Objective To explore the value of deep learning image reconstruction(DLIR)algorithm to improve the quality of low keV monochromatic portal vein images of energy spectrum CT.Methods Fifty patients who underwent enhanced upper abdominal energy spectrum CT scan were selected.Mixed-model adaptive statistical iterative reconstruction-Veo(50%ASIR-V)algorithm and high-deep learning image reconstruction(DLIR-H)algorithm were used to obtain monochromatic images at 40-70 keV(with intervals of 10 keV).The CT and standard deviation(SD)values of the portal vein trunk,left and right branches,and erector spinae muscle were measured in the transverse position,and the signal-to-noise ratio(SNR)and portal vein contrast-to-noise ratio(CNR)were calculated for objective evaluation.The portal vein image quality between the two algorithms and different energy was subjectively scored by two physicians.Results In terms of objective evaluation:compared with 50%ASIR-V,the CNR and SNR of portal vein in monochromatic DLIR-H images at the same keV between 40-70 keV energy levels were increased while the SD value was decreased(P＜0.05),and the CT value was unchanged;there was no statistical difference in the magnitude of change in CNR between the two algorithms at different energy levels(P＞0.05);there was a statistically significant difference in the magnitude of change in SNR and SD value(P＜0.05)and the magnitude of change was the largest at 40 keV;comparison between different energy levels of DLIR-H,the CNR and SD value of 40 keV DLIR-H were the highest(P＜0.05),and there was no significant difference in the SNR(P＞0.05).In terms of subjective evaluation:there was no significant difference between the subjective scores of the two algorithms at the same keV from 40-70 keV(P＞0.05),and the two reconstruction algorithms at 40 keV and 50 keV had the highest subjective scores between different keV.Conclusion The DLIR algorithm can reduce the noise of low keV monochromatic images,improve the image quality of portal vein.

Objective Under the guidance of the Social Ecosystems Theory(SET)framework,this study explores the experience of social isolation among patients with chronic obstructive pulmonary disease(COPD),providing a basis for the development of targeted clinical interventions.Methods This study employed purposeful sampling methods.Semi-structured interviews were conducted from April to July 2024 with patients diagnosed with COPD at a tertiary hospital in Shanxi Province,China,who met the inclusion and exclusion criteria.Data were analyzed using Colaizzi's seven-step analysis method and NVivo 12.0 software.Results This study involved in-depth interviews with 15 patients suffering from COPD,totaling approximately 405 minutes of interview time and yielding over 40,000 words in transcribed text.Totally 3 main themes and 9 sub-themes were distilled,among which the microsystem level reflects the intricate interplay of individual experiences(physical functional limitations,severe negative emotions,heightened emotional imbalance,and weakened social roles);the mesosystem level pertains to the support and challenges from family and social networks(intense need for familial emotional support,widening social gaps in interactions with friends and relatives,and pronounced interpersonal communication barriers);the macrosystem level involves the integrated influence of societal and policy environments(restricted living conditions and urgent demands for policy support and service accessibility).Conclusion The social isolation experienced by patients with COPD manifests in multiple dimensions of experience.It is necessary to develop interdisciplinary and multi-level comprehensive intervention strategies for the future,to create more social opportunities and emotional connections for patients,thereby improving their quality of life.

