With the rapid advancement of medical technology and the increasing complexity of clinical environments, competence in clinical ethical decision-making has become an indispensable core competency for exemplary physicians. However, traditional medical ethics education has long been confronted with the persistent challenges of theory-practice dissociation and the disconnect between pedagogical settings and clinical realities. Thus, how to construct a "Clinical Ethics" curriculum that aligns with the objectives of training high-caliber medical professionals has emerged as a critical and challenging issue in current medical education reform. To effectively address this challenge, the Office of Education at Peking University Third Hospital, since 2021, has assembled a multidisciplinary "Clinical Ethics" teaching and management team comprising faculty from Peking University School of Humanities and key clinical specialists from the hospital. In 2022, the "Clinical Ethics" elective course was formally launched for fourth-year students in the eight-year MD program who had completed coursework in "Medical Ethics" and organ-system-based curricula, with the aim of exploring and operationalizing a pre-clinical ethics education model tailored for senior medical students. The course employs a modular instructional design encompassing "theoretical review-case-based deliberation-clinical workshop", which effectively facilitates the deep integration of medical humanities with clinical practice.Following four years of iterative refinement through the "plan-act-observe-reflect" cycle, the course has demonstrated positive outcomes in enhancing students' ethical awareness and decision-making capabilities, and has preliminarily established a sustainable collaborative mechanism among the multidisciplinary faculty team. This article systematically delineates the course development background, pedagogical model and methodological innovations, and the multidisciplinary collaborative framework, alongside reflections and summaries based on implementation outcomes, with the intent of providing references for the future development of "Clinical Ethics" curricula.

Objective:Exploring the efficacy and safety of the combination of programmed cell death protein 1 (PD-1) inhibitors with chemotherapy for the treatment of local recurrence at the primary tumor site of esophageal squamous cell carcinoma (ESCC) following definitive chemoradiotherapy.Methods:Seventy-six patients with local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy, who were treated at the Cancer Hospital Affiliated with Nanjing Medical University from January 2019 to January 2024. All patients received treatment with a PD-1 inhibitor combined with chemotherapy, and the short-term efficacy, long-term efficacy, and adverse reactions were observed. Univariate and multivariate Cox regression models were employed to identify the factors influencing overall survival (OS) and after-recurrence survival (ARS).Results:Among the 76 patients, 7 achieved partial response, 35 had stable disease, and 34 experienced progressive disease. The objective response rate was 9.2% (7/76), and the disease control rate was 55.3% (42/76). With a median follow-up time of 23.1 months, 33 out of 76 patients died. The median survival time was 38.5 months (95% CI: 29.6-47.3 months); the 1-year, 2-year, and 3-year OS were 94.5%, 66.6%, and 51.7%, respectively. The median ARS was 14.7 months (95% CI: 10.4-19.1 months); the 6-month, 12-month, and 24-month ARS were 85.8%, 59.6%, and 25.7%, respectively. Univariate analysis showed that the initial radiation dose, the Eastern Cooperative Oncology Group (ECOG) performance status of patients after recurrence, the recurrence-free interval (RFI), and the approach to chemotherapy treatment following local esophageal recurrence were factors affecting OS and ARS ( P＜0.05). Multivariate analysis showed that initial radiotherapy dose ( HR=0.268, 95% CI: 0.100-0.720), the ECOG performance status after recurrence ( HR=4.106, 95% CI: 1.228-13.728), and RFI ( HR=0.248, 95% CI: 0.106-0.582) were independent prognostic factors for OS. Additionally, the initial radiation dose ( HR=0.289, 95% CI: 0.098-0.853) and the ECOG performance status after recurrence ( HR=5.143,95% CI:1.404-18.838) were independent prognostic factors for ARS. The incidence of treatment-related adverse-reactions was 85.5% (65/76). Grade 3 or higher treatment-related adverse reactions primarily included anemia in 4 cases, leukopenia in 8 cases, neutropenia in 9 cases, thrombocytopenia in 2 cases, liver function abnormalities in 4 cases, and elevated troponin T in 2 cases. There were no cases of treatment-related mortality. Conclusions:The combination of PD-1 inhibitors with chemotherapy is safe and effective for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy and can provide survival benefits for patients. This approach can be considered as a therapeutic option for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy.

