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Weekly Image Guidance in Patients With Cervical Cancer Treated With Intensity‐Modulated Radiation Therapy: Results of a Large Cohort Study
Published 2024-09-01“…For patients with and without positive regional lymph nodes, the 5‐year OS, DFS, LRFS, and DMFS rates were 64.5% and 86.0%, 56.8% and 78.8%, 62.7% and 84.3%, and 58.8% and 81.0%, respectively. Multivariate analysis showed that age, histology, tumor size, cancer stage, pretreatment squamous cell carcinoma antigen level, and para‐aortic metastatic lymph nodes were independent prognostic factors of OS. …”
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Efficacy and safety of image-guided hypofractionated radiotherapy for hepatocellular carcinoma with portal vein tumor thrombosis: a retrospective, multicenter study
Published 2025-04-01“…At 3 months follow-up, 13.0% had a complete response, 36.2% had a partial response, 46.4% had a stable disease and 4.4% had a progressive disease. In the multivariate analysis, alpha-fetoprotein level ≥ 600 IU/ml (hazard ratio [HR] 2.06, p = 0.03), Child–Pugh Class B or C (HR 2.30, p = 0.02), and stage IVA or IVB (4.05, p = 0.02) were significantly related to OS. …”
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Association of ECG parameters with late gadolinium enhancement and outcome in patients with clinical suspicion of acute or subacute myocarditis referred for CMR imaging.
Published 2020-01-01“…Further, a wide QRS-T angle, low voltage and prolonged QTc duration were associated with MACE in the univariable analysis. In a multivariable model, late gadolinium enhancement (HR: 1.90, 95%CI: 1.17-3.10; p = 0.010) and the ECG parameters of a low QRS voltage (HR: 1.86, 95%CI: 1.01-3.42; p = 0.046) and QRS-T-angle (HR: 1.01, 95%CI: 1.00-1.01; p = 0.029) remained independently associated with outcome. …”
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Development and Validation of Imaging‐Free Myocardial Fibrosis Prediction Models, Association with Outcomes, and Sample Size Estimation for Phase 3 Trials
Published 2025-04-01“…Background Phase 3 trials testing whether pharmacologic interventions targeting myocardial fibrosis improve outcomes require myocardial fibrosis measurement that does not rely on tomographic imaging with intravenous contrast. Methods We developed and externally validated extracellular volume (ECV) prediction models incorporating readily available data (comorbidity and natriuretic peptide variables), excluding tomographic imaging variables. …”
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Prediction model for the early recurrence of stage IA–IIA non-small cell lung cancer based on hematological indexes and imaging features
Published 2025-05-01“…Methods We retrospectively analyzed the hematological indices and imaging indicators of patients with stage IA–IIA NSCLC who underwent surgery at our hospital, and relevant clinical data were obtained through long-term follow-up from September 2019 to September 2020. …”
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Serum calcium and phosphate levels and carotid atherosclerotic plaque characteristics: a retrospective study by high-resolution MR vessel wall imaging
Published 2025-05-01“…In multivariate regression analysis, the serum P level was independently associated with wall area, β = −0.211, 95% CI (−0.367, −0.052).ConclusionLower serum phosphorus levels are associated with an increased carotid artery plaque wall area.…”
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Impact of Multiparametric Magnetic Resonance Imaging for the Prediction of Extraprostatic Extension According to the National Comprehensive Cancer Network Risk Stratification in Pr...
