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  1. Book ; Online ; E-Book: Computer-aided oral and maxillofacial surgery

    Egger, Jan / Chen, Xiaojun

    developments, applications, and future perspectives

    2021  

    Author's details edited by Jan Egger, Xiaojun Chen
    Keywords Mouth/Surgery ; Face/Surgery ; Computer-assisted surgery
    Subject code 617.522
    Language English
    Size 1 online resource (284 pages)
    Publisher Academic Press
    Publishing place London, England
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 0-12-823423-7 ; 0-12-823299-4 ; 978-0-12-823423-5 ; 978-0-12-823299-6
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Analysis of Sex Hormones, Insulin Dosage, and Risk Factors Associated With Male Diabetic Patients.

    Chen, Xiao-Jun

    American journal of men's health

    2024  Volume 18, Issue 2, Page(s) 15579883241235062

    Abstract: The purpose of this study is to assess the influence of sex hormones and other indicators on risk factors for hypercoagulable states in male patients with type 2 diabetes mellitus. Ninety-two diabetic patients were divided into two groups based on ... ...

    Abstract The purpose of this study is to assess the influence of sex hormones and other indicators on risk factors for hypercoagulable states in male patients with type 2 diabetes mellitus. Ninety-two diabetic patients were divided into two groups based on testosterone levels: T1 group (testosterone <12 mmol/L) and T2 group (testosterone >12 mmol/L). Fifty-four non-diabetic patients were used as the control group. Sex hormone index, glucose, insulin, C-peptide, 24-h urinary free cortisol, thromboelastography, and insulin resistance index were measured by radioimmunoassay. Testosterone was lower in the diabetic men than in the control group (12.02 vs 14.77,
    MeSH term(s) Humans ; Male ; Insulin ; Insulin Resistance ; Diabetes Mellitus, Type 2 ; Hydrocortisone ; Gonadal Steroid Hormones ; Risk Factors ; Testosterone ; Estradiol ; Body Mass Index
    Chemical Substances Insulin ; Hydrocortisone (WI4X0X7BPJ) ; Gonadal Steroid Hormones ; Testosterone (3XMK78S47O) ; Estradiol (4TI98Z838E)
    Language English
    Publishing date 2024-03-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2275106-3
    ISSN 1557-9891 ; 1557-9883
    ISSN (online) 1557-9891
    ISSN 1557-9883
    DOI 10.1177/15579883241235062
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Ketogenic dietary intervention as therapy for thrombocytopenia.

    Wu, Yue / Chen, Xiaojun

    Cancer pathogenesis and therapy

    2023  Volume 1, Issue 3, Page(s) 227–228

    Language English
    Publishing date 2023-01-13
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2949-7132
    ISSN (online) 2949-7132
    DOI 10.1016/j.cpt.2023.01.004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The current situation of the levonorgestrel intrauterine system (LNG-IUS) in conservative treatment for patients with early-stage endometrial cancer and atypical hyperplasia.

    Chen, Xiaojun

    Journal of gynecologic oncology

    2019  Volume 30, Issue 4, Page(s) e79

    MeSH term(s) Conservative Treatment ; Endometrial Hyperplasia ; Endometrial Neoplasms ; Female ; Fertility ; Humans ; Hyperplasia ; Levonorgestrel ; Retrospective Studies
    Chemical Substances Levonorgestrel (5W7SIA7YZW)
    Language English
    Publishing date 2019-04-01
    Publishing country Korea (South)
    Document type Editorial ; Comment
    ZDB-ID 2478405-9
    ISSN 2005-0399 ; 2005-0380
    ISSN (online) 2005-0399
    ISSN 2005-0380
    DOI 10.3802/jgo.2019.30.e79
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6484: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  5. Article ; Online: Causal effect of education on bone mineral density: A Mendelian randomization study.

    Mou, Xiaoqing / Sun, Mingqi / Chen, Xiaojun

    Medicine

    2024  Volume 103, Issue 11, Page(s) e37435

    Abstract: Education level may have some association with the incidence of osteoporosis, but it is elusive if this association is causal. This two-sample Mendelian randomization analysis focused on the causal effect of education level on femoral neck bone mineral ... ...

    Abstract Education level may have some association with the incidence of osteoporosis, but it is elusive if this association is causal. This two-sample Mendelian randomization analysis focused on the causal effect of education level on femoral neck bone mineral density (FN-BMD), forearm BMD, lumbar spine BMD, and heel BMD. Twelve single nucleotide polymorphisms were used as instrumental variables. The results suggested that high education level was associated with improved FN-BMD (beta-estimate: 0.406, 95% confidence interval: 0.061 to 0.751, standard error: 0.176, P-value = .021). There were null association between education and other sites of bone mineral density. Our results found the causal effect of high education level on improved FN-BMD, and improved educational attainment may be beneficial to prevent osteoporosis.
    MeSH term(s) Humans ; Bone Density/genetics ; Mendelian Randomization Analysis ; Osteoporosis/epidemiology ; Osteoporosis/genetics ; Lumbar Vertebrae ; Polymorphism, Single Nucleotide ; Educational Status ; Genome-Wide Association Study
    Language English
    Publishing date 2024-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 80184-7
    ISSN 1536-5964 ; 0025-7974
    ISSN (online) 1536-5964
    ISSN 0025-7974
    DOI 10.1097/MD.0000000000037435
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Ua VI Zs.171: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  6. Article ; Online: Adaptive Multi-dimensional Weighted Network with Category-aware Contrastive Learning for Fine-grained Hand Bone Segmentation.

