Purpose To explore the diagnostic efficiency of ultrasound(US)combined with contrast-enhanced ultrasound(CEUS)in breast lesions and to analyze the related factors affecting the diagnostic accuracy.Materials and Methods From January 2022 to February 2023,the clinical data and ultrasound images of 784 patients who underwent breast US and CEUS examination with definite pathological results were retrospectively collected in the First Medical Center of the PLA General Hospital.The diagnostic efficacy of US combined with CEUS in benign and malignant breast lesions was analyzed,respectively.The independent risk factors for diagnostic errors were analyzed via Logistic regression.Results The sensitivity,specificity and accuracy of US combined with CEUS in the diagnosis of benign and malignant breast lesions were 89.2%,84.4%and 88.7%,respectively.The area under the receiver operating characteristic curve was 0.932.The results of multivariate Logistic regression analysis showed that the diagnosis error rate increased when the lesions were non-mass type(odds ratio,OR=1.927,P=0.047),complex cystic and solid(OR=3.729,P=0.000),and high-enhanced CEUS(OR=1.937,P=0.023),while the diagnosis error rate decreased when the lesions were large(OR=0.688,P=0.004)and with US-detect suspicious lymph node(OR=0.143,P=0.011).Conclusion When the breast lesions are non-mass type,complex cystic and solid lesions and hyper-enhancement,the diagnosis error rate of US combined with CEUS increased.It is necessary to further explore the enhancement patterns of different lesions.

Purpose To explore the correlation between phosphatidylinositol 3 kinase/serine-threonine kinase(PI3K/AKT)signaling pathway and elastic characteristics of breast lesions.Materials and Methods A total of 115 breast lesions were prospectively analyzed in 114 patients who underwent surgery from May 2021 to May 2022 at Chinese PLA General Hospital.Ultrasound and shear wave elastography were performed preoperatively.Immunohistochemical staining was used to detect the expression of PI3K/AKT protein levels in the tissue specimens,and the correlation between the staining results and the elastic parameters of shear wave elastography was analyzed.Results Surgical pathology revealed benign breast lesions in 50 cases and malignant lesions in 65 cases(25 cases with axillary lymph node metastasis).The maximum modulus of elasticity(F=40.47),the average modulus of elasticity(F=45.11),the ratio of elasticity of the lesion to that of the surrounding tissue(F=48.98),the detection rate of"hard ring sign"(χ2=62.25),the expression level of PI3K/p-PI3K(F=15.19,58.95)and AKT/p-AKT(F=46.94,74.21)were found in benign and malignant lesions without axillary lymph node metastasis,malignant lesions with axillary lymph node metastasis(all P<0.05).The expression levels of PI3K/p-PI3K and AKT/p-AKT were positively correlated with the maximum elastic modulus value,the mean elastic modulus value,and the ratio of elasticity of the lesion to the surrounding tissues(r=0.475,0.475,0.451;r=0.533,0.540,0.542;r=0.371,0.402,0.445;r=0.482,0.455,0.545,all P<0.05).Conclusion The expression level of PI3K/AKT in breast lesions is correlated with elastic characteristics,suggesting that it plays an important role in the regulation of elastic characteristics of breast lesions.

Objective:To develop a grading prediction model of traumatic hemorrhage volume based on deep learning and assist in predicting traumatic hemorrhage volume.Methods:A retrospective observational study was conducted based on the experimental data of pig gunshot wounds in the time-effect assessment database for experiments on war-traumatized animals constructed by the General Hospital of the Chinese People's Liberation Army. The hemorrhage volume data of the study population were extracted, and the animals were divided into 0-300 mL, 301-600 mL, and > 600 mL groups according to the hemorrhage volume. Using vital signs indexes as the predictive variables and hemorrhage volume grading as the outcome variable, trauma hemorrhage volume grading prediction models were developed based on four traditional machine learning and ten deep learning methods. Using laboratory test indexes as predictive variables and hemorrhage volume grading as outcome variables, trauma hemorrhage volume grading prediction models were developed based on the above fourteen methods. The effect of the two groups of models was evaluated by accuracy and area under the receiver operator characteristic curve (AUC), and the optimal models in the two groups were mixed to obtain hybrid model 1. Feature selection was conducted according to the genetic algorithm, and hybrid model 2 was constructed according to the best feature combination. Finally, hybrid model 2 was deployed in the animal experiment database system.Results:Ninety-six traumatic animals in the database were enrolled, including 27 pigs in the 0-300 mL group, 40 in the 301-600 mL group, and 29 in the > 600 mL group. Among the fourteen models based on vital signs indexes, fully convolutional network (FCN) model was the best [accuracy: 60.0%, AUC and 95% confidence interval (95% CI) was 0.699 (0.671-0.727)]. Among the fourteen models based on laboratory test indexes, recurrent neural network (RNN) model was the best [accuracy: 68.9%, AUC (95% CI) was 0.845 (0.829-0.860)]. After mixing the FCN and RNN models, the hybrid model 1, namely RNN-FCN model was obtained, and the performance of the model was improved [accuracy: 74.2%, AUC (95% CI) was 0.847 (0.833-0.862)]. Feature selection was carried out by genetic algorithm, and the hybrid model 2, namely RNN-FCN* model, was constructed according to the selected feature combination, which further improved the model performance [accuracy: 80.5%, AUC (95% CI) was 0.880 (0.868-0.893)]. The hybrid model 2 contained ten indexes, including mean arterial pressure (MAP), hematocrit (HCT), platelet count (PLT), lactic acid, arterial partial pressure of carbon dioxide (PaCO 2), Total CO 2, blood sodium, anion gap (AG), fibrinogen (FIB), international normalized ratio (INR). Finally, the RNN-FCN* model was deployed in the database system, which realized automatic, continuous, efficient, intelligent, and grading prediction of hemorrhage volume in traumatic animals. Conclusion:Based on deep learning, a grading prediction model of traumatic hemorrhage volume was developed and deployed in the information system to realize the intelligent grading prediction of traumatic animal hemorrhage volume.

