Objective To establish typical values for interventional diagnosis and treatment at our institution, use these values as a tool to evaluate patient medical exposure doses, and optimize radiation protection measures. Methods From June to December 2023, we collected information on 593 adult cardiovascular interventional diagnosis and treatment surgeries, including surgery type, equipment model, air kerma-area product (KAP), incident reference point air kerma (K_a,r), perspective time (FT), and exposure mode. Results The typical value of cardiovascular interventional diagnosis at our institution in 2023 was 27.5 Gy·cm². The typical value of cardiovascular interventional treatment was 70.0 Gy·cm². The FT, KAP, and K_a,r of interventional surgeries were significantly higher than those of interventional diagnosis (P < 0.01). There were significant correlations between FT, KAP, and K_a,r (P < 0.01). Conclusion The results of this study were slightly different from those of other studies. They provide typical data and reference values for cardiovascular interventional diagnosis and treatment dose levels in Beijing and are helpful for dose optimization between different medical institutions.

Objective:To evaluate the correlation and consistency between quantitative coronary flow fraction (QFR) and cardiac magnetic resonance imaging (CMR) in assessing myocardial ischemia in patients with coronary heart disease (CAD).Methods:A retrospective analysis was conducted on the data of coronary heart disease patients who underwent load CMR examination and coronary angiography at the Beijing Anzhen Hospital, Capital Medical University from August 2017 to March 2022. CMR examination includes cardiac cine, load/rest myocardial perfusion imaging, and delayed enhancement sequence. According to the results of CMR examination, the patient′s left ventricular myocardial segments were divided into normal segment group and abnormal segment group (further divided into ischemic segment group and infarcted segment group). On the basis of coronary angiography, an artificial intelligence based platform (AngioPlus system) was applied to calculate the preoperative coronary artery QFR value of patients undergoing percutaneous coronary intervention treatment. Kappa test was used to evaluate the consistency of QFR and CMR in diagnosing abnormal myocardium; Mann Whitney U test was used to compare the differences in QFR between groups; The receiver operating characteristic (ROC) curve was used to evaluate the efficacy of QFR in diagnosing abnormal myocardium; Spearman correlation analysis was used to clarify the relationship between myocardial infarction area and QFR value of the supplying coronary artery in patients.Results:Among the 70 CAD patients enrolled, there were 60 males and 10 females, aged (54.1±11.1)years. At the vascular level, the consistency between QFR and CMR in diagnosing myocardial injury (including ischemia and infarction) is moderate (Kappa value=0.514). The sensitivity and specificity of detecting abnormal myocardial segments in CAD patients were 57% and 91%, respectively. The area under the curve (AUC) value of QFR predicting abnormal myocardium in CAD patients was 0.769, and the optimal cutoff value was QFR=0.865. At this time, the sensitivity and specificity of QFR predicting myocardial injury in CAD patients were 67.2% and 84.3%, respectively. The difference in vascular QFR between the normal segment group, ischemic segment group, and infarcted segment group was statistically significant ( P<0.001), with the infarcted segment group having significantly lower QFR values than the other two groups (all P<0.01). The range of myocardial infarction was negatively correlated with the QFR value of the supplying coronary artery ( r=-0.45, P<0.001). At the patient level, the consistency between QFR and CMR in diagnosing myocardial injury (including ischemia and infarction) was moderate (Kappa value=0.445), with a sensitivity of 74% and a specificity of 81% for diagnosing myocardial injury in CAD patients. Conclusions:Compared with CMR, QFR has better specificity in detecting myocardial injury in CAD patients. The QFR value of the infarcted segment group is significantly lower than that of the ischemic group and the normal group. The area of myocardial infarction is negatively correlated with the QFR value of the supplying coronary artery.

