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Year Number of Results
2020 1
2021 2
2022 2
2023 4
2024 4

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11 results

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Page 1
Development and validation of prognostic nomograms for large hepatocellular carcinoma after HAIC.
Yao W, Wei R, Jia J, Li W, Zuo M, Zhuo S, Shi G, Wu P, An C. Yao W, et al. Ther Adv Med Oncol. 2023 Apr 17;15:17588359231163845. doi: 10.1177/17588359231163845. eCollection 2023. Ther Adv Med Oncol. 2023. PMID: 37113732 Free PMC article.
The performance outcomes of all models were compared by area under the receiver operating characteristic curve (AUC) analysis with the DeLong test. RESULTS: Multivariable analysis identified larger tumor size, vascular invasion, metastasis, high albumin-bilirubin grade, an …
The performance outcomes of all models were compared by area under the receiver operating characteristic curve (AUC) analysis with the De …
Multidelay MR Arterial Spin Labeling Perfusion Map for the Prediction of Cerebral Hyperperfusion After Carotid Endarterectomy.
Fan X, Lai Z, Lin T, Li K, Hou B, You H, Wei J, Qu J, Liu B, Zuo Z, Feng F. Fan X, et al. J Magn Reson Imaging. 2023 Oct;58(4):1245-1255. doi: 10.1002/jmri.28634. Epub 2023 Mar 23. J Magn Reson Imaging. 2023. PMID: 36951494

STATISTICAL TESTS: Weighted kappa values, independent sample t test, chi-square test, Mann-Whitney U-test, multivariable logistic regression analysis, receiver-operating characteristic curve analysis, and Delong test. Significance level was P < 0.05. RESULTS: Cerebral h

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STATISTICAL TESTS: Weighted kappa values, independent sample t test, chi-square test, Mann-Whitney U-test, multivariable logistic regression …
MRI-Based Radiomics and Delta-Radiomics Models of the Patella Predict the Radiographic Progression of Osteoarthritis: Data From the FNIH OA Biomarkers Consortium.
Jiang H, Peng Y, Qin SY, Chen C, Pu Y, Liang R, Chen Y, Zhang XM, Sun YB, Zuo HD. Jiang H, et al. Acad Radiol. 2024 Apr;31(4):1508-1517. doi: 10.1016/j.acra.2023.10.003. Epub 2023 Nov 1. Acad Radiol. 2024. PMID: 37923575

As compared, the clinical and biomarker models have AUC < 0.74. The DeLong test showed that the predictive performance of the radiomics models in the training and validation cohorts was significantly better than that of the clinical and biomarker models (P < 0.001).

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As compared, the clinical and biomarker models have AUC < 0.74. The DeLong test showed that the predictive performance of the radi

