In order to standardize the clinical nursing practice of ultrasound-guided percutaneous interventional treatment for structural heart disease(SHD),the Branch of Nursing Equipment and Materials of China Association of Medical Equipment combined with Nursing Special Committee of Expert Committee of the National Center for Cardiovascular Diseases formulated an expert consensus(hereinafter referred to as the consensus)on nursing management for day surgery of ultrasound-guided percutaneous interventional treatment for SHD in accordance with the principles of evidence-based medicine,which conducted comprehensive review of domestic and foreign literature on ultrasound-guided percutaneous intervention techniques,and literature review for relevant guidelines,consensus,original studies,etc..The consensus was established through two rounds of expert consultation,and the recovery rates of the two rounds of questionnaires were 100%,and the experts'authority coefficient was 0.86,and the Kendall's W were 0.117 and 0.140.The final consensus included 3 items at level 1,10 items at level 2,and 32 items at level 3.The expert consensus on nursing management of ultrasound-guided percutaneous interventional day surgery for SHD is scientific,rigorous and practical,and it can provide reference for clinical nursing practice of ultrasound-guided percutaneous interventional treatment for SHD.

Objective:To study the correlation between coronary artery stenosis of coronary computed tomography angiography(CCTA)and computed tomography fractional flow reserve(CT-FFR)in single cardiac cycle.Methods:A total of 100 patients with highly suspected coronary artery stenosis who visited our hospital from Jan 2023 to Jan 2025 were selected as the study subjects.All patients underwent CCTA examination in single cardiac cycle,and the examination results were input into professional software to assess the degree of CCTA coronary artery stenosis,and CT-FFR values of them were measured and calculated.Results:According to the results of CCTA assessment,there were 15 cases with mild stenosis,61 cases with moderate stenosis,and 24 cases with severe stenosis in 100 patients with suspected coronary artery stenosis.The results of Pearson correlation analysis indicated that there was a negative correlation between CCTA coronary artery stenosis and CT-FFR in single cardiac cycle(r=-0.690,P<0.001).The area under curve(AUC)value of the receiver operating characteristic(ROC)curve of CT-FFR was 0.940(95%CI was 0.892-0.989)in assessing coronary artery stenosis,and the sensitivity,specificity,cutoff value and Youden index of that were respectively 0.776,0.933,0.815 and 0.709.Conclusion:There is a close correlation between the degree of CCTA coronary artery stenosis and CT-FFR in single cardiac cycle,which means the smaller CT-FFR value indicates higher degree of CCTA coronary artery stenosis.

