small cell lung cancer (NSCLC) tissues and their correlation with clinical pathological features,as well as the prognosis of progression-free survival. Methods A total of 118 NSCLC patients who visited Ordnance Industry 521 Hospital from February 2018 to February 2020 were selected. Immunohistochemical methods were used to detect the expression of KPNB1 and MERTK in NSCLC cancer and paracancer tissue. Kaplan-Meier survival curve analysis was conducted to assess the impact of KPNB1 and MERTK on the progression-free survival prognosis of NSCLC patients. COX regression analysis was performed to identify factors affecting the prognosis of progression-free survival in NSCLC patients. Results The positive rates of KPNB1 (61.02％) and MERTK (62.71％) in cancer tissues were higher than those in adjacent tissues (8.48％,6.78％),and the differences were statistically significant (x2=69.945,81.408,all P<0.001). There was a significant positive correlation between KPNB1 and MERTK expression in the organization (r=0.744,P<0.001). The positive rates of KPNB1(84.21％,82.50％),MERTK (84.21％,85.00％)in NSCLC tissues with lymph node metastasis and TNM stage ⅢA were higher than those without lymph node metastasis(50.00％,52.50％) and TNM stage Ⅰ～Ⅱ(50.00％,51.28％),and the differences were statistically significant (x2=11.078～12.855,all P<0.001). The 3-year progression-free survival rates of KPNB1and MERTK positive and negative groups were 26.39％ (19/72) and 56.52％ (26/46),27.03％ (20/74) and 56.82％ (25/44),respectively,with statistically significant differences (Log Rankx2=0.980,8.463,P=0.001,0.004) . KPNB1 positive,MERTK positive,lymph node metastasis and TNM stage ⅢA were risk factors for progression free survival prognosis in NSCLC patients (waldx2=7.810～10.906,all P<0.001). Conclusion The expression of KPNB1 and MERTK is elevated in NSCLC,both of which are related to TNM staging and lymph node metastasis. They are new biomarkers for evaluating the progression-free survival prognosis of NSCLC.

Objective To investigate the prognostic value of thrombin-antithrombin III complex(TAT),plasmin-α2-plasmin inhibitor complex(PIC),thrombomodulin(TM)and tissue plasminogen activator-inhibitor complex(t-PAIC)in patients with myelodysplastic syndrome(MDS).Methods Selected 88 primary MDS patients diagnosed at the 521 Hospital of Ordnance Industry from January 2018 to January 2021.Plasma levels of TAT,PIC,TM,t-PAIC,fibrin degradation products(FDP)and D-dimer(D-D)were measured.A multivariate approach was used to analyze the association between overall survival(OS)and the levels of each coagulation marker.Coagulation markers significantly associated with OS were used to construct a coagulation prognostic scoring system.Based on the median coagulation marker score,MDS patients were divided into high and low score groups.Kaplan-Meier analysis was used to plot survival curves.Results TAT(OR=1.667),PIC(OR=0.734),TM(OR=1.294)and t-PAIC(OR=1.523)were independent factors influencing OS in MDS patients(Wald χ2=0.671～10.751,all P<0.05).The β-values were integrated as statistical weights to construct a coagulation marker score,calculated as follows:[TAT]×0.502-[PIC]×1.013+[TM]×0.181+[t-PAIC]×0.381.The OS(median 14.6 months)and leukemia free survival(LFS)(median 10.3 months)of patients in the high coagulation marker score group were significantly lower than those in the low score group(33.6 months,35.2 months)(Log rank=20.57,26.84,all P<0.001).Subgroup analysis indicated that in both the low-risk IPSS-R subgroup(very low,low,and intermediate risk)and the high-risk IPSS-R subgroup(high and very high risk),the OS(Log rank=9.12,4.30)and LFS(Log rank=4.54,8.51)of the high coagulation marker score group were lower than those of the low score group(all P<0.05).Bivariate analysis showed a moderate correlation between the coagulation marker score and Revise International Prognostic Scoring System(IPSS-R)(PCC=0.536,P<0.001).Multivariate analysis indicated that IPSS-R and high coagulation marker scores were independent risk factors for OS and LFS in MDS patients(P<0.05).Conclusion The coagulation marker score,based on TAT,PIC,TM and t-PAIC,can serve as an independent prognostic factor for OS and LFS in MDS patients.

In January 2025， the European Society for Medical Oncology （ESMO） released the ESMO clinical practice guideline interim update on the management of biliary tract cancer as a supplementary update to Biliary tract cancer： ESMO clinical practice guideline for diagnosis， treatment and follow-up published in November 2022. This interim update mainly revises the latest evidence-based medical recommendations in the key fields of molecular diagnostics and clinical management since the release of the original guidelines， and it is not a comprehensive update of the entire document. This article summarizes and makes an excerpt of the new recommendations from this interim update.

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.

Liver cirrhosis is a common chronic progressive liver disease， and such patients often have coagulation disorders， which may lead to thrombotic and hemorrhagic events. While traditional anticoagulant therapies have various limitations， the emergence of novel oral anticoagulants （NOAC） provides new options for anticoagulation treatment in patients with liver cirrhosis. This article comprehensively reviews the application of NOAC in patients with liver cirrhosis， discusses their advantages and potential risks， analyzes their pharmacokinetic and pharmacodynamic characteristics， and evaluates their efficacy and safety in the prevention and treatment of cirrhosis-associated thrombosis based on clinical evidence， in order to provide a reference for clinical decision-making.