Purpose To explore the application value of auto-prescription technique in CT portal venography and liver volume measurement.Materials and Methods A total of 180 patients who underwent contrast-enhanced abdominal CT in the First Affiliated Hospital of Dalian Medical University from April to November 2022 were prospectively collected and randomly divided into two groups,with 90 cases in each group.Group A(experimental group)was scanned with auto-prescription technique.Group B(conventional group)was scanned with 120 kVp,and the other imaging parameters kept the same as group A.In group A,the correlation between body mass index and tube voltage(kVp)recommended by auto-prescription technique was analyzed.The following values were compared between group A and group B,including the volume CT dose index,dose length product,CT value of portal vein and liver,standard deviation,contrast-to-noise ratio(CNR),image quality and subjective score of automatic segmentation.The liver volumes of group A and B were measured by Liver Segmentation software.The volumes measured by automatic segmentation software(Vsoft)were recorded,and then were compared with those segmented manually(gold standard)(Vstnd).Results Compared with group B,the volume CT dose index and dose length product in group A decreased by 22%and 25%(t=-4.654,-5.403,both P<0.05),respectively.The CT value and CNR of portal vein and liver in group A were higher than those in group B(t=4.857-6.011,all P<0.05).There was no significant difference in standard deviation,Vstnd and Vsoft between group A and group B(P>0.05).The consistency of subjective scores between the two observers was good(ICC=0.773-0.856,all P<0.05).The subjective scores of two-dimensional and three-dimensional images,as well as the automatic software segmentation scores in group A were higher than those in group B(Z=897.500,1 287.500,912.721,all P<0.05).The recommended kVp value in group A was positively correlated with body mass index(r=0.674,P<0.001).Conclusion The application of auto-prescription technique in CT portal venography can ensure the image quality,measure the liver volume accurately,and reduce the patient's radiation dose individually.

Objective To develop an automated bone mineral density(BMD)assessment model based on proximal femur images from abdomen-pelvic CT scans and to analyze its application value in opportunistic osteoporosis(OP)screening.Methods A retrospective selection was conducted on 351 patients who underwent abdomen-pelvic plain CT examination.The patients were randomly divided into training set(n=245)and test set(n=106)in a ratio of 7∶3.All images were transferred to a quantitative computed tomography(QCT)post-processing workstation to measure the BMD of the left proximal femur.According to the QCT BMD T-score,the patients were divided into osteoporosis(T-score-2.5),osteopenia(-2.5＜T-score＜-1)and normal bone density(T-score≥-1).The left proximal femur was dissected using an automatic segmentation model,and two three-class BMD assessment radiomics models were constructed using random forest(RF)and logistic regression(LR)classifiers,respectively.The receiver operating characteristic(ROC)curves were generated,and the area under the curve(AUC),sensitivity,specificity and other metrics were calculated to evaluate the diagnostic performance of the two models.The DeLong test was used to compare differences between the models.Results In the test set,the AUC of the RF and LR models for identifying osteoporosis were 0.953 and 0.954,respectively.The AUC for identifying osteopenia were 0.894 and 0.870,and the AUC for identifying normal bone density were 0.975 and 0.982,respectively.The comparison of model performance showed no statistically significant differences between the RF and LR models in identifying the three bone states in both the training and test sets(P＞0.05).Conclusion Both the RF and LR radiomics models,constructed based on abdomen-pelvic plain CT scans,can be used for opportunistic BMD screening with high diagnostic efficiency.