Objective:To explore application value of a constructed predictive model of quantitative parameters of contrast-enhanced ultrasound(CEUS)combined with immunohistochemical indicators in assessing the curative efficacy of neoadjuvant chemotherapy(NAC)for breast cancer,so as to provide objective basis for clinically individual treatment decisions.Methods:The CEUS quantitative parameters were used to combine with immunohistochemical indicators to construct predictive model,and this study adopted prospective cohort design.A total of 93 patients who were preliminarily diagnosed as breast cancer at Affiliated Hospital of Jiangnan University during June 2022 and June 2023 were included in this study.According to the pathologically relieve condition,they were divided into significant response group(41 cases)and non-significant response group(52 cases).All of them received NAC with docetaxel/doxorubicin/cyclophosphamide(TAC).Before treatment,the peak intensity(PI),time-to-peak(TTP),and wash-in rate(WIR)of them were obtained through CEUS,and all of patients underwent immunohistochemical examination to detect the expressions of immunohistochemical indicators included estrogen receptor(ER),progesterone receptor(PR),human epidermal growth factor receptor 2(HER2)and Ki-67 proliferation index.The Miller-Payne grade G4-G5 was used as the standard of pathological complete response(pCR).Multivariate logistic regression was adopted to screen independent predictors,and construct a jointly predictive model,and verify effectiveness by Bootstrap resampling method.Results:The PI value of significant response group was(22.7±4.1)dB,which was significantly higher than(18.3±3.6)dB of non-significant response group,and the difference was significant(t=5.437,P<0.001).The TTP of significant response group was(14.2±2.8)s,which was shorter than(18.6±3.1)s of non-significant response group,and the difference was significant(t=7.152,P<0.05).The wash-in rate(WIR)of significant response group was(1.61±0.43)dB/s,which was significantly higher than(0.98±0.37)dB/s of non-significant response group,and the difference was significant(t=7.893,P<0.001).In the immunohistochemical indicators,the positive HER2 and high Ki-67 expression significantly correlated with pathological response.In the results of positive HER2,there were 17 cases(41.5%)in 41 patients of significant response group,and there were 9 cases(17.3%)in non-significant response group,and the positive HER2 of significant response group was higher than that of non-significant response group,and the difference was significant(x2=7.326,P<0.05).For patients whose Ki-67 were larger or equal to 20%,the positive rate of significant response group was 75.6%(31 cases),which was higher than 57.7%(30 cases)of non-significant response group.For patients whose Ki-67 were less than 20%,the positive rate of significant response group was 24.4%(10 cases),which was significantly higher than 42.3%(22 cases)of non-significant response group,and the difference was significant(x2=3.921,P<0.05).Multivariate analysis indicated that TTP≤15 s,WIR≥1.5 dB/s,and positive HER2 were respectively independent predictors(OR=4.23,3.76,2.91,P<0.05).The area under curve(AUC)value of receiver operating characteristic(ROC)curve of joint model was 0.89(95%CI:0.83-0.95),and the sensitivity and specificity of that were respectively 92.7%and 80.8%,which were significantly better than each single parameter.Decision curve analysis indicated that the net benefit value of joint model increased by 21.3%-28.6%than conventional strategy when threshold probabilities was 15%-60%.Conclusion:CEUS quantitative parameters(TTP,WIR)that combine with HER2 status can construct predictive model with high-precision and low-cost for NAC curative efficacy,which synergistic effect in dynamic perfusion assessment and molecularly pathological characteristic can provide new paradigm for precision treatment in breast cancer.This mode has excellent clinical applicability,and can effectively identify chemosensitive populations and optimize decision-making process of treatment.

Objective:To investigate changes of choroid plexus volume in patients with essential hypertension using deep learning-based segmentation technique.Methods:According to the inclusion criteria,19 patients with essential hypertension who visited The 900th Hospital of People's Liberation Army Joint Service Support Force from December 2022 to May 2024 were divided into hypertension group.Additionally,19 healthy individuals,matched with the hypertension group in terms of gender,age,and years of education,were recruited as the healthy control group during the same period.All participants underwent data acquisition of three-dimensional T1(T1-3D)brain structural images using a Siemens 3.0T Trio magnetic resonance(MR)scanner.A pre-trained deep learning model,which based on the 3D U-Net architecture and generated by fully convolutional neural network,was employed for choroid plexus segmentation,and the total brain volume and lateral ventricle volume were calculated using the United Imaging Artificial Intelligence(AI)platform.Statistical analysis of the choroid plexus volume and other data for both groups were performed using SPSS27.0.Results:Compared with the healthy control group(1 866 mm3),the hypertensive group(2 047 mm3)showed an abnormal increase in choroid plexus volume(x2=3.900,P<0.05).Moreover,the choroid plexus volume was positively correlated with lateral ventricle volume and systolic blood pressure(r=0.849,P<0.05),and was negatively correlated with digit span(forward)in the hypertensive group(r=-0.374,P<0.05).Conclusion:The choroid plexus volume in patients with essential hypertension abnormally increased,which might be a factor promoting to changes in brain structure,it can affect further the cognitive function of patients with hypertension.