Published 2023-07-01“…The LR group showed relatively low sensitivity and positive predictive value compared with other groups. In the multivariate analysis, suspicious EPE on mpMRI was a significant predictive factor for EPE in the final pathology in the FIR, UIR, and HR groups (p=0.012, p=0.011, and p=0.001, respectively), whereas no correlation was observed in the LR group (p=0.711). …”
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A nomogram integrating the clinical and CT imaging characteristics for assessing spread through air spaces in clinical stage IA lung adenocarcinoma
Published 2025-04-01“…Data from clinical assessments and CT imaging were gathered from all participants. In the training cohort, analyses employing both multivariate and univariate logistic regression were performed to discern significant clinical and CT characteristics. …”
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Body Image Dissatisfaction and Its Associated Factors among Female Students at Sultan Qaboos University, Oman: A Cross-sectional Study
Published 2025-04-01“…Of these, 17.9% reported BID (95% CI: 14.54–21.73%). In the multivariate analysis, significant correlations were observed between BID and the subscales of social media addiction: time displacement (OR: 1.353; P = 0.001), compulsive tendencies (OR: 1.424; P = 0.001), and social consequences (OR: 1.200; P = 0.013). …”
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The Fusion of Focused Spectral and Image Texture Features: A New Exploration of the Nondestructive Detection of Degeneration Degree in <i>Pleurotus geesteranus</i>
Published 2025-07-01“…In this study, a nondestructive detection method for strain degradation based on the fusion of hyperspectral technology and image texture features is presented. Hyperspectral and microscopic image data were acquired from <i>Pleurotus geesteranus</i> strains exhibiting varying degrees of degradation, followed by preprocessing using Savitzky–Golay smoothing (SG), multivariate scattering correction (MSC), and standard normal variate transformation (SNV). …”
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Investigation the therapeutic effect of mindfulness-based cognitive-behavioral counseling in pregnant women with body image dissatisfaction: A randomized controlled trial
Published 2025-06-01“…In the intervention group, Mindfulness-based cognitive behavioral therapy was taught to pregnant women over 8 consecutive sessions, while the control group received no intervention. Body image concerns questionnaire was completed by both groups before and after the intervention, and data were analyzed using descriptive statistics and multivariate analysis of covariance. …”
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Change in diffusion weighted imaging after induction chemotherapy outperforms RECIST guideline for long-term outcome prediction in advanced nasopharyngeal carcinoma
Published 2025-03-01“…Neither ADCpre nor ADCpost−IC (p = 0.07 to 0.97) predicted outcome. Multivariate analysis showed that ΔADC% independently predicted DFS, LRRFS, and DMFS (p < 0.01 to 0.03). …”
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Imagen corporal percibida en mujeres adolescentes deportistas y no deportistas (Perceived body image in female adolescent athletes and non-athletes)
Published 2020-01-01“…The results of the one-way multivariate analysis of variance, followed by the one-way univariate analyses of variance, showed that adolescents who do not regularly participate in sports show thicker models in their present and social body image, in addition to displaying higher body dissatisfaction. …”
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Deep learning models based on multiparametric magnetic resonance imaging and clinical parameters for identifying synchronous liver metastases from rectal cancer
Published 2025-05-01“…Abstract Objectives To establish and validate deep learning (DL) models based on pre-treatment multiparametric magnetic resonance imaging (MRI) images of primary rectal cancer and basic clinical data for the prediction of synchronous liver metastases (SLM) in patients with Rectal cancer (RC). …”
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A toolbox for representational similarity analysis.
Published 2014-04-01“…It is designed to help integrate a wide range of computational models into the analysis of multichannel brain-activity measurements as provided by modern functional imaging and neuronal recording techniques. …”
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Rationale and protocol for a longitudinal cohort study of children with cerebral palsy in China assessing functional developmental trends, genetic aetiology and imaging
Published 2025-07-01“…Analytical methods will include correlation analysis, logistic regression (binary and multivariate), linear and non-linear mixed-effects models and structural equation modelling.Ethics and dissemination Ethics approval was granted by the Research Ethics Committee of Guangzhou Women and Children’s Medical Center (No.2023-346A01). …”
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Multi-view fusion of diffusion MRI microstructural models: a preterm birth study
Published 2024-12-01“…We thus resorted to (i) a traditional univariate voxel-wise inferential method, as the Tract-Based Spatial Statistics (TBSS) approach; (ii) a univariate predictive approach, as the Support Vector Machine (SVM) classification; and (iii) a multivariate predictive Canonical Correlation Analysis (CCA).Main resultsThe TBSS analysis revealed significant differences between preterm and term cohorts in several white matter areas for multiple HARDI features. …”
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Effect of glycemic status on myocardial deformation and microvascular function in uncomplicated pediatric type 1 diabetes mellitus: cardiac magnetic resonance imaging
Published 2025-05-01“…When the perfusion indices were included in the multivariable analysis for diastolic dysfunction, upslope (β = 0.10, p = 0.016) and MaxSI (β = − 0.02, p = 0.006) were associated with reduced longitudinal PDSR. …”
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