Zhang H - Search Results

1

Clinical prediction of microvascular invasion in hepatocellular carcinoma using an MRI-based graph convolutional network model integrated with nomogram.

Liu Y, Zhang Z, Zhang H, Wang X, Wang K, Yang R, Han P, Luan K, Zhou Y. Liu Y, et al. Among authors: zhang z, zhang h. Br J Radiol. 2024 May 7;97(1157):938-946. doi: 10.1093/bjr/tqae056. Br J Radiol. 2024. PMID: 38552308

2

Determination of Hepatocellular Carcinoma and Characterization of Hepatic Focal Lesions with Adaptive Multi-Exponential Intravoxel Incoherent Motion Model.

Zhang HX, Zhang XS, Kuai ZX, Zhou Y, Sun YF, Ba ZC, He KB, Sang XQ, Yao YF, Chu CY, Zhu YM. Zhang HX, et al. Transl Oncol. 2018 Dec;11(6):1370-1378. doi: 10.1016/j.tranon.2018.08.011. Epub 2018 Sep 11. Transl Oncol. 2018. PMID: 30216762 Free PMC article.

3

Non-mono-exponential diffusion models for assessing early response of liver metastases to chemotherapy in colorectal Cancer.

Zhou Y, Zhang HX, Zhang XS, Sun YF, He KB, Sang XQ, Zhu YM, Kuai ZX. Zhou Y, et al. Cancer Imaging. 2019 Jun 19;19(1):39. doi: 10.1186/s40644-019-0228-2. Cancer Imaging. 2019. PMID: 31217036 Free PMC article.

4

Histogram peritumoral enhanced features on MRI arterial phase with extracellular contrast agent can improve prediction of microvascular invasion of hepatocellular carcinoma.

Wang X, Sun Y, Zhou X, Shen Z, Zhang H, Xing J, Zhou Y. Wang X, et al. Among authors: zhang h. Quant Imaging Med Surg. 2022 Feb;12(2):1372-1384. doi: 10.21037/qims-21-499. Quant Imaging Med Surg. 2022. PMID: 35111631 Free PMC article.

5

Two untargeted metabolomics reveals yogurt-associated metabolic alterations in women with multiple metabolic disorders from a randomized controlled study.

Du S, Chen Y, Liu X, Zhang Z, Jiang Y, Zhou Y, Zhang H, Li Q, XuemeiWang, Wang Y, Feng R. Du S, et al. Among authors: zhang z, zhang h. J Proteomics. 2022 Feb 10;252:104394. doi: 10.1016/j.jprot.2021.104394. Epub 2021 Oct 16. J Proteomics. 2022. PMID: 34666202 Clinical Trial.

6

Application of random survival forest to establish a nomogram combining clinlabomics-score and clinical data for predicting brain metastasis in primary lung cancer.

Shi Z, Chen Y, Liu A, Zeng J, Xie W, Lin X, Cheng Y, Xu H, Zhou J, Gao S, Feng C, Zhang H, Sun Y. Shi Z, et al. Among authors: zhang h. Clin Transl Oncol. 2024 Sep 3. doi: 10.1007/s12094-024-03688-x. Online ahead of print. Clin Transl Oncol. 2024. PMID: 39225959

7

MRI-based vector radiomics for predicting breast cancer HER2 status and its changes after neoadjuvant therapy.

Zhang L, Cui QX, Zhou LQ, Wang XY, Zhang HX, Zhu YM, Sang XQ, Kuai ZX. Zhang L, et al. Comput Med Imaging Graph. 2024 Dec;118:102443. doi: 10.1016/j.compmedimag.2024.102443. Epub 2024 Oct 17. Comput Med Imaging Graph. 2024. PMID: 39427545

8

Comparison of Dynamic Contrast-Enhanced MRI and Non-Mono-Exponential Model-Based Diffusion-Weighted Imaging for the Prediction of Prognostic Biomarkers and Molecular Subtypes of Breast Cancer Based on Radiomics.

Zhang L, Zhou XX, Liu L, Liu AY, Zhao WJ, Zhang HX, Zhu YM, Kuai ZX. Zhang L, et al. J Magn Reson Imaging. 2023 Nov;58(5):1590-1602. doi: 10.1002/jmri.28611. Epub 2023 Jan 20. J Magn Reson Imaging. 2023. PMID: 36661350

9

Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging.

Han X, Yang H, Jin S, Sun Y, Zhang H, Shan M, Cheng W. Han X, et al. Among authors: zhang h. Cancer Med. 2023 Jan;12(2):1389-1398. doi: 10.1002/cam4.5019. Epub 2022 Jul 13. Cancer Med. 2023. PMID: 35822639 Free PMC article.

10

Combination of DCE-MRI and NME-DWI via Deep Neural Network for Predicting Breast Cancer Molecular Subtypes.

Ba ZC, Zhang HX, Liu AY, Zhou XX, Liu L, Wang XY, Nanding A, Sang XQ, Kuai ZX. Ba ZC, et al. Clin Breast Cancer. 2024 Jul;24(5):e417-e427. doi: 10.1016/j.clbc.2024.03.006. Epub 2024 Mar 13. Clin Breast Cancer. 2024. PMID: 38555225

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