Objective:To construct fused cancer cell/neutrophil membrane-coated polydopamine nanoparticles chelated with manganese ions (Ⅱ) (PMNP@FMs) and explore the potential for targeted pancreatic cancer fluorescence imaging and MRI.Methods:Cancer cell membranes fused with neutrophil membranes were encapsulated on the surface of polydopamine nanoparticles chelated with manganese ions (Ⅱ) (PMNPs) to prepare PMNP@FMs. The morphology, structure, and MRI performance of the product were characterized. The cytotoxicity of PMNP@FMs towards human pancreatic cancer cells (PANC-1) and normal human pancreatic ductal epithelial cells (hTERT-HPNE) was evaluated using cell counting kit (CCK)-8, and in vivo toxicity was assessed in healthy mice. PANC-1 pancreatic cancer xenograft nude mouse models were established for in vivo fluorescence imaging and MRI. Data were analyzed using the independent-sample t test, repeated measures analysis of variance and the least significance difference method. Results:PMNP@FMs exhibited a core-shell structure with a diameter of (112.81±8.64) nm, negative surface charge, and good dispersibility. The T 1 relaxivity of PMNPs was 18.81±0.22, which was 4.1 times higher than that of gadopentetate dimeglumine (Gd-DTPA) (4.55±0.24; t=75.54, P<0.001). Co-culture of PMNPs and PMNP@FMs with hTERT-HPNE and PANC-1 cells for 24 h resulted in cell viability above 90% within the concentration range of 0-500 μg/ml. PMNP@FMs did not affect mouse survival and showed no apparent organ damage. In vivo fluorescence imaging and MRI revealed that PMNP@FMs accumulated highly in tumors and reached the peak 24 h post intravenous administration (relative MR signal: 1.35±0.01, fluorescence intensity: (1.20±0.25)×10 10), surpassing the peak observed in the control group (1.22±0.01, (3.87±0.50)×10 9;F values: 11.03-188.01, t values: 18.20, 5.64, all P<0.05), with hepatic metabolism being the primary route of clearance. Conclusion:PMNP@FMs demonstrate a potential for targeted pancreatic cancer fluorescence imaging and MRI, offering promising prospect for precise diagnosis of early-stage pancreatic cancer.

Objective To investigate the potential value of a deep learning(DL)model based on non-contrast CT images in predicting contrast medium extravasation in contrast-enhanced CT scans of tumor patients.Methods A total of 298 tumor patients were retrospectively selected,including 90 patients with extravasation and 208 without extravasation,and divided into training set(207 patients),validation set(46 patients),and external test set(45 patients)in a ratio of 7︰1.5︰1.5.U-Net was employed to segment the right common carotid artery/internal jugular vein and right subclavian artery/vein in non-contrast CT images,and ResNet50 was utilized to extract imaging features to construct the DL model,which was subsequently integrated with independent clinical predictors to establish the combined model.The segmentation performance of the DL model was evaluated using Dice similarity coefficient(DSC)and Intersection over Union(IoU),while the area under the curve(AUC),accuracy,sensitivity,and specificity of the model were calculated.Results The DL model demonstrated superior vascular segmentation(DSC 0.81-0.95,IoU 0.79-0.90).The combined model achieved optimal predictive performance,with AUC of 0.961[95%confidence interval(CI)0.924-0.983],0.949(95%CI 0.840-0.992),and 0.891(95%CI 0.762-0.964)in the training,validation,and external test sets,respectively.Its accuracy,sensitivity,and specificity were consistently higher than those of the standalone clinical model.Conclusion The DL model based on non-contrast CT images shows significant potential value in predicting contrast medium extravasation risk in tumor patients,providing an objective and intelligent tool for clinical risk assessment.

