Objective:To investigate the predictive value of computed tomography(CT) based radiomics model for the prognosis of patients with pancreatic ductal adenocarcinoma(PDAC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 206 PDAC patients who were admitted to Zhongshan Hospital of Fudan University from August 2018 to December 2020 were collected. There were 115 males and 91 females, aged (64±9)years. All 206 pati-ents underwent enhanced CT examination. Based on radom number table, the 206 patients were randomly divided into a training set of 165 cases and a validation set of 41 cases with a ratio of 4∶1. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) follow-up; (2) analysis of prognostic factors of PDAC patients in the training set; (3) construction and evaluation of prediction model for prognosis of PDAC patients. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Wilcoxon W test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. The Kaplan-Meier method was used to calculate the survival rate and Log-rank test was used for survival analysis. Univariate and multivariate analyses were conducted using the COX regression model. The PyCharm software was used for the least absolute shrinkage and selection operator method (LASSO)-COX regression analysis. The receiver operating characteristic curve was plotted to evaluate the performance of radiomics model. Results:(1)Follow-up. Of the 206 patients,205 cases were followed up for 17.1(range, 12.0?40.1)months. The postoperative 1-, 2-, 3-year survival rates were 80.10%, 29.61% and 4.85%. (2) Analysis of prognostic factors for PDAC patients in the training dataset. Results of multivariate analysis showed that pathological N stage was an independent influencing factor for prognosis of PDAC patients in the training set ( hazard ratio=1.476, 95% confidence interval as 1.054?2.067, P<0.05). (3) Construction and evaluation of prediction model for prognosis of PDAC patients. A total of 1 595 radiomics features were finally extracted from the 206 patients. By intra-group feature selection and dimensionality reduction using LASSO-COX regression model, 10 radiomics features were obtained. Combined with 10 radiomics features and 11 clinical features, using the LASSO-COX regression analysis, 15 features were finally extracted to construct the CT based radiomics model for predicting prognosis of PDAC. The areas under receiver operating characteristic curve of the prediction model in predicting 2-year and 3-year overall survival rates of PDAC patients in the training set were 0.834 (95% confidence interval as 0.777?0.891) and 0.883 (95% confidence interval as 0.834?0.932), respectively. The area under curve of the prediction model for patients in the validation set was 0.606 (95% confidence interval as 0.456?0.756) and 0.625 (95% confidence interval as 0.477?0.773). Conclusion:The prediction model constructed on CT based radiomics features and clinical features for predicting the prognosis of PDAC patients shows a promising prediction efficiency.

Objective:The development and application of end-of-life patient decision aids for elderly were systematically reviewed and analyzed in order to supply guidance for the design of localized patient decision aids in China.Methods:Using the Scoping Review Guidelines as a methodological framework, a systematic search was conducted across databases including China National Knowledge Infrastructure, Wanfang, China Biology Medicine, PubMed, Web of Science, Embase, Cochrane Library, CINAHL, and BIOSIS. The search period covered from the inception of these databases to October 31, 2023. Two professionally trained researchers were responsible for screening, extracting, and organizing the retrieved literature.Results:A total of 5 studies on decision aids were included. These primarily employed paper graphics, interactive web pages, or multimedia slides as formats. The content encompassed various aspects such as palliative care options along with their pros and cons, assisting patients in clarifying their personal values, encouraging patients to document their decision-making preferences, and initiating end-of-life conversations with family members. Age-friendly design strategies were adopted in 4 studies; efficacy was validated in 3 studies, and in two of these studies, significant improvements were observed in engagement of patients (or substitute decision-makers) in ACP and the consistency of decision preferences (both P< 0.05). Conclusions:End-of-life decision aids for elderly patients can improve decision-making outcomes to some extent, however, the form and quality standards of them need to be improved, and their long-term effect needs further research and verification. It is recommended that in the future, the needs for end-of-life decision-making should be properly assessed based on the health literacy level, and high-quality localized end-of-life decision aids should be developed and popularized.

Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Objective:To investigate the predictive value of computed tomography(CT) based radiomics model for the prognosis of patients with pancreatic ductal adenocarcinoma(PDAC).Methods:The retrospective cohort study was conducted. The clinicopathological data of 206 PDAC patients who were admitted to Zhongshan Hospital of Fudan University from August 2018 to December 2020 were collected. There were 115 males and 91 females, aged (64±9)years. All 206 pati-ents underwent enhanced CT examination. Based on radom number table, the 206 patients were randomly divided into a training set of 165 cases and a validation set of 41 cases with a ratio of 4∶1. The training set was used to construct the prediction model, and the test set was used to validate the performance of the prediction model. Observation indicators: (1) follow-up; (2) analysis of prognostic factors of PDAC patients in the training set; (3) construction and evaluation of prediction model for prognosis of PDAC patients. Comparison of measurement data with normal distribution between groups was conducted using the t test. Comparison of measurement data with skewed distribution between groups was conducted using the Wilcoxon W test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. The Kaplan-Meier method was used to calculate the survival rate and Log-rank test was used for survival analysis. Univariate and multivariate analyses were conducted using the COX regression model. The PyCharm software was used for the least absolute shrinkage and selection operator method (LASSO)-COX regression analysis. The receiver operating characteristic curve was plotted to evaluate the performance of radiomics model. Results:(1)Follow-up. Of the 206 patients,205 cases were followed up for 17.1(range, 12.0?40.1)months. The postoperative 1-, 2-, 3-year survival rates were 80.10%, 29.61% and 4.85%. (2) Analysis of prognostic factors for PDAC patients in the training dataset. Results of multivariate analysis showed that pathological N stage was an independent influencing factor for prognosis of PDAC patients in the training set ( hazard ratio=1.476, 95% confidence interval as 1.054?2.067, P<0.05). (3) Construction and evaluation of prediction model for prognosis of PDAC patients. A total of 1 595 radiomics features were finally extracted from the 206 patients. By intra-group feature selection and dimensionality reduction using LASSO-COX regression model, 10 radiomics features were obtained. Combined with 10 radiomics features and 11 clinical features, using the LASSO-COX regression analysis, 15 features were finally extracted to construct the CT based radiomics model for predicting prognosis of PDAC. The areas under receiver operating characteristic curve of the prediction model in predicting 2-year and 3-year overall survival rates of PDAC patients in the training set were 0.834 (95% confidence interval as 0.777?0.891) and 0.883 (95% confidence interval as 0.834?0.932), respectively. The area under curve of the prediction model for patients in the validation set was 0.606 (95% confidence interval as 0.456?0.756) and 0.625 (95% confidence interval as 0.477?0.773). Conclusion:The prediction model constructed on CT based radiomics features and clinical features for predicting the prognosis of PDAC patients shows a promising prediction efficiency.

Objective:The development and application of end-of-life patient decision aids for elderly were systematically reviewed and analyzed in order to supply guidance for the design of localized patient decision aids in China.Methods:Using the Scoping Review Guidelines as a methodological framework, a systematic search was conducted across databases including China National Knowledge Infrastructure, Wanfang, China Biology Medicine, PubMed, Web of Science, Embase, Cochrane Library, CINAHL, and BIOSIS. The search period covered from the inception of these databases to October 31, 2023. Two professionally trained researchers were responsible for screening, extracting, and organizing the retrieved literature.Results:A total of 5 studies on decision aids were included. These primarily employed paper graphics, interactive web pages, or multimedia slides as formats. The content encompassed various aspects such as palliative care options along with their pros and cons, assisting patients in clarifying their personal values, encouraging patients to document their decision-making preferences, and initiating end-of-life conversations with family members. Age-friendly design strategies were adopted in 4 studies; efficacy was validated in 3 studies, and in two of these studies, significant improvements were observed in engagement of patients (or substitute decision-makers) in ACP and the consistency of decision preferences (both P< 0.05). Conclusions:End-of-life decision aids for elderly patients can improve decision-making outcomes to some extent, however, the form and quality standards of them need to be improved, and their long-term effect needs further research and verification. It is recommended that in the future, the needs for end-of-life decision-making should be properly assessed based on the health literacy level, and high-quality localized end-of-life decision aids should be developed and popularized.