Objective To explore the feasibility of constructing a three-classification bone status screening radiomics model on chest CT images.Methods A total of 371 patients who underwent both chest and abdominal plain CT examinations were retrospec-tively selected and randomly divided into training set(296 cases)and test set(75 cases)in a ratio of 8︰2.Additionally,110 patients were included as external validation set using the same criteria.The 120 kVp abdominal images were transmitted to a quantitative compu-ted tomography(QCT)post-processing workstation to measure the bone mineral density(BMD)of the L1-L2 vertebral bodies.Patients were classified into osteoporosis(OP)group(BMD<80 mg/cm3),osteopenia group(80 mg/cm3≤BMD≤120 mg/cm3)and normal bone mass group(BMD>120 mg/cm3)based on QCT BMD results.The automatic segmentation model was used to segment T10-T12 vertebral trabecular bone on chest CT images and the radiomics models based on random forest(RF)and logistic regres-sion(LR)was established to evaluate BMD,enabling it to simultaneously distinguish OP,osteopenia,and normal bone mass.The diag-nostic performance of the two models were evaluated using metrics such as the area under the curve(AUC),sensitivity and specificity.The DeLong test was used to compare the differences between the two models.Results In the test set,the AUC for differentiating normal bone mass were 0.948 and 0.877 for the RF and LR models,respectively;the AUC for differentiating OP were 0.942 and 0.836,respectively;and the AUC for differentiating osteopenia were 0.871 and 0.688,respectively.The performance comparison results of the models showed that there was no statistically significant difference in AUC(0.966 vs 0.907,P>0.05)between RF model and LR model in the external validation set for distinguishing OP,while there was a statistically significant difference in AUC for distinguishing osteopenia(0.895 vs 0.749,P=0.009)and normal bone mass(0.975 vs 0.906,P=0.023).The RF model performance was superior to the LR model.Conclusion The radiomics model developed based on chest plain CT can be used for opportunistic OP screening with good diagnostic efficacy,and the the model based on the RF classifier outperforms the LR model.

Objective To explore the feasibility of constructing a three-classification bone status screening radiomics model on chest CT images.Methods A total of 371 patients who underwent both chest and abdominal plain CT examinations were retrospec-tively selected and randomly divided into training set(296 cases)and test set(75 cases)in a ratio of 8︰2.Additionally,110 patients were included as external validation set using the same criteria.The 120 kVp abdominal images were transmitted to a quantitative compu-ted tomography(QCT)post-processing workstation to measure the bone mineral density(BMD)of the L1-L2 vertebral bodies.Patients were classified into osteoporosis(OP)group(BMD<80 mg/cm3),osteopenia group(80 mg/cm3≤BMD≤120 mg/cm3)and normal bone mass group(BMD>120 mg/cm3)based on QCT BMD results.The automatic segmentation model was used to segment T10-T12 vertebral trabecular bone on chest CT images and the radiomics models based on random forest(RF)and logistic regres-sion(LR)was established to evaluate BMD,enabling it to simultaneously distinguish OP,osteopenia,and normal bone mass.The diag-nostic performance of the two models were evaluated using metrics such as the area under the curve(AUC),sensitivity and specificity.The DeLong test was used to compare the differences between the two models.Results In the test set,the AUC for differentiating normal bone mass were 0.948 and 0.877 for the RF and LR models,respectively;the AUC for differentiating OP were 0.942 and 0.836,respectively;and the AUC for differentiating osteopenia were 0.871 and 0.688,respectively.The performance comparison results of the models showed that there was no statistically significant difference in AUC(0.966 vs 0.907,P>0.05)between RF model and LR model in the external validation set for distinguishing OP,while there was a statistically significant difference in AUC for distinguishing osteopenia(0.895 vs 0.749,P=0.009)and normal bone mass(0.975 vs 0.906,P=0.023).The RF model performance was superior to the LR model.Conclusion The radiomics model developed based on chest plain CT can be used for opportunistic OP screening with good diagnostic efficacy,and the the model based on the RF classifier outperforms the LR model.

