Yttrium-90 microsphere selective internal radiation therapy (SIRT), also known as transarterial radioembolization, has become one of the pivotal treatments for liver cancer, particularly for selected advantageous patient groups. This review summarizes the characteristics of different patients with liver cancer that could obtain maximum benefit from SIRT and discusses key factors affecting efficacy and safety, including tumor characteristics, liver function, patient performance status, and treatment intent. In evaluating appropriate candidates, mapping serves as a crucial simulation procedure to assess tumor vascular anatomy, predict lung shunting, and guide catheter positioning and dose planning. This procedure substantially enhances therapeutic precision while minimizing the risk of nontarget radiation-related adverse events, such as radiation-induced pneumonitis and gastrointestinal toxicity. Several studies have suggested that SIRT is not only suitable for patients with early or limited hepatocellular carcinoma but can also be used as a bridging therapy for liver transplantation and conversion therapy for unresectable liver cancers. In combination with systemic treatments, SIRT has demonstrated survival benefits in patients with unresectable liver cancer. This review also highlights the importance of further optimizing patient screening through personalized dosimetry and mapping to ensure the precision and safety of treatment. A thorough review of relevant literature and clinical practice offers clinicians comprehensive suggestions on patient screening and clarifies the promise of SIRT in the liver cancer population.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective To analyze the basic characteristics of patients with acute myocardial infarction in a tertiary hospi-tal from 2014 to 2023,and provide references for the prevention,treatment,management,and quality control of this disease.Methods Based on the data from the medical records of patients with acute myocardial infarction admitted to a tertiary hospital from January 1,2014,to December 31,2023,the basic characteristics of hospitalized patients and trends in hospitalization costs were analyzed to summarize the development patterns.Results Over the past decade,the number of hospitalized patients with a-cute myocardial infarction has been increasing,while the average length of hospital stay,average cost per hospitalization,and mortality rate have been decreasing.Among the 19 937 patients,there were 16 037 male patients(80.44％)and 3 900 female patients(19.56％),with a male-to-female ratio of 4.11∶1.The median age for male patients was 60 years,while for female patients it was 68 years,indicating that males tend to develop the disease approximately 10 years earlier than females.Among pa-tients aged 60 and above,the mortality rate is positively correlated with age,while among patients below 60,the mortality rate is negatively correlated with age.The decision to undergo surgery has a significant impact on hospitalization costs.From the per-spective of cost structure,the proportion of consumables has decreased from 69.81％to 54.60％in the past decade but remains relatively high.Conclusion With the advancement of hospital management and medical insurance policies,the diagnosis,treat-ment,and quality of care for acute myocardial infarction have significantly improved.However,consumables management remains a key focus.Men and individuals aged 50 and above should be given special attention.During the diagnosis and treatment process,greater attention should also be given to younger or older patients and female patients to reduce the mortality rate.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective To analyze the basic characteristics of patients with acute myocardial infarction in a tertiary hospi-tal from 2014 to 2023,and provide references for the prevention,treatment,management,and quality control of this disease.Methods Based on the data from the medical records of patients with acute myocardial infarction admitted to a tertiary hospital from January 1,2014,to December 31,2023,the basic characteristics of hospitalized patients and trends in hospitalization costs were analyzed to summarize the development patterns.Results Over the past decade,the number of hospitalized patients with a-cute myocardial infarction has been increasing,while the average length of hospital stay,average cost per hospitalization,and mortality rate have been decreasing.Among the 19 937 patients,there were 16 037 male patients(80.44％)and 3 900 female patients(19.56％),with a male-to-female ratio of 4.11∶1.The median age for male patients was 60 years,while for female patients it was 68 years,indicating that males tend to develop the disease approximately 10 years earlier than females.Among pa-tients aged 60 and above,the mortality rate is positively correlated with age,while among patients below 60,the mortality rate is negatively correlated with age.The decision to undergo surgery has a significant impact on hospitalization costs.From the per-spective of cost structure,the proportion of consumables has decreased from 69.81％to 54.60％in the past decade but remains relatively high.Conclusion With the advancement of hospital management and medical insurance policies,the diagnosis,treat-ment,and quality of care for acute myocardial infarction have significantly improved.However,consumables management remains a key focus.Men and individuals aged 50 and above should be given special attention.During the diagnosis and treatment process,greater attention should also be given to younger or older patients and female patients to reduce the mortality rate.