Objective To investigate the expression changes and clinical significance of serum pepsinogen(PG)and triggering receptor expressed on myeloid cells-1(TREM-1)in patients with reflux esophagitis(RE).Methods A total of 140 patients with RE who were treated from October 2021 to October 2023 were selected as the observation group,and 140 healthy adults who underwent physical examination during the same period were selected as the control group.Serum PG(PGⅠ and PGⅡ)and TREM-1 were detected by ELISA.Multivariate logistic regression was used to analyze the influencing factors of RE.Receiver operating characteristic(ROC)was used to analyze the diagnostic efficacy of serum PGⅠ,PGⅡ and TREM-1 levels for RE.Results The levels of interleukin(IL)-2,IL-6,Il-1β,PGⅡ,TREM-1 and tumor necrosis factor-α(TNF-α)in the observation group were significantly higher than those in the control group,while the level of PGⅠ was significantly lower than that in the control group(P<0.01).Serum IL-2,IL-6,IL-1β,TNF-α,PGⅡ and TREM-1 were risk factors for RE,while serum PGⅠ was a protective factor for RE(P<0.01).ROC curve analysis showed that the area under the ROC curve(AUC)of combined detection of PGⅠ,PGⅡ and TREM-1 in the diagnosis of RE was significantly higher than that of PGⅠ alone(Z=5.940,P<0.001)and PGⅡ alone(Z=6.764,P<0.001)and TREM-1 alone(Z=6.791,P<0.001).Conclusion The expression levels of serum PGⅡ and TREM-1 in patients with RE are increased,while the expression level of PGⅠ is decreased.The combined detection of the three can improve the diagnostic efficacy of RE.

Objective:To construct fused cancer cell/neutrophil membrane-coated polydopamine nanoparticles chelated with manganese ions (Ⅱ) (PMNP@FMs) and explore the potential for targeted pancreatic cancer fluorescence imaging and MRI.Methods:Cancer cell membranes fused with neutrophil membranes were encapsulated on the surface of polydopamine nanoparticles chelated with manganese ions (Ⅱ) (PMNPs) to prepare PMNP@FMs. The morphology, structure, and MRI performance of the product were characterized. The cytotoxicity of PMNP@FMs towards human pancreatic cancer cells (PANC-1) and normal human pancreatic ductal epithelial cells (hTERT-HPNE) was evaluated using cell counting kit (CCK)-8, and in vivo toxicity was assessed in healthy mice. PANC-1 pancreatic cancer xenograft nude mouse models were established for in vivo fluorescence imaging and MRI. Data were analyzed using the independent-sample t test, repeated measures analysis of variance and the least significance difference method. Results:PMNP@FMs exhibited a core-shell structure with a diameter of (112.81±8.64) nm, negative surface charge, and good dispersibility. The T 1 relaxivity of PMNPs was 18.81±0.22, which was 4.1 times higher than that of gadopentetate dimeglumine (Gd-DTPA) (4.55±0.24; t=75.54, P<0.001). Co-culture of PMNPs and PMNP@FMs with hTERT-HPNE and PANC-1 cells for 24 h resulted in cell viability above 90% within the concentration range of 0-500 μg/ml. PMNP@FMs did not affect mouse survival and showed no apparent organ damage. In vivo fluorescence imaging and MRI revealed that PMNP@FMs accumulated highly in tumors and reached the peak 24 h post intravenous administration (relative MR signal: 1.35±0.01, fluorescence intensity: (1.20±0.25)×10 10), surpassing the peak observed in the control group (1.22±0.01, (3.87±0.50)×10 9;F values: 11.03-188.01, t values: 18.20, 5.64, all P<0.05), with hepatic metabolism being the primary route of clearance. Conclusion:PMNP@FMs demonstrate a potential for targeted pancreatic cancer fluorescence imaging and MRI, offering promising prospect for precise diagnosis of early-stage pancreatic cancer.

