Zhang Y - Search Results

1

Determination of grade and subtype of meningiomas by using histogram analysis of diffusion-tensor imaging metrics.

Wang S, Kim S, Zhang Y, Wang L, Lee EB, Syre P, Poptani H, Melhem ER, Lee JY. Wang S, et al. Among authors: zhang y. Radiology. 2012 Feb;262(2):584-92. doi: 10.1148/radiol.11110576. Epub 2011 Nov 14. Radiology. 2012. PMID: 22084207

2

Proton magnetic resonance spectroscopy in differentiating glioblastomas from primary cerebral lymphomas and brain metastases.

Chawla S, Zhang Y, Wang S, Chaudhary S, Chou C, O'Rourke DM, Vossough A, Melhem ER, Poptani H. Chawla S, et al. Among authors: zhang y. J Comput Assist Tomogr. 2010 Nov-Dec;34(6):836-41. doi: 10.1097/RCT.0b013e3181ec554e. J Comput Assist Tomogr. 2010. PMID: 21084897

3

Soft Tissue Sarcomas: Preoperative Predictive Histopathological Grading Based on Radiomics of MRI.

Zhang Y, Zhu Y, Shi X, Tao J, Cui J, Dai Y, Zheng M, Wang S. Zhang Y, et al. Acad Radiol. 2019 Sep;26(9):1262-1268. doi: 10.1016/j.acra.2018.09.025. Epub 2018 Oct 28. Acad Radiol. 2019. PMID: 30377057

4

DWI and IVIM are predictors of Ki67 proliferation index: direct comparison of MRI images and pathological slices in a murine model of rhabdomyosarcoma.

Yuan Y, Zeng D, Liu Y, Tao J, Zhang Y, Yang J, Lkhagvadorj T, Yin Z, Wang S. Yuan Y, et al. Among authors: zhang y. Eur Radiol. 2020 Mar;30(3):1334-1341. doi: 10.1007/s00330-019-06509-w. Epub 2019 Nov 8. Eur Radiol. 2020. PMID: 31705255

5

Feasibility of Predicting Pelvic Lymph Node Metastasis Based on IVIM-DWI and Texture Parameters of the Primary Lesion and Lymph Nodes in Patients with Cervical Cancer.

Zhang Y, Zhang KY, Jia HD, Fang X, Lin TT, Wei C, Qian LT, Dong JN. Zhang Y, et al. Among authors: zhang ky. Acad Radiol. 2022 Jul;29(7):1048-1057. doi: 10.1016/j.acra.2021.08.026. Epub 2021 Oct 13. Acad Radiol. 2022. PMID: 34654623 Clinical Trial.

6

Quantitative assessment of bone marrow infiltration and characterization of tumor burden using dual-layer spectral CT in patients with multiple myeloma.

Xiong X, Hong R, Fan X, Hao Z, Zhang X, Zhang Y, Hu C. Xiong X, et al. Among authors: zhang x, zhang y. Radiol Oncol. 2024 Jan 6;58(1):43-50. doi: 10.2478/raon-2024-0003. eCollection 2024 Mar 1. Radiol Oncol. 2024. PMID: 38183278 Free PMC article.

7

Deep Learning Radiomics Nomogram Based on Magnetic Resonance Imaging for Differentiating Type I/II Epithelial Ovarian Cancer.

Wei M, Feng G, Wang X, Jia J, Zhang Y, Dai Y, Qin C, Bai G, Chen S. Wei M, et al. Among authors: zhang y. Acad Radiol. 2024 Jun;31(6):2391-2401. doi: 10.1016/j.acra.2023.08.002. Epub 2023 Aug 27. Acad Radiol. 2024. PMID: 37643927

8

Apparent diffusion coefficient measurements of bone marrow infiltration patterns in multiple myeloma for the assessment of tumor burden - a feasibility study.

Xiong X, Ma Y, Dai Y, Hu C, Zhang Y. Xiong X, et al. Among authors: zhang y. Radiol Oncol. 2023 Nov 30;57(4):455-464. doi: 10.2478/raon-2023-0048. eCollection 2023 Dec 1. Radiol Oncol. 2023. PMID: 38038425 Free PMC article.

9

Assessing Synovitis and Bone Erosion With Apparent Diffusion Coefficient in Early Stage of Rheumatoid Arthritis.

Qu J, Lei X, Zhan Y, Li H, Zhang Y. Qu J, et al. Among authors: zhang y. J Comput Assist Tomogr. 2017 Sep/Oct;41(5):833-838. doi: 10.1097/RCT.0000000000000609. J Comput Assist Tomogr. 2017. PMID: 28448409

10

Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps.

Zhang Y, Zhu Y, Zhang K, Liu Y, Cui J, Tao J, Wang Y, Wang S. Zhang Y, et al. Among authors: zhang k. Radiol Med. 2020 Feb;125(2):109-116. doi: 10.1007/s11547-019-01100-1. Epub 2019 Nov 6. Radiol Med. 2020. PMID: 31696388

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