Purpose To explore the application value of auto-prescription technique in CT portal venography and liver volume measurement.Materials and Methods A total of 180 patients who underwent contrast-enhanced abdominal CT in the First Affiliated Hospital of Dalian Medical University from April to November 2022 were prospectively collected and randomly divided into two groups,with 90 cases in each group.Group A(experimental group)was scanned with auto-prescription technique.Group B(conventional group)was scanned with 120 kVp,and the other imaging parameters kept the same as group A.In group A,the correlation between body mass index and tube voltage(kVp)recommended by auto-prescription technique was analyzed.The following values were compared between group A and group B,including the volume CT dose index,dose length product,CT value of portal vein and liver,standard deviation,contrast-to-noise ratio(CNR),image quality and subjective score of automatic segmentation.The liver volumes of group A and B were measured by Liver Segmentation software.The volumes measured by automatic segmentation software(Vsoft)were recorded,and then were compared with those segmented manually(gold standard)(Vstnd).Results Compared with group B,the volume CT dose index and dose length product in group A decreased by 22%and 25%(t=-4.654,-5.403,both P<0.05),respectively.The CT value and CNR of portal vein and liver in group A were higher than those in group B(t=4.857-6.011,all P<0.05).There was no significant difference in standard deviation,Vstnd and Vsoft between group A and group B(P>0.05).The consistency of subjective scores between the two observers was good(ICC=0.773-0.856,all P<0.05).The subjective scores of two-dimensional and three-dimensional images,as well as the automatic software segmentation scores in group A were higher than those in group B(Z=897.500,1 287.500,912.721,all P<0.05).The recommended kVp value in group A was positively correlated with body mass index(r=0.674,P<0.001).Conclusion The application of auto-prescription technique in CT portal venography can ensure the image quality,measure the liver volume accurately,and reduce the patient's radiation dose individually.

Objective To develop an automated bone mineral density(BMD)assessment model based on proximal femur images from abdomen-pelvic CT scans and to analyze its application value in opportunistic osteoporosis(OP)screening.Methods A retrospective selection was conducted on 351 patients who underwent abdomen-pelvic plain CT examination.The patients were randomly divided into training set(n=245)and test set(n=106)in a ratio of 7∶3.All images were transferred to a quantitative computed tomography(QCT)post-processing workstation to measure the BMD of the left proximal femur.According to the QCT BMD T-score,the patients were divided into osteoporosis(T-score-2.5),osteopenia(-2.5＜T-score＜-1)and normal bone density(T-score≥-1).The left proximal femur was dissected using an automatic segmentation model,and two three-class BMD assessment radiomics models were constructed using random forest(RF)and logistic regression(LR)classifiers,respectively.The receiver operating characteristic(ROC)curves were generated,and the area under the curve(AUC),sensitivity,specificity and other metrics were calculated to evaluate the diagnostic performance of the two models.The DeLong test was used to compare differences between the models.Results In the test set,the AUC of the RF and LR models for identifying osteoporosis were 0.953 and 0.954,respectively.The AUC for identifying osteopenia were 0.894 and 0.870,and the AUC for identifying normal bone density were 0.975 and 0.982,respectively.The comparison of model performance showed no statistically significant differences between the RF and LR models in identifying the three bone states in both the training and test sets(P＞0.05).Conclusion Both the RF and LR radiomics models,constructed based on abdomen-pelvic plain CT scans,can be used for opportunistic BMD screening with high diagnostic efficiency.