Objective:To investigate the feasibility of deep learning based on computed tomography(CT)radiomics in improving diagnostic accuracy for pulmonary nodules.Methods:A total of 500 patients with pulmonary nodules who admitted to our hospital from January 2023 to January 2024 were selected as study subjects,and they were randomly divided into a training set(350 patients)and a test set(150 patients)as 7:3 ratio.All patients underwent CT examination,and pathological diagnosis was used as gold standard to record pulmonary nodules that were judged by clinical judgment.The radiomics features were screened from the CT images of the patients,and these features were used to construct multiple machine learning models.The predictive value of different models in diagnosing pulmonary nodules was analyzed through confusion matrices and receiver operating characteristic(ROC)curve.Results:A total of 1,594 radiomics features,including 1,195 texture features(74.97%)that was the largest ratio,334 first-order histograms(20.95%),and 65 second-order histograms(4.08%),were extracted in this study.After least absolute shrinkage and selection operator(LASSO)regression analysis and ten-fold cross-validation processing,a total of six radiomics features were screened out.The screened radiomics features were incorporated respectively into four assembled models with machine learning,including ResNet50,DenseNet121,Inception_V3 and VGG19.The constructed models were evaluated respectively using the training set and the test set.The results showed that the assembled model had the highest accuracies in both training set and the test set(96.57%and 95.33%),which area under curve(AUC)values were 0.934 and 0.923,and specificities were 81.64%and 80.52%,and sensitivities were 90.25%and 88.71%,respectively.The results of consistency test indicated that the assembled model had the best classification consistency(Kappa=0.856,P<0.001)in the constructed diagnostic model for pulmonary nodule,which was the best-performing model.Conclusion:The deep learning technique based on CT radiomics has a certain feasibility in improving the diagnostic accuracy for pulmonary nodules,and the machine learning model that is included in this study has favorable predictive value in diagnosing pulmonary nodules.In them,the assembled model that is constructed on the basis of ResNet50,DenseNet121,Inception_V3,and VGG19 has better classification ability.

Objective:To explore the influence of different scanning positions based on chest phantom of computed tomography(CT)scan on chest on image quality and radiation dose.Methods:A thermoluminescent dosimeter(TLD)was placed at the breast area of simulating anthropoid chest phantom.GE Revolution evo CT was used to conduct scan on the conventional supine position(supine group)and prone position(prone group)for chest phantom.Different noise indexes(NI=10-23)were adjusted to control ration doses,and other parameters were fixed,and each group collected 12 sequence images.The average value(AV),standard deviation(SD)of the CT scan at region of interest(ROI)under different scanning positions were recorded to calculate the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of the image.The radiation dose at the breast area was measured by TLD,and the volume CT dose index(CTDIvol)and dose-length product(DLP)were recorded.Results:Under different scanning positions,the radiation dose of breast organs in the prone group was lower than that in the supine group,there was a statistically significant difference between the two groups(t=6.57,P<0.05),while there were not statistically significant differences in CTDIvol and DLP between the two groups(P>0.05).There were not statistically significant differences in the CT values,SD,SNR,CNR of lung tissue,and the CT values of breast tissue between the two groups of images(P>0.05).The SD,SNR and CNR of breast tissue in the prone group were lower than those in the supine group,and the differences were statistically significant(t=-13.33,-10.59,6.70,P<0.05).There were no statistically significant differences in the subjective scores of the clarity of the edge of the tissue within lung,the layers of soft tissue of the breast,noise,and artifacts in the bone tissue between the two groups of images(P>0.05).Conclusion:When low-dose CT physical examination on chest is conducted in clinical practice,the scanning of prone position during undergoing CT scan on chest can obtain image quality that can meet the requirements in diagnosing lung,and reduce the radiation dose on the breast,and conform to the technical principle of optimal radiation protection.