Objective:To observe the changes of arterial blood gas indexes in pigs with the free-field primary blast lung injury (PBLI) model, and to explore the value of arterial blood gas indexes in predicting moderate to severe PBLI.Methods:Nine adult healthy Landrace pigs were selected to construct the pig free-field PBLI model. Arterial blood samples were taken 15 minutes before the explosion (before injury) and 10, 30, 60, 120, and 180 minutes after the explosion (after injury). Arterial blood gas indexes and pulse oxygen saturation (SpO 2) were measured, compare the changes of blood gas analysis indexes and SpO 2 levels at different time points, and observe the changes of gross injury scores and pathological injury scores of lung tissue. Analyze the correlation between the blood gas indicators. Results:As time prolonged, at each time point, pH, arterial partial pressure of oxygen (PaO 2), and SpO 2 were lower than those before the injury, and blood lactic acid (Lac) and arterial partial pressure of carbon dioxide (PaCO 2) were higher than those before the injury. Compared with that before the injury, the pH value in the blood decreased significantly 10 minutes after the injury (7.39±0.06 vs. 7.46±0.02, P < 0.05), and the Lac increased significantly (mmol/L: 3.61±2.89 vs. 1.10±0.28, P < 0.05), and lasts until 180 minutes after injury (pH value: 7.37±0.07 vs. 7.46±0.02, Lac (mmol/L): 2.40±0.79 vs. 1.10±0.28, both P < 0.05); while PaO 2 and SpO 2 decreased significantly at 180 minutes after injury [PaO 2 (mmHg, 1 mmHg = 0.133 kPa): 59.40±10.94 vs. 74.81±9.39, P < 0.05; SpO 2: 0.75±0.11 vs. 0.89±0.08, P < 0.05], PaCO 2 increased significantly (mmHg: 56.17±5.38 vs. 48.42±4.93, P < 0.05). Correlation analysis showed that the gross injury score of lung blast injury animals was positively correlated with the pathological injury score ( r = 0.866, P = 0.005); PaO 2 and SpO 2 were positively correlated ( r = 0.703, P = 0.000); pH value and Lac were negative Correlation ( r = -0.400, P = 0.006); pH value is negatively correlated with PaCO 2 ( r = -0.844, P = 0.000). Conclusion:This study successfully established a large mammalian free-field PBLI model, arterial blood gas analysis is helpful for the early diagnosis of PBLI, whether SpO 2 can be used to evaluate the severity of lung injury remains to be further verified.

Objective To investigate the relationship between histogram analysis of DCE-MRI quantitative parameters and clinical stage of nasopharyngeal carcinoma (NPC).Methods 70 patients with NPC confirmed by pathology underwent MRI examination and staging.NPC tumors were measured by full-volume ROI setting method,and the obtained DCE-MRI quantitative parameters were analyzed by histogram.Spearman correlation coefficients were obtained to evaluate the potential correlation between the DCE-MRI histogram quantitative parameters and NPC clinical stages.Results The histogram-based Ktrans (mean,10 th,75 th,90 th),Kep (mean,10 th,kurtosis),and Ve (mean,90 th,skewness)had correlation with T stage (P＜0.05,respectively).The histogram-based Ktrans (mean)and Ve (mean,90 th) showed correlation with N stage (P＜0.05,respectively).The histogram-based Kep (kurtosis)and Ve (mean)had correlation with M stage (P＜0.05,respectively).The histogram-based Kep had no correlation with N stage,and Ktrans had no correlation with M stage. The histogram-based Ktrans (mean,10 th,75 th,90 th),Kep (10 th,75 th,kurtosis)and Ve (mean,75 th,90 th)had correlation with overall stage (P＜0.05,respectively).Conclusion The histogram analysis of DCE-MRI quantitative parameters showed that the multiple parameters associated with NPC overall stages.DCE-MRI quantitative parameters non-invasively reflect the aggressiveness and progression of NPC.The histogram analysis of DCE-MRI quantitative parameters may play a role in clinical stage of NPC.

