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    PSMA-PET-derived distance features as biomarkers for predicting outcomes in primary prostate cancer post-radical prostatectomy by Ruohua Chen, Ye Li, Dong Liang, Jianjun Liu, Tao Sun

    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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    Prediction of microvascular invasion in hepatocellular carcinoma with conventional ultrasound, Sonazoid-enhanced ultrasound, and biochemical indicator: a multicenter study by Dan Lu, Li-Fan Wang, Hong Han, Lin-Lin Li, Wen-Tao Kong, Qian Zhou, Bo-Yang Zhou, Yi-Kang Sun, Hao-Hao Yin, Ming-Rui Zhu, Xin-Yuan Hu, Qing Lu, Han-Sheng Xia, Xi Wang, Chong-Ke Zhao, Jian-Hua Zhou, Hui-Xiong Xu

    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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  7. 507

    Clinico-pathological factors and [18F]FDG PET/CT metabolic parameters for prediction of progression-free survival in radioiodine refractory differentiated thyroid carcinoma by Nguyen Thi Phuong, Mai Hong Son, Mai Huy Thong, Le Ngoc Ha

    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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    Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer by Nan Yang, Zhuang Xuan Ma, Xin Wang, Li Xiao, Liang Jin, Ming Li

    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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  12. 512

    Assessment of right ventricle–to–pulmonary artery coupling by three-dimensional echocardiography in pre-capillary pulmonary hypertension: comparison with tricuspid annular plane sy... by Guangjie Lv, Aili Li, Yanan Zhai, Lei Li, Mei Deng, Jieping Lei, Xincao Tao, Qian Gao, Wanmu Xie, Zhenguo Zhai

    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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    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 by Alexander Brose, Isabelle Miederer, Jochem König, Eleni Gkika, Jörg Sahlmann, Tanja Schimek-Jasch, Mathias Schreckenberger, Ursula Nestle, Jutta Kappes, Matthias Miederer

    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 by Xiaoyan Lu, Fan Liu, Jiahui E, Xiaoting Cai, Jingyi Yang, Xueqi Wang, Yuwei Zhang, Bingsheng Sun, Ying Liu

    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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  17. 517

    Prediction of acute pancreatitis severity based on early CT radiomics by Mingyao Qi, Chao Lu, Rao Dai, Jiulou Zhang, Hui Hu, Xiuhong Shan

    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 by Zijun Song, Liyong Zhuo, Jiawei Hao, Huan Meng, Tianda Wang, Jian Zhang

    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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