    Zeng, Bolun / Chen, Li / Zheng, Yuanyi / Chen, Xiaojun

    IEEE journal of biomedical and health informatics

    2024  Volume PP

    Abstract: Accurately delineating and categorizing individual hand bones in 3D ultrasound (US) is a promising technology for precise digital diagnostic analysis. However, this is a challenging task due to the inherent imaging limitations of the US and the ... ...

    Abstract Accurately delineating and categorizing individual hand bones in 3D ultrasound (US) is a promising technology for precise digital diagnostic analysis. However, this is a challenging task due to the inherent imaging limitations of the US and the insignificant feature differences among numerous bones. In this study, we have proposed a novel deep learning-based solution for pediatric hand bone segmentation in the US. Our method is unique in that it allows for effective detailed feature mining through an adaptive multi-dimensional weighting attention mechanism. It innovatively implements a category-aware contrastive learning method to highlight inter-class semantic feature differences, thereby enhancing the category discrimination performance of the model. Extensive experiments on the challenging pediatric clinical hand 3D US datasets show the outstanding performance of the proposed method in segmenting thirty-eight bone structures, with the average Dice coefficient of 90.0%. The results outperform other state-of-the-art methods, demonstrating its effectiveness in fine-grained hand bone segmentation. Our method will be globally released as a plugin in the 3D Slicer, providing an innovative and reliable tool for relevant clinical applications. The source codes are available at https://github.com/Bolun-Z/HandAISegmentation.
    Language English
    Publishing date 2024-04-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2695320-1
    ISSN 2168-2208 ; 2168-2194
    ISSN (online) 2168-2208
    ISSN 2168-2194
    DOI 10.1109/JBHI.2024.3391387
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5483: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

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  7. Article ; Online: From Coarse to Fine: Non-Rigid Sparse-Dense Registration for Deformation-Aware Liver Surgical Navigation.

    Tu, Puxun / Hu, Pingping / Wang, Junfeng / Chen, Xiaojun

    IEEE transactions on bio-medical engineering

    2024  Volume PP

    Abstract: Objective: Intraoperative liver deformation poses a considerable challenge during liver surgery, causing significant errors in image-guided surgical navigation systems. This study addresses a critical non-rigid registration problem in liver surgery: the ...

    Abstract Objective: Intraoperative liver deformation poses a considerable challenge during liver surgery, causing significant errors in image-guided surgical navigation systems. This study addresses a critical non-rigid registration problem in liver surgery: the alignment of intrahepatic vascular trees. The goal is to deform the complete vascular shape extracted from preoperative Computed Tomography (CT) volume, aligning it with sparse vascular contour points obtained from intraoperative ultrasound (iUS) images. Challenges arise due to the intricate nature of slender vascular branches, causing existing methods to struggle with accuracy and vascular self-intersection.
    Methods: We present a novel non-rigid sparse-dense registration pipeline structured in a coarse-to-fine fashion. In the initial coarse registration stage, we introduce a parametrization deformation graph and a Welsch function-based error metric to enhance convergence and robustness of non-rigid registration. For the fine registration stage, we propose an automatic curvature-based algorithm to detect and eliminate overlapping regions. Subsequently, we generate the complete vascular shape using posterior computation of a Gaussian Process Shape Model.
    Results: Experimental results using simulated data demonstrate the accuracy and robustness of our proposed method. Evaluation results on the target registration error of tumors highlight the clinical significance of our method in tumor location computation. Comparative analysis against related methods reveals superior accuracy and competitive efficiency of our approach. Moreover, Ex vivo swine liver experiments and clinical experiments were conducted to evaluate the method's performance.
    Conclusion: The experimental results itasize the accurate and robust performance of our proposed method.
    Significance: Our proposed non-rigid registration method holds significant application potential in clinical practice.
    Language English
    Publishing date 2024-04-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 160429-6
    ISSN 1558-2531 ; 0018-9294
    ISSN (online) 1558-2531
    ISSN 0018-9294
    DOI 10.1109/TBME.2024.3386704
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 425: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

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  8. Article: [Clinical application of "categorization by analogy" in acupuncture for pain syndromes].