Objective To explore the difference in efficacy between multiparametric MRI (Mp-MRI) based on prostate imaging reporting and data system version 2 (PI-RADS v2) and abbreviated biparametric MRI (Bp-MRI) in detecting prostate cancer (PCa) and clinically significant prostate cancer (csPCa), and to evaluate the consistency of image interpretation between different readers. Methods The imaging, pathological and clinical data of patients with prostatic Mp-MRI in our hospital from February 2015 to June 2018 were retrospectively analyzed. At the beginning, 250 patients were randomly selected. Two radiologists visually evaluated the images of those patients using two 5-point scoring schemes based on Mp-MRI and Bp-MRI. The remaining cases were independently proceeded by one of the radiologists using two schemes respectively. Weighted Kappa test was used to assess the consistency of the results interpreted by the two radiologists. The receiver operating characteristic (ROC) curve was used to evaluate the efficiency of the two scoring schemes in detecting PCa and csPCa, and with Z test to investigate whether there was any difference in detection efficiency between the two schemes. Results Nine hundred and seventy eight patients were eventually enrolled in the study. The results of the consistency assessment showed that there was good agreement between the two radiologists, whether using Mp-MRI or Bp-MRI, with the weighted Kappa coefficient of 0.800 and 0.812, respectively. The ROC curve analysis showed that the area under the curve (AUC) of PCa detected by Mp-MRI and Bp-MRI was 0.873 and 0.879, respectively, and the AUC of csPCa detected was 0.922 and 0.932, respectively. In addition, there was no statistically significant difference between the AUC of PCa and csPCa detected by the two schemes (P>0.05). Conclusion The Bp-MRI scoring scheme has good stability in the evaluation of benign and malignant prostate, and its detection efficiency of PCa or csPCa is not lower than that of standard Mp-MRI based on PI-RADS v2.

Objective To investigate the correlation between pathological features of clear cell renal cell carcinoma(ccRCC) and Fuhrman classification with enhanced MDCT image findings.Methods CT findings and clinical data of 108 ccRCC patients confirmed by pathology were collected and the CT values of tumor parenchyma,ipsilateral renal cortex and aorta were measured and absolute and relative CT values of tumor parenchyma were calculated.According to the Fuhrman pathological classification,all cases were divided into low grade (Fuhrman Ⅰ-Ⅱ) and high-grade (Fuhrman Ⅲ-Ⅳ) groups and the CT findings included CT attenuation of four phases and the absolute and relative enhancement values were compared respectively.Results Low-grade tumors differed from high-grade tumors with lower attenuation on unenhanced CT scan,absolute enhancement values in three phases were higher,relative enhancement values were also higher in arterial and venous phases,the difference were statistically significant (P＜0.05).A1 (r =-0.311,P＜0.05) and the absolute enhancement in delay(r =-0.310,P＜0.05) and nephrographic phase(r =-0.304,P＜0.05) were negatively correlated to the Fuhrman grade,A 1 (AUC =0.707),C1 (AUC =0.705) and corticomedullary phase absolute enhancement (AUC =0.675) had the more larger AUCs.Conclusion The MDCT enhancement index of ccRCC is negatively correlated with pathological Fuhrman grading which is helpful to predict the grade of ccRCC before operation and has certain clinical values.