Objective:To analyze the predictive role of WT1 expression levels pre-and early post-transplantation on relapse and overall survival(OS)in patients with acute myeloid leukemia(AML)undergoing allogeneic hematopoietic stem cell transplantation(allo-HSCT)during their first complete remission(CR1).Methods:A retrospective analysis was conducted on the clinical data of 107 adult AML patients who underwent allo-HSCT during their CR1 at our center between May 2012 and December 2021.The predictive role of bone marrow WT1 expression levels before transplantation and at 3 and 6 months post-transplantation on relapse and OS was explored in combination with relevant clinical factors.Results:The median follow-up time for the 107 patients was 70(range:11-117)months.Among the patients,15 cases died.Kaplan-Meier survial analysis showed that the 3-year overall survival(OS)rate was 85.0％.20 patients experienced relapse,with a median time to relapse of 8(range:0.5-44)months and a l-year cumulative relapse rate of 13.1％.The overall median value of WT1 before transplantation,3 months after transplantation,and 6 months after transplantation was 0.26％(range:0％-23.64％),with an upper quartile value of 0.74％.No statistically significant differences in WT1 expression levels were observed among the pre-transplantation,3-month post-transplantation,and 6-month post-transplantation time points(P=0.227).Univariate analysis showed that patients with WT1 levels＞0.74％at 3 months post-transplantation had a higher 1-year relapse rate(P=0.029)and lower 3-year OS rate(P＜0.001)compared to patients with WT1 levels ≤0.74％.Other significant factors affecting 1-year relapse included stem cell source(P=0.041)and chronic graft-versus-host disease(cGVHD)(P=0.013).For 3-year OS,additional influencing factors were genetic high risk(P=0.048)and stem cell source(P=0.016).Multivariate analysis revealed that WT1 level＞0.74％at 3 months post-transplantation had a trend to affect 1-year relapse rate(HR=3.309,95％CI:0.958-11.431,P=0.058),while the absence of cGVHD was an independent risk factor for 1-year relapse(HR=3.473,95％CI:0.749-16.100,P=0.037).Only WT1 level＞0.74％at 3 months post-transplantation was an independent risk factor for 3-year OS(HR=6.886,95％CI:2.402-19.738,P＜0.001).Conclusion:High WT1 expression level at 3 months post-transplantation in AML patients undergoing allo-HSCT during CR1 affects the 1-year relapse rate and 3-year OS,and is an independent risk factor affecting 3-year OS.These findings suggest that dynamic monitoring of WT1 expression levels has certain value in prognostic assessment of AML patients who received allo-HSCT during CR1.

Purpose To evaluate the diagnostic value of an abbreviated protocol MRI(AP-MRI)based on first post-contrast subtracted(FAST)images for breast cancer detection.Materials and Methods This study included imaging data from 160 female patients with solid breast lesions who underwent breast MRI in the First Affiliated Hospital of Henan University of Chinese Medicine from April 2021 to January 2024.Two AP-MRI protocols were extracted from the full diagnostic protocol(FDP),including:dynamic contrast-enhanced MRI(DCE-MRI)A protocol:FAST and maximum-intensity projection(MIP)images,and DCE-MRI B protocol:FAST+MIP+diffusion-weighted imaging(DWI).Lesions categorized as breast imaging reporting and data system(BI-RADS)1-3 were classified as negative,and those categorized as BI-RADS 4-5 were classified as positive.Pathological findings served as the diagnostic gold standard.Two radiologists independently evaluated the lesions as negative/positive and compared with the gold standard.The sensitivity,specificity and accuracy of the three protocols were compared.Receiver operating characteristic curves were generated for each protocol,and the area under the curve(AUC)was compared.Results The accuracy of the three protocols showed statistically significant differences(Cochran's Qreader1=6.000,P=0.050;Cochran's Qreader2=10.909,P=0.012).The accuracy of the DCE-MRI A protocol was significantly lower than that of the FDP protocol(Z=2.449,Preader1=0.043;Z=2.858,Preader2=0.013).There were no statistically significant differences in sensitivity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.667,P=0.264)or specificity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.800,P=0.247)between the two AP-MRI protocols and the FDP protocol.There were no statistically significant differences in AUC between the DCE-MRI B protocol and the FDP protocol(Z=1.390-1.719,all P>0.05),while the AUC of the DCE-MRI A protocol had lower AUCs than the FDP protocol(Z=1.980,2.441;both P<0.05).Conclusion The AP-MRI protocol combining FAST,MIP and DWI shows diagnostic accuracy comparable to that of the FDP and greatly saves time and cost,suggesting its potential as an alternative imaging strategy for women with dense breasts and as a new diagnostic approach for high-risk populations.

