249 related articles for article (PubMed ID: 26798066)
1. Comparison between borderline ovarian tumors and carcinomas using semi-automated histogram analysis of diffusion-weighted imaging: focusing on solid components.
Mimura R; Kato F; Tha KK; Kudo K; Konno Y; Oyama-Manabe N; Kato T; Watari H; Sakuragi N; Shirato H
Jpn J Radiol; 2016 Mar; 34(3):229-37. PubMed ID: 26798066
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Characterization of testicular germ cell tumors: Whole-lesion histogram analysis of the apparent diffusion coefficient at 3T.
Min X; Feng Z; Wang L; Cai J; Yan X; Li B; Ke Z; Zhang P; You H
Eur J Radiol; 2018 Jan; 98():25-31. PubMed ID: 29279166
[TBL] [Abstract][Full Text] [Related]
4. Non-small cell lung cancer: Whole-lesion histogram analysis of the apparent diffusion coefficient for assessment of tumor grade, lymphovascular invasion and pleural invasion.
Tsuchiya N; Doai M; Usuda K; Uramoto H; Tonami H
PLoS One; 2017; 12(2):e0172433. PubMed ID: 28207858
[TBL] [Abstract][Full Text] [Related]
5. Whole solid tumour volume histogram analysis of the apparent diffusion coefficient for differentiating high-grade from low-grade serous ovarian carcinoma: correlation with Ki-67 proliferation status.
Li HM; Zhang R; Gu WY; Zhao SH; Lu N; Zhang GF; Peng WJ; Qiang JW
Clin Radiol; 2019 Dec; 74(12):918-925. PubMed ID: 31471063
[TBL] [Abstract][Full Text] [Related]
6. Characterization of breast masses as benign or malignant at 3.0T MRI with whole-lesion histogram analysis of the apparent diffusion coefficient.
Suo S; Zhang K; Cao M; Suo X; Hua J; Geng X; Chen J; Zhuang Z; Ji X; Lu Q; Wang H; Xu J
J Magn Reson Imaging; 2016 Apr; 43(4):894-902. PubMed ID: 26343918
[TBL] [Abstract][Full Text] [Related]
7. Preoperative histogram analysis of intravoxel incoherent motion (IVIM) for predicting microvascular invasion in patients with single hepatocellular carcinoma.
Li H; Zhang J; Zheng Z; Guo Y; Chen M; Xie C; Zhang Z; Mei Y; Feng Y; Xu Y
Eur J Radiol; 2018 Aug; 105():65-71. PubMed ID: 30017300
[TBL] [Abstract][Full Text] [Related]
8. Diffusion-weighted imaging: Apparent diffusion coefficient histogram analysis for detecting pathologic complete response to chemoradiotherapy in locally advanced rectal cancer.
Choi MH; Oh SN; Rha SE; Choi JI; Lee SH; Jang HS; Kim JG; Grimm R; Son Y
J Magn Reson Imaging; 2016 Jul; 44(1):212-20. PubMed ID: 26666560
[TBL] [Abstract][Full Text] [Related]
9. Whole-Tumor Quantitative Apparent Diffusion Coefficient Histogram and Texture Analysis to Differentiation of Minimal Fat Angiomyolipoma from Clear Cell Renal Cell Carcinoma.
Li H; Li A; Zhu H; Hu Y; Li J; Xia L; Hu D; Kamel IR; Li Z
Acad Radiol; 2019 May; 26(5):632-639. PubMed ID: 30087067
[TBL] [Abstract][Full Text] [Related]
10. Utility of histogram analysis of apparent diffusion coefficient maps obtained using 3.0T MRI for distinguishing uterine carcinosarcoma from endometrial carcinoma.
Takahashi M; Kozawa E; Tanisaka M; Hasegawa K; Yasuda M; Sakai F
J Magn Reson Imaging; 2016 Jun; 43(6):1301-7. PubMed ID: 26605502
[TBL] [Abstract][Full Text] [Related]
11. Gliomas: Histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging--correlation with tumor grade.
Kang Y; Choi SH; Kim YJ; Kim KG; Sohn CH; Kim JH; Yun TJ; Chang KH
Radiology; 2011 Dec; 261(3):882-90. PubMed ID: 21969667
[TBL] [Abstract][Full Text] [Related]
12. The histogram analysis of apparent diffusion coefficient in differential diagnosis of parotid tumor.
Chen P; Dong B; Zhang C; Tao X; Wang P; Zhu L
Dentomaxillofac Radiol; 2020 Jul; 49(5):20190420. PubMed ID: 32134344
[TBL] [Abstract][Full Text] [Related]
13. Whole-lesion histogram analysis metrics of the apparent diffusion coefficient as a marker of breast lesions characterization at 1.5 T.
Bougias H; Ghiatas A; Priovolos D; Veliou K; Christou A
Radiography (Lond); 2017 May; 23(2):e41-e46. PubMed ID: 28390558
[TBL] [Abstract][Full Text] [Related]
14. Histogram analysis of diffusion kurtosis imaging in the differentiation of malignant from benign breast lesions.
Liu W; Wei C; Bai J; Gao X; Zhou L
Eur J Radiol; 2019 Aug; 117():156-163. PubMed ID: 31307642
[TBL] [Abstract][Full Text] [Related]
15. Apparent diffusion coefficient-based histogram analysis differentiates histological subtypes of periampullary adenocarcinoma.
Lu JY; Yu H; Zou XL; Li Z; Hu XM; Shen YQ; Hu DY
World J Gastroenterol; 2019 Oct; 25(40):6116-6128. PubMed ID: 31686767
[TBL] [Abstract][Full Text] [Related]
16. Locally advanced rectal cancer: post-chemoradiotherapy ADC histogram analysis for predicting a complete response.
Cho SH; Kim GC; Jang YJ; Ryeom H; Kim HJ; Shin KM; Park JS; Choi GS; Kim SH
Acta Radiol; 2015 Sep; 56(9):1042-50. PubMed ID: 25270374
[TBL] [Abstract][Full Text] [Related]
17. A histogram analysis of diffusion and perfusion features of cervical cancer based on intravoxel incoherent motion magnetic resonance imaging.
Thapa D; Wang P; Wu G; Wang X; Sun Q
Magn Reson Imaging; 2019 Jan; 55():103-111. PubMed ID: 29953932
[TBL] [Abstract][Full Text] [Related]
18. Differentiation of prostate cancer and stromal hyperplasia in the transition zone with histogram analysis of the apparent diffusion coefficient.
Xiaohang L; Bingni Z; Liangping Z; Weijun P; Xiaoqun Y; Yong Z
Acta Radiol; 2017 Dec; 58(12):1528-1534. PubMed ID: 28286980
[TBL] [Abstract][Full Text] [Related]
19. Differentiation of Cerebellar Hemisphere Tumors: Combining Apparent Diffusion Coefficient Histogram Analysis and Structural MRI Features.
Payabvash S; Tihan T; Cha S
J Neuroimaging; 2018 Nov; 28(6):656-665. PubMed ID: 30066449
[TBL] [Abstract][Full Text] [Related]
20. Orbital Indeterminate Lesions in Adults: Combined Magnetic Resonance Morphometry and Histogram Analysis of Apparent Diffusion Coefficient Maps for Predicting Malignancy.
Xu XQ; Hu H; Su GY; Zhang L; Liu H; Hong XN; Shi HB; Wu FY
Acad Radiol; 2016 Feb; 23(2):200-8. PubMed ID: 26625705
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
