Objective:To investigate the efficacy and safety of bridging thrombectomy and direct thrombectomy in patients with acute anterior circulation large core infarction.Methods:A retrospective cross-sectional study was performed; 131 patients with acute anterior circulation large core infarction with an onset time≤ 24 hours received endovascular treatment (EVT) at Department of Intervention Neurosurgery, Nanyang Central Hospital, Xinxiang Medical University, from June 2022 to June 2024 were chosen; they were divided into bridging thrombectomy group (accepted intravenous thrombolysis [IVT] before EVT, n=55) and direct thrombectomy group ( n=76). Statistical analysis was conducted to compare the differences in efficacy and safety between the two groups. Efficacy indicators included modified Rankin scale (mRS) score 90 days after thrombectomy, and good prognosis rate 90 days after thrombectomy (mRS scores of 0-2). Safety indicators included intracranial hemorrhage (ICH) incidence within 72 hours of thrombectomy, symptomatic intracranial hemorrhage (sICH) incidence within 72 hours of thrombectomy, mortality 90 days after thrombectomy, and ratio of patients receiving decompressive craniectomy after surgery. Results:No significant difference between the direct thrombectomy group and bridging thrombectomy group was noted in terms of mRS score 90 days after thrombectomy (3 [2, 6] vs. 3 [2, 6]), good prognosis rate 90 days after thrombectomy (38.2% vs. 25.5%), ICH incidence within 72 hours of thrombectomy (30.3% vs. 40.0%), sICH incidence within 72 hours of thrombectomy (21.1% vs. 21.8%), mortality rate within 90 days of thrombectomy (28.9% vs. 25.5%), and ratio of patients receiving decompressive craniectomy after surgery (9.2% vs. 9.1%, P>0.05). Core infarction volume at 100 mL was used as grouping standard, subgroup analysis showed that when the core infarction volume was 70-100 mL and >100 mL, respectively, no significant difference in sICH incidence was noted between the bridging thrombectomy group and direct thrombectomy group ( P>0.05). Conclusion:For patients with acute anterior circulation large core infarction with an onset time≤ 24 hours, bridging thrombectomy has similar efficacy and safety as direct thrombectomy.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective:To discuss the correlation of pathologic findings after radical prostatectomy and preoperative 18F-PSMA-1007 PET/CT parameters with the prognosis of patients with prostate cancer. Methods:A retrospective case series study was conducted. The clinicopathological data of 48 patients with prostate cancer who underwent radical prostatectomy in Shanxi Province Cancer Hospital between January 2019 and August 2023 were retrospectively analyzed. All patients underwent 18F-PSMA-1007 PET/CT imaging before surgery. The age, the preoperative serum total prostate-specific antigen (tPSA), prostate-specific antigen density (PSAD), prostate volume, tumor diameter, TNM staging, the pathologic data after radical prostatectomy [International Society of Urological Pathology (ISUP) grade, resection margin status, nerve invasion], and preoperative maximum standard uptake value (SUV max) were collected. The receiver operating characteristic (ROC) curves were used to evaluate the efficacy of PET/CT parameter SUV max in predicting tumor recurrence after prostate cancer surgery. The recurrence-free survival (RFS) was analyzed by using the Kaplan-Meier method and log-rank test was performed. Cox proportional risk model was used to analyze the factors influencing RFS after radical prostatectomy. Results:All 48 patients were acinar adenocarcinoma. The median level of the patients' serum tPSA was 19.16 (10.50, 30.99) ng/ml; the median prostate volume was 36.20 (31.83, 45.48) ml; the median tumor diameter was 2.80 (1.60, 4.00) cm; the median PSAD was 0.48 (0.31,1.02) ng·ml -1·cm -3. The primary SUV max of prostate cancer was 13.61 (8.10, 20.20) . Of the 48 patients, 1 case died of heart disease and 1 case died of COVID-19 within 3 to 6 months after surgery, and the rest 46 patients were analyzed for prognosis. Among 46 cases, 26 were in the ISUP low-grade group and 20 were in the high-grade group; 17 were positive and 29 were negative for nerve invasion; 7 were positive and 39 were negative for margin status. The median follow-up time was 18.5 (8-64) months. There were 30 recurrence-free patients and 16 recurrent patients