Objective To explore the value of deep learning image reconstruction(DLIR)algorithm to improve the quality of low keV monochromatic portal vein images of energy spectrum CT.Methods Fifty patients who underwent enhanced upper abdominal energy spectrum CT scan were selected.Mixed-model adaptive statistical iterative reconstruction-Veo(50%ASIR-V)algorithm and high-deep learning image reconstruction(DLIR-H)algorithm were used to obtain monochromatic images at 40-70 keV(with intervals of 10 keV).The CT and standard deviation(SD)values of the portal vein trunk,left and right branches,and erector spinae muscle were measured in the transverse position,and the signal-to-noise ratio(SNR)and portal vein contrast-to-noise ratio(CNR)were calculated for objective evaluation.The portal vein image quality between the two algorithms and different energy was subjectively scored by two physicians.Results In terms of objective evaluation:compared with 50%ASIR-V,the CNR and SNR of portal vein in monochromatic DLIR-H images at the same keV between 40-70 keV energy levels were increased while the SD value was decreased(P＜0.05),and the CT value was unchanged;there was no statistical difference in the magnitude of change in CNR between the two algorithms at different energy levels(P＞0.05);there was a statistically significant difference in the magnitude of change in SNR and SD value(P＜0.05)and the magnitude of change was the largest at 40 keV;comparison between different energy levels of DLIR-H,the CNR and SD value of 40 keV DLIR-H were the highest(P＜0.05),and there was no significant difference in the SNR(P＞0.05).In terms of subjective evaluation:there was no significant difference between the subjective scores of the two algorithms at the same keV from 40-70 keV(P＞0.05),and the two reconstruction algorithms at 40 keV and 50 keV had the highest subjective scores between different keV.Conclusion The DLIR algorithm can reduce the noise of low keV monochromatic images,improve the image quality of portal vein.

Objective Under the guidance of the Social Ecosystems Theory(SET)framework,this study explores the experience of social isolation among patients with chronic obstructive pulmonary disease(COPD),providing a basis for the development of targeted clinical interventions.Methods This study employed purposeful sampling methods.Semi-structured interviews were conducted from April to July 2024 with patients diagnosed with COPD at a tertiary hospital in Shanxi Province,China,who met the inclusion and exclusion criteria.Data were analyzed using Colaizzi's seven-step analysis method and NVivo 12.0 software.Results This study involved in-depth interviews with 15 patients suffering from COPD,totaling approximately 405 minutes of interview time and yielding over 40,000 words in transcribed text.Totally 3 main themes and 9 sub-themes were distilled,among which the microsystem level reflects the intricate interplay of individual experiences(physical functional limitations,severe negative emotions,heightened emotional imbalance,and weakened social roles);the mesosystem level pertains to the support and challenges from family and social networks(intense need for familial emotional support,widening social gaps in interactions with friends and relatives,and pronounced interpersonal communication barriers);the macrosystem level involves the integrated influence of societal and policy environments(restricted living conditions and urgent demands for policy support and service accessibility).Conclusion The social isolation experienced by patients with COPD manifests in multiple dimensions of experience.It is necessary to develop interdisciplinary and multi-level comprehensive intervention strategies for the future,to create more social opportunities and emotional connections for patients,thereby improving their quality of life.

