129 related articles for article (PubMed ID: 31439257)
21. Diffusion-weighted magnetic resonance imaging of ovarian tumors: differentiation of benign and malignant solid components of ovarian masses.
Takeuchi M; Matsuzaki K; Nishitani H
J Comput Assist Tomogr; 2010; 34(2):173-6. PubMed ID: 20351498
[TBL] [Abstract][Full Text] [Related]
22. Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology.
Boesen L; Chabanova E; Løgager V; Balslev I; Thomsen HS
J Magn Reson Imaging; 2015 Aug; 42(2):446-53. PubMed ID: 25408104
[TBL] [Abstract][Full Text] [Related]
23. Improved performance in differentiating benign from malignant sinonasal tumors using diffusion-weighted combined with dynamic contrast-enhanced magnetic resonance imaging.
Wang XY; Yan F; Hao H; Wu JX; Chen QH; Xian JF
Chin Med J (Engl); 2015 Mar; 128(5):586-92. PubMed ID: 25698188
[TBL] [Abstract][Full Text] [Related]
24. Endometrioid adenocarcinoma of the ovary: MRI findings with emphasis on diffusion-weighted imaging for the differentiation of ovarian tumors.
Kovač JD; Terzić M; Mirković M; Banko B; Đikić-Rom A; Maksimović R
Acta Radiol; 2016 Jun; 57(6):758-66. PubMed ID: 26307063
[TBL] [Abstract][Full Text] [Related]
25. Value of diffusion-weighted imaging combined with conventional magnetic resonance imaging in the diagnosis of thecomas and their differential diagnosis with adult granulosa cell tumors.
Fang M; Dong J; Zhong Q; Fang X; Chen Y; Wang C; Yan H
Acta Radiol; 2019 Nov; 60(11):1532-1542. PubMed ID: 30776906
[No Abstract] [Full Text] [Related]
26. The value of MRI for differentiating benign from malignant sex cord-stromal tumors of the ovary: emphasis on diffusion-weighted MR imaging.
Zhao SH; Li HM; Qiang JW; Wang DB; Fan H
J Ovarian Res; 2018 Aug; 11(1):73. PubMed ID: 30165895
[TBL] [Abstract][Full Text] [Related]
27. Diffusion MRI of uterine and ovarian masses: identifying the benign lesions.
Davarpanah AH; Kambadakone A; Holalkere NS; Guimaraes AR; Hahn PF; Lee SI
Abdom Radiol (NY); 2016 Dec; 41(12):2466-2475. PubMed ID: 27660280
[TBL] [Abstract][Full Text] [Related]
28. ADC-derived spatial features can accurately classify adnexal lesions.
Fathi Kazerooni A; Nabil M; Haghighat Khah H; Alviri M; Heidari-Sooreshjaani M; Gity M; Malek M; Saligheh Rad H
J Magn Reson Imaging; 2018 Apr; 47(4):1061-1071. PubMed ID: 28901638
[TBL] [Abstract][Full Text] [Related]
29. Solid bone tumors of the spine: Diagnostic performance of apparent diffusion coefficient measured using diffusion-weighted MRI using histology as a reference standard.
Pozzi G; Albano D; Messina C; Angileri SA; Al-Mnayyis A; Galbusera F; Luzzati A; Perrucchini G; Scotto G; Parafioriti A; Zerbi A; Sconfienza LM
J Magn Reson Imaging; 2018 Apr; 47(4):1034-1042. PubMed ID: 28755383
[TBL] [Abstract][Full Text] [Related]
30. Diffusion-Weighted Magnetic Resonance Imaging (DWI) Parameters in Benign and Malignant Ovarian Tumors with Solid and Cystic Components.
