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  • 1
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    Online Resource
    Dual Antiplatelet Therapies and Causes in Minor Stroke or Transient Ischemic Attack: A Prespecified Analysis in the CHANCE-2 Trial
    Ovid Technologies (Wolters Kluwer Health) ; 2023
    In:  Stroke Vol. 54, No. 9 ( 2023-09), p. 2241-2250
    Details
    In: Stroke, Ovid Technologies (Wolters Kluwer Health), Vol. 54, No. 9 ( 2023-09), p. 2241-2250
    Abstract: It is unclear whether patients with different stroke/transient ischemic attack etiologies benefit differently from gene-directed dual antiplatelet therapy. This study explored the efficacy and safety of ticagrelor-aspirin versus clopidogrel-aspirin in transient ischemic attack or minor stroke with different causes in the CHANCE-2 trial (Clopidogrel in High-Risk Patients With Acute Nondisabling Cerebrovascular Events-II). METHODS: This was a prespecified analysis of the CHANCE-2 trial, which enrolled 6412 patients with minor stroke or transient ischemic attack who carried CYP2C19 loss-of-function alleles. Patients with centralized evaluation of TOAST (Trial of ORG 10172 in Acute Stroke Treatment) classification of large-artery atherosclerosis, small-vessel occlusion, and stroke of undetermined cause were included. The primary efficacy outcome was new stroke, and the primary safety outcome was severe or moderate bleeding, both within 90 days. Cox proportional hazards models were used to assess the interaction of TOAST classification with the effects of dual antiplatelet therapy with ticagrelor-aspirin versus clopidogrel-aspirin. RESULTS: A total of 6336 patients were included in this study. In patients administered ticagrelor-aspirin and clopidogrel-aspirin, respectively, stroke recurred in 85 (9.8%) and 88 (10.7%) patients with large-artery atherosclerosis (hazard ratio, 0.86 [95% CI, 0.63–1.18]; P =0.34); 32 (3.6%) and 61 (7.0%) patients with small-vessel occlusion (hazard ratio, 0.51 [95% CI, 0.33–0.79]; P =0.002); and 68 (4.8%) and 87 (5.9%) patients with stroke of undetermined cause (hazard ratio, 0.80 [95% CI, 0.58–1.10]; P =0.17), with P =0.08 for the treatment×cause subtype interaction effect. There were no significant differences in severe or moderate bleeding events in patients with different cause and different treatment. CONCLUSIONS: In this prespecified analysis of the CHANCE-2 trial, the efficacy and safety of ticagrelor-aspirin versus clopidogrel-aspirin in preventing new stroke were consistent in patients with different causes. The influence of stroke cause on benefit of gene-guided antiplatelet therapy should be explored by further trials. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT04078737.
    Type of Medium: Online Resource
    ISSN: 0039-2499 , 1524-4628
    URL: Article
    DOI: 10.1161/STROKEAHA.122.042233
    RVK:
    XA 10000
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2023
    detail.hit.zdb_id: 1467823-8
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  • 2
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    A Deep Learning Based Level Set Model for Pancreas Segmentation
    American Scientific Publishers ; 2020
    In:  Journal of Medical Imaging and Health Informatics Vol. 10, No. 11 ( 2020-11-01), p. 2681-2685
    Details
    In: Journal of Medical Imaging and Health Informatics, American Scientific Publishers, Vol. 10, No. 11 ( 2020-11-01), p. 2681-2685
    Abstract: A deep learning based active contour framework is proposed for pancreas segmentation. Data extension and fractional differential operation are firstly applied for pre-processing. Second, deep learning method is designed to acquire the initial contour of pancreas. Subsequently, an intensity constrained term is designed to stop the contours at the edges. The intensity constrained term is integrated into a variational active contour model with three terms. The accurate pancreas segmentation is obtained by the evolution of the active contour model. Our approach reaches high detection dice similarity coefficient (DSC) of 83% and sensitivity of 85% in a dataset containing 40 abdominal CT scans. Comparisons with other level set models provide evidence that the proposed method offers desirable performances.