Purpose To evaluate the diagnostic value of an abbreviated protocol MRI(AP-MRI)based on first post-contrast subtracted(FAST)images for breast cancer detection.Materials and Methods This study included imaging data from 160 female patients with solid breast lesions who underwent breast MRI in the First Affiliated Hospital of Henan University of Chinese Medicine from April 2021 to January 2024.Two AP-MRI protocols were extracted from the full diagnostic protocol(FDP),including:dynamic contrast-enhanced MRI(DCE-MRI)A protocol:FAST and maximum-intensity projection(MIP)images,and DCE-MRI B protocol:FAST+MIP+diffusion-weighted imaging(DWI).Lesions categorized as breast imaging reporting and data system(BI-RADS)1-3 were classified as negative,and those categorized as BI-RADS 4-5 were classified as positive.Pathological findings served as the diagnostic gold standard.Two radiologists independently evaluated the lesions as negative/positive and compared with the gold standard.The sensitivity,specificity and accuracy of the three protocols were compared.Receiver operating characteristic curves were generated for each protocol,and the area under the curve(AUC)was compared.Results The accuracy of the three protocols showed statistically significant differences(Cochran's Qreader1=6.000,P=0.050;Cochran's Qreader2=10.909,P=0.012).The accuracy of the DCE-MRI A protocol was significantly lower than that of the FDP protocol(Z=2.449,Preader1=0.043;Z=2.858,Preader2=0.013).There were no statistically significant differences in sensitivity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.667,P=0.264)or specificity(Cochran's Qreader1=3.000,P=0.223;Cochran's Qreader2=2.800,P=0.247)between the two AP-MRI protocols and the FDP protocol.There were no statistically significant differences in AUC between the DCE-MRI B protocol and the FDP protocol(Z=1.390-1.719,all P>0.05),while the AUC of the DCE-MRI A protocol had lower AUCs than the FDP protocol(Z=1.980,2.441;both P<0.05).Conclusion The AP-MRI protocol combining FAST,MIP and DWI shows diagnostic accuracy comparable to that of the FDP and greatly saves time and cost,suggesting its potential as an alternative imaging strategy for women with dense breasts and as a new diagnostic approach for high-risk populations.

Objective:To analyze the predictive role of WT1 expression levels pre-and early post-transplantation on relapse and overall survival(OS)in patients with acute myeloid leukemia(AML)undergoing allogeneic hematopoietic stem cell transplantation(allo-HSCT)during their first complete remission(CR1).Methods:A retrospective analysis was conducted on the clinical data of 107 adult AML patients who underwent allo-HSCT during their CR1 at our center between May 2012 and December 2021.The predictive role of bone marrow WT1 expression levels before transplantation and at 3 and 6 months post-transplantation on relapse and OS was explored in combination with relevant clinical factors.Results:The median follow-up time for the 107 patients was 70(range:11-117)months.Among the patients,15 cases died.Kaplan-Meier survial analysis showed that the 3-year overall survival(OS)rate was 85.0％.20 patients experienced relapse,with a median time to relapse of 8(range:0.5-44)months and a l-year cumulative relapse rate of 13.1％.The overall median value of WT1 before transplantation,3 months after transplantation,and 6 months after transplantation was 0.26％(range:0％-23.64％),with an upper quartile value of 0.74％.No statistically significant differences in WT1 expression levels were observed among the pre-transplantation,3-month post-transplantation,and 6-month post-transplantation time points(P=0.227).Univariate analysis showed that patients with WT1 levels＞0.74％at 3 months post-transplantation had a higher 1-year relapse rate(P=0.029)and lower 3-year OS rate(P＜0.001)compared to patients with WT1 levels ≤0.74％.Other significant factors affecting 1-year relapse included stem cell source(P=0.041)and chronic graft-versus-host disease(cGVHD)(P=0.013).For 3-year OS,additional influencing factors were genetic high risk(P=0.048)and stem cell source(P=0.016).Multivariate analysis revealed that WT1 level＞0.74％at 3 months post-transplantation had a trend to affect 1-year relapse rate(HR=3.309,95％CI:0.958-11.431,P=0.058),while the absence of cGVHD was an independent risk factor for 1-year relapse(HR=3.473,95％CI:0.749-16.100,P=0.037).Only WT1 level＞0.74％at 3 months post-transplantation was an independent risk factor for 3-year OS(HR=6.886,95％CI:2.402-19.738,P＜0.001).Conclusion:High WT1 expression level at 3 months post-transplantation in AML patients undergoing allo-HSCT during CR1 affects the 1-year relapse rate and 3-year OS,and is an independent risk factor affecting 3-year OS.These findings suggest that dynamic monitoring of WT1 expression levels has certain value in prognostic assessment of AML patients who received allo-HSCT during CR1.