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PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy
Published 2025-07-01“…Multivariable Cox regression analysis identified the best model with PMTV (HR: 2.57, p = 0.004) and Dmax (HR: 1.98, p = 0.009) as independent predictors for biochemical recurrence (C-index = 0.68). …”
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Resting state brain network segregation is associated with walking speed and working memory in older adults
Published 2025-04-01“…Structural and functional resting state magnetic resonance images were collected using a Siemens Prisma 3T scanner. …”
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Anatomical heterogeneity in low-grade and high-grade gliomas: A multiscale perspective
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Prediction of microvascular invasion in hepatocellular carcinoma with conventional ultrasound, Sonazoid-enhanced ultrasound, and biochemical indicator: a multicenter study
Published 2024-10-01“…All of them underwent preoperative biochemical, conventional ultrasound (US), and contrast-enhanced ultrasound (CEUS) (Sonazoid, 0.6 mL, bolus injection) examinations. Univariate and multivariate logistic regression analyses on clinical information, biochemical indicator, and US imaging features were performed in the training set to seek independent predictors for MVI-positive. …”
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Clinico-pathological factors and [18F]FDG PET/CT metabolic parameters for prediction of progression-free survival in radioiodine refractory differentiated thyroid carcinoma
Published 2024-12-01“…PFS curves were plotted using Kaplan–Meier analysis. Univariate and multivariate Cox regression analyses were performed to identify the prognostic factors for PFS. …”
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Diagnostic value of dual-layer spectral detector CT parameters for differentiating high- from low-grade bladder cancer
Published 2025-01-01“…Multivariable analysis found that AEF was the best predictor of high-grade tumors (p = 0.006). …”
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Sex differences and age-related changes of large-scale brain networks
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Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer
Published 2025-05-01“…Recent studies have only focused on radiomics, which extracts detailed quantitative features from imaging, with clinical risk factors to improve prognostic models. …”
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Assessment of right ventricle–to–pulmonary artery coupling by three-dimensional echocardiography in pre-capillary pulmonary hypertension: comparison with tricuspid annular plane sy...
Published 2025-04-01“…Additionally, 24 chronic thromboembolic pulmonary hypertension (CTEPH) patients were enrolled to explore the changes in echocardiographic RV-PA coupling parameters before and after PEA. Multivariate ordinal regression analysis was performed to identify echocardiographic parameters associated with prognostic risk stratification in pre-capillary PH patients. …”
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A new scoring system for risk stratification of thyroid tumors
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Cardiovascular risk in childhood and young adulthood is associated with the hemodynamic response function in midlife: The Bogalusa Heart Study
Published 2025-08-01“…The composite HRF summary characteristics over all ROIs were calculated for multivariable and simple linear regression analyses. …”
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Prognostic value of metabolic tumor volume on [18F]FDG PET/CT in addition to the TNM classification system of locally advanced non-small cell lung cancer
Published 2024-12-01“…Subgroup analyses were performed to compare hazard ratios according to TNM, MTV, and the two variables combined. Results In the multivariable Cox regression analysis, MTV was associated with significantly worse overall survival independent of stage and other prognostic variables. …”
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CT-based machine learning model integrating intra- and peri-tumoral radiomics features for predicting occult lymph node metastasis in peripheral lung cancer
Published 2025-08-01“…A clinical-radiomics model incorporating radiomics signature, independent clinical factors and CT semantic features was established via multivariable logistic regression analysis and presented as a nomogram. …”
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Prediction of acute pancreatitis severity based on early CT radiomics
Published 2024-11-01“…The stability of the radiomics features was assessed through inter-observer Intraclass Correlation Coefficient analysis. Feature selection was carried out using univariate analysis and least absolute shrinkage and selection operator (LASSO) regression with 10-fold cross-validation. …”
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Development and validation of a radiomics-based model for early prediction of delayed radiological recovery from Mycoplasma pneumoniae pneumonia: a multicenter study
Published 2025-07-01“…Multivariate logistic regression analysis revealed that D-dimer levels (odds ratio [OR]: 4.06, 95% confidence interval [CI]: 2.52–6.55; p < 0.001), the systemic immune-inflammation index (SII) (OR: 6.61, 95% CI: 2.08–21.00; p = 0.001), and the consolidation pattern (OR: 2.82, 95% CI = 1.52–5.24; p = 0.001) were significantly associated with delayed recovery. …”
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