Objective To compare the response capability of active personal dosimeters (APDs) in the pulse radiation field of interventional radiology, and to find APDs that can be used for dose optimization monitoring for interventional radiology staff. Methods Seven models of APDs and dose monitoring systems were tested in the following four types of radiation fields: continuous radiation field (Cs-137), single-pulse radiation field (80 kV, 10 mA, 10～1000 ms), multi-pulse standard radiation field (70 kV, 20～500 mA, 1～20 ms/pulse, frames per second 1～20), and multi-pulse scattering field (angiography machine, irradiation field: 15 cm × 15 cm, 22 cm × 22 cm, 27 cm × 27 cm, angiography: 65～74 kV, 6.2～8.2 mA; photography: 65 kV, 343～479 mA). Results All APDs showed good dose responses in the continuous radiation field. The ratio of the results obtained with and without phantom was 1～1.1. In the single-pulse radiation field, DMC3000 and TruDose showed good dose response, linearity, and repeatability. Under the main ray of the multi-pulse radiation field, DMC3000 and TruDose showed good dose response, linearity, and repeatability as the dose rate increased, and there were 5%～13% differences in the response ability between the two models. In angiography machine scattering field, the ratios of the results obtained from DMC3000, TruDose, and RaySafei3 to those from thermoluminescence dosimeter were 1.08 ± 0.09, 0.95 ± 0.11, and 1.13 ± 0.11, respectively. Conclusion DMC3000, TruDose, and RaySafei3 can be used in clinics as auxiliary dosimeters to optimize radiation dose monitoring and radiation protection measures for people at high risk of occupational diseases. Interventional radiology workers can implement actions to reduce the cumulative dose based on real-time dose information, thereby reducing the radiation dose.

Objective:To explore the value of predicting new-onset heart failure events in patients with hypertrophic cardiomyopathy (HCM) using clinical and cardiac magnetic resonance (CMR) features based on machine learning algorithms.Methods:The study was a retrospective cohort study. Patients with a confirmed diagnosis of HCM who underwent CMR examinations at Beijing Anzhen Hospital from May 2017 to March 2021 were selected and randomly divided into the training set and the validation set in a ratio of 7∶3. Clinical data and CMR parameters (including conventional parameters and radiomics features) were collected. The endpoint events were heart failure hospitalization and heart failure death, with follow-up ending in January 2023. Features with high stability and P value<0.05 in univariate Cox regression analysis were selected. Subsequently, three machine learning algorithms—random forest, decision tree, and XGBoost—were used to build heart failure event prediction models in the training set. The model performance was then evaluated using the independent validation set, with the performance assessed based on the concordance index. Results:A total of 462 patients were included, with a median age of 51 (39, 62) years, of whom 332 (71.9%) were male. There were 323 patients in the training set and 139 in the validation set. The median follow-up time was 42 (28, 52) months. A total of 44 patients (9.5% (44/462)) experienced endpoint events (8 cases of heart failure death and 36 cases of heart failure hospitalization), with 31 events in the training set and 13 in the validation set. Univariate Cox regression analysis identified 39 radiomic features, 4 conventional CMR parameters (left ventricular end-diastolic volume index, left ventricular end-systolic volume index, left ventricular ejection fraction, and late gadolinium enhancement ratio), and 1 clinical feature (history of non-sustained ventricular tachycardia) that could be included in the machine learning model. In the prediction models built with the training set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.966 (95% CI 0.813-0.995), 0.956 (95% CI 0.796-0.992), and 0.973 (95% CI 0.823-0.996), respectively. In the validation set, the concordance indices for the random forest, decision tree, and XGBoost models were 0.854 (95% CI 0.557-0.964), 0.706 (95% CI 0.399-0.896), and 0.703 (95%CI 0.408-0.890), respectively. Conclusion:Integrating clinical and CMR features of HCM patients through machine learning aids in predicting heart failure events, with the random forest model showing superior performance.

Objective:To report a single-center experience with the Cordis Incraft endograft with low-profile in abdominal aortic aneurysms (AAAs) with severe infrarenal neck.Methods:All patients underwent EVAR with Incraft stent grafts between September 2019 and September 2022, were prospectively enrolled, and retrospectively analyzed. Anatomical details of the proximal aortic neck were evaluated, divided into the severe infrarenal neck (SIN, 13 cases) and normal infrarenal neck (NIN, 50 cases) groups. Early endpoints were intraoperative unplanned cuff or coil embolism, technical success (TS), 30-day morbidity/mortality, and reinterventions. Follow-up endpoints were occurrence of endoleaks, endograft migration, branch stent/ iliac stent-graft stenosis or occlusion, reintervention. The postoperative endoleak, aneurysm sac shrinkage, patency of iliac stent-graft/branch stent, and freedom from reinterventions between the two groups were compared.Results:A total of sixty-three patients were enrolled in this trial, all of whom were successfully treated. There was no significant difference in patient and lesion characteristics, excluding aneurysm neck length, neck angle and maximum aneurysm sac diameter. Proximal aneurysm neck length was shorter in the SIN group [(9.9±8.3)mm vs. (29.6±12.3)mm, P<0.001] and the neck angle was more tortile in the SIN group [(39.1±30.4)°vs.(25.1±15.4)°, P=0.036], as well maximum sac diameter was larger in the SIN group [(57.5±13.4)mm vs. (45.5±12.4)mm, P=0.016]. Although the results showed no differences between the two groups regarding the oversize rate of the main body stent graft, endoleak in operative and perioperative period, as well the hospital stay, the operative time was significantly longer in the SIN group [(96.36±31.83)min vs. (63.58±26.68)min, P=0.001]. Over the 3 years of follow-up (median time, 18 months), there were significant differences between the two groups regarding the complication occurrence of endoleak, renal stent or iliac stent-graft stenosis/occlusion ( P=0.012), and reintervention ( P=0.044). Conclusion:Data from this trial demonstrated excellent early and mid-term outcomes of EVAR using Incraft stent grafts, including severe infrarenal neck, with acceptable safety and efficacy in the short and middle terms.

