4 results on '"Zeng, Hong"'
Search Results
2. Analysis of risk factors and interactions for pain in temporomandibular disorder: A cross‐sectional study.
- Author
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Yang, Yang, Xu, Li‐li, Liu, Sha‐sha, Lu, Shen‐ji, Liu, Li‐kun, Zeng, Hong, and Fang, Zhong‐yi
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RISK assessment , *TEMPOROMANDIBULAR disorders , *CROSS-sectional method , *PAIN measurement , *PHYSICAL diagnosis , *SOMATOFORM disorders , *RESEARCH funding , *MULTIPLE regression analysis , *INTERVIEWING , *QUESTIONNAIRES , *ANXIETY , *PAIN , *HEALTH behavior , *MARITAL status , *SLEEP quality , *CONFIDENCE intervals , *FACTOR analysis , *ORAL health , *BIOPSYCHOSOCIAL model , *MENTAL depression - Abstract
Background: Risk factors for temporomandibular disorder (TMD) pain remain unclear. Objectives: This study aimed to identify risk factors for TMD pain using a biopsychosocial model and to investigate interactions between potential risk factors—oral behaviours (OBs), psychological factors and sleep quality—and their direct and indirect effects on TMD pain. Methods: This was a cross‐sectional study of 488 patients with TMDs (422 women; 30.8 ± 9.4 years). Pain was assessed using the Numerical Rating Scale. Demographic, behavioural, psychological and biomedical data were collected through clinical examination, face‐to‐face interviews and questionnaires. Multiple linear regression analysis was used to identify factors associated with TMD pain. Mediation and moderation analysis were used to evaluate interactions between variables. Significant mediation ('0' not included in the 95% confidence interval (CI)) and moderation (p <.05) effects on TMD pain were identified. Results: Marital status, diagnosis subgroup, previous medication use, depression and sleep quality were significant risk factors for TMD pain (p <.05). Significant mediation effects were observed as follows: depression and sleep quality mediated the association between OBs and pain; sleep quality mediated the association between somatization, depression, anxiety and pain; and depression mediated the association between sleep quality and pain (all 95% CI did not contain '0'). Conclusions: (1) Marital status, diagnosis subgroup, previous medication use, depression and sleep quality were associated with TMD pain. (2) OBs can exacerbate pain by promoting depression and reducing sleep quality. Psychological factors and sleep quality can interact to exacerbate pain. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
3. Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
- Author
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Wu, Shaoxu, Hong, Guibin, Xu, Abai, Zeng, Hong, Chen, Xulin, Wang, Yun, Luo, Yun, Wu, Peng, Liu, Cundong, Jiang, Ning, Dang, Qiang, Yang, Cheng, Liu, Bohao, Shen, Runnan, Chen, Zeshi, Liao, Chengxiao, Lin, Zhen, Wang, Jin, and Lin, Tianxin
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CYSTOSCOPY , *ARTIFICIAL intelligence , *LYMPHATIC metastasis , *BLADDER cancer , *RECEIVER operating characteristic curves , *LYMPHADENECTOMY - Abstract
Accurate lymph node staging is important for the diagnosis and treatment of patients with bladder cancer. We aimed to develop a lymph node metastases diagnostic model (LNMDM) on whole slide images and to assess the clinical effect of an artificial intelligence-assisted (AI) workflow. In this retrospective, multicentre, diagnostic study in China, we included consecutive patients with bladder cancer who had radical cystectomy and pelvic lymph node dissection, and from whom whole slide images of lymph node sections were available, for model development. We excluded patients with non-bladder cancer and concurrent surgery, or low-quality images. Patients from two hospitals (Sun Yat-sen Memorial Hospital of Sun Yat-sen University and Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China) were assigned before a cutoff date to a training set and after the date to internal validation sets for each hospital. Patients from three other hospitals (the Third Affiliated Hospital of Sun Yat-sen University, Nanfang Hospital of Southern Medical University, and the Third Affiliated Hospital of Southern Medical University, Guangzhou, Guangdong, China) were included as external validation sets. A validation subset of challenging cases from the five validation sets was used to compare performance between the LNMDM and pathologists, and two other datasets (breast cancer from the CAMELYON16 dataset and prostate cancer from the Sun Yat-sen Memorial Hospital of Sun Yat-sen University) were collected for a multi-cancer test. The primary endpoint was diagnostic sensitivity in the four prespecified groups (ie, the five validation sets, a single-lymph-node test set, the multi-cancer