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196 related items for PubMed ID: 33388809
1. Comparison of mono-exponential, bi-exponential, kurtosis, and fractional-order calculus models of diffusion-weighted imaging in characterizing prostate lesions in transition zone. Liu G, Lu Y, Dai Y, Xue K, Yi Y, Xu J, Wu D, Wu G. Abdom Radiol (NY); 2021 Jun; 46(6):2740-2750. PubMed ID: 33388809 [Abstract] [Full Text] [Related]
2. Predicting the aggressiveness of peripheral zone prostate cancer using a fractional order calculus diffusion model. Li Z, Dan G, Tammana V, Johnson S, Zhong Z, Rabiee B, Zhou XJ, L Xie K. Eur J Radiol; 2021 Oct; 143():109913. PubMed ID: 34464907 [Abstract] [Full Text] [Related]
3. Diagnostic evaluation of diffusion kurtosis imaging for prostate cancer: Detection in a biopsy population. Ding K, Yao Y, Gao Y, Lu X, Chen H, Tang Q, Hua C, Zhou M, Zou X, Yin Q. Eur J Radiol; 2019 Sep; 118():138-146. PubMed ID: 31439233 [Abstract] [Full Text] [Related]
4. Transition zone prostate cancer: Logistic regression and machine-learning models of quantitative ADC, shape and texture features are highly accurate for diagnosis. Wu M, Krishna S, Thornhill RE, Flood TA, McInnes MDF, Schieda N. J Magn Reson Imaging; 2019 Sep; 50(3):940-950. PubMed ID: 30701625 [Abstract] [Full Text] [Related]
5. Prostate cancer aggressive prediction: preponderant diagnostic performances of intravoxel incoherent motion (IVIM) imaging and diffusion kurtosis imaging (DKI) beyond ADC at 3.0 T scanner with gleason score at final pathology. Shan Y, Chen X, Liu K, Zeng M, Zhou J. Abdom Radiol (NY); 2019 Oct; 44(10):3441-3452. PubMed ID: 31144091 [Abstract] [Full Text] [Related]
6. [Discussion of correlation between histogram analysis of quantitative diffusion weighted imaging and Gleason score of prostate cancer]. Wen R, Zhao WL, Wei CG, Gu YF, Li MJ, Zhang YY, Shen JK. Zhonghua Yi Xue Za Zhi; 2019 Mar 19; 99(11):823-828. PubMed ID: 30893724 [Abstract] [Full Text] [Related]
7. Sub-differentiation of PI-RADS 3 lesions in TZ by advanced diffusion-weighted imaging to aid the biopsy decision process. Zhou KP, Huang HB, Bu C, Luo ZX, Huang WS, Xie LZ, Liu QY, Bian J. Front Oncol; 2023 Mar 19; 13():1092073. PubMed ID: 36845749 [Abstract] [Full Text] [Related]
8. Comparison of diagnostic performance between diffusion kurtosis imaging parameters and mono-exponential ADC for determination of clinically significant cancer in patients with prostate cancer. Park H, Kim SH, Lee Y, Son JH. Abdom Radiol (NY); 2020 Dec 19; 45(12):4235-4243. PubMed ID: 32965517 [Abstract] [Full Text] [Related]
9. Evaluation of Diffusion Kurtosis Imaging Versus Standard Diffusion Imaging for Detection and Grading of Peripheral Zone Prostate Cancer. Roethke MC, Kuder TA, Kuru TH, Fenchel M, Hadaschik BA, Laun FB, Schlemmer HP, Stieltjes B. Invest Radiol; 2015 Aug 19; 50(8):483-9. PubMed ID: 25867657 [Abstract] [Full Text] [Related]
14. Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging. Bai Y, Lin Y, Tian J, Shi D, Cheng J, Haacke EM, Hong X, Ma B, Zhou J, Wang M. Radiology; 2016 Feb 19; 278(2):496-504. PubMed ID: 26230975 [Abstract] [Full Text] [Related]
15. Differentiation of prostate cancer and benign prostatic hyperplasia: comparisons of the histogram analysis of intravoxel incoherent motion and monoexponential model with in-bore MR-guided biopsy as pathological reference. Cui Y, Li C, Liu Y, Jiang Y, Yu L, Liu M, Zhang W, Shi K, Zhang C, Zhang J, Chen M. Abdom Radiol (NY); 2020 Oct 19; 45(10):3265-3277. PubMed ID: 31549212 [Abstract] [Full Text] [Related]
16. Comparison of Monoexponential, Biexponential, Stretched-Exponential, and Kurtosis Models of Diffusion-Weighted Imaging in Differentiation of Renal Solid Masses. Zhang J, Suo S, Liu G, Zhang S, Zhao Z, Xu J, Wu G. Korean J Radiol; 2019 May 19; 20(5):791-800. PubMed ID: 30993930 [Abstract] [Full Text] [Related]
17. [Stretched-exponential and mono-exponential diffusion-weighted imaging for assessing the aggressiveness of prostate cancer: A histogram analysis]. Yu YN, Zhang SJ. Zhonghua Nan Ke Xue; 2019 Dec 19; 25(12):1106-1112. PubMed ID: 32251563 [Abstract] [Full Text] [Related]
18. Amide Proton Transfer Could Provide More Accurate Lesion Characterization in the Transition Zone of the Prostate. Guo Z, Qin X, Mu R, Lv J, Meng Z, Zheng W, Zhuang Z, Zhu X. J Magn Reson Imaging; 2022 Nov 19; 56(5):1311-1319. PubMed ID: 35429190 [Abstract] [Full Text] [Related]
20. Differentiating Cytokeratin 19 expression of hepatocellular carcinoma by using multi-b-value diffusion-weighted MR imaging with mono-exponential, stretched exponential, intravoxel incoherent motion, diffusion kurtosis imaging and fractional order calculus models. Guo Y, Chen J, Zhang Y, Guo Y, Jiang M, Dai Y, Yao X. Eur J Radiol; 2022 May 19; 150():110237. PubMed ID: 35278979 [Abstract] [Full Text] [Related] Page: [Next] [New Search]