Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Objective This study aims to summarize the situation,development experiences,and existing problems in the development of Hospital S,and provide relevant suggestions as a reference for the high-quality development path of public hospitals.Methods Thirteen managers of Hospital S(including hospital leaders,functional departments,and clinical depart-ment heads)and eight experts in the field of hospital management were selected as research subjects.The phenomenological re-search method of qualitative research was used,and semi-structured interviews were conducted to collect relevant data.The Co-laizzi phenomenological data analysis method was used to analyze the interview data.Results Through the analysis of the inter-view data,four themes related to high-quality development were identified:medical care,scientific research and teaching,tal-ents,and disciplines.Each theme has specific areas that need priority and focused attention.Under the theme of medical care,there are four sub-themes:medical quality,medical safety,medical technology,and medical services.Scientific research and teaching,as a strategic support for promoting the hospital's sustained high-quality development,includes four sub-themes:re-search innovation,achievement transformation,teaching system,and mentor team.Talents,as the core competitiveness of the hospital,include three sub-themes:top-level design,high-level talents,and training system.The discipline theme includes four sub-themes:development ideas,development opportunities,development directions,and discipline leaders.Conclusion Public hospitals are facing new situations in high-quality development,and accelerating the improvement of medical service capabilities is a direct manifestation of high-quality development.It is necessary to promote key work such as research innovation,teaching management,talent team building,and discipline construction in a coordinated manner to achieve synchronous improvement in quality and efficiency.

Objective To observe the value of T1WI deep learning models for evaluating brain injury of neonatal hyperbilirubinemia(NHB).Methods Totally 106 NHB(defined as newborns with neonatal behavioral neurological assessment≤37,NHB group)and 119 non-NHB newborns(control group)in center A,as well as 34 NHB and 18 non-NHB newborns in center B were collected.ROI was delineated based on bilateral globus pallidus on T1WI.A total of 690 slices were obtained by preprocessing data of center A and then were divided into training set(n=552)and test set(n=138)at a ratio of 8∶2.ResNet18,DenseNet121 and EfficientNetB0 models was established,respectively.External validation was performed based on data of center B.Receiver operating characteristic curves were drawn,area under the curves(AUC)were calculated to evaluate the performance of models for assessing NHB brain injuries compared with traditional visual analysis.Results The AUC of ResNet18 model for evaluating NHB brain injury was 0.910-0.990,significantly higher than that of DenseNet121 model(0.710-0.820)and EfficientNetB0 model(0.640-0.740)(all P＜0.001).The accuracy,sensitivity and precision of ResNet18 model for evaluating NHB brain injury were all higher than those of visual analysis(all P＜0.05),while no significant difference of specificity was found between the above two(P＞0.05).Conclusion T1WI ResNet18 model showed excellent performance and generalization ability for evaluating NHB brain injury.

Objective This study aims to summarize the situation,development experiences,and existing problems in the development of Hospital S,and provide relevant suggestions as a reference for the high-quality development path of public hospitals.Methods Thirteen managers of Hospital S(including hospital leaders,functional departments,and clinical depart-ment heads)and eight experts in the field of hospital management were selected as research subjects.The phenomenological re-search method of qualitative research was used,and semi-structured interviews were conducted to collect relevant data.The Co-laizzi phenomenological data analysis method was used to analyze the interview data.Results Through the analysis of the inter-view data,four themes related to high-quality development were identified:medical care,scientific research and teaching,tal-ents,and disciplines.Each theme has specific areas that need priority and focused attention.Under the theme of medical care,there are four sub-themes:medical quality,medical safety,medical technology,and medical services.Scientific research and teaching,as a strategic support for promoting the hospital's sustained high-quality development,includes four sub-themes:re-search innovation,achievement transformation,teaching system,and mentor team.Talents,as the core competitiveness of the hospital,include three sub-themes:top-level design,high-level talents,and training system.The discipline theme includes four sub-themes:development ideas,development opportunities,development directions,and discipline leaders.Conclusion Public hospitals are facing new situations in high-quality development,and accelerating the improvement of medical service capabilities is a direct manifestation of high-quality development.It is necessary to promote key work such as research innovation,teaching management,talent team building,and discipline construction in a coordinated manner to achieve synchronous improvement in quality and efficiency.

The SWOT model of management was used to analyze the advantages(S),disadvantages(W),opportunities(O)and challenges(T)of the transformation of scientific and technological achievements in a large general hospital in Shandong Province.According to the matrix form,four kinds of strategies are formed,including SO strategy using internal advantages to seize opportunities,ST strategy using internal advantages to resist external threats,WO strategy using external opportunities to o-vercome internal weaknesses and WT strategy overcoming internal weaknesses to avoid external threats,and effective strategies to promote the transformation of scientific and technological achievements in large general hospitals are discussed.