Objective:To summarize and analyze the early clinical outcomes of aortic endovascular remodeling device (AERD) for single-stage complete repair of acute aortic dissection.Methods:A total of 19 patients with acute aortic dissection who underwent proximal aortic dissection repair combined with distal AERD implantation at the Center for Aortic Surgery of Beijing Anzhen Hospital, Capital Medical University between May 2023 and October 2023, of whom 6 had type A aortic dissection and 13 had type B aortic dissection, were retrospectively analyzed. One-month postoperative follow-up and aortic CTA were completed to compare pre- and postoperative abdominal branch outcomes and aortic wall remodeling.Results:The success rate of AERD implantation in this patient cohort was 100%, and no complications such as paraplegia or visceral ischemia were observed during the perioperative and postoperative follow-up periods. All abdominal branches were patent postoperatively, and 15 branches had preoperative " high-risk" subtype malperfusion, 14 of which improved postoperatively. All patients showed significant increase of the true lumen volume compared with the preoperative one, and 89.5% (17/19) had a postoperative true lumen/overall volume ratio of more than 70%.Conclusion:The single-stage complete repair of proximal aortic dissection repair combined with distal AERD implantation is simple, safe and effective, associated with satisfactory early outcomes.

Objective:This study aims to summarize the pathological anatomy characteristics of residual aortic dissection (RAD) in patients with acute aortic dissection (AAD) during the perioperative period by measuring and analyzing the preoperative and postoperative 60-day computed tomography angiography (CTA) images of the aorta, with the intention of guiding further clinical treatment.Methods:A retrospective cohort study design was adopted. A total of 224 patients hospitalized with acute aortic dissection from December 2021 to October 2022 at a single center were included according to inclusion and exclusion criteria and divided into two groups based on Stanford classification. Computed tomography angiography (CTA) images of the aorta during the perioperative period (preoperative or postoperative 60 days) were collected, and relevant indicators were measured to describe the pathological anatomy characteristics of residual aortic dissection.Results:Among the measured range, there were 4 patients (1.8%) without distal tears, with a total of 648 identified distal tears. The numbers of tears in the A, B, and C segments were 211 (32.6%), 203 (31.3%), and 234 (36.1%), respectively. The average numbers of tears in the A, B, and C segments were 0.9±1.1, 0.9±0.9, and 1.0±1.2 per person, respectively. The corresponding average tear areas were(34.9±46.7)mm 2, (29.0±30.5)mm 2, and(18.6±23.9)mm 2, respectively. The average distances from tears to the upper and lower edges of the celiac trunk were(36.8±33.2)mm and(2.3±3.8)mm, respectively; to the upper and lower edges of the superior mesenteric artery (SMA) were(2.3±4.1 )mm and(1.2±2.6) mm, respectively; to the upper and lower edges of the left renal artery were(0.1±0.6) mm and(38.5±24.4) mm, respectively; and to the upper and lower edges of the right renal artery were(0.7±2.6) mm and(8.1±17.3) mm, respectively. True lumen blood supply for the celiac trunk was observed in 151 cases (67.4%); dual luminal supply in 49 cases (21.9%); and false lumen supply in 24 cases (10.7%). True lumen blood supply for the SMA was observed in 187 cases (83.5%); dual luminal supply in 32 cases (14.3%); and false lumen supply in 5 cases (2.2%). True lumen blood supply for the left renal artery was observed in 150 cases (67.0%); dual luminal supply in 27 cases (12.1%); and false lumen supply in 47 cases (21.0%). True lumen blood supply for the right renal artery was observed in 148 cases (66.1%); dual luminal supply in 30 cases (13.4%); and false lumen supply in 46 cases (20.5%). True lumen blood supply for both renal arteries was observed in 83 cases (37.1%); dual luminal supply in 4 cases (1.8%); and false lumen supply in 1 case (0.5%). Conclusion:The results of this study suggest that the average number of distal tears per person in patients with AAD is 2.9±1.9, with only 1.8% of patients having no distal tears. The average tear areas in the A, B, and C segments are(34.9±46.7) mm 2, (29.0±30.5) mm 2, and (18.6±23.9) mm 2, respectively. 61.2% of patients have tears in the abdominal aortic branch segment, and the tears are located at the same level as the abdominal aortic branches. Among the branches of the abdominal aorta, the renal arteries are most commonly affected by dissection, while the SMA is least affected. This study elucidates the anatomical basis for the limitations of existing repair methods and provides a theoretical basis for the design of subsequent repair techniques.