Objective:Exploring the efficacy and safety of the combination of programmed cell death protein 1 (PD-1) inhibitors with chemotherapy for the treatment of local recurrence at the primary tumor site of esophageal squamous cell carcinoma (ESCC) following definitive chemoradiotherapy.Methods:Seventy-six patients with local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy, who were treated at the Cancer Hospital Affiliated with Nanjing Medical University from January 2019 to January 2024. All patients received treatment with a PD-1 inhibitor combined with chemotherapy, and the short-term efficacy, long-term efficacy, and adverse reactions were observed. Univariate and multivariate Cox regression models were employed to identify the factors influencing overall survival (OS) and after-recurrence survival (ARS).Results:Among the 76 patients, 7 achieved partial response, 35 had stable disease, and 34 experienced progressive disease. The objective response rate was 9.2% (7/76), and the disease control rate was 55.3% (42/76). With a median follow-up time of 23.1 months, 33 out of 76 patients died. The median survival time was 38.5 months (95% CI: 29.6-47.3 months); the 1-year, 2-year, and 3-year OS were 94.5%, 66.6%, and 51.7%, respectively. The median ARS was 14.7 months (95% CI: 10.4-19.1 months); the 6-month, 12-month, and 24-month ARS were 85.8%, 59.6%, and 25.7%, respectively. Univariate analysis showed that the initial radiation dose, the Eastern Cooperative Oncology Group (ECOG) performance status of patients after recurrence, the recurrence-free interval (RFI), and the approach to chemotherapy treatment following local esophageal recurrence were factors affecting OS and ARS ( P＜0.05). Multivariate analysis showed that initial radiotherapy dose ( HR=0.268, 95% CI: 0.100-0.720), the ECOG performance status after recurrence ( HR=4.106, 95% CI: 1.228-13.728), and RFI ( HR=0.248, 95% CI: 0.106-0.582) were independent prognostic factors for OS. Additionally, the initial radiation dose ( HR=0.289, 95% CI: 0.098-0.853) and the ECOG performance status after recurrence ( HR=5.143,95% CI:1.404-18.838) were independent prognostic factors for ARS. The incidence of treatment-related adverse-reactions was 85.5% (65/76). Grade 3 or higher treatment-related adverse reactions primarily included anemia in 4 cases, leukopenia in 8 cases, neutropenia in 9 cases, thrombocytopenia in 2 cases, liver function abnormalities in 4 cases, and elevated troponin T in 2 cases. There were no cases of treatment-related mortality. Conclusions:The combination of PD-1 inhibitors with chemotherapy is safe and effective for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy and can provide survival benefits for patients. This approach can be considered as a therapeutic option for local recurrence at the primary tumor site of ESCC following definitive chemoradiotherapy.

Objective To investigate the expression changes and clinical significance of serum pepsinogen(PG)and triggering receptor expressed on myeloid cells-1(TREM-1)in patients with reflux esophagitis(RE).Methods A total of 140 patients with RE who were treated from October 2021 to October 2023 were selected as the observation group,and 140 healthy adults who underwent physical examination during the same period were selected as the control group.Serum PG(PGⅠ and PGⅡ)and TREM-1 were detected by ELISA.Multivariate logistic regression was used to analyze the influencing factors of RE.Receiver operating characteristic(ROC)was used to analyze the diagnostic efficacy of serum PGⅠ,PGⅡ and TREM-1 levels for RE.Results The levels of interleukin(IL)-2,IL-6,Il-1β,PGⅡ,TREM-1 and tumor necrosis factor-α(TNF-α)in the observation group were significantly higher than those in the control group,while the level of PGⅠ was significantly lower than that in the control group(P<0.01).Serum IL-2,IL-6,IL-1β,TNF-α,PGⅡ and TREM-1 were risk factors for RE,while serum PGⅠ was a protective factor for RE(P<0.01).ROC curve analysis showed that the area under the ROC curve(AUC)of combined detection of PGⅠ,PGⅡ and TREM-1 in the diagnosis of RE was significantly higher than that of PGⅠ alone(Z=5.940,P<0.001)and PGⅡ alone(Z=6.764,P<0.001)and TREM-1 alone(Z=6.791,P<0.001).Conclusion The expression levels of serum PGⅡ and TREM-1 in patients with RE are increased,while the expression level of PGⅠ is decreased.The combined detection of the three can improve the diagnostic efficacy of RE.