Objective:To investigate the feasibility of segmented total marrow and lymphoid irradiation(TMLI)using Helical TomoTherapy(HT)in adults,and to analyze the impact of positional errors in the treatment on the actually received dose.Methods:Imaging data from four adult patients with acute myeloid leukemia were treated at the First Medical Center of the Chinese PLA General Hospital between November 2022 and December 2024 were retrospectively selected.The prescribed dose was 12 Gy in 3 fractions,and the heights range of patient was from 162 to 178 cm.The planning target volume(PTV)included the entire bone marrow and lymphatic drainage regions.The mid-femur was used as the dividing landmark,and the segmented location of head-in first(upper segmentation)and foot-in first(lower segmentation)were adopted to design plan for each segmentation.The upper segmentation used helical tomotherapy,and the lower segmentation used tomo direct therapy.The dosimetric parameters of planning target volume,and organ at risk(OAR)included eye lens,testicles and lungs were analyzed.The located computed tomography(CT)images of patients were used to simulate the changes of dosimetric parameters of each planning target region and OAR when the positions of patients moved 3,5,10 and 15 mm to outside of rack aperture.The changes of dose distribution of connection region of upper and lower segmentation were further analyzed.Results:The segmented irradiation technique can better achieve the cover(95%)of whole target region of TMLI under the condition of protecting normal organs.Under the condition with different position errors,the cover rate of the most of target region significant decreased.The largest dose of right lens increased 9.272%than primary under the 5 mm position error,and that of left and right lens increased respectively 40.199%and 67.898%under the 10 mm position error,and the max dose and mean dose of testicles increased respectively 5.847%and 5.240%under the 3mm position error.The mean dose of whole lung increased all under the error at different grades,which increased 3.021%under the 10mm position error.The non-uniformity of dose distribution of connection region increased after the position error was introduced,and the largest variation range reached to 4 Gy.Conclusion:The technique of segmented radiotherapy of Helical Tomotherapy has feasibility for TMLI of adult.But the error of the position of patients can reduce the cover of target region,and decrease the control rate for target region,and can lead to the occurrences of excessive doses on eye lens,testicles,lung and other OAR at the same time,which can increase the probability of occurring OAR injury.It should be high pay attention in treatment and implementation.

Objective:To investigate the dosimetric influence of scattering dose mode of border distance on treatment plan when designed CyberKnife(CK)treatment plan for patients with metastatic spinal carcinoma.Methods:The located imaging data of 20 patients with metastatic carcinoma of thoracic vertebrae from radiotherapy of the 940th Hospital of People's Liberation Army Joint Service Support Force between January 2022 and March 2024 were retrospective selected.Using the G4 CyberKnife(CK)treatment plan system MultiPlan 4.0.3 to design respectively CK treatment plans for planning target volume(PTV)and gross tumor volume(GTV).They were divided into PTV group[20 cases who adopted conventional plan method on spinal cord of organs at risk(OAR)in limited dose],and GTV group(20 cases who adopted scattering dose mode of border distance on OAR spinal cord in limited dose).Finally,the prescription dose line was normalized to the PTV.The dosimetric parameters of the target volumes and normal tissues,as well as the distribution of dose curves,were compared between the two groups.Results:The GTV group showed a significant advantage in coverage rate(91.57%±8.73%)of target volume,which was significantly higher than(83.23%±16.05%)of PTV group,with a statistically significant difference(t=3.44,P<0.05).The conformity index(CI)values of GTV group and PTV group were respectively(1.07±0.35)and(1.14±0.04),and there was statistically significant difference between two groups(t=14.69,P<0.05),which indicated better conformity in the GTV group.The distance dose gradient index(DDGI)values per unit distance of GTV group and PTV group were respectively(89.43±46.12)mm and(152.07±109.81)mm,and the difference of that was significant between two groups(t=4.89,P<0.05),the gradient of dropping dose in normal tissue of GTV group had more advantages.The homogeneity index(HI)values of the dose within target volume in GTV group and PTV group were respectively(1.55±0.84)and(1.42±0.20),which also showed a statistically significant difference(t=24.37,P<0.05),and the dose gradient within target volume of GTV group was higher.At the same time,the differences of the parameters of absorbed dose within GTV target volume included D2,Dmean and D95 between two groups were significant(t=14.96,4.71,3.03,P<0.05),and the absorbed dose within GTV target volume in GTV group was higher.Additionally,there were significant differences in the parameters of absorbed dose within PTV target volume included D2,Dmean,D95(cGy)between two groups(t=8.27,5.51,2.50,P<0.05).Within the PTV target volume,the absorbed doses of GTV group was higher than that of PTV group.There were not statistically significant differences between the two groups in terms of the exposure dose of spinal cord,monitor units(MU),total treatment time(times),and total number of beams(beams)(P>0.05).Conclusion:When designing CK treatment plans,the plan that uses GTV as target to utilize scattering dose mode of border distance to design plan in GTV group is better than the plan in PTV group that uses PTV as target in coverage rate of target volume,CI,DDGI,HI and absorbed dose of target volume,which is better design mode of CK plan.