Objective:To study the changes of patient-related costs and the use of stents and other consumables before and after the centralized procurement of coronary stents.Methods:The inpatient medical insurance settlement case data of 1,973 patients with coronary stent implantation admitted to Daping Hospital of Army Medical University from December 2019 to October 2021 were selected.Among them,the data of 1,317 cases of percutaneous cardiovascular surgery and coronary stent implantation with serious or complications and accompanying disease group were slected according to disease diagnosis related groups(DRG),which were divided into the pre-centralized procurement group(667 cases)and the post-centralized procurement group(650 cases)according to the centralized procurement of coronary stents before and after.The costs of patients'medical consumables with the consumption of patients'medical consumables and the impact of the use of consumables such as coronary stents on the costs of medical consumables were compared.Results:There was no significant statistical difference in the hospitalization days and the average number of stents used in patients undergoing percutaneous cardiovascular procedures and coronary stent implantation with centralized procurement of coronary stents.There was a statistically significant difference in the total diagnosis and treatment cost,medical consumables cost,medicines and consumables cost and medicines cost between the pre-centralized procurement group and the post-centralized procurement group(Z=-22.316,-23.546,-22.917,-5.724,P<0.05).The cost of stents[16 260(13 300,32 272)yuan],the number of catheter guidewire balloon sheaths consumables[5(4,8)sets(pieces)],and the cost of catheter guidewire balloon sheaths consumables[8 719(5 805,15 372)yuan]in the pre-collection group were collected.There were statistically significant differences in the stent cost[1 059(590,1 770)yuan],the number of catheter guidewire balloon sheaths consumables[8(7,12)sets(pieces)],and the cost of catheter guidewire balloon sheaths consumables[5 708(3 392,12 871)yuan]between the two groups(Z=-30.452,16.582,-7.670,P<0.05).There was a statistical correlation between the cost of coronary stents and the cost of catheter guidewire balloon sheaths before and after centralized volume procurement on the cost of medical consumables for patients(r=0.903,0.473,0.785,0.953,P<0.05).The correlation coefficient between the cost of coronary stents and the cost of medical consumables for patients in the post-centralized procurement group decreased compared to the pre-centralized procurement group,the correlation coefficient between the cost of catheter guidewire balloon sheath and the cost of medical consumables for patients increased.Conclusion:The centralized procurement of coronary stents has a significant cost control effect on patients in the disease groups,and affects the cost structure of medical consumables.Combined with DRG reform,it can continuously improve the standardization and scientificity of clinical use of medical consumables.

Objective To investigate the application value of spectral computed tomography venography(CTV)in the display and staging of deep venous thrombosis(DVT)in the lower extremity.Methods Eighty-two patients with CTV were selected and ran-domly divided into group A(42 patients)and group B(40 patients).Group A:tube voltage 120 kVp.Group B:gemstone spectral ima-ging(GSI)mode,reconstruction of 50 keV and iodine(water)maps.The CT and standard deviation(SD)values of the veins were measured,signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated in 120 kVp images of group A and in 50 keV images of group B.Two observers scored the image quality of the 2 groups subjectively,and Kappa test was used to examine the con-sistency.Based on the duration from the occurrence of clinical symptoms,the DVTs were classified.The CT values and iodine con-centration(IC)of DVT were measured in the 120 kVp images of group A and in the iodine(water)maps of group B,respectively.The receiver operating characteristic(ROC)curve was drawn to compare the effectiveness of CT values and IC in diagnosing DVT staging.Results CT values,SNR,and CNR of veins in group B were higher than those in group A(P<0.05).The subjective scores of the two groups were consistent(Kappa=0.926-0.955,P<0.05).The score for the display of veins and thrombus clarity in group B was 5(4,5),which was better than the score of 4(3,4)in group A(P<0.05).The efficiency of IC in diagnosing DVT staging[area under the curve(AUC)=0.973]was better than that of CT values(AUC=0.891).Conclusion The spectral CTV can improve the contrast of lower extremity deep veins and the clarity of thrombus,and can provide more objective indicators for the diagnosis of thrombus staging,which is conducive to accurate clinical diagnosis and treatment.