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Development and Validation of Contrast-Enhanced CT-Based Deep Transfer Learning and Combined Clinical-Radiomics Model to Discriminate Thymomas and Thymic Cysts: A Multicenter Study.
Yang Y, Cheng J, Peng Z, Yi L, Lin Z, He A, Jin M, Cui C, Liu Y, Zhong Q, Zuo M. Yang Y, et al. Acad Radiol. 2024 Apr;31(4):1615-1628. doi: 10.1016/j.acra.2023.10.018. Epub 2023 Nov 10. Acad Radiol. 2024. PMID: 37949702
Receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA) were used to evaluate the discrimination, calibration, and clinical utility of the models, respectively. The Delong test was used to compare the AUC between different models …
Receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA) were used to evaluate the discrimination …
Multiparametric MRI-based machine learning models for preoperatively predicting rectal adenoma with canceration.
Li P, Song G, Wu R, Li H, Zhang R, Zuo P, Li A. Li P, et al. MAGMA. 2021 Oct;34(5):707-716. doi: 10.1007/s10334-021-00915-2. Epub 2021 Mar 1. MAGMA. 2021. PMID: 33646452
The diagnostic performance of the models was evaluated by sensitivity, specificity and area under the curve (AUC) and compared with the Delong's test. RESULTS: Ten, 8, and 25 optimal features were selected from 1396 HR-T2WI, 1396 DWI and 2792 combined features, resp …
The diagnostic performance of the models was evaluated by sensitivity, specificity and area under the curve (AUC) and compared with the D …
Association Between the Cardiometabolic Index and Hyperuricemia in an Asymptomatic Population with Normal Body Mass Index.
Zuo YQ, Gao ZH, Yin YL, Yang X, Feng PY. Zuo YQ, et al. Int J Gen Med. 2021 Nov 23;14:8603-8610. doi: 10.2147/IJGM.S340595. eCollection 2021. Int J Gen Med. 2021. PMID: 34849005 Free PMC article.
Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate the power of the indices to predict hyperuricemia values. The DeLong test was used to compare the AUC of different anthropometric indices. ...
Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to evaluate the power of the indices to predict hype …
Development and Validation of a Comprehensive Model for Predicting Distant Metastasis of Solid Lung Adenocarcinoma: 3D Radiomics, 2D Radiomics and Clinical Features.
Peng Z, Lin Z, He A, Yi L, Jin M, Chen Z, Tao Y, Yang Y, Cui C, Liu Y, Zuo M. Peng Z, et al. Cancer Manag Res. 2022 Dec 13;14:3437-3448. doi: 10.2147/CMAR.S393058. eCollection 2022. Cancer Manag Res. 2022. PMID: 36536823 Free PMC article.
RESULTS: The AUC (area under the curve) of model 1, model 2, model 3, model 4, and model 5 in the test set was 0.711, 0.769, 0.775, 0.829, and 0.892, respectively. The Delong test showed that AUC values were statistically different between model 5 and model 1 (p=0.001), an …
RESULTS: The AUC (area under the curve) of model 1, model 2, model 3, model 4, and model 5 in the test set was 0.711, 0.769, 0.775, 0.829, a …
Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
Chen Z, Yi L, Peng Z, Zhou J, Zhang Z, Tao Y, Lin Z, He A, Jin M, Zuo M. Chen Z, et al. Front Oncol. 2022 Nov 23;12:949111. doi: 10.3389/fonc.2022.949111. eCollection 2022. Front Oncol. 2022. PMID: 36505773 Free PMC article.
The prediction performance between models was evaluated and compared using the receiver operating characteristic (ROC) curve, DeLong test, and Akaike information criterion (AIC). A nomogram was developed based on the model with the best predictive performance to evaluate i …
The prediction performance between models was evaluated and compared using the receiver operating characteristic (ROC) curve, DeLong …
Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.
Su Y, Xu X, Zuo P, Xia Y, Qu X, Chen Q, Guo J, Wei W, Xian J. Su Y, et al. Eur J Radiol. 2020 Oct;131:109268. doi: 10.1016/j.ejrad.2020.109268. Epub 2020 Sep 8. Eur J Radiol. 2020. PMID: 32947090
The performance of classifiers was evaluated by ROC analysis, and was compared to the performance of visual assessment by DeLong test. RESULTS: The optimal radiomics feature set was 10, 15, 15, and 24 for T1W, T2W, CET1W, and joint T2W and CET1W images, respectively. ...
The performance of classifiers was evaluated by ROC analysis, and was compared to the performance of visual assessment by DeLong test …
Prediction of the benign and malignant nature of masses in COPD background based on Habitat-based enhanced CT radiomics modeling: A preliminary study.
Zuo W, Li J, Zuo M, Li M, Zhou S, Cai X. Zuo W, et al. Technol Health Care. 2024 Feb 29. doi: 10.3233/THC-231980. Online ahead of print. Technol Health Care. 2024. PMID: 38517821
In the training set, multiple models were established using clinical data and radiomics texture changes within different enhanced areas of the CT mass (HECT radiomics). The AUC values of each model were compared using Delong's test, and the clinical net benefit of t …
In the training set, multiple models were established using clinical data and radiomics texture changes within different enhanced areas of t …
11 results