Objective:To explore the value of an integrated modeling approach combining radiomics, dosiomics, and clinical factors in the prediction of the locoregional recurrence (LRR) risk after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma (HPSCC), in order to provide supplementary clinical evidence and decision-making basis for personalized treatment for this rare disease characterized by low incidence and poor prognosis.Methods:The clinical images and pathological data were retrospectively enrolled from 76 HPSCC patients treated at the Peking University Cancer Hospital from October 2011 to July 2020. The planning gross tumor volumes (PGTVs) were taken as the volumes of interest (VOIs). A total of 1 316 radiomic and dosiomic features were extracted from the planning CT and dose distribution images. After stability testing, feature dimensionality reduction was achieved using least absolute shrinkage and selection operator (LASSO) regression and principal component analysis (PCA), with radiomic principal components (RPCs) and dosiomic principal components (DPCs) obtained, respectively. Using various combinations of RPCs, DPCs, and clinical variables as predictors, multivariate Cox regression models were developed after 5-fold cross-validation 100 times. The model performance was evaluated based on the Akaike information criterion (AIC) and concordance index (C-index).Results:Using two RPCs and three DPCs selected, dosiomics and radiomic Cox proportional hazards models were constructed, with C-index values of 0.781 and 0.778 and AIC values of 94.44 and 92.27, respectively. The result indicated that one RPC and three DPCs showed significant associations in Cox regression ( P < 0.05). Other prediction models were established by integrating the clinical data of patients with radiomic features, dosiomic features, or both. The prediction result demonstrated that compared to models based on individual factors or dual components, the multi-omics model yielded the highest prediction accuracy (C-index: 0.823, AIC: 84.94). Conclusions:Integrated models that combine radiomic features, dosiomic features, and clinical factors demonstrate great potential for enhancing the accuracy of LRR risk prediction. These models are expected to provide decision-making support for devising personalized treatment strategies and ultimately improve the prognosis of HPSCC patients.

Objective:To evaluate the outcomes of intensive conservative treatment compared to conventional conservative treatment in patients with acute aortic syndrome(AAS).Methods:The study prospectively enrolled consecutive patients with AAS who were admitted to Beijing Anzhen Hospital, affiliated with Capital Medical University, and Beijing Dawanglu Emergency Rescue Hospital from January 2024 to December 2024. These patients with surgical contraindications or refused surgery for various reasons opted for conservative treatment. A total of 282 patients were included, and 15 patients with missing data or those who died without any treatment were excluded. Finally, 267 patients were enrolled, of whom 94 received intensive conservative treatment, and 173 received conventional conservative treatment, the inverse probability of treatment weighting (IPTW) was used to reduce the influence of confoundings. After adjusting of baseline datas via IPTW, the survival outcomes of the two groups were compared at 14 days, 30 days, and at the end of follow-up.Results:The results showed significant differences in acute phase survival rates between the enhanced conservative treatment group and the conventional conservative treatment group at 14 days(82.40%vs.53.20%, P<0.0001). Significant survival differences were also observed at 30 days and at 276-day mid-term follow-up (96.29% vs.51.60%, P<0.0001; 78.50% vs.48.50%, P<0.0001). In the subgroup analysis, for type A aortic dissection, the enhanced conservative treatment group had higher survival rates compared to the conventional conservative treatment group at 14, 30 and 276 days (63.46% vs.41.35%, P<0.05; 52.17% vs.37.90%, P<0.05; 50.00% vs. 31.97%, P<0.05). However, for type B aortic dissection, although the enhanced conservative treatment group had higher survival rates than the conventional conservative treatment group, no statistically significant differences were observed (96.29% vs. 80.00%, P=0.054; 95.65% vs.78.37%, P=0.067; 94.12% vs.74.20%, P=0.088). Conclusion:For patients diagnosed with AAS are forced to choose conservative treatment if emergency surgery is not possible in the first place, intensive conservative treatment strategies can significantly reduce the mortality in the acute phase compared with conventional conservative treatment. Mid-term follow-up, intensive conservative treatment still has a significant survival advantage.

