Objective To observe the value of deep progressive reconstruction(DPR)algorithm for reconstructing whole-body 18 F-FDG PET images.Methods Totally 67 patients who underwent whole-body 18 F-FDG PET/CT were retrospectively enrolled.PET data of 30 s,60 s,90 s and 120 s per bed in equipment list were reconstructed using ordered subset expectation maximization(OSEM)and DPR algorithms,respectively.Finally 7 groups of reconstructed images were obtained,including OSEM_30,OSEM_60 and OSEM_120,also DPR_30,DPR_60,DPR_90 and DPR_120 groups.The subjective scores,also objective evaluation indexes,i.e.the maximum and mean standard uptake values(SUV)of lesions and livers,namely SUVmax and SUVmean,were compared,and target-to-background ratio(TBR),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)and coefficient of liver variation(CVliver)were calculated.Taken results based in OSEM_120 group as references,Bland-Altman plot was drawn to explore the consistency of SUV of lesions and livers obtained based on DPR_30,DPR_60 and DPR_90 groups with those in OSEM_120 group.Results Under the same acquisition time,subjective scores,SUVmax and SUVmean of lesions,TBR,SNR,CNR and CVliver in DPR_30,DPR_60 and DPR_120 groups were superior to those in corresponding OSEM_30,OSEM_60 and OSEM_120 groups(all P＜0.001).Compared with OSEM_120 group,subjective scores and SNR decreased but TBR and CVliver increased in DPR_30 group,while subjective and objective evaluation results in DPR_60 group and DPR_90 group increased(all P＜0.05)or being not significantly different from those in OSEM_120 group(all P＞0.05).No significant difference of liver SUV mean was found among 7 groups(P=0.955).SUVmax and SUVmean of lesions and livers obtained based on DPR_30,DPR_60 and DPR_90 groups were in good agreement with those oibtained based on OSEM_120 group.Conclusion Using DPR algorithm to reconstruct whole-body 18 F-FDG PET image could shorten acquisition time under the premise of ensuring image quality.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To investigate the level of urinary serine protease(Corin) in early diabetic kidney disease(DKD) and its correlation with clinical stage.Methods:One hundred and seventy-three patients with type 2 diabetes mellitus(DM) from two tertiary A hospitals in Henan, diagnosed between April 2023 and December 2023 were selected as the research group, and 120 healthy subjects were selected as the control group. Basic clinical information and laboratory data were collected, and urinary Corin level was detected. DM patients were classified into G1-G5 stages based on estimated glomerular filtration rate(eGFR), and those in the early DKD stages(G1-G3) were further divided into A1-A3 subgroups based on urinary albumin/creatinine ratio(ACR). Spearman correlation analysis was performed to assess relationships between urinary Corin and other indicators, linear regression analysis identified factors influencing urinary Corin in early DKD patients, logistic regression analysis evaluated the risk factors for early DKD, and receiver operating characteristic(ROC) curve analysis determined the diagnostic value of urinary Corin in early DKD. Results:Urinary Corin levels were significantly higher in early DKD patients compared to healthy controls, with levels increasing as ACR rose( P<0.05). Urinary Corin was positively associated with serum creatinine( r=0.570), urea( r=0.458), cystatin C( r=0.693), ACR( r=0.616), urinary transferrin( r=0.448), urinary α1 microglobulin( r=0.507), urinary n-acetyl-β-D-glucosaminase( r=0.388) and A subgroup( r=0.692) while was negatively correlated with eGFR( r=-0.647), albumin( r=-0.312)(all P<0.05). eGFR was the only independent factor affecting urinary Corin. After adjusting for confounding factors in logistic regression analysis, urinary Corin was still an independent influencing factor for early DKD. ROC curve analysis indicated that urinary Corin had a diagnostic AUC of 0.842(95% CI 0.791-0.892, P<0.001), with a cut-off value of 2 226.04 pg/mL, sensitivity of 0.712, and specificity of 0.858 for early DKD diagnosis. Conclusions:Urinary Corin was elevated in early DKD patients and correlated with clinical stage. Urinary Corin is an independent factor of early DKD, and a reliable predictor of early DKD diagnosis.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Hepatic encephalopathy is a neuropsychiatric syndrome secondary to severe liver disease.Recent studies have shown that the development of hepatic encephalopathy is closely associated with bile acid/short-chain fatty acid metabolic disorder.As the core theory of traditional Chinese medicine,the theory of Yin and Yang provides a unique perspective for analyzing the association between bile acids/short-chain fatty acids and hepatic encephalopathy.Bile acids function like Yang,governing the free flow of Qi and assisting in metabolic processes,while short-chain fatty acids belong to Yin,maintaining internal stability and conservation,preserving the intestinal barrier,and combating inflammation and toxins.Bile acids and short-chain fatty acids constrain each other and are interdependent to regulate the dynamic equilibrium of the gut-liver-brain axis.On this basis,by regulating the metabolic imbalance of bile acids and short-chain fatty acids,it is expected to restore the dynamic balance of Yin and Yang in patients with hepatic encephalopathy under the synergistic intervention of traditional Chinese medicine and Western medicine.

Hepatic encephalopathy is a neuropsychiatric syndrome secondary to severe liver disease.Recent studies have shown that the development of hepatic encephalopathy is closely associated with bile acid/short-chain fatty acid metabolic disorder.As the core theory of traditional Chinese medicine,the theory of Yin and Yang provides a unique perspective for analyzing the association between bile acids/short-chain fatty acids and hepatic encephalopathy.Bile acids function like Yang,governing the free flow of Qi and assisting in metabolic processes,while short-chain fatty acids belong to Yin,maintaining internal stability and conservation,preserving the intestinal barrier,and combating inflammation and toxins.Bile acids and short-chain fatty acids constrain each other and are interdependent to regulate the dynamic equilibrium of the gut-liver-brain axis.On this basis,by regulating the metabolic imbalance of bile acids and short-chain fatty acids,it is expected to restore the dynamic balance of Yin and Yang in patients with hepatic encephalopathy under the synergistic intervention of traditional Chinese medicine and Western medicine.