by the follow-up in April 2024. The median RFS time was 15 months; and there were statistically significant differences in RSF among the ISUP high-grade and low-grade groups, preoperative SUV max ≥ 16.77 and < 16.77 groups, positive and negative resection margin groups (all P < 0.01). SUV max was positively correlated with ISUP pathological grade and tPSA level ( r value was 0.634, 0.584, respectively; both P < 0.01). The differences in preoperative serum tPSA level, PSAD, tumor diameter, and SUV max were statistically significant between the ISUP low-grade group and the high-grade group (all P < 0.01); the differences in preoperative serum tPSA, PSAD, and tumor diameter were statistically significant between the nerve invasion positive group and nerve invasion negative group (all P < 0.01); the differences in preoperative serum tPSA, PSAD, tumor diameter, and SUV max between patients with positive resection margins or not were not statistically significant (all P > 0.05). Multivariate Cox regression analysis showed that the tumor resection margin status (negativity vs. positivity: HR = 7.82,95% CI: 1.97-31.07, P < 0.01), ISUP pathological grade (low grade vs. high grade: HR = 4.34,95% CI:1.21-15.62, P < 0.05), and the preoperative SUV max (<16.77 vs. ≥ 16.77: HR = 4.18, 95% CI:1.36-12.85 , P < 0.05) were independent influencing factors for RFS in patients with prostate cancer after radical prostatectomy. Conclusions:Pathological grading after radical prostatectomy and the preoperative 18F-PSMA-1007 PET/CT parameters are associated with the prognosis of patients with prostate cancer.

Objective Maintain a sable differential pressure inside the Underwater Positive Pressure Protective Suit(UPPPS)to ensure normal breathing and safe underwater operations for the diver.Methods Utilize a pressure regulator as the UPPPS's pressure control valve to automatically maintain the differential pressure inside the suit.Results By establishing a physical model,the relationship between the steady-state differential pressure with the ventilation flow rate and the ambient pressure was obtained.(1)The ventilation flow rate is positively correlated with the steady-state differential pressure,the higher the ventilation flow rate,the greater the steady-state differential pressure.(2)At the same ventilation flow rate,the larger the ambient pressure is,the smaller the steady-state differential pressure is.Underwater unmanned and manned experiments using the UWT suit were conducted.The expermental results are in agreement with the theoretical analysis.Conclusion The performance of pressure regulator has been verified by the underwater experiments,it effectively stabilizes the differential pressure within the UPPPS.

Peptide-based radiopharmaceuticals targeting integrin α5β1 show promise for precise tumor diagnosis and treatment. However, current peptide-based radioligands that target α5β1 demonstrate inadequate in vivo performance owing to limited tumor retention. The use of PEGylation to enhance the tumor retention of radiopharmaceuticals by prolonging blood circulation time poses a risk of increased blood toxicity. Therefore, a PEGylation strategy that boosts tumor retention while minimizing blood circulation time is urgently needed. Here, we developed a PEGylation-enabled peptide multidisplay platform (PEGibody) for PR_b, an α5β1 targeting peptide. PEGibody generation involved PEGylation and self-assembly. [⁶⁴Cu]QM-2303 PEGibodies displayed spherical nanoparticles ranging from 100 to 200 nm in diameter. Compared with non-PEGylated radioligands, [⁶⁴Cu]QM-2303 demonstrated enhanced tumor retention time due to increased binding affinity and stability. Importantly, the biodistribution analysis confirmed rapid clearance of [⁶⁴Cu]QM-2303 from the bloodstream. Administration of a single dose of [¹⁷⁷Lu]QM-2303 led to robust antitumor efficacy. Furthermore, [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 exhibited low hematological and organ toxicity in both healthy and tumor-bearing mice. Therefore, this study presents a PEGibody-based radiotheranostic approach that enhances tumor retention time and provides long-lasting antitumor effects without prolonging blood circulation lifetime. The PEGibody-based radiopharmaceutical [⁶⁴Cu]/[¹⁷⁷Lu]QM-2303 shows great potential for positron emission tomography imaging-guided targeted radionuclide therapy for α5β1-overexpressing tumors.