The SWOT model of management was used to analyze the advantages(S),disadvantages(W),opportunities(O)and challenges(T)of the transformation of scientific and technological achievements in a large general hospital in Shandong Province.According to the matrix form,four kinds of strategies are formed,including SO strategy using internal advantages to seize opportunities,ST strategy using internal advantages to resist external threats,WO strategy using external opportunities to o-vercome internal weaknesses and WT strategy overcoming internal weaknesses to avoid external threats,and effective strategies to promote the transformation of scientific and technological achievements in large general hospitals are discussed.

The diagnosis of bone metastasis of prostate cancer (PC) is of great significance to the treatment and prognosis of patients with PC.Bone scan is the most commonly used in the early diagnosis of bone metastasis, but its specificity is low and there is a high false positive.In recent years, with the in-depth study of the application of CT, MRI, emission computed tomography (ECT), positron emission computed tomography/computed tomography (PET/CT) and deep learning algorithm-convolutional neural networks (CNN) in the diagnosis of bone metastasis, the combined application of various auxiliary parameters in the diagnosis of bone metastasis has significantly been improved. The therapeutic effect of PC patients with bone metastasis can also be evaluated, which is expected to achieve the treatment of bone metastasis as well as diagnosis. By systematically expounding the research progress of the above-mentioned techniques in the diagnosis of bone metastasis, it can provide clinicians with new methods for the diagnosis of bone metastasis and improve the diagnostic efficiency for bone metastasis.
Bone Marrow Diseases ; Bone Neoplasms/diagnostic imaging* ; Humans ; Magnetic Resonance Imaging ; Male ; Positron Emission Tomography Computed Tomography ; Prostatic Neoplasms/diagnostic imaging*

Objective:To explore the changes and clinical significance of inflammatory indices of urogenic sepsis with different severity.Methods:A retrospective case-control study was used to analyze the clinical data of 71 patients with urogenic sepsis admitted to 940th Hospital of PLA Joint Logistics Support Force from January 2010 to April 2018, including 34 males and 37 females, aged 39-96 years [(63.1±18.3)years]. The patients were divided into three groups according to the clinical diagnostic criteria for septic shock and sepsis according to the 2014 edition of the Chinese Urology Surgical Guidelines for Diagnosis and Treatment: 21 cases in sepsis group [sequential organ failure assessment (SOFA) score of 3.0 (2.0, 3.0)points], 21 cases in severe sepsis group [SOFA score of 9.0 (6.0, 11.0)points], and 29 cases in septic shock group [SOFA score of 15.0 (14.0, 16.0)points]. Spearman correlation analysis was used to analyze the correlation of inflammatory indicators with SOFA, including white blood cell count, percentage of neutrophils, C-reactive protein, interleukin-6, procalcitonin, fibrinogen, D-dimer, and platelet. Multiple linear regression analysis and stepwise regression weighted analysis were performed to analyze the relation between inflammatory indicators and sepsis severity. Levels of each inflammatory indicator was detected and compared among the groups.Results:① Spearman correlation analysis: percentage of neutrophils, D-dimer, interleukin-6, procalcitonin and SOFA scores were significantly positively correlated, with the r s value of 0.738, 0.712, 0.31, 0.795, respectively ( P<0.01); platelet and SOFA scores were significantly negatively correlated, with the r s value of -0.661 ( P<0.01). ② Multiple linear regression analysis: percentage of neutrophils, platelet, D-dimer, procalcitonin and SOFA score were significantly correlated ( P<0.01); Stepwise regression weighted analysis suggested that the model linear relationship and fit was good. ③ Inflammatory index comparison: percentage of neutrophils in sepsis group, severe sepsis group and septic shock group was 82.30 (76.25, 88.45), 90.50 (86.55, 93.85), 95.10 (92.05, 97.95), respectively; level of platelet was 183.01 (144.50, 246.50)×10 9/L, 149.11 (81.04, 207.00)×10 9/L, 81.26 (50.01, 93.50)×10 9/L, respectively; level of D-dimer was 0.98 (0.71, 1.74)mg/L, 3.45 (1.79, 5.56)mg/L, 7.19 (4.26, 11.63)mg/L, respectively; level of procalcitonin was 0.55 (0.21, 1.09)ng/ml, 5.45 (3.74, 11.80)ng/ml, 17.68 (13.97, 26.75)ng/ml, respectively. There were significant differences in above indicators among the groups ( P<0.05). Conclusions:The serum levels of procalcitonin, percentage of neutrophils, D-dimer and platelet are positively correlated with the severity of urogenic sepsis. While combined detection of those indicators can better predict the severity of the sepsis.