Objective:To explore the role adaptation experience of informal caregivers of elderly patients with swallowing disorders, providing reference for developing caregiver support programs.Methods:This study was a qualitative study. Purposive sampling method was used to select informal caregivers of elderly patients with swallowing disorders admitted to West China Hospital of Sichuan University and Chengdu Second People's Hospital from July to October 2023 for semi-structured interviews. Analyze the data and extract themes using Colaizzi's 7-step analysis method.Results:From the caregiving experience, two main themes and nine subthemes were identified: poor adaptation to multiple roles (insufficient role adaptation resources, disrupted physiological rhythms, prominent negative emotions, limited social participation, heavy economic burden) ; role activation (emotion and responsibility, external support system assistance, internal self-efficacy enhancement, self-healing) .Conclusions:Medical staff should optimize training for informal caregivers of elderly patients with swallowing disorders, enhancing their knowledge and skills to alleviate poor role adaptation experiences and improve the quality of care.

Objective To observe the value of 2D SECara-Net and 3D U2-Net models constructed based on 2D maximal intensity projection(MIP)and 3D time-of-flight MR angiography(3D TOF-MRA)images,respectively,also of their combination for MRA detecting unruptured saccular intracranial aneurysms(USIA).Methods Totally 973 patients with single USIA and 300 subjects who underwent healthy physical examination were retrospectively collected and divided into training set(n=923,containing 723 cases of USIA and 200 healthy subjects)and test set(n=350,containing 250 cases of USIA and 100 healthy subjects)at the ratio of 7:3.Pre-processed 3D TOF-MRA and the obtained 2D-MIP images in training set were imported into 3D U2-Net and 2D SECara-Net models for training and adjusting parameters,respectively.The efficiency of 2 models and their combination for detecting USIA were evaluated.Results The sensitivity,specificity and accuracy of 2D SECara-Net model for detecting USIA in test set was 78.80％(197/250),95.00％(95/100)and 83.43％(292/350),of 3D U2-Net model was 82.80％(207/250),86.00％(86/100)and 83.71％(293/350),respectively.The specificity of 2D SECara-Net model was higher than that of 3D U2-Net model(P=0.030),while no significant difference of sensitivity nor accuracy was found between 2 models(both P＞0.05).The specificity of the combination of the 2 models was 99.00％(99/100),higher than that of 3D U2-Net model(P＜0.05),and the sensitivity and accuracy of the combination was 91.20％(228/250)and 93.43％(327/350),respectivelty,both higher than those of 2 single models(all P＜0.05).Conclusion 2D SECara-Net and 3D U2-Net models had similar,sensitivity and accuracy for MRA detecting USIA.Combination of them could improve the detecting efficacy.

Objective:To improve the understanding of the clinical manifestation of immunoglobulin G 4-related disease (IgG 4-RD) with neurological involvement. Methods:Patients presenting with neurological symptoms and biopsy-confirmed IgG 4-RD were enrolled between March 2014 and March 2024 from the Department of Neurology of Xuanwu Hospital of Capital Medical University. Medical record data of all patients were retrospectively reviewed, including clinical manifestations, laboratory findings, radiological results, pathology, treatments, and outcomes. RD were enrolled between March Results:Nine patients (five males, four females; median age at onset: 63 years) were included in the study. Neurological manifestations consisted of pachymeningitis in six cases, peripheral nerve involvement in two, and brain parenchyma involvement in one. Four patients displayed isolated neurologic symptoms. The most common clinical manifestations were headache and cranial nerve palsy, each involving five cases. Magnetic resonance imaging showed thickening and enhancement of the dura mater in the six patients with pachymeningitis. Four of these cases involved the posterior cranial fossa, 3 presented with an inflammatory pseudotumor, and 2 involved the spinal cord. Four patients with pachymeningitis had normal serum IgG 4 concentrations. Eight patients exhibited elevated serum C-reactive protein or erythrocyte sedimentation rates, with some also showing decreased complement C3 and C4 levels. Cerebrospinal fluid immunoglobulin was elevated in all nine cases. In all cases, histopathologic biopsy results showed extensive infiltration of lymphocytes and plasma cells, with the latter displaying IgG 4+abnormalities. All patients received glucocorticoid therapy, with six also receiving immunosuppressants. All patients were followed up for a median of 30 months, with outcomes including two complete remissions, five partial remissions, one unchanged condition, and one death. Six patients experienced a relapse. Conclusions:Isolated hypertrophic pachymeningitis is the most common manifestation of IgG 4-RD, often occurring in the absence of elevated serum IgG 4 levels. Peripheral nerve and brain parenchyma involvement can also be seen. Clinical manifestations are non-specific, and histopathologic biopsy is frequently required for diagnosis. Although the disease responds well to hormone treatment, recurrence is common. Early combined immunosuppressive therapy can improve prognosis.