Objective To analyze the basic characteristics of 1885 inpatients with rare diseases in a 3A hospital from January 1 to December 31,2023,so as to provide reference for the management of diagnosis and treatment of rare diseases and the formulation of policies.Methods Based on the medical record homepage data of rare disease inpatients in a tertiary hospital in 2023,analyze the basic characteristics and hospitalization cost structure of rare disease inpatients.Results The hospital ad-mitted 1 885 inpatients with rare diseases in 2023,accounting for 0.81％of the total number of discharged patients,with a male-to-female ratio close to 1:1.Patients aged over 60 accounted for 45.57％,followed by patients aged 45-59(26.47％),patients aged 19-44(20.9％)ranked third,and patients under 18 accounted for less.Rare diseases cover 11 disease classification sys-tems and including 80 diseases,which accounts for 38.65％of the rare diseases in the catalogue.The top ten diseases accounted for 70.56％of the total number of patients,and the top three diseases were progressive fibrosing interstitial lung disease,idio-pathic pulmonary fibrosis and primary biliary cholangitis.Patients under 1 year old accounted for 0.08％,patients aged 2-18 years accounted for 5.19％,patients aged 19-44 years accounted for 19.55％,patients aged 45-59 years accounted for 26.62％,and patients over 60 years old accounted for 48.57％.There was a large difference in the male-female ratio in four diseases:idio-pathic pulmonary fibrosis,amyotrophic lateral sclerosis,Takayasu's arteritis,and primary biliary cholangitis.From the perspec-tive of cost structure,the top ten rare diseases account for a high proportion of diagnosis fees,medicine fees and consumables fees.Conclusion Patients account for a high proportion of rare disease inpatients in the hospital and have a wide coverage of disease types.The overall male-female ratio of patients with rare diseases is similar,but the characteristics of the diseases are dif-ferent.The characteristics of rare diseases determine the structural characteristics of hospitalization expenses.Hospitals should improve the discipline construction and provide more resources for the diagnosis and treatment of rare diseases.To make guide-lines for the diagnosis and treatment of rare diseases and strengthen the training of doctors,so as to realize the early diagnosis and treatment of rare diseases.The state should continue to promote access to medication for rare diseases.

Objective To analyze the basic characteristics of 1885 inpatients with rare diseases in a 3A hospital from January 1 to December 31,2023,so as to provide reference for the management of diagnosis and treatment of rare diseases and the formulation of policies.Methods Based on the medical record homepage data of rare disease inpatients in a tertiary hospital in 2023,analyze the basic characteristics and hospitalization cost structure of rare disease inpatients.Results The hospital ad-mitted 1 885 inpatients with rare diseases in 2023,accounting for 0.81％of the total number of discharged patients,with a male-to-female ratio close to 1:1.Patients aged over 60 accounted for 45.57％,followed by patients aged 45-59(26.47％),patients aged 19-44(20.9％)ranked third,and patients under 18 accounted for less.Rare diseases cover 11 disease classification sys-tems and including 80 diseases,which accounts for 38.65％of the rare diseases in the catalogue.The top ten diseases accounted for 70.56％of the total number of patients,and the top three diseases were progressive fibrosing interstitial lung disease,idio-pathic pulmonary fibrosis and primary biliary cholangitis.Patients under 1 year old accounted for 0.08％,patients aged 2-18 years accounted for 5.19％,patients aged 19-44 years accounted for 19.55％,patients aged 45-59 years accounted for 26.62％,and patients over 60 years old accounted for 48.57％.There was a large difference in the male-female ratio in four diseases:idio-pathic pulmonary fibrosis,amyotrophic lateral sclerosis,Takayasu's arteritis,and primary biliary cholangitis.From the perspec-tive of cost structure,the top ten rare diseases account for a high proportion of diagnosis fees,medicine fees and consumables fees.Conclusion Patients account for a high proportion of rare disease inpatients in the hospital and have a wide coverage of disease types.The overall male-female ratio of patients with rare diseases is similar,but the characteristics of the diseases are dif-ferent.The characteristics of rare diseases determine the structural characteristics of hospitalization expenses.Hospitals should improve the discipline construction and provide more resources for the diagnosis and treatment of rare diseases.To make guide-lines for the diagnosis and treatment of rare diseases and strengthen the training of doctors,so as to realize the early diagnosis and treatment of rare diseases.The state should continue to promote access to medication for rare diseases.