Objective:To explore the value of an integrated modeling approach combining radiomics, dosiomics, and clinical factors in the prediction of the locoregional recurrence (LRR) risk after radiotherapy for patients with locoregionally advanced hypopharyngeal squamous cell carcinoma (HPSCC), in order to provide supplementary clinical evidence and decision-making basis for personalized treatment for this rare disease characterized by low incidence and poor prognosis.Methods:The clinical images and pathological data were retrospectively enrolled from 76 HPSCC patients treated at the Peking University Cancer Hospital from October 2011 to July 2020. The planning gross tumor volumes (PGTVs) were taken as the volumes of interest (VOIs). A total of 1 316 radiomic and dosiomic features were extracted from the planning CT and dose distribution images. After stability testing, feature dimensionality reduction was achieved using least absolute shrinkage and selection operator (LASSO) regression and principal component analysis (PCA), with radiomic principal components (RPCs) and dosiomic principal components (DPCs) obtained, respectively. Using various combinations of RPCs, DPCs, and clinical variables as predictors, multivariate Cox regression models were developed after 5-fold cross-validation 100 times. The model performance was evaluated based on the Akaike information criterion (AIC) and concordance index (C-index).Results:Using two RPCs and three DPCs selected, dosiomics and radiomic Cox proportional hazards models were constructed, with C-index values of 0.781 and 0.778 and AIC values of 94.44 and 92.27, respectively. The result indicated that one RPC and three DPCs showed significant associations in Cox regression ( P < 0.05). Other prediction models were established by integrating the clinical data of patients with radiomic features, dosiomic features, or both. The prediction result demonstrated that compared to models based on individual factors or dual components, the multi-omics model yielded the highest prediction accuracy (C-index: 0.823, AIC: 84.94). Conclusions:Integrated models that combine radiomic features, dosiomic features, and clinical factors demonstrate great potential for enhancing the accuracy of LRR risk prediction. These models are expected to provide decision-making support for devising personalized treatment strategies and ultimately improve the prognosis of HPSCC patients.

Objective:To evaluate the outcomes of intensive conservative treatment compared to conventional conservative treatment in patients with acute aortic syndrome(AAS).Methods:The study prospectively enrolled consecutive patients with AAS who were admitted to Beijing Anzhen Hospital, affiliated with Capital Medical University, and Beijing Dawanglu Emergency Rescue Hospital from January 2024 to December 2024. These patients with surgical contraindications or refused surgery for various reasons opted for conservative treatment. A total of 282 patients were included, and 15 patients with missing data or those who died without any treatment were excluded. Finally, 267 patients were enrolled, of whom 94 received intensive conservative treatment, and 173 received conventional conservative treatment, the inverse probability of treatment weighting (IPTW) was used to reduce the influence of confoundings. After adjusting of baseline datas via IPTW, the survival outcomes of the two groups were compared at 14 days, 30 days, and at the end of follow-up.Results:The results showed significant differences in acute phase survival rates between the enhanced conservative treatment group and the conventional conservative treatment group at 14 days(82.40%vs.53.20%, P<0.0001). Significant survival differences were also observed at 30 days and at 276-day mid-term follow-up (96.29% vs.51.60%, P<0.0001; 78.50% vs.48.50%, P<0.0001). In the subgroup analysis, for type A aortic dissection, the enhanced conservative treatment group had higher survival rates compared to the conventional conservative treatment group at 14, 30 and 276 days (63.46% vs.41.35%, P<0.05; 52.17% vs.37.90%, P<0.05; 50.00% vs. 31.97%, P<0.05). However, for type B aortic dissection, although the enhanced conservative treatment group had higher survival rates than the conventional conservative treatment group, no statistically significant differences were observed (96.29% vs. 80.00%, P=0.054; 95.65% vs.78.37%, P=0.067; 94.12% vs.74.20%, P=0.088). Conclusion:For patients diagnosed with AAS are forced to choose conservative treatment if emergency surgery is not possible in the first place, intensive conservative treatment strategies can significantly reduce the mortality in the acute phase compared with conventional conservative treatment. Mid-term follow-up, intensive conservative treatment still has a significant survival advantage.