    Type of Medium: Online Resource
    ISSN: 2156-7018
    URL: Article
    DOI: 10.1166/jmihi.2020.3200
    Language: English
    Publisher: American Scientific Publishers
    Publication Date: 2020
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  • 3
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    One-stop computerized virtual planning system for the surgical management of posterior wall acetabular fractures
    Springer Science and Business Media LLC ; 2022
    In:  Journal of Orthopaedic Surgery and Research Vol. 17, No. 1 ( 2022-10-04)
    Details
    In: Journal of Orthopaedic Surgery and Research, Springer Science and Business Media LLC, Vol. 17, No. 1 ( 2022-10-04)
    Abstract: Posterior wall acetabular fractures remain one of the most difficult fracture injuries to treat. Accurate assessment of fracture characteristics and appropriate preoperative surgical strategies are essential for excellent reduction. This paper evaluates the feasibility and effectiveness of a one-stop computerized virtual planning system for the surgical management of posterior wall acetabular fractures. Methods 52 cases of posterior wall acetabular fractures treated surgically were selected in our department between January 2015 and December 2020 for retrospective analysis. 52 cases were classified into group A (25 patients) and group B (27 patients) according to whether computerized virtual planning procedures were performed preoperatively. In group A, virtual surgical simulation was conducted using a one-stop computerized planning system preoperatively. In group B, traditional surgery was employed. Reduction quality, surgical time, blood loss, hip function, complications, and instrumentation time were compared between the two groups. Results The actual surgery for all patients in group A was essentially the same as the virtual surgery before the operation. Compared to group B, patients in group A had markedly shorter surgical time (−43 min), shorter instrumentation time (−20 min), and less intraoperative blood loss (−130 ml). However, no significant statistical difference was observed in reduction quality and hip function. The complication rate was slightly lower in group A (4/25) than in group B (7/27), without a significant difference. Conclusion The one-stop computerized virtual planning system is a highly effective, user-friendly and educational tool for allowing the cost-efficient surgical simulation of posterior wall acetabular fractures and providing a more individualized therapeutic schedule. The one-stop computerized planning system is feasible to treat posterior wall acetabular fractures, which is an effective method than the conventional treatment of posterior wall acetabular fractures. Trial registration : retrospective registration.
    Type of Medium: Online Resource
    ISSN: 1749-799X
    URL: Article
    DOI: 10.1186/s13018-022-03333-9
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2252548-8
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  • 4
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    A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images
    Wiley ; 2022
    In:  Journal of Applied Clinical Medical Physics Vol. 23, No. 1 ( 2022-01)
    Details
    In: Journal of Applied Clinical Medical Physics, Wiley, Vol. 23, No. 1 ( 2022-01)
    Abstract: Accurate liver segmentation is essential for radiation therapy planning of hepatocellular carcinoma and absorbed dose calculation. However, liver segmentation is a challenging task due to the anatomical variability in both shape and size and the low contrast between liver and its surrounding organs. Thus we propose a convolutional neural network (CNN) for automated liver segmentation. In our method, fractional differential enhancement is firstly applied for preprocessing. Subsequently, an initial liver segmentation is obtained by using a CNN. Finally, accurate liver segmentation is achieved by the evolution of an active contour model. Experimental results show that the proposed method outperforms existing methods. One hundred fifty CT scans are evaluated for the experiment. For liver segmentation, Dice of 95.8%, true positive rate of 95.1%, positive predictive value of 93.2%, and volume difference of 7% are calculated. In addition, the values of these evaluation measures show that the proposed method is able to provide a precise and robust segmentation estimate, which can also assist the manual liver segmentation task.