Zhuang Y; Wang T; Zhang G
J Coll Physicians Surg Pak; 2019 Feb; 29(2):105-108. PubMed ID: 30700345
[TBL] [Abstract][Full Text] [Related]
31. The Value of Diffusion-Weighted Imaging in the Differential Diagnosis of Ovarian Lesions: A Meta-Analysis.
Kim HJ; Lee SY; Shin YR; Park CS; Kim K
PLoS One; 2016; 11(2):e0149465. PubMed ID: 26907919
[TBL] [Abstract][Full Text] [Related]
32. Diffusion-weighted MRI: a useful technique to discriminate benign versus malignant ovarian surface epithelial tumors with solid and cystic components.
Li W; Chu C; Cui Y; Zhang P; Zhu M
Abdom Imaging; 2012 Oct; 37(5):897-903. PubMed ID: 22038329
[TBL] [Abstract][Full Text] [Related]
33. Comparison between types I and II epithelial ovarian cancer using histogram analysis of monoexponential, biexponential, and stretched-exponential diffusion models.
Wang F; Wang Y; Zhou Y; Liu C; Xie L; Zhou Z; Liang D; Shen Y; Yao Z; Liu J
J Magn Reson Imaging; 2017 Dec; 46(6):1797-1809. PubMed ID: 28379611
[TBL] [Abstract][Full Text] [Related]
34. Quantitative evaluation of the relative apparent diffusion coefficient values on multiparametric magnetic resonance imaging to predict higher Gleason score prostate cancer.
Kato S; Kamijima S; Inaoka T; Kamiya N; Sasai D; Terada H; Hiruta N; Suzuki H
Scand J Urol; 2018 Jun; 52(3):180-185. PubMed ID: 29939084
[TBL] [Abstract][Full Text] [Related]
35. Diagnostic accuracy of diffusion-weighted imaging in differentiating benign from malignant ovarian lesions.
Fujii S; Kakite S; Nishihara K; Kanasaki Y; Harada T; Kigawa J; Kaminou T; Ogawa T
J Magn Reson Imaging; 2008 Nov; 28(5):1149-56. PubMed ID: 18972356
[TBL] [Abstract][Full Text] [Related]
36. Role of magnetic resonance imaging to differentiate between borderline and malignant serous epithelial ovarian tumors.
Akçay A; Peker AA; Oran Z; Toprak H; Toluk Ö; Balsak S; Badur BA; Gültekin MA
Abdom Radiol (NY); 2024 Jan; 49(1):229-236. PubMed ID: 37857912
[TBL] [Abstract][Full Text] [Related]
37. Diagnostic value of diffusion-weighted magnetic resonance imaging: differentiation of benign and malignant lymph nodes in different regions of the body.
Seber T; Caglar E; Uylar T; Karaman N; Aktas E; Aribas BK
Clin Imaging; 2015; 39(5):856-62. PubMed ID: 26091745
[TBL] [Abstract][Full Text] [Related]
38. [Value of the apparent diffusion coefficient in diffusion weighted imaging at 3.0T MR for differentiating lacrimal gland tumors].
Wang YZ; Xian JF; Yang BT; Guo J; Wang XY; Song LY
Zhonghua Yi Xue Za Zhi; 2019 Jan; 99(1):53-56. PubMed ID: 30641666
[No Abstract] [Full Text] [Related]
39. High-Resolution Diffusion-Weighted Imaging Improves the Diagnostic Accuracy of Dynamic Contrast-Enhanced Sinonasal Magnetic Resonance Imaging.
Wang F; Sha Y; Zhao M; Wan H; Zhang F; Cheng Y; Tang W
J Comput Assist Tomogr; 2017; 41(2):199-205. PubMed ID: 27560026
[TBL] [Abstract][Full Text] [Related]
40. Differentiation of Seromucinous Borderline Tumor from Serous Borderline Tumor on MR Imaging.
Kurata Y; Kido A; Moribata Y; Kameyama K; Minamiguchi S; Konishi I; Togashi K
Magn Reson Med Sci; 2018 Jul; 17(3):211-217. PubMed ID: 28993546
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]