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.

Medical illustration and medical imaging are both indispensable components of comprehensive medical images. This paper elucidated the cognitive components of traditional medical illustration and compared the differences between China and the West in this regard. Specifically， Western medical illustration since the Renaissance and the Scientific Revolution has exhibited characteristics of mechanism， reductionism， and individualism， while traditional Chinese medical illustration， including the “Confucian medicine” culture represented by Neo-Confucianism since the Tang and Song dynasties， has been characterized by the complementarity of yin and yang， harmony， and holism. This paper further summarized the humanistic elements of medical illustration， revealing that traditional Western medical illustration has a tendency towards individualistic humanistic care， whereas the humanistic care of Chinese medical illustration has the characteristics of familism. By introducing contemporary medical imaging， it was pointed out that it was superior to medical illustration in terms of cognitive science， but it lacked the values of humanistic care. Meanwhile， the development of individual liberalism in contemporary Western medical illustration and the familistic characteristics of contemporary Chinese medical illustration were highlighted. It was also suggested that appropriate medical humanistic care should be maintained and developed in the era of medical imaging with the rapid development of artificial intelligence.

Objective: To investigate the safety and feasibility of transurethral blue laser vaporization of the prostate (BVP) under intravenous anesthesia without intubation. Methods: Clinical data of 30 benign prostatic hyperplasia (BPH) (prostate volume <40 mL) patients undergoing BVP under intravenous anesthesia without intubation in our hospital during Jul.and Nov.2024 were retrospectively analyzed.Preoperative and 1-month postoperative international prostate symptom score (IPSS), quality of life score (QoL), maximum urinary flow rate (Qmax), and postvoid residual volume (PVR) were compared.The operation time, cumulative blue laser activation time, recovery time, postoperative bladder irrigation time, postoperative catheter indwelling time, postoperative 2-hour visual analog scale (VAS) score and incidence of surgical and anesthetic complications were recorded. Results: All 30 patients successfully completed BVP under intravenous anesthesia without intubation.The operation time was (12.5±5.0) min, cumulative laser activation time (9.8±4.1) min, recovery time (6.8±1.2) min, postoperative bladder irrigation time (11.0±4.6) h, postoperative catheter indwelling time (2.7±1.1) days and postoperative 2-hour VAS score was (3.0±1.3).No cases required conversion to intubated general anesthesia, and no severe perioperative surgical or anesthetic complications occurred.Significant improvements in IPSS, QoL, Qmax, and PVR were observed 1 month postoperatively (P＜0.001). Conclusion: BVP under intravenous anesthesia without intubation in the treatment of prostate volume <40 mL BPH is clinically feasible, significantly improving lower urinary tract symptoms without significant surgical or anesthetic complications.

To address the throughput limitations of digital nucleic acid analysis,a tricolor combination-based droplet coding technique was developed to achieve multiplex digital nucleic acid analysis with flexible throughput expansibility.To improve the analysis efficiency,a machine learning-based method was further developed for automatic decoding of color-coded droplet array.The machine learning algorithm empowered the computer program to automatically extract the color-position-quantity information of the droplets.By correlating this color-position-quantity of droplets before and after nucleic acid amplification,the proportion of positive droplets for each target was rapidly determined.This droplet decoding strategy was applied to multiplex digital nucleic acid analysis.The experimental results demonstrated that this droplet decoding method was fast and accurate,with a decoding process completed within 2 min.Furthermore,the droplet identification accuracy exceeded 99%.Additionally,the obtained nucleic acid quantification results exhibited a good correlation(R2＞0.99)with those reported by a commercial digital PCR instrument.

Objective To investigate the effect and mechanism of pomalidomide(POM)on airway inflammation and mucus hypersecretion in rats with chronic obstructive pulmonary disease(COPD).Methods Thirty-six SD rats were randomly divided into control group,model group and POM group,with 12 in each group,half male and half female.The COPD model was established by smoke exposure combined with Klebsiella pneumoniae infection in model group and POM group.The rats in POM group were treated with POM(0.5 mg/kg,once a day for 1 week).The lung function,lung tissue pathology,the proportion of inflammatory cells in bronchoalveolar lavage fluid(BALF)and the levels of serum inflammatory factors tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,IL-6 and IL-13 were observed and detected in each group.AB-PAS staining and immunohistochemistry were used to analyze the proliferation of goblet cells and the secretion of mucin(MUC)5AC and MUC5B in airway epithelium of rats.The expression levels of TNF-α receptor 1(TNFR1),IκB kinase(IKK),phosphorylated IKK(p-IKK)and P65 protein in lung tissue were detected by Western blotting.Results Compared with control group,model group showed significant decreased of tidal volume(TV),minute ventilation(MV),forced expiratory vital capacity(FVC),0.1s forced expiratory volume(FEV0.1)and 0.3 s forced expiratory volume(FEV0.3)(P<0.05),increased of the mean linear intercept(MLI)of the alveoli(P<0.01),decreased of the mean alveolar number(MAN)(P<0.01),increased of the proportion of neutrophils and lymphocytes in BALF sediment(P<0.05),and decreased of the proportion of macrophages in BALF sediment(P<0.01);increased of the levels of serum inflammatory factors TNF-α,IL-1β,IL-13 and IL-6(P<0.05),the proportion of goblet cells in airway epithelium(P<0.01),the secretion of MUC5AC and MUC5B in lung tissue(P<0.01),the content of TNFR1 and the ratio of p-IKK/IKK(P<0.01),the content of P65 in nucleus(P<0.01);and decreased of the content of P65 in cytoplasm(P<0.05).Compared with model group,after one week of POM treatment,POM group showed significant improved of the TV,MV,FVC,FEV0.1,FEV0.3,MLI and MAN of rats(P<0.05);decreased of the proportion of neutrophils and lymphocytes in BALF(P<0.05);increased of the proportion of macrophages(P<0.01);decreased of the levels of serum TNF-α,IL-1β,IL-6 and IL-13(P<0.05),the proportion of goblet cells in airway(P<0.01),the secretion of MUC5AC and MUC5B(P<0.01),and the expression of TNFR1,P-IKK and P65(nucleus)(P<0.05);and increased of the level of P65(cytoplasm)(P<0.01).Conclusions POM can improve airway inflammation and mucus hypersecretion in COPD rats,which may be achieved by inhibiting TNF-α/NF-κB signaling pathway.

From the perspectives of traditional Chinese medicine （TCM） information knowledge base and assisted decision-making knowledge base， the construction status， quality evaluation status and existing problems of current TCM knowledge bases have been sorted out. And based on the quality evaluation strategies and dimensions of know-ledge bases in other disciplines， the evaluation indexes for TCM knowledge base is discussed， and the evaluation framework is initially formed， providing ideas for the improvement of the TCM knowledge base evaluation system. In terms of the evaluation indexes， there are basic evaluation dimensions which include data sources， data collection， and data application. The specific evaluation dimension of the information-based knowledge base is data quality， while that of the assisted decision-making knowledge base is data matching. Except for the data application dimension which counts the valid data items in the database for calculation， other indexes are scored based on the qualitative evaluation of "yes"， "no" or "unknown". The basic evaluation score and the specific evaluation score are added to obtain the total score. The knowledge base is graded according to the score， and the results are presented in the form of grade plus number.