Objective To explore the value of enhanced T2 star weighted angiography(ESWAN)in the treatment of uterine fibroids with high intensity focus ultrasound(HIFU) by analyzing the changes of ESWAN. Methods Uterine fibroids were detected through pelvic conventional MRI and ESWAN 1 day before and after HIFU operation. Different indexes of ESWAN were measured ,and differences were compared with the paired t-test. Results The preoperative and postoperative values of magnitude were 1624.59 ± 53.07 and 1750.13 ± 39.81, phase values were 0.0012 ± 0.0081 Hz and 0.0025 ± 0.1063 Hz,R2*value were 27.69 ± 1.27 Hz and 24.19 ± 1.20 Hz,and T2*values were 34.66 ± 2.07 ms and 36.46 ± 2.14 ms. After HIFU operation,magnitude value,phase value and T2*value were higher(P=0.04,P=0.91 and P=0.45),and R2*value was lower(P=0.019). Conclusions ESWAN can provide more information about histopathologic changes of uterine fibroids after HIFU.

Objective To evaluate the left ventricular systolic function of uremic patients after peritoneal dialysis measured by two-dimensional speckle tracking imaging. Methods Thirty uremic patients with their left ventricular ejection fraction (LVEF) > 50% who had not been underwent dialysis were enrolled in this study. Thirty healthy volunteers were involved as controls. For both groups, the basic data and routine cardiac ultrasound parameters were measured, and the images were collected to be analyzed by QLab software. The left ventricular 16-segment time-strain curves were obtained, and the peak strain of the systolic phase of each segment was measured. The data of 2 groups were analyzed by two independent samples t-test. After 6 months of peritoneal dialysis, the uremic patients were checked again. By using paired t-test, we analyzed the difference in left ventricular systolic dysfunction of uremic patients before and after peritoneal dialysis. Results (1) Comparison between uremia group (nondialysis patients) and control group: systolic arterial pressure, diastolic arterial pressure and pulse pressure of uremic patients increased (t=-4.445,-4.531 and-2.203, P<0.05); left atrial anterior and posterior diameter (LAAPD), left ventricular end diastolic diameter (LVEDD), left ventricular end systolic diameter (LVESD), left ventricular end diastolic volume (LVEDV), left ventricular end systolic volume (LVESV) and left ventricular mass index (LVMI) of uremic patients were larger. Interventricular septum thickness (IVST), left ventricular posterior wall thickness (LVPWT) and relative wall thickness (RWT) were thicker (t=-6.461,-5.168,-4.660,-3.578,-2.872,-6.819,-6.251,-7.108 and-2.659, P < 0.05); the longitudinal, radial and circumferential directions peak systolic strain of 16 segment myocardial of uremic patients decreased (the longitudinal strain:t=-7.063,-5.391,-3.351,-5.323,-5.586,-7.842,-5.265,-5.587,-5.037,-3.051,-4.584,-3.936,-4.168,-9.783,-9.175 and-3.805; the radial strain: t=3.659, 3.58, 5.368, 2.649, 2.928, 4.344, 2.754, 5.031, 5.025, 2.277, 2.691, 2.731, 3.187, 4.179, 5.292 and 4.429; the circumferential strain: t=-5.158,-3.959,-2.164,-3.592,-2.324,-5.672,-4.946,-7.184,-7.748,-5.014,-2.439,-6.299,-8.072,-8.410,-7.884 and-8.854, P < 0.05).(2)Comparison between uremic patients before and after dialysis:the systolic arterial pressure of uremic patients decreased after dialysis (t=2.833, P < 0.05); LAAPD and LVMI of uremic patients decreased after dialysis (t=4.805, 2.631, P < 0.05); BAS, BA, BIL, BI, BIS, MAS, MAL, MIL, APA and APL longitudinal systolic peak strain and the BAL, MAL, MIS, APS, APL and API radial systolic peak strain of uremic patients increased after dialysis (t=5.199, 4.127, 3.781, 3.380, 4.114, 3.116, 2.840, 3.243, 4.003 and 5.605, P < 0.05; t=-3.343,-3.687,-2.488,-2.921,-3.826 and-3.339, all P < 0.05). There were no statistical differences in circumferential peak systolic strain (P>0.05). Conclusions In uremic patients, the structure of the left ventricle changed, the function of myocardial contraction decreased, and the function of myocardial contraction improved after peritoneal dialysis. 2D-STI was able to quantitatively and objectively evaluate the function of the left ventricular myocardial constriction before and after dialysis.