Search alternatives:
image » images (Expand Search)
Showing 321 - 340 results of 1,219 for search 'Multivariate image analysis', query time: 0.19s Refine Results
  1. 321

    Dynamic change in maternal cardiac function during pregnancy by Xiu-Juan Wang, Ling-Ling Chen, Ming-Huan Hong, Ling-Yun Kong, Wei Xiang, Li Fu, Xiao-Wei Li, Fang Liu

    Published 2025-06-01
    “…The difference in cardiac structure and function among the 4 groups were analyzed. Multivariate regression analysis was conducted to identify the independent factors influencing change in cardiac function.ResultsThe median age of the 4 groups were comparable [T1 group, 31.0 (28.5,34.0) years; T2 group, 31.0 (29.0,34.0) years; T3 group, 31.0 (29.0,34.0) years; the NPC group, 31.0 (28.0,34.0) years, P = 0.905). …”
    Get full text
    Article
  2. 322

    Value of multi-modal MRI in predicting the effect of high-intensity focused ultrasound for uterine fibroids by Si-Qi Tao, Li-Ye Shi, Xiao-Shan Chai, Xiao-Rui Yuan, Shi-Xiong Tang, Jun Zhang, Du-Jun Bian, Chun Fu

    Published 2025-12-01
    “…Univariate and multivariate logistic analyses suggested that uterine position, ADC value and perfusion index were independent predictors for establishing the prediction model. …”
    Get full text
    Article
  3. 323

    Abstract 033: Trends in Cerebral Angiogram Utilization for Patients with Infective Endocarditis: A Nationwide Analysis by Giana Dawod, Alis J. Dicpinigaitis, Paulina Díaz, Clinton Ehidom, Nicholas Janocko, Alexander E. Merkler

    Published 2023-11-01
    “…IE VS patients undergoing angiography experienced significantly decreased mortality rates in comparison to those not receiving an angiogram (4.3% vs. 7.5%; p < 0.001). Following multivariable logistic regression analysis, angiography was significantly associated with decreased mortality, independent of age and illness severity (aOR 0.49, 95% CI 0.37, 0.66; p < 0.001). …”
    Get full text
    Article
  4. 324

    Low Testosterone Level and Mortality Risk in Patients With Prostate Cancer: A Post‐Randomization Analysis by Sayeh Fattahi, Ming‐Hui Chen, Jing Wu, Alicia C. Smart, Anthony V. D'Amico

    Published 2025-08-01
    “…Trial Registration The statisical code used to derive the results from the interaction model for this post randomization analysis can be found in the Supporting Information.…”
    Get full text
    Article
  5. 325

    Multi-parametric MRI-based radiomics nomogram for predicting lymphovascular space invasion in early-stage cervical adenocarcinoma by Ke-Ying Wang, Mei-Ling Xiao, Mei-Ling Xiao, Yu-Han Fang, Yu-Han Fang, Jie-Jun Cheng, Zi-Jing Lin, Ying Li, Jin-Wei Qiang

    Published 2025-08-01
    “…Tumor volumes of interest (VOIs) were segmented on T2-weighted imaging (FS-T2WI) and aligned to diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) maps, and T1-weighted imaging (CE-T1WI) sequences. …”
    Get full text
    Article
  6. 326
  7. 327

    Developing a predictive model for neoadjuvant therapy in HER2 overexpression breast cancer using multi-parameter MRI radiomics: two-center retrospective study by Lingling Wang, Jingru Yang, Li Yang, Yun Zhu, Xiaomin Tang, Xinyu Cao, Wenbo Kang, Haitao Sun, Zongyu Xie, Zongyu Xie, Zongyu Xie

    Published 2025-07-01
    “…Model performance was evaluated using AUC, DeLong test, calibration curves, and decision curve analysis (DCA).ResultsIn this study, multivariate analysis identified key predictive clinical factors for pCR, including Ki-67 increment index and tumor morphology. …”
    Get full text
    Article
  8. 328

    Characteristics of Cerebral Cortical Structural Alterations in Female Patients with Systemic Lupus Erythematosus Without Major Neuropsychiatric Manifestations Accompanied by Anxiet... by Zhicheng Liu, Yifan Yang, Shuang Liu, Guofang Zhang, Ru Bai, Shu Li, Ruotong Zhao, Yuqi Cheng, Jian Xu

    Published 2025-06-01
    “…However, neither GMV, CT, nor cortical complexity exhibited significant associations with Hamilton Anxiety Scale (HAMA) or Hamilton Depression Scale (HAMD) scores. Multivariate linear regression analysis indicated that the CT of left hemisphere-related brain areas—including the superior occipital gyrus, parieto-occipital sulcus, cuneus and opercular part of the inferior frontal gyrus—and the GI of the superior frontal gyrus significantly influenced HAMD/HAMA scores. …”
    Get full text
    Article
  9. 329

    Prediction of depth of invasion and lymph node metastasis in superficial pharyngeal cancer by magnifying endoscopy using the Japan Esophageal Society classification by Hayato Yamaguchi, Takashi Kawai, Masakatsu Fukuzawa, Daiki Nemoto, Yasuyuki Kagawa, Shin Kono, Sakiko Naito, Hiroki Sato, Naoyoshi Nagata, Mitsushige Sugimoto, Kiyoaki Tsukahara, Takao Itoi