Objective To investigate the potential value of a deep learning(DL)model based on non-contrast CT images in predicting contrast medium extravasation in contrast-enhanced CT scans of tumor patients.Methods A total of 298 tumor patients were retrospectively selected,including 90 patients with extravasation and 208 without extravasation,and divided into training set(207 patients),validation set(46 patients),and external test set(45 patients)in a ratio of 7︰1.5︰1.5.U-Net was employed to segment the right common carotid artery/internal jugular vein and right subclavian artery/vein in non-contrast CT images,and ResNet50 was utilized to extract imaging features to construct the DL model,which was subsequently integrated with independent clinical predictors to establish the combined model.The segmentation performance of the DL model was evaluated using Dice similarity coefficient(DSC)and Intersection over Union(IoU),while the area under the curve(AUC),accuracy,sensitivity,and specificity of the model were calculated.Results The DL model demonstrated superior vascular segmentation(DSC 0.81-0.95,IoU 0.79-0.90).The combined model achieved optimal predictive performance,with AUC of 0.961[95%confidence interval(CI)0.924-0.983],0.949(95%CI 0.840-0.992),and 0.891(95%CI 0.762-0.964)in the training,validation,and external test sets,respectively.Its accuracy,sensitivity,and specificity were consistently higher than those of the standalone clinical model.Conclusion The DL model based on non-contrast CT images shows significant potential value in predicting contrast medium extravasation risk in tumor patients,providing an objective and intelligent tool for clinical risk assessment.

Objective:To analyze the influencing factors of thyroid volume in children aged 8 - 10 in Yunnan Province, and provide scientific basis for improving iodine deficiency disorders monitoring.Methods:From March to July 2020, in 129 counties (cities, districts) under the jurisdiction of Yunnan Province, each county (city, district) was divided into 5 sampling areas based on east, west, south, north, and middle. One township was selected from each area, and 40 non-boarding children aged 8 - 10 from one primary school were selected from each township (age balanced, half male and half female) as survey subjects. One random urine sample and household edible salt samples were collected for urine iodine and salt iodine testing, and physical examination and thyroid volume measurement were conducted for children. The influencing factors of thyroid volume were analyzed using Pearson correlation.Results:A total of 24 934 urine samples were collected from children, with a median urine iodine of 233.2 μg/L. A total of 24 933 household edible salt samples were collected from children, the median salt iodine was 24.17 mg/kg, and the qualified rate of iodized salt was 96.63% (24 003/24 839); A total of 24 937 children were examined of their thyroid gland, with a median thyroid volume of 2.62 ml and a goiter rate of 1.12% (280/24 937). Among them, there were 12 410 boys and 12 527 girls, with thyroid volumes of 2.61 and 2.64 ml, respectively. The thyroid volume of boys was positively correlated with age, height, weight, body mass index, body surface area, and salt iodine ( r = 0.15, 0.21, 0.26, 0.18, 0.25, 0.03, P < 0.001). The thyroid volume of girls was positively correlated with age, height, weight, body mass index, and body surface area ( r = 0.17, 0.26, 0.28, 0.17, 0.27, P < 0.001). Conclusion:Children aged 8 - 10 in Yunnan Province are at an iodine excess level; the age, weight, height, body mass index, and body surface area are influencing factors of thyroid volume.