The activation proteins released by fibroblasts in the tumor microenvironment regulate tumor growth, migration, and treatment response, thereby influencing tumor progression and therapeutic outcomes. Owing to the proliferation and metastasis of tumors, fibroblast activation protein (FAP) is typically highly expressed in the tumor stroma, whereas it is nearly absent in adult normal tissues and benign lesions, making it an attractive target for precision medicine. Radiolabeled agents targeting FAP have the potential for targeted cancer diagnosis and therapy. This comprehensive review aims to describe the evolution of FAPI-based radiopharmaceuticals and their structural optimization. Within its scope, this review summarizes the advances in the use of radiolabeled small molecule inhibitors for tumor imaging and therapy as well as the modification strategies for FAPIs, combined with insights from structure-activity relationships and clinical studies, providing a valuable perspective for radiopharmaceutical clinical development and application.

Triple-negative breast cancer is therapeutically challenging due to the low expression of tumor markers and 'cold' tumor immunosuppressive microenvironment. Here, we present a dual-targeting peptide-drug conjugate (PDC) for tumor inhibition. Our PDC efficiently and selectively delivers cytotoxic Monomethyl Auristatin E (MMAE) into tumor cells via C-X-C chemokine receptor type 4 (CXCR4) and folate receptor 1 (FOLR1) for synergistic inhibition of growth and metastasis. Our results show that the dual-targeting PDC has potent antitumor activity in cultured human cells and several murine transplanted tumor models without apparent toxicity. The combination of dual-targeting PDC and radiotherapy modulates the tumor immunosuppressive microenvironment by increasing CD8⁺ T cell infiltration and attenuating the proportion of myeloid-derived suppressor and regulatory T cells. Therefore, our dual-targeting PDC represents a promising new strategy for cancer therapy that rebalances the immune system and promotes tumor regression.

Objective:To discuss the correlation of International Society of Urological Pathology (ISUP) pathological grading with 18F-prostate specific membrane antigen (PSMA)-1007 positron emission tomography-computed tomography (PET/CT) parameters and serum total prostate specific antigen (tPSA) in prostate cancer, and assess the clinical value of PET/CT combined with tPSA in predicting the ISUP pathological grade of prostate cancer. Methods:The correlation of ISUP pathological grade with primary parameters of PET/CT images and serum tPSA of 117 patients diagnosed with prostate cancer at Shanxi Cancer Hospital from August 2018 to February 2023 and taken 18F-PSMA-1007 PET/CT imaging were retrospectively analyzed. Univariate and multivariate logistic regressions were used to identify the independent influencing factors for ISUP pathological grading of prostate cancer. The receiver operating characteristic (ROC) curves were used to predict the efficacy between the high and low ISUP grades for prostate cancer. Results:Of the 117 patients, 20 were in ISUP Group 1, 25 in Group 2, 18 in Group 3, 32 in Group 4, and 22 in Group 5. Of these, 63 were in the low-grade group (Groups 1-3) and 54 were in the high-grade group (Groups 4-5). The tumor long diameter was 3.10 (2.05, 4.25) cm, the prostate volume was 40.11 (33.13, 51.85) cm 3, the serum tPSA was 19.71 (12.25, 42.83) ng/ml, the prostate specific antigen density (PSAD) was 0.51 (0.31, 1.01) ng·ml -1·cm -3, the maximum standard uptake value of the lesion (SUVmax) was 15.24 (10.87, 22.03), and the tumor/spleen uptake ratio (TSR) was 1.61 (1.08, 2.15) in the 117 patients. The correlation analysis displayed that the SUVmax, TSR, and tPSA were positively correlated with ISUP groups ( r=0.640, 0.619, and 0.500, P＜0.01). The differences among SUVmax, TSR, long diameter, tPSA, and PSAD were statistically significant when compared among the five ISUP groups ( H=48.98, 45.63, 26.82, 33.95, and 23.81, P＜0.001). The differencesin serum tPSA ( z=5.19), PSAD ( z=4.64), long diameter ( z=3.19), SUVmax ( z=5.57), and TSR ( z=5.53) of the patients between the low-grade group and the high-grade group were statistically significant ( P＜0.01). In multivariate analysis, TSR ( OR=4.172, 95% CI: 2.095-8.308, P＜0.001) and the serum tPSA ( OR=1.042, 95% CI: 1.014-1.070, P＜0.01) were independent influencing factors for ISUP grades. ROC analysis revealed that the area under the curve for the 18F-PSMA-1007 PET/CT parameters SUVmax and TSR to predict low- or high-grade ISUP for prostate cancer was 0.800 (95% CI: 0.717-0.883) and 0.797 (95% CI: 0.713-0.881), respectively. Among the 70 patients who underwent radical prostatectomy, the postoperative recurrence rate of high-grade ISUP patients was higher than that of low-grade patients (54.8% and 25.6%, χ 2=6.21, P＜0.05). Conclusions:18F-PSMA-1007 PET/CT has good application in predicting ISUP grading of prostate cancer. TSR and the serum tPSA are independent predictors for the pathological grade.