Objective:To explore the role adaptation experience of informal caregivers of elderly patients with swallowing disorders, providing reference for developing caregiver support programs.Methods:This study was a qualitative study. Purposive sampling method was used to select informal caregivers of elderly patients with swallowing disorders admitted to West China Hospital of Sichuan University and Chengdu Second People's Hospital from July to October 2023 for semi-structured interviews. Analyze the data and extract themes using Colaizzi's 7-step analysis method.Results:From the caregiving experience, two main themes and nine subthemes were identified: poor adaptation to multiple roles (insufficient role adaptation resources, disrupted physiological rhythms, prominent negative emotions, limited social participation, heavy economic burden) ; role activation (emotion and responsibility, external support system assistance, internal self-efficacy enhancement, self-healing) .Conclusions:Medical staff should optimize training for informal caregivers of elderly patients with swallowing disorders, enhancing their knowledge and skills to alleviate poor role adaptation experiences and improve the quality of care.

Objective:To improve the understanding of the clinical manifestation of immunoglobulin G 4-related disease (IgG 4-RD) with neurological involvement. Methods:Patients presenting with neurological symptoms and biopsy-confirmed IgG 4-RD were enrolled between March 2014 and March 2024 from the Department of Neurology of Xuanwu Hospital of Capital Medical University. Medical record data of all patients were retrospectively reviewed, including clinical manifestations, laboratory findings, radiological results, pathology, treatments, and outcomes. RD were enrolled between March Results:Nine patients (five males, four females; median age at onset: 63 years) were included in the study. Neurological manifestations consisted of pachymeningitis in six cases, peripheral nerve involvement in two, and brain parenchyma involvement in one. Four patients displayed isolated neurologic symptoms. The most common clinical manifestations were headache and cranial nerve palsy, each involving five cases. Magnetic resonance imaging showed thickening and enhancement of the dura mater in the six patients with pachymeningitis. Four of these cases involved the posterior cranial fossa, 3 presented with an inflammatory pseudotumor, and 2 involved the spinal cord. Four patients with pachymeningitis had normal serum IgG 4 concentrations. Eight patients exhibited elevated serum C-reactive protein or erythrocyte sedimentation rates, with some also showing decreased complement C3 and C4 levels. Cerebrospinal fluid immunoglobulin was elevated in all nine cases. In all cases, histopathologic biopsy results showed extensive infiltration of lymphocytes and plasma cells, with the latter displaying IgG 4+abnormalities. All patients received glucocorticoid therapy, with six also receiving immunosuppressants. All patients were followed up for a median of 30 months, with outcomes including two complete remissions, five partial remissions, one unchanged condition, and one death. Six patients experienced a relapse. Conclusions:Isolated hypertrophic pachymeningitis is the most common manifestation of IgG 4-RD, often occurring in the absence of elevated serum IgG 4 levels. Peripheral nerve and brain parenchyma involvement can also be seen. Clinical manifestations are non-specific, and histopathologic biopsy is frequently required for diagnosis. Although the disease responds well to hormone treatment, recurrence is common. Early combined immunosuppressive therapy can improve prognosis.