Objective To compare the safety,effectiveness and affordability of robotic-assisted thoracic surgery and video-assisted thoracic surgery in the treatment of malignant pulmonary tumors,and provide ref-erences for the management of selection of different surgical strategies for malignant pulmonary tumors in hospitals and medical insurance departments.Methods The medical records homepages and information sys-tem data of patients with malignant pulmonary tumors who underwent major thoracic surgery in this hospital and discharged from January 1 to December 31,2022 were obtained.The patients were divided into the robotic-assistedthoracic surgery group and video-assisted thoracic surgery group according to the surgical methodolo-gies.After performing propensity score matching (PSM),no statistically significant difference was observed in baseline data between the two groups (117 cases in each group).Then the indicators of safety,effectiveness and affordability were compared between the two groups.Results Concerning the safety,the postoperative in-cision infection rate in the robotic-assisted thoracic surgery group was significantly lower than that in the vide-o-assisted thoracic surgery group (P<0.05),and the amount of intraoperative blood loss and postoperative complication rate were not significantly different between the two groups (P>0.05).Regarding the effective-ness,the average surgical duration in the robotic-assisted thoracic surgery group was appreciably shorter than that in the video-assisted thoracic surgery group (P<0.05),no patient in the two groups was converted to open thoracotomy,and there was no statistically significant difference in the average length of hospital stay and postoperative hospital stay between the two groups (P>0.05).With regard to the affordability,the aver-age inpatient expenditure per case and average daily inpatient expenditure per case in the robotic-assisted tho-racic surgery group were significantly higher than those in the video-assisted thoracic surgery group (P<0.05),and there were disparities in the cost structure between the two procedures.The medical cost,adminis-tration cost and consumables cost in the robotic-assisted thoracic surgery group were significantly higher than those in the video-assisted thoracic surgery group (P<0.05).The cost of medical technology in the robotic-assisted thoracic surgery group was significantly lower than that in the video-assisted thoracic surgery group (P<0.05).Conclusion Physicians should comprehensively consider the clinical efficacy and cost burden of patients when selecting the robotic-assisted thoracic surgery or the video-assisted thoracic surgery,and the monitoring and evaluation of the utilization of clinical robotic-assisted thoracic surgery should be strength-ened.

Objective:To explore the effects of the auto-prescription technique combined with noise index (NI) and adaptive statistical iterative reconstruction algorithm-veo (ASIR-V) on the radiation dose and image quality in the computed tomographic angiography (CTA) of the deep inferior epigastric artery (DIEA).Methods:The data of 150 cases who underwent DIEP CTA in the First Affiliated Hospital of Dalian Medical University were prospectively collected, and were randomized into groups A, B, and C, with 50 cases in each group. For group A, the conventional tube voltage was 120 kVp, and images were reconstructed using 40% ASIR-V. For group B, the tube voltage based on the auto-prescription technique was adopted, and images were reconstructed using 40%, 60%, and 80% ASIR-V (corresponding to the three subgroups B1-B3, respectively). For group C, the tube voltage based on the auto-prescription technique was employed, NI = 13, and images were reconstructed by 40%, 60%, and 80% ASIR-V (corresponding to subgroups C1, C2, and C3, respectively). Subsequently, the CT and SD values of the originating femoral artery of DIEA and the rectus abdominis at the same level as DIEA were measured on axial images of each group, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and the radiation doses of the three groups were recorded. Finally, the image quality and noise of DIEA in each group were independently and subjectively scored by two radiologists in a blinded manner.Results:Compared to group A, groups B and C exhibited higher CT values of femoral artery ( t= -5.18, -5.17, -5.06, -6.08, -6.08, -6.07, P < 0.05) and higher image SNR and CNR ( P < 0.05), which increased gradually with the upgrading of ASIR-V ( F = 55.45, 49.70, 53.47, 68.89, P < 0.05). The two radiologists offered consistent subjective evaluations (Kappa = 0.76-0.92, P < 0.05). The images of groups B and C displayed more distinct perforating branches and emerging points of DIEA and received higher subjective scores of intramuscular course compared to those of group A. The subjective scores of image noise in subgroups B2, B3, and C2 were not significantly different from those in group A. The radiation doses in groups B and C decreased by 15.10% and 52.85%, respectively compared to those in group A ( H = 75.21, P < 0.05). Conclusion:The combination of the auto-prescription technique with NI = 13 and 60% ASIR-V can reduce the radiation dose by 52.85% while ensuring a clear display of DIEA.