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective:To discuss the correlation of pathologic findings after radical prostatectomy and preoperative 18F-PSMA-1007 PET/CT parameters with the prognosis of patients with prostate cancer. Methods:A retrospective case series study was conducted. The clinicopathological data of 48 patients with prostate cancer who underwent radical prostatectomy in Shanxi Province Cancer Hospital between January 2019 and August 2023 were retrospectively analyzed. All patients underwent 18F-PSMA-1007 PET/CT imaging before surgery. The age, the preoperative serum total prostate-specific antigen (tPSA), prostate-specific antigen density (PSAD), prostate volume, tumor diameter, TNM staging, the pathologic data after radical prostatectomy [International Society of Urological Pathology (ISUP) grade, resection margin status, nerve invasion], and preoperative maximum standard uptake value (SUV max) were collected. The receiver operating characteristic (ROC) curves were used to evaluate the efficacy of PET/CT parameter SUV max in predicting tumor recurrence after prostate cancer surgery. The recurrence-free survival (RFS) was analyzed by using the Kaplan-Meier method and log-rank test was performed. Cox proportional risk model was used to analyze the factors influencing RFS after radical prostatectomy. Results:All 48 patients were acinar adenocarcinoma. The median level of the patients' serum tPSA was 19.16 (10.50, 30.99) ng/ml; the median prostate volume was 36.20 (31.83, 45.48) ml; the median tumor diameter was 2.80 (1.60, 4.00) cm; the median PSAD was 0.48 (0.31,1.02) ng·ml -1·cm -3. The primary SUV max of prostate cancer was 13.61 (8.10, 20.20) . Of the 48 patients, 1 case died of heart disease and 1 case died of COVID-19 within 3 to 6 months after surgery, and the rest 46 patients were analyzed for prognosis. Among 46 cases, 26 were in the ISUP low-grade group and 20 were in the high-grade group; 17 were positive and 29 were negative for nerve invasion; 7 were positive and 39 were negative for margin status. The median follow-up time was 18.5 (8-64) months. There were 30 recurrence-free patients and 16 recurrent patients by the follow-up in April 2024. The median RFS time was 15 months; and there were statistically significant differences in RSF among the ISUP high-grade and low-grade groups, preoperative SUV max ≥ 16.77 and < 16.77 groups, positive and negative resection margin groups (all P < 0.01). SUV max was positively correlated with ISUP pathological grade and tPSA level ( r value was 0.634, 0.584, respectively; both P < 0.01). The differences in preoperative serum tPSA level, PSAD, tumor diameter, and SUV max were statistically significant between the ISUP low-grade group and the high-grade group (all P < 0.01); the differences in preoperative serum tPSA, PSAD, and tumor diameter were statistically significant between the nerve invasion positive group and nerve invasion negative group (all P < 0.01); the differences in preoperative serum tPSA, PSAD, tumor diameter, and SUV max between patients with positive resection margins or not were not statistically significant (all P > 0.05). Multivariate Cox regression analysis showed that the tumor resection margin status (negativity vs. positivity: HR = 7.82,95% CI: 1.97-31.07, P < 0.01), ISUP pathological grade (low grade vs. high grade: HR = 4.34,95% CI:1.21-15.62, P < 0.05), and the preoperative SUV max (<16.77 vs. ≥ 16.77: HR = 4.18, 95% CI:1.36-12.85 , P < 0.05) were independent influencing factors for RFS in patients with prostate cancer after radical prostatectomy. Conclusions:Pathological grading after radical prostatectomy and the preoperative 18F-PSMA-1007 PET/CT parameters are associated with the prognosis of patients with prostate cancer.