Objective To explore the effect of aortic valve neo-cuspidization (AVNeo) for patients with severe aortic valve lesions simultaneously. Methods Patients who underwent AVNeo combined valve repair surgery for multiple valve diseases were included in Beijing Anzhen Hospital from May 2016 to September 2023. Results We included 11 patients with 7 males and 4 females at a median age of 38 (36, 49) years. Rheumatic heart disease was found in 5 (45.5%) patients and non-rheumatic heart disease in 6 (54.5%) patients. The median EuroSCORE Ⅱ score was 1.62 (1.18, 1.75) points. Eight patients underwent AVNeo plus mitral and tricuspid valve repair, and 3 patients underwent AVNeo plus mitral valve repair. The median operative time was 356 (315, 415) min, and the median cardiopulmonary bypass time and aortic clamping time were 203 (174, 231) min and 168 (131, 188) min, respectively. In the early stage, 2 patients underwent combined valve repair surgery, and 1 patient underwent in-hospital reoperation for aortic valve replacement because of severe aortic regurgitation. There were 9 patients in the mature stage of AVNeo, and no perioperative adverse events or moderate or above residual valvular disease occurred. All patients recovered and were discharged from the hospital. The follow-up period was 3-99 months, and no reoperation, severe valve disease, bleeding, cerebral infarction, or other adverse events occurred in all patients. Conclusion For non-elderly patients whose mitral and tricuspid valves can be repaired successfully with severe aortic valve lesions, AVNeo can be attempted after proficiency. But the operation time and cardiopulmonary bypass time will inevitably be prolonged, and the patient's basic situation should be carefully evaluated before surgery.

Objective To compare the perioperative renal function changes in patients undergoing heart transplantation (HT) and left ventricular assist device (LVAD) implantation. Methods Patients with end-stage heart failure who underwent surgical treatment at Beijing Anzhen Hospital, Capital Medical University from January 2019 to April 2024 were included. According to the surgical method, patients were divided into a HT group and a LVAD group, and the estimated glomerular filtration rate (eGFR) of patients before surgery and postoperative 1, 7, 30, 60 days was compared between the two groups. The patients with preoperative renal dysfunction were subdivided into subgroups for comparison of eGFR changes before surgery and 30 days after surgery between the two groups. Results A total of 112 patients were enrolled. There were 78 patients in the HT group, including 61 males and 17 females, aged (44.42±18.51) years. There were 34 patients in the LVAD group, including 30 males and 4 females, aged (54.94±11.37) years. Compared with the HT group, the average age of patients in the LVAD group was greater (P<0.001), body mass index was higher (P=0.008), preoperative eGFR was lower (P=0.009), and the proportions of smokers (P=0.017), alcohol drinkers (P=0.041), and diabetes mellitus (P=0.028) patients were higher. Among patients with preoperative renal dysfunction [eGFR<90 mL/(min·1.73 m2)], compared with the HT group, the postoperative eGFR of the LVAD group was significantly higher than that of the HT group, and it was significantly increased compared with that before surgery; the postoperative eGFR of the HT group was comparable to that before surgery, and more than half of the patients had a lower eGFR than before surgery. Among patients with preoperative renal dysfunction, 11 patients in the HT group received continuous renal replacement therapy, and 8 died early; 2 patients in the LVAD group received continuous renal replacement therapy, and 1 died early. Conclusion For end-stage heart failure patients with combined renal dysfunction, compared with HT, LVAD implantation enables patients to obtain better renal function benefits.

In China, more than half of heart failure patients are ischemic heart failure patients. And a large proportion of left ventricular assist device implantation patients are also ischemic heart failure patients. However, left ventricular assist device implantation in ischemic heart failure patients is facing with problems such as patient screening, coronary artery disease, small left ventricle, mitral insufficiency, and ventricular aneurysm. There are only a few retrospective studies with small sample sizes abroad trying to provide solutions to these problems. While there is a lack of systematic understanding of this issue in China. Therefore, we provide an overview of the application and progress of left ventricular assist devices in ischemic heart failure patients, aiming to help clinicians have a comprehensive understanding of this issue and provide some guidance.