    Chen, Xiaojun

    Zhongguo zhen jiu = Chinese acupuncture & moxibustion

    2018  Volume 38, Issue 3, Page(s) 305–307

    Abstract: The"categorization by analogy"is one of the most primitive thinking methods for ancient people to explore the world, which has exerted far-reaching impact on the origin and development of TCM. With examples of Sanjian (LI 3) for neck pain, Chize (LU 5) ... ...

    Abstract The"categorization by analogy"is one of the most primitive thinking methods for ancient people to explore the world, which has exerted far-reaching impact on the origin and development of TCM. With examples of Sanjian (LI 3) for neck pain, Chize (LU 5) for low back pain and Chengshan (BL 57) for dysmenorrhea, the clinical application of"categorization by analogy"in acupuncture for pain syndromes was discussed, hoping more acupuncturists will pay attention to the guiding role of"categorization by analogy"in acupuncture clinical treatment.
    MeSH term(s) Acupuncture Points ; Acupuncture Therapy ; Dysmenorrhea/therapy ; Female ; Humans ; Low Back Pain/therapy
    Language Chinese
    Publishing date 2018-04-26
    Publishing country China
    Document type Journal Article
    ISSN 0255-2930
    ISSN 0255-2930
    DOI 10.13703/j.0255-2930.2018.03.020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: The present status of metformin in fertility-preserving treatment in atypical endometrial hyperplasia and endometrioid endometrial cancer.

    Guan, Jun / Chen, Xiao-Jun

    Frontiers in endocrinology

    2022  Volume 13, Page(s) 1041535

    Abstract: Progestin therapy is the main fertility-sparing treatment for women with endometrial cancer (EC) and atypical endometrial hyperplasia (AEH). However, still 15-25% of these women failed to achieve complete response (CR) and then lost their fertility after ...

    Abstract Progestin therapy is the main fertility-sparing treatment for women with endometrial cancer (EC) and atypical endometrial hyperplasia (AEH). However, still 15-25% of these women failed to achieve complete response (CR) and then lost their fertility after definitive surgery. Metformin has been demonstrated to play an anti-cancer role in multiple cancers including EC. Several studies also suggested metformin had potential benefit in improving the therapeutic outcome of fertility-preserving treatment alongside with progestin. This review has discussed existed evidence regarding the effect of metformin combined with progestin for women with AEH and EC who desire childbearing. Nevertheless, the therapeutic effect of metformin varied in different studies due to the high heterogeneity in the patient's characteristics, the inconsistency in dose and treatment duration of metformin, the combined use of hysteroscopy, the insufficient sample size and underpowered study-design. Therefore, care should be taken when interpreting the current results on this issue. Till now, there is still no strong evidence supporting the use of metformin in fertility-preserving treatment in AEH and EEC patients. Further research is needed to provide high-quality data to validate the role of metformin as adjunctive therapy alongside with progestin to preserve fertility for AEH and EEC patients.
    MeSH term(s) Humans ; Female ; Endometrial Hyperplasia/drug therapy ; Endometrial Hyperplasia/surgery ; Metformin/therapeutic use ; Progestins/therapeutic use ; Fertility Preservation/methods ; Carcinoma, Endometrioid/drug therapy ; Endometrial Neoplasms/drug therapy
    Chemical Substances Metformin (9100L32L2N) ; Progestins
    Language English
    Publishing date 2022-10-27
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2592084-4
    ISSN 1664-2392
    ISSN 1664-2392
    DOI 10.3389/fendo.2022.1041535
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: 3D Surface-Closed Mesh Clipping Based on Polygonal Partitioning for Surgical Planning.

    Gong, Mingjun / Chen, Xiaojun

    IEEE transactions on visualization and computer graphics

    2022  Volume PP

    Abstract: How to create an efficient and accurate interactive tool for triangular mesh clipping is one of the key problems to be solved in computer-assisted surgical planning. Although the existing algorithms can realize three-dimensional model clipping, problems ... ...

    Abstract How to create an efficient and accurate interactive tool for triangular mesh clipping is one of the key problems to be solved in computer-assisted surgical planning. Although the existing algorithms can realize three-dimensional model clipping, problems still remain unsolved regarding the flexibility of clipping paths and the capping of clipped cross-sections. In this study, we propose a mesh clipping algorithm for surgical planning based on polygonal convex partitioning. Firstly, two-dimensional polygonal regions are extended to three-dimensional clipping paths generated from selected reference points. Secondly, the convex regions are partitioned with a recursive algorithm to obtain the clipped and residual models with closed surfaces. Finally, surgical planning software with the function of mesh clipping has been developed, which is capable to create complex clipping paths by normal vector adjustment and thickness control. The robustness and efficiency of our algorithm have been demonstrated by surgical planning of craniomaxillofacial osteotomy, pelvis tumor resection and cranial vault remodeling.
    Language English
    Publishing date 2022-12-20
    Publishing country United States
    Document type Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2022.3230739
    Database MEDical Literature Analysis and Retrieval System OnLINE

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