Objective:To evaluate the safety and effectiveness of ARAHKEY(arterial closure using an additional hemostatic device that is deeply compatible with an extravascular suturing device) technique during percutaneous transluminal repair of thoracic aortic disease(TEVAR).Methods:From January 2021 to January 2023, a total of 202 patients underwent TEVAR in our center.24 patients were treated with ARAHKEY technology, which involves using an additional 7F Exosel at the femoral artery puncture site to achieve hemostatic effect when two ProGlide embedded sutures cannot achieve hemostatic effect.Results:All patients achieved complete hemostasis.The mean time for compression hemostasis was(5.8±2.6)min.In this study cohort, no complications including recurrent bleeding, infection, and late acquired hematoma were observed.Conclusion:ARAHKEY technology is a safe method that can be considered as the primary choice when using ProGlide during TEAVR without achieving hemostatic effects.

Objective To compare the radiation dose of in vitro pre-fenestration and in situ fenestration thoracic endovascular aortic repair(TEVAR)in treatment of aortic disease.Methods Data of 51 patients with aortic diseases who received in vitro pre-fenestration(group A)and 21 cases who underwent in situ fenestration(group B)TEVAR were retrospectively analyzed.The fluoroscopy duration,total reference air kerma(AK),total dose area product(DAP)and TEVAR time were compared between groups.Results TEVAR was successfully completed in all 72 patients.Fluoroscopy duration([21.42±8.04]min vs.[34.57±9.07]min)and total DAP(44315.0[31157.0,56307.5]μGy·m2 vs.72153.0[45460.0,82354.0]μGy·m2)in group A were both significantly lower than those in group B(both P＜0.05),while total AK(2423[1638,3533]mGy vs.3600[1898,3921]mGy)and TEVAR time([83.41±22.89]min vs.[81.00±22.13]min)in group A were not significant different from those in group B(both P＞0.05).Conclusion Compared with in situ fenestration TEVAR,both the fluoroscopy time and total DAP of in vitro pre-fenestration TEVAR significantly reduced for treating aortic diseases.

Objective:To investigate the value of radiomics features derived from cardiac MR (CMR) cine images for predicting late gadolinium enhancement (LGE) in patients with hypertrophic cardiomyopathy (HCM).Methods:Firstly, a total of 300 HCM patients with definite diagnosis who underwent CMR examination in Beijing Anzhen Hospital from May 2017 to August 2021 were retrospectively included, and were divided into a training set and a test set with a proportion of 7∶3 using random stratified sampling method. Then, a total of 89 HCM patients with definite diagnosis who underwent CMR examination in Beijing Anzhen Hospital from January 2022 to May 2023 were included for external validation. The CVI42 software was used to obtain the cardiac function parameters. Intraclass correlation coefficient (ICC), Pearson correlation coefficient and least absolute shrinkage and selection operator (LASSO) were used to select radiomics features. Finally, LASSO regression and three machine learning algorithms (including support vector machine, linear discriminant analysis and naive Bayes) were used to build prediction models. The area under the receiver operating characteristic curve (AUC) was used to evaluate the prediction value of the model.Results:Totally 1 409 features were extracted from each patient, and 19 features were retained to build radiomics signature after dimension reduction. Although no significant differences among the four methods, the prediction performance and stability of LASSO regression were relatively good. The AUC was 0.795 (95%CI 0.735-0.855) in the training set, 0.765 (95%CI 0.668-0.862) in the test set and 0.721(95%CI 0.598-0.845) in the external validation set.Conclusions:The features extracted from CMR cine images can be used to predict LGE in HCM patients. LASSO regression is recommended for model construction.