Objective To observe the value of deep progressive reconstruction(DPR)algorithm for reconstructing whole-body 18 F-FDG PET images.Methods Totally 67 patients who underwent whole-body 18 F-FDG PET/CT were retrospectively enrolled.PET data of 30 s,60 s,90 s and 120 s per bed in equipment list were reconstructed using ordered subset expectation maximization(OSEM)and DPR algorithms,respectively.Finally 7 groups of reconstructed images were obtained,including OSEM_30,OSEM_60 and OSEM_120,also DPR_30,DPR_60,DPR_90 and DPR_120 groups.The subjective scores,also objective evaluation indexes,i.e.the maximum and mean standard uptake values(SUV)of lesions and livers,namely SUVmax and SUVmean,were compared,and target-to-background ratio(TBR),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)and coefficient of liver variation(CVliver)were calculated.Taken results based in OSEM_120 group as references,Bland-Altman plot was drawn to explore the consistency of SUV of lesions and livers obtained based on DPR_30,DPR_60 and DPR_90 groups with those in OSEM_120 group.Results Under the same acquisition time,subjective scores,SUVmax and SUVmean of lesions,TBR,SNR,CNR and CVliver in DPR_30,DPR_60 and DPR_120 groups were superior to those in corresponding OSEM_30,OSEM_60 and OSEM_120 groups(all P＜0.001).Compared with OSEM_120 group,subjective scores and SNR decreased but TBR and CVliver increased in DPR_30 group,while subjective and objective evaluation results in DPR_60 group and DPR_90 group increased(all P＜0.05)or being not significantly different from those in OSEM_120 group(all P＞0.05).No significant difference of liver SUV mean was found among 7 groups(P=0.955).SUVmax and SUVmean of lesions and livers obtained based on DPR_30,DPR_60 and DPR_90 groups were in good agreement with those oibtained based on OSEM_120 group.Conclusion Using DPR algorithm to reconstruct whole-body 18 F-FDG PET image could shorten acquisition time under the premise of ensuring image quality.

Postoperative infection of internal fixation of closed fractures the lower limbs in adults represents a devastating complication, characterized by diagnostic challenges, prolonged treatment duration and high disability rates. Current management of these infections faces multiple challenges, such as difficulties in early accurate diagnosis, and various controversies about the treatment plan, leading to poor overall diagnosis and treatment results. To address these issues, based on evidence-based medicine and principles with emphasis on scientific rigor, clinical applicability and innovation, the Trauma Branch of the Chinese Medical Association, Orthopedic Branch of the Chinese Medical Doctor Association, Orthopedics Branch of the Chinese Medical Association, and Trauma Orthopedics and Polytrauma Group of the Resuscitation and Emergency Committee of the Chinese Medical Doctor Association have collaboratively organized a panel of relevant experts to develop the Guideline for diagnosis and treatment of infection after internal fixation of closed lower limb fractures in adults ( version 2025). The guideline proposed 10 recommendations, aiming to provide a foundation for standardized diagnosis and treatment of postoperative infection in adults with closed lower limb fractures.

Objective:To investigate the level of urinary serine protease(Corin) in early diabetic kidney disease(DKD) and its correlation with clinical stage.Methods:One hundred and seventy-three patients with type 2 diabetes mellitus(DM) from two tertiary A hospitals in Henan, diagnosed between April 2023 and December 2023 were selected as the research group, and 120 healthy subjects were selected as the control group. Basic clinical information and laboratory data were collected, and urinary Corin level was detected. DM patients were classified into G1-G5 stages based on estimated glomerular filtration rate(eGFR), and those in the early DKD stages(G1-G3) were further divided into A1-A3 subgroups based on urinary albumin/creatinine ratio(ACR). Spearman correlation analysis was performed to assess relationships between urinary Corin and other indicators, linear regression analysis identified factors influencing urinary Corin in early DKD patients, logistic regression analysis evaluated the risk factors for early DKD, and receiver operating characteristic(ROC) curve analysis determined the diagnostic value of urinary Corin in early DKD. Results:Urinary Corin levels were significantly higher in early DKD patients compared to healthy controls, with levels increasing as ACR rose( P<0.05). Urinary Corin was positively associated with serum creatinine( r=0.570), urea( r=0.458), cystatin C( r=0.693), ACR( r=0.616), urinary transferrin( r=0.448), urinary α1 microglobulin( r=0.507), urinary n-acetyl-β-D-glucosaminase( r=0.388) and A subgroup( r=0.692) while was negatively correlated with eGFR( r=-0.647), albumin( r=-0.312)(all P<0.05). eGFR was the only independent factor affecting urinary Corin. After adjusting for confounding factors in logistic regression analysis, urinary Corin was still an independent influencing factor for early DKD. ROC curve analysis indicated that urinary Corin had a diagnostic AUC of 0.842(95% CI 0.791-0.892, P<0.001), with a cut-off value of 2 226.04 pg/mL, sensitivity of 0.712, and specificity of 0.858 for early DKD diagnosis. Conclusions:Urinary Corin was elevated in early DKD patients and correlated with clinical stage. Urinary Corin is an independent factor of early DKD, and a reliable predictor of early DKD diagnosis.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.