Objective:To investigate application effect of liquid-based cytology screening based on artificial intelligence(AI)technique in diagnosing precancerous lesions of cervix,so as to provide basis for early diagnosis and treatment about cervical cancer.Methods:A total of 2 406 cervical liquid-based cytology specimens that were collected from the Health Medical Physical Examination Center of Peking Union Medical College Hospital during January and February 2024.AI-powered pathology platforms were employed to perform pathological diagnosis on submitted tissue samples,and the AI-assisted diagnostic results were compared with microscopic diagnosis results by senior cytopathologists.The pathological images of liquid-based cell sheet were automatically screened through deep convolutional neural network(DCNN),and the results of senior cytopathologists were used as"gold standard"to judge all diagnostic results.The accuracy of AI was analyzed in rapidly identifying precancerous lesions or early-stage cervical cancer.Results:Among 2 406 pathological diagnoses,2 054 specimens were negative and 352 positive.Of the 352 positive cases,123 cases Atypical squamous cells cannot exclude high-grade squamous intraepithelial lesions(ASCH)66 cases showed atypical squamous cells(ASCUS),83 cases showed low-grade squamous intraepithelial neoplasia(LSIL),9 cases showed high-grade squamous intraepithelial neoplasia(HSIL),70 cases showed infectious lesions(including bacterial vaginosis,Candida albicans,trichomoniasis,and actinomycosis),and 1 case showed atypical glandular cells(AGC).The AI-assisted imaging system achieved an overall diagnostic positive accuracy rate of 95.20%(335/352)and 90.76%,and the sensitivities of that in diagnosing ASCUS and LSIL were respectively 36.72%and 98.00%,all of which were higher than the diagnostic results of physicians with junior and intermediate professional titles,and the differences were significant(x2=11.81,21.97,P<0.05).The time of AI system in reading images was 49 s,while those of pathologists with junior and intermediate professional titles were respectively 125 s and 80 s.Conclusion:The AI system has higher sensitivity in liquid-based cytology screening for cervix,and its diagnostic efficiency has a certain of advantages.The application of AI-assisted diagnosis has substantially improved the accuracy and reliability of diagnosing precancerous lesions of cervix.

Objective:To design an inspection system for quality of metabolism tester based on alcohol combustion mode for human body,so as to realize assessment for accuracy degree of human metabolism tester.Methods:According to the specific indicators that were measured by the metabolism tester for human body,a simulation of bidirectional controllable flow and a simulation of component concentration of exhaled breath were designed and realized.Then,the ratio of alcohol consumption to oxygen consumption and carbon dioxide production were calculated by the formula of alcohol combustion.Finally,the metabolic indexes(volume of gas flow,oxygen consumption,dioxide carbon production,rate of energy metabolism,respiratory quotient)that were outputted by the inspection system for quality were calculated according to Weir formula.Furthermore,the verification for precision of simulation modules of exhale and inhalation,and weighing device module was carried out,and an application test of inspection system for quality was also carried out.Results:The errors of the volume of gas flow and alcohol consumption that were outputted by simulation modules of exhale and inhalation,and weighing device module were all within±1%,and the errors between the reference value of the metabolic index of the inspection system for quality and the actually measured value of the metabolic index of the hood calorimeter were all within 10%.Conclusion:There was higher consistency between inspection system for quality of metabolism tester for human body and the actual measurement data of calorimeter,which can better simulate the process of respiratory metabolism of human body,and provide standardized testing means for the performance verification of metabolic tester.