Objective:To investigate the correlation between intraoperative red blood cell (RBC) transfusion and postoperative continuous renal replacement therapy (CRRT) in patients with acute type A aortic dissection (ATAAD).Methods:Clinical data of 302 patients undergoing emergency surgery for ATAAD in the Department of Cardiac Surgery at Beijing Anzhen Hospital from September 2015 to October 2020 were retrospectively analyzed. Among them, 238 were males with a nean age of(46.3±10.0) years old; 64 were females with a mean age of (52.0±11.7) years old. Patients were divided into the CRRT group and the non-CRRT group based on whether they received CRRT postoperatively. Logistic regression analysis was used to investigate the correlation between intraoperative RBC transfusion and postoperative CRRT. Results:Forty-two patients (13.9%) required CRRT postoperatively. Univariate logistic regression analysis showed that intraoperative RBC transfusion increased the risk of postoperative CRRT ( OR=2.499, 95% CI: 1.266-4.470, P=0.008). However, after adjusting for other variables, multivariate logistic regression analysis showed that the association was not statistically significant ( OR=1.777, 95% CI: 0.583-5.417, P=0.312). Conclusion:The increased risk of postoperative CRRT in ATAAD patients due to intraoperative RBC transfusion is caused by confounding factors, and they are actually not significantly correlated.

Objective:To investigate the correlation between intraoperative red blood cell (RBC) transfusion and postoperative continuous renal replacement therapy (CRRT) in patients with acute type A aortic dissection (ATAAD).Methods:Clinical data of 302 patients undergoing emergency surgery for ATAAD in the Department of Cardiac Surgery at Beijing Anzhen Hospital from September 2015 to October 2020 were retrospectively analyzed. Among them, 238 were males with a nean age of(46.3±10.0) years old; 64 were females with a mean age of (52.0±11.7) years old. Patients were divided into the CRRT group and the non-CRRT group based on whether they received CRRT postoperatively. Logistic regression analysis was used to investigate the correlation between intraoperative RBC transfusion and postoperative CRRT. Results:Forty-two patients (13.9%) required CRRT postoperatively. Univariate logistic regression analysis showed that intraoperative RBC transfusion increased the risk of postoperative CRRT ( OR=2.499, 95% CI: 1.266-4.470, P=0.008). However, after adjusting for other variables, multivariate logistic regression analysis showed that the association was not statistically significant ( OR=1.777, 95% CI: 0.583-5.417, P=0.312). Conclusion:The increased risk of postoperative CRRT in ATAAD patients due to intraoperative RBC transfusion is caused by confounding factors, and they are actually not significantly correlated.

Objective:To evaluate the accuracy and stability of stereotactic radiosurgery (SRS) algorithm in optical surface imaging (OSI) system in non-coplanar radiotherapy.Methods:Three OSI imaging systems were used to measure the phantom repeatedly at different couch rotation angles to analyze the accuracy and stability of OSI system. Seven patients with multiple brain metastases who underwent single-center non-coplanar radiotherapy were randomly selected, and the accuracy and stability of OSI for patient imaging were analyzed. Stability is defined as the difference between the two OSI measurements when the couch is turned from 0° to a non 0° angle, and then back to 0°, using the 0° cone beam CT (CBCT) as the "gold standard". Accuracy is defined as the difference between OSI and CBCT (at 0° couch angle) measurement data. The measurement data with normal distribution were described as Mean ± SD. The data with non-normal distribution were expressed as M (Q). The difference of the former data was compared by one-way ANOVA, and the difference of the latter data was assessed by Kruskal-Wallis H nonparametric test. Results:For non-coplanarity, the translation accuracy of the phantom and the patient was ≤ 1.30 mm and ≤ 1.00 mm, and the rotation accuracy was ≤ 0.50° and ≤ 0.60°, respectively. The translation errors mainly occurred in the left-right and head-foot directions. In terms of stability, the maximum standard deviation of phantom coplanar translation and rotation was 0.06 mm and 0.06°. The maximum standard deviation of patient translation and rotation was 0.17 mm and 0.19°.Conclusions:Although the new SRS algorithm improves the non-coplanar accuracy, it still cannot meet the precise requirements of non-coplanar single isocenter radiotherapy for multiple brain metastases, especially in the left-right and head-foot directions. When the couch rotation angle is large, OSI is not recommended for image-guided radiotherapy. However, its high stability can be used to monitor the intrafractional motion of patients.