Polymyxin B and polymyxin E (colistin) are presently considered the last line of defense against human infections caused by multidrug-resistant Gram-negative organisms such as carbapenemase-producer Enterobacterales, Acinetobacter baumannii, and Klebsiella pneumoniae. Yet resistance to this last-line drugs is a major public health threat and is rapidly increasing. Polymyxin S₂ (S₂) is a polymyxin B analogue previously synthesized in our institute with obviously high antibacterial activity and lower toxicity than polymyxin B and colistin. To predict the possible resistant mechanism of S₂ for wide clinical application, we experimentally induced bacterial resistant mutants and studied the preliminary resistance mechanisms. Mut-S, a resistant mutant of K. pneumoniae ATCC BAA-2146 (Kpn2146) induced by S₂, was analyzed by whole genome sequencing, transcriptomics, mass spectrometry and complementation experiment. Surprisingly, large-scale genomic inversion (LSGI) of approximately 1.1 Mbp in the chromosome caused by IS26 mediated intramolecular transposition was found in Mut-S, which led to mgrB truncation, lipid A modification and hence S₂ resistance. The resistance can be complemented by plasmid carrying intact mgrB. The same mechanism was also found in polymyxin B and colistin induced drug-resistant mutants of Kpn2146 (Mut-B and Mut-E, respectively). This is the first report of polymyxin resistance caused by IS26 intramolecular transposition mediated mgrB truncation in chromosome in K. pneumoniae. The findings broaden our scope of knowledge for polymyxin resistance and enriched our understanding of how bacteria can manage to survive in the presence of antibiotics.

BACKGROUND: Pneumonia-like primary pulmonary lymphoma (PPL) was commonly misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this study was to establish a computed tomography (CT)-based radiomics model to differentiate pneumonia-like PPL from infectious pneumonia. METHODS: In this retrospective study, 79 patients with pneumonia-like PPL and 176 patients with infectious pneumonia from 12 medical centers were enrolled. Patients from center 1 to center 7 were assigned to the training or validation cohort, and the remaining patients from other centers were used as the external test cohort. Radiomics features were extracted from CT images. A three-step procedure was applied for radiomics feature selection and radiomics signature building, including the inter- and intra-class correlation coefficients (ICCs), a one-way analysis of variance (ANOVA), and least absolute shrinkage and selection operator (LASSO). Univariate and multivariate analyses were used to identify the significant clinicoradiological variables and construct a clinical factor model. Two radiologists reviewed the CT images for the external test set. Performance of the radiomics model, clinical factor model, and each radiologist were assessed by receiver operating characteristic, and area under the curve (AUC) was compared. RESULTS: A total of 144 patients (44 with pneumonia-like PPL and 100 infectious pneumonia) were in the training cohort, 38 patients (12 with pneumonia-like PPL and 26 infectious pneumonia) were in the validation cohort, and 73 patients (23 with pneumonia-like PPL and 50 infectious pneumonia) were in the external test cohort. Twenty-three radiomics features were selected to build the radiomics model, which yielded AUCs of 0.95 (95% confidence interval [CI]: 0.94-0.99), 0.93 (95% CI: 0.85-0.98), and 0.94 (95% CI: 0.87-0.99) in the training, validation, and external test cohort, respectively. The AUCs for the two readers and clinical factor model were 0.74 (95% CI: 0.63-0.83), 0.72 (95% CI: 0.62-0.82), and 0.73 (95% CI: 0.62-0.84) in the external test cohort, respectively. The radiomics model outperformed both the readers' interpretation and clinical factor model ( P <0.05). CONCLUSIONS The CT-based radiomics model may provide an effective and non-invasive tool to differentiate pneumonia-like PPL from infectious pneumonia, which might provide assistance for clinicians in tailoring precise therapy.
Humans ; Retrospective Studies ; Pneumonia/diagnostic imaging* ; Analysis of Variance ; Tomography, X-Ray Computed ; Lymphoma/diagnostic imaging*

As d-amino acids play important roles in the physiological metabolism of bacteria, combination of d-amino acids with antibiotics may provide synergistic antibacterial activity. The aim of the study was to evaluate and activity of d-serine alone and in combination with -lactams against methicillin-resistant (MRSA) strains, and to explore the possible sensitization mechanisms. The activity of d-serine, -lactams alone and in combinations was evaluated both by standard MICs, time-kill curves and checkerboard assays, and by murine systemic infection model as well as neutropenic thigh infection model. An synergistic effect was demonstrated with the combination of d-serine and -lactams against MRSA standard and clinical strains. Importantly, the combinations enhanced the therapeutic efficacy in the animal models as compared to -lactam alone groups. Initial mechanism study suggested possible revision of d-alanine-d-alanine residue to d-alanine-d-serine in peptidoglycan by adding of d-alanine in the medium, which may cause decreased affinity to PBPs during transpeptidation. In conclusion, d-serine had synergistic activity in combination with -lactams against MRSA strains both and . Considering the relatively good safety of d-serine alone or in combination with -lactams, d-serine is worth following up as new anti-MRSA infection strategies.