    Type of Medium: Online Resource
    ISSN: 1526-9914 , 1526-9914
    URL: Issue
    URL: Article
    DOI: 10.1002/acm2.v23.1
    DOI: 10.1002/acm2.13482
    Language: English
    Publisher: Wiley
    Publication Date: 2022
    detail.hit.zdb_id: 2010347-5
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  • 5
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    A Rod‐Packing Hydrogen‐Bonded Organic Framework with Suitable Pore Confinement for Benchmark Ethane/Ethylene Separation
    Wiley ; 2021
    In:  Angewandte Chemie Vol. 133, No. 18 ( 2021-04-26), p. 10392-10398
    Details
    In: Angewandte Chemie, Wiley, Vol. 133, No. 18 ( 2021-04-26), p. 10392-10398
    Abstract: For the separation of ethane from ethylene, it remains challenging to target both high C 2 H 6 adsorption and selectivity in a C 2 H 6 ‐selective material. Herein, we report a reversible solid‐state transformation in a labile hydrogen‐bonded organic framework to generate a new rod‐packing desolvated framework (ZJU‐HOF‐1) with suitable cavity spaces and functional surfaces to optimally interact with C 2 H 6 . ZJU‐HOF‐1 thus exhibits simultaneously high C 2 H 6 uptake (88 cm 3  g −1 at 0.5 bar and 298 K) and C 2 H 6 /C 2 H 4 selectivity (2.25), which are significantly higher than those of most top‐performing materials. Theoretical calculations revealed that the cage‐like cavities and functional sites synergistically “match” better with C 2 H 6 to provide stronger multipoint interactions with C 2 H 6 than C 2 H 4 . In combination with its high stability and ultralow water uptake, this material can efficiently capture C 2 H 6 from 50/50 C 2 H 6 /C 2 H 4 mixtures in ambient conditions under 60 % RH, providing a record polymer‐grade C 2 H 4 productivity of 0.98 mmol g −1 .
    Type of Medium: Online Resource
    ISSN: 0044-8249 , 1521-3757
    URL: Issue
    URL: Article
    DOI: 10.1002/ange.v133.18
    DOI: 10.1002/ange.202100342
    RVK:
    VA 2100
    RVK:
    VN 5020
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 505868-5
    detail.hit.zdb_id: 506609-8
    detail.hit.zdb_id: 514305-6
    detail.hit.zdb_id: 505872-7
    detail.hit.zdb_id: 1479266-7
    detail.hit.zdb_id: 505867-3
    detail.hit.zdb_id: 506259-7
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  • 6
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    Incidence of and Risk Factors for Screw Loosening after Iliosacral Screw Fixation for Posterior Pelvic Ring Injury
    Wiley ; 2023
    In:  Orthopaedic Surgery Vol. 15, No. 7 ( 2023-07), p. 1814-1822
    Details
    In: Orthopaedic Surgery, Wiley, Vol. 15, No. 7 ( 2023-07), p. 1814-1822
    Abstract: Screw loosening is a common complication of iliosacral screw fixation, with subsequent loss of stability and fracture re‐displacement. This study aimed to investigate the incidence of and risk factors for screw loosening after iliosacral screw fixation for posterior pelvic ring injury. Methods A total of 135 patients with posterior pelvic ring injuries who were treated with iliosacral screw fixation in our department between July 2015 and April 2021 were selected for this retrospective analysis. The possible risk factors for screw loosening were investigated using univariate and multivariate logistic regression analyses of patient demographics and trauma‐related and iatrogenic variables, including age, sex, body mass index, Osteoporosis Self‐Assessment Tool for Asians (OSTA) index, mechanism of injury, Young–Burgess classification, site of injury, type of injury, type of screw, mode of fixation, numbers of guidewire adjustments, accuracy of screw position, and quality of fracture reduction. Results The incidence of screw loosening was 15.6% ( n  = 21). The mean duration for screw loosening was 3.2 ± 1.5 months after operation. Univariate analysis results showed that the Young–Burgess classification, type of injury, site of injury, type of screw, mode of fixation, and OSTA index might be related to screw loosening ( p   〈  0.05). According to the multivariate logistic regression, vertical shear injuries (Odds ratios [OR] 9.80, 95% Confidence intervals [CI] [1.96–73.28], p  = 0.008), type of injury (OR 0.25, 95% CI [0.13–0.79], p  = 0.027), common screws (OR 6.94, 95% CI [1.53–31.40], p  = 0.012), screws insertion only at the level of the first sacral segment (S1) (OR 8.79, 95% CI [1.18–65.46], p  = 0.034), injury site located in the medial sacral foramina (OR 6.28, 95% CI [1.16–34.06], p  = 0.033), and lower OSTA index [OR 0.41, 95% CI [0.24–0.71], p  = 0.001] were significantly related to screw loosening. Conclusions Vertical shear injuries, sacral fractures, injury site located in the medial sacral foramina, and lower OSTA index are significantly associated with the postoperative occurrence of screw loosening. Transiliac–transsacral screw fixation and screws insertion both at the level of the S1 and second sacral segment can prevent screw loosening.