Objective To investigate the value and diagnostic efficiency of the quantitative dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) and intravoxel incoherent motion (IVIM) parameters using three dimention (3D)-histogram analysis for discriminating the Gleason score (GS) of prostate cancer. Methods A total of 53 patients pathologically confirmed as prostate cancer by systemic prostate biopsy who had routine , DCE and DWI-MRI scans were retrospectively analyzed. There were 15 cases for low-risk and 38 cases for intermediate/high-risk prostate cancer. The 3D ROI of all lesions based on T2WI was achieved by image registration to get the quantitative parameters of DCE-MRI and DWI-IVIM. The parameters of DCE-MRI contains: transfer constant (Ktrans), rate constant (Kep) and extracellular-extravascular volume fraction (Ve).The DWI-IVIM related quantitative parameters were ADC, diffusion coefficient (D), diffusion coefficient related to perfusion (D*) and perfusion fraction (f). Then the histogram analysis of these quantitative parameters was performed to get the mean, median, 25th percentile, 75th percentile, Skewness and Kurtosis. Using the Spearman rank correlation analysis to evaluate the correlation of these parameters and GS of prostate cancer. The diagnostic performance of these quantitative histogram parameters related to the GS in identifying low-risk and intermediate/high-risk of prostate cancer was carried by ROC. Results The Kep and Ktrans (mean, median, 25th, 75th) of DCE-MRI were positively correlated with GS (r value was 0.346 to 0.696, P<0.05). The ADC (mean, median, 25th, 75th), D (mean, median, 25th, 75th, Skewness, Kurtosis) and D*(25th) of DWI-IVIM were correlated with GS (r value was-0.544 to 0.428, P<0.05). The DCE-MRI quantitative parameters Kep (25th) had the highest area under curve (AUC, 0.961); The ADC (median) and D (25th) had higher AUC( 0.832, 0.888) in the quantitative parameters of DWI-IVIM, the difference between Kep(25th) and ADC (median) was statistically significant (Z value was 2.212, P value was 0.027). The difference of AUC between Kep (25th) and D (25th), D (25th) and ADC (median) was not statistically significant (Z values were 1.027 and 1.398, P values were 0.162 and 0.304, respectively).Conclusion DCE and IVIM quantitative parameters (Kep, Ktrans, ADC, D) histogram analysis results are correlated with GS, and can be used for distinguishing low-risk from intermediate/high-risk prostate cancer.

The present paper is aimed to explore the origins of Proteus mirabilis (PM) whorl swarming growth phenomenon. The whorl swarming growth phenomenon of PM was observed by changed bacterial culture inoculation time, humidity, vaccination practices, cultured flat placement, magnetic field, pH and other factors. Bacterial ring spiral direction of rotation is counterclockwise and the volatile growth process of PM was whorl swarming growth phenomenon. Spiro fluctuation phenomenon was of high frequency in the sealing tanks by cultured anytime inoculation, wherever inoculation technique applied or not, the presence or absence of the magnetic field, and wherever the dish position was. The experimental results showed that the whorl swarming growth phenomenon of PM requires specific pH environment, in which the facts may be relative to its genetic characteristics and the Earths rotation.
Cell Culture Techniques ; Hydrogen-Ion Concentration ; Magnetic Fields ; Proteus mirabilis ; growth & development

BACKGROUNDAn zidovudine (AZT)-substitution regimen containing 24-week stavudine (d4T) followed by long-term AZT for HIV therapy is potential to trade off short-term AZT-related anemia and long-term risks associated with d4T in resource-limited settings. However, evidence is scarce. This study aims to assess the efficacy and safety of AZT-substitution regimen, aiming to find a regimen with better efficacy, less adverse events, and more affordability in resource-limited settings.

METHODSThis prospective, multicenter study enrolled 499 (190 on d4T regimen, 172 on AZT regimen, and 137 on AZT-substitution regimen) HIV-1-infected subjects who initiated combined antiretroviral therapy and attended follow-up visits over 96 weeks from 2009 to 2011. Lamivudine (3TC) and either nevirapine (NVP) or efavirenz (EFV) were the other two drugs in the antiretroviral regimens. Virologic and immunologic responses and adverse events were monitored at baseline and at weeks 4, 12, 24, 36, 48, 60, 72, 84, and 96.

RESULTSIn terms of hematological adverse effects, AZT-substitution group had similar safety profiles to d4T group and was superior to AZT group. In comparison with AZT-substitution group, AZT group was associated with higher risk of developing anemia (adjusted hazard ratio (aHR) for anemia ≥ grade II, 8.44, 95% CI 1.81-39.46) and neutropenia (aHR for neutropenia ≥ grade II, 1.86, 95% CI 1.19-2.93). The prevalence of lipodystrophy in d4T group was 19.5%, while that in AZT-substitution group was zero. As to antiretroviral efficacy, these three groups showed no differences.

CONCLUSIONAZT-substitution regimen provides a relatively safe and effective first-line antiretroviral strategy in resource-limited settings.

Adult ; Anti-HIV Agents ; administration & dosage ; adverse effects ; therapeutic use ; Female ; HIV Infections ; drug therapy ; Humans ; Male ; Middle Aged ; Prospective Studies ; Stavudine ; administration & dosage ; adverse effects ; therapeutic use ; Zidovudine ; administration & dosage ; adverse effects ; therapeutic use