    Published 2023-04-01
    “…Results The lesions were divided into carcinoma in situ (n = 41) and SEP (n = 82). Multivariate analysis identified B2–B3 vessels (odds ratio [OR] 6.54, 95% confidence interval [CI] 1.74–24.61, p = 0.005) and a middle/large avascular area (OR 4.15, 95% CI 1.18–14.62, p = 0.027) as independent predictors of SEP. …”
    Get full text
    Article
  10. 330

    Characteristics and prognostic analysis of cystic vestibular schwannomas: prolonged surgical duration with limited impact on neurological function by Xuanpeng Li, Hongying Cai, Huijun Gong, Zi’ang Wang, Jibo Lv

    Published 2025-07-01
    “…Comparisons were made regarding tumor volume, surgical duration, GTR rates, and postoperative preservation of facial nerve function and hearing. Multivariate analysis was used to identify independent predictors for postoperative functional outcomes.ResultsThe findings revealed that CVS cases had larger tumor volumes and longer surgical durations (96.6 minutes vs. 87.5 minutes) compared to SVS. …”
    Get full text
    Article
  11. 331

    Fear of movement in patients after lumbar spine fusion and an analysis of factors: a cross-sectional study by Yingyan Pan, Qiong Qi, Chao Yang, Meng Dai, Huihui Zhang, Jie Wen, Hailing Qiu

    Published 2025-03-01
    “…Additionally, clinical and imaging risk factors were analyzed through multivariate regression analysis to determine relevant influencing factors.ResultsFollowing strict inclusion and exclusion criteria, a total of 178 patients who underwent posterior lumbar fusion were included in this study, comprising 104 males (58.4%). …”
    Get full text
    Article
  12. 332

    Analysis of clinical characteristics and diagnostic prediction of Qi deficiency and blood stasis syndrome in acute ischemic stroke by Xu Hao, Zhu Xu, Li Bo, Liu Xiaodan, Pan Xihui, Deng Changqing

    Published 2025-03-01
    “…The indicators with statistical difference (P < 0.05) in univariate analysis were included in multivariate logistic regression analysis to evaluate their predictive value for the diagnosis of Qi deficiency and blood stasis syndrome, and the predictive model was constructed by receiver operating characteristic (ROC) curve analysis. …”
    Get full text
    Article
  13. 333

    Shifting tides: A survey analysis of urologists’ evolving attitudes toward focal therapy for prostate cancer by Jason Koehler, Alon Lazarovich, Shima Tayebi, Vijay Viswanath, Arvin George, Wei-Wen Hsu, Abhinav Sidana

    Published 2025-01-01
    “…Methods: A 22-item questionnaire was e-mailed to members of the American Urological Association. Multivariate logistic regression analysis was used to identify predictors of FT utilization. …”
    Get full text
    Article
  14. 334

    Biomarkers of Eating Disorders Using Support Vector Machine Analysis of Structural Neuroimaging Data: Preliminary Results by Antonio Cerasa, Isabella Castiglioni, Christian Salvatore, Angela Funaro, Iolanda Martino, Stefania Alfano, Giulia Donzuso, Paolo Perrotta, Maria Cecilia Gioia, Maria Carla Gilardi, Aldo Quattrone

    Published 2015-01-01
    “…Although these findings should be considered preliminary given the small size investigated, SVM analysis highlights the role of well-known brain regions as possible biomarkers to distinguish ED from HC at an individual level, thus encouraging the translational implementation of this new multivariate approach in the clinical practice.…”
    Get full text
    Article
  15. 335
  16. 336

    Machine learning models for diagnosing lymph node recurrence in postoperative PTC patients: a radiomic analysis by Feng Pang, Lijiao Wu, Jianping Qiu, Yu Guo, Liangen Xie, Shimin Zhuang, Mengya Du, Danni Liu, Chenyue Tan, Tianrun Liu

    Published 2025-08-01
    “…This study aimed to explore the diagnostic capabilities of computed tomography (CT) imaging and radiomic analysis to distinguish the recurrence of cervical lymph nodes in patients with PTC postoperatively. …”
    Get full text
    Article
  17. 337

    Diagnostic Value of F-FDG PET/CT Radiomics in Lymphoma: A Systematic Review and Meta-Analysis by Chaoying Liu MD, Jun Zhao PhD, Heng Zhang PhD, Xinye Ni PhD

    Published 2025-05-01
    “…Results In total, 20 studies classified as type 2a or above according to the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD) statement were included for this systematic review and meta-analysis. …”
    Get full text
    Article
  18. 338

    Deep learning based analysis of G3BP1 protein expression to predict the prognosis of nasopharyngeal carcinoma. by Linshan Zhou, Mu Yang, Jiadi Luo, Hongjing Zang, Songqing Fan, Yuting Zhan

    Published 2025-01-01
    “…<h4>Background</h4>Ras-GTPase-activating protein (GAP)-binding protein 1 (G3BP1) emerges as a pivotal oncogenic gene across various malignancies, notably including nasopharyngeal carcinoma (NPC). The use of automated image analysis tools for immunohistochemical (IHC) staining of particular proteins is highly beneficial, as it could reduce the burden on pathologists. …”
    Get full text
    Article
  19. 339

    A Comprehensive Framework for Out-of-Distribution Detection and Open-Set Recognition in SAR Targets by Fei Gao, Heqing Huang, Jun Wang, Jinping Sun, Amir Hussain, Huiyu Zhou

    Published 2025-01-01
    “…The rejection of outlier data in synthetic aperture radar (SAR) image analysis presents a significant challenge, particularly in the scenarios of out-of-distribution (OOD) detection and open set recognition (OSR). …”
    Get full text
    Article
  20. 340