    Type of Medium: Online Resource
    ISSN: 1757-7853 , 1757-7861
    URL: Issue
    URL: Article
    DOI: 10.1111/os.v15.7
    DOI: 10.1111/os.13763
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2483883-4
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  • 7
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    Three‐Dimensional Printed Plate Template Versus Hemipelvis Model in Patient‐Specific Plate Preparation for Posterior Wall Acetabular Fractures
    Wiley ; 2023
    In:  Orthopaedic Surgery Vol. 15, No. 9 ( 2023-09), p. 2383-2392
    Details
    In: Orthopaedic Surgery, Wiley, Vol. 15, No. 9 ( 2023-09), p. 2383-2392
    Abstract: The application of three‐dimensional (3D) printing technology in the management of posterior wall acetabular fractures can greatly reduce surgical invasiveness and operative time and simplify the procedure of reconstruction plate contouring, but the cost and time of patient‐specific plate preparation on the basis of traditional 3D‐printed pelvis model should not be neglected. We described a new method for patient‐specific plate preparation by using 3D‐printed plate template. The study aimed to assess the effectiveness and feasibility of the 3D‐printed plate template in patient‐specific plate preparation for posterior wall acetabular fractures. Methods A total of 65 cases of posterior wall acetabular fractures with surgical treatment from December 2012 to December 2020 were chosen. According to the different plate contouring methods, the 65 cases were divided into three groups, which were group A (21 cases), group B (20 cases), and group C (24 cases). In group A, the 3D‐printed plate template was used to contour the patient‐specific reconstruction plate before surgery, whereas the 3D‐printed hemipelvis model was adopted for group B. In group C, the reconstruction plate was contoured intraoperatively. Among the three groups, the instrumentation time, surgical time, blood loss, patient‐specific plate preparation time, complications, reduction quality, and hip function were compared. The Kruskal–Wallis test was used to analyze the reduction quality and hip function among three groups. Results In comparison with group C, patients in groups A and B were featured by obviously shorter instrumentation time (−22, −23 min), shorter surgical time (−46, −44 min), and less intraoperative blood loss (−110, −122 mL). Compared to the hemipelvis model in group B (2.29 ± 0.56 vs. 12.70 ± 3.79 days), the 3D printing time for plate templates in group A was significantly shorter. The reduction quality and hip function had no obvious statistical difference among the three groups. The complication rate within group A (3/21) and group B (3/20) were both slightly lower than group C (5/24), with no obvious difference. Conclusions Both the patient‐specific pre‐contoured plate fixation methods based on the 3D‐printed hemipelvis model and plate template can achieve satisfactory clinical efficacy, with the advantage of shorter instrumentation and surgical time, and less intraoperative blood loss. However, 3D printing of plate template is easier and less time‐consuming, considering the shorter time and less cost for 3D printing of physical model.
