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323 related items for PubMed ID: 31439233
21. T2* relaxation time in the detection and assessment of aggressiveness of peripheral zone cancer in comparison with diffusion-weighted imaging. Wu LM, Zhou B, Lu Q, Suo ST, Liu Q, Hu J, Haccke EM, Chen XX, Xu JR. Clin Radiol; 2016 Apr; 71(4):356-62. PubMed ID: 26823021 [Abstract] [Full Text] [Related]
22. Performance of Diffusion Kurtosis Imaging Versus Diffusion Tensor Imaging in Discriminating Between Benign Tissue, Low and High Gleason Grade Prostate Cancer. Di Trani MG, Nezzo M, Caporale AS, De Feo R, Miano R, Mauriello A, Bove P, Manenti G, Capuani S. Acad Radiol; 2019 Oct; 26(10):1328-1337. PubMed ID: 30545680 [Abstract] [Full Text] [Related]
23. Quantified analysis of histological components and architectural patterns of gleason grades in apparent diffusion coefficient restricted areas upon diffusion weighted MRI for peripheral or transition zone cancer locations. Helfrich O, Puech P, Betrouni N, Pinçon C, Ouzzane A, Rizk J, Marcq G, Randazzo M, Durand M, Lakroum S, Leroy X, Villers A. J Magn Reson Imaging; 2017 Dec; 46(6):1786-1796. PubMed ID: 28383776 [Abstract] [Full Text] [Related]
24. Cellular density of low-grade transition zone prostate cancer: A limiting factor to correlate restricted diffusion with tumor aggressiveness. Barral M, Jemal-Turki A, Beuvon F, Soyer P, Camparo P, Cornud F. Eur J Radiol; 2020 Oct; 131():109230. PubMed ID: 32866908 [Abstract] [Full Text] [Related]
25. Development and validation of a logistic regression model to distinguish transition zone cancers from benign prostatic hyperplasia on multi-parametric prostate MRI. Iyama Y, Nakaura T, Katahira K, Iyama A, Nagayama Y, Oda S, Utsunomiya D, Yamashita Y. Eur Radiol; 2017 Sep; 27(9):3600-3608. PubMed ID: 28289941 [Abstract] [Full Text] [Related]
26. Apparent Diffusion Coefficient Values of the Benign Central Zone of the Prostate: Comparison With Low- and High-Grade Prostate Cancer. Gupta RT, Kauffman CR, Garcia-Reyes K, Palmeri ML, Madden JF, Polascik TJ, Rosenkrantz AB. AJR Am J Roentgenol; 2015 Aug; 205(2):331-6. PubMed ID: 26204283 [Abstract] [Full Text] [Related]
27. The performance of intravoxel-incoherent motion diffusion-weighted imaging derived hypoxia for the risk stratification of prostate cancer in peripheral zone. Chen Z, Xue Y, Zhang Z, Li W, Wen M, Zhao Y, Li J, Weng Z, Ye Q. Eur J Radiol; 2020 Apr; 125():108865. PubMed ID: 32058895 [Abstract] [Full Text] [Related]
28. Diagnostic performance of multiparametric MRI parameters for Gleason score and cellularity metrics of prostate cancer in different zones: a quantitative comparison. Gao J, Zhang Q, Zhang C, Chen M, Li D, Fu Y, Lv X, Zhang B, Guo H. Clin Radiol; 2019 Nov; 74(11):895.e17-895.e26. PubMed ID: 31337490 [Abstract] [Full Text] [Related]
29. The Utility of Diffusion-Weighted Imaging and Perfusion Magnetic Resonance Imaging Parameters for Detecting Clinically Significant Prostate Cancer. Cindil E, Oner Y, Sendur HN, Ozdemir H, Gazel E, Tunc L, Cerit MN. Can Assoc Radiol J; 2019 Nov; 70(4):441-451. PubMed ID: 31561925 [Abstract] [Full Text] [Related]
30. Diffusion kurtosis imaging does not improve differentiation performance of breast lesions in a short clinical protocol. Palm T, Wenkel E, Ohlmeyer S, Janka R, Uder M, Weiland E, Bickelhaupt S, Ladd ME, Zaitsev M, Hensel B, Laun FB. Magn Reson Imaging; 2019 Nov; 63():205-216. PubMed ID: 31425816 [Abstract] [Full Text] [Related]
31. Multiparametric Magnetic Resonance Imaging for Discriminating Low-Grade From High-Grade Prostate Cancer. Vos EK, Kobus T, Litjens GJ, Hambrock T, Hulsbergen-van de Kaa CA, Barentsz JO, Maas MC, Scheenen TW. Invest Radiol; 2015 Aug; 50(8):490-7. PubMed ID: 25867656 [Abstract] [Full Text] [Related]
32. Diffusion-weighted imaging of prostate cancer using a statistical model based on the gamma distribution. Shinmoto H, Oshio K, Tamura C, Soga S, Okamura T, Yamada K, Kaji T, Mulkern RV. J Magn Reson Imaging; 2015 Jul; 42(1):56-62. PubMed ID: 25223894 [Abstract] [Full Text] [Related]
35. Multiparametric MRI in detection and staging of prostate cancer. Boesen L. Dan Med J; 2017 Feb; 64(2):. PubMed ID: 28157066 [Abstract] [Full Text] [Related]
36. Diffusion-weighted imaging of the prostate at 3 T for differentiation of malignant and benign tissue in transition and peripheral zones: preliminary results. Kim CK, Park BK, Han JJ, Kang TW, Lee HM. J Comput Assist Tomogr; 2007 Feb; 31(3):449-54. PubMed ID: 17538295 [Abstract] [Full Text] [Related]
37. Diffusion-tensor MRI at 3 T: differentiation of central gland prostate cancer from benign prostatic hyperplasia. Park SY, Kim CK, Park BK, Ha SY, Kwon GY, Kim B. AJR Am J Roentgenol; 2014 Mar; 202(3):W254-62. PubMed ID: 24555622 [Abstract] [Full Text] [Related]
40. 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] Page: [Previous] [Next] [New Search]