test set, and the subset for a performance comparison between the LNMDM and pathologists). Between Jan 1, 2013 and Dec 31, 2021, 1012 patients with bladder cancer had radical cystectomy and pelvic lymph node dissection and were included (8177 images and 20 954 lymph nodes). We excluded 14 patients (165 images) with concurrent non-bladder cancer and also excluded 21 low-quality images. We included 998 patients and 7991 images (881 [88%] men; 117 [12%] women; median age 64 years [IQR 56–72]; ethnicity data not available; 268 [27%] with lymph node metastases) to develop the LNMDM. The area under the curve (AUC) for accurate diagnosis of the LNMDM ranged from 0·978 (95% CI 0·960–0·996) to 0·998 (0·996–1·000) in the five validation sets. Performance comparisons between the LNMDM and pathologists showed that the diagnostic sensitivity of the model (0·983 [95% CI 0·941–0·998]) substantially exceeded that of both junior pathologists (0·906 [0·871–0·934]) and senior pathologists (0·947 [0·919–0·968]), and that AI assistance improved sensitivity for both junior (from 0·906 without AI to 0·953 with AI) and senior (from 0·947 to 0·986) pathologists. In the multi-cancer test, the LNMDM maintained an AUC of 0·943 (95% CI 0·918–0·969) in breast cancer images and 0·922 (0·884–0·960) in prostate cancer images. In 13 patients, the LNMDM detected tumour micrometastases that had been missed by pathologists who had previously classified these patients' results as negative. Receiver operating characteristic curves showed that the LNMDM would enable pathologists to exclude 80–92% of negative slides while maintaining 100% sensitivity in clinical application. We developed an AI-based diagnostic model that did well in detecting lymph node metastases, particularly micrometastases. The LNMDM showed substantial potential for clinical applications in improving the accuracy and efficiency of pathologists' work. National Natural Science Foundation of China, the Science and Technology Planning Project of Guangdong Province, the National Key Research and Development Programme of China, and the Guangdong Provincial Clinical Research Centre for Urological Diseases. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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4. Effectiveness of intraoperative cell salvage combined with a modified leucocyte depletion filter in metastatic spine tumour surgery.
- Author
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Zong, Ya-nan, Xu, Chuan-ya, Gong, Yue-qing, Zhang, Xiao-qing, Zeng, Hong, Liu, Chang, Zhang, Bin, Xue, Li-xiang, Guo, Xiang-yang, Wei, Feng, and Li, Yi
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AUTOTRANSFUSION of blood , *ACADEMIC medical centers , *CLINICAL trials , *OSTEOSARCOMA , *LEUKOCYTE count , *FLUORESCENCE in situ hybridization , *DESCRIPTIVE statistics , *CELL lines , *DATA analysis software , *SPINAL tumors - Abstract
Background: To compare the effectiveness of intraoperative cell salvage (IOCS) combined with a modified leucocyte depletion filter (MLDF) with IOCS combined with a regular leucocyte depletion filter (RLDF) in eliminating tumour cells from blood salvage during metastatic spine tumour surgery (MSTS). Methods: Patients with a known primary epithelial tumour who underwent MSTS were recruited for this study. Blood samples were collected in 5 stages: from the patients' vein before anaesthesia induction (S1), from the operative field at the time of maximum tumour manipulation (S2), and from the operative blood after IOCS processing (S3) and after IOCS+RLDF (S4) and IOCS+MLDF (S5) processing. The polyploids of tumour cells in the blood samples were collected and counted with immunomagnetic separation enrichment and fluorescence in situ hybridization. Results: We recruited 20 patients. Tumour cells were detected in 14 patients (70%) in S1, 16 patients (80%) in S2, 13 patients (65%) in S3, and 12 patients (60%) in S4. MLDF was added in 8 patients. Tumour cells were detected in only 1 of 8 patients in S5 (12.5%). There were significantly fewer tumour cells in the samples collected after MLDF processing (S5) than in the samples collected after RLDF (S4) and around the tumour (S2) (P = 0.016 and P = 0.039, respectively). Although no significant difference was observed between S4 and S1, a downward trend was observed after IOCS+RLDF processing. Conclusions: Tumour cells could be removed by IOCS combined with RLDF from blood salvaged during MSTS, but residual tumour cells remained. The findings support the notion that MLDF eliminates tumour cells more effectively than RLDF. Hence, this technique can be applied to MSTS. Trial registration: ChiCTR1800016162 Chinese Clinical Trial Registry. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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