    Type of Medium: Online Resource
    ISSN: 1757-7853 , 1757-7861
    URL: Issue
    URL: Article
    DOI: 10.1111/os.v15.9
    DOI: 10.1111/os.13838
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2483883-4
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  • 8
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    Incorporation of multiple supramolecular binding sites into a robust MOF for benchmark one-step ethylene purification
    Springer Science and Business Media LLC ; 2023
    In:  Nature Communications Vol. 14, No. 1 ( 2023-10-02)
    Details
    In: Nature Communications, Springer Science and Business Media LLC, Vol. 14, No. 1 ( 2023-10-02)
    Abstract: One-step adsorption separation of C 2 H 4 from ternary C 2 hydrocarbon mixtures remains an important and challenging goal for petrochemical industry. Current physisorbents either suffer from unsatisfied separation performance, poor stability, or are difficult to scale up. Herein, we report a strategy of constructing multiple supramolecular binding sites in a robust and scalable MOF (Al-PyDC) for highly efficient one-step C 2 H 4 purification from ternary mixtures. Owing to suitable pore confinement with multiple supramolecular binding sites, Al-PyDC exhibits one of the highest C 2 H 2 and C 2 H 6 uptakes and selectivities over C 2 H 4 at ambient conditions. The gas binding sites have been visualized by single-crystal X-ray diffraction studies, unveiling that the low-polarity pore surfaces with abundant electronegative N/O sites provide stronger multiple supramolecular interactions with C 2 H 2 and C 2 H 6 over C 2 H 4 . Breakthrough experiments showed that polymer-grade C 2 H 4 can be separated from ternary mixtures with a maximum productivity of 1.61 mmol g −1 . This material can be prepared from two simple reagents using a green synthesis method with water as the sole solvent, and its synthesis can be easily scaled to multikilogram batches. Al-PyDC achieves an effective combination of benchmark separation performance, high stability/recyclability, green synthesis and easy scalability to address major challenges for industrial one-step C 2 H 4 purification.
    Type of Medium: Online Resource
    ISSN: 2041-1723
    URL: Article
    DOI: 10.1038/s41467-023-41692-x
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2553671-0
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  • 9
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    A novel anion-pillared metal–organic framework for highly efficient separation of acetylene from ethylene and carbon dioxide
    Royal Society of Chemistry (RSC) ; 2021
    In:  Journal of Materials Chemistry A Vol. 9, No. 14 ( 2021), p. 9248-9255
    Details
    In: Journal of Materials Chemistry A, Royal Society of Chemistry (RSC), Vol. 9, No. 14 ( 2021), p. 9248-9255
    Type of Medium: Online Resource
    ISSN: 2050-7488 , 2050-7496
    URL: Article
    DOI: 10.1039/D0TA11340A
    Language: English
    Publisher: Royal Society of Chemistry (RSC)
    Publication Date: 2021
    detail.hit.zdb_id: 2702232-8
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  • 10
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    Abdomen tissues segmentation from computed tomography images using deep learning and level set methods
    American Institute of Mathematical Sciences (AIMS) ; 2022
    In:  Mathematical Biosciences and Engineering Vol. 19, No. 12 ( 2022), p. 14074-14085
    Details
    In: Mathematical Biosciences and Engineering, American Institute of Mathematical Sciences (AIMS), Vol. 19, No. 12 ( 2022), p. 14074-14085
    Abstract: 〈abstract〉 〈p〉Accurate abdomen tissues segmentation is one of the crucial tasks in radiation therapy planning of related diseases. However, abdomen tissues segmentation (liver, kidney) is difficult because the low contrast between abdomen tissues and their surrounding organs. In this paper, an attention-based deep learning method for automated abdomen tissues segmentation is proposed. In our method, image cropping is first applied to the original images. U-net model with attention mechanism is then constructed to obtain the initial abdomen tissues. Finally, level set evolution which consists of three energy terms is used for optimize the initial abdomen segmentation. The proposed model is evaluated across 470 subsets. For liver segmentation, the mean dice are 96.2 and 95.1% for the FLARE21 datasets and the LiTS datasets, respectively. For kidney segmentation, the mean dice are 96.6 and 95.7% for the FLARE21 datasets and the LiTS datasets, respectively. Experimental evaluation exhibits that the proposed method can obtain better segmentation results than other methods.〈/p〉 〈/abstract〉
    Type of Medium: Online Resource
    ISSN: 1551-0018
    URL: Article
    DOI: 10.3934/mbe.2022655
    Language: Unknown
    Publisher: American Institute of Mathematical Sciences (AIMS)
    Publication Date: 2022
    detail.hit.zdb_id: 2265126-3
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