212 related articles for article (PubMed ID: 26829400)
1. Utility of histogram analysis of ADC maps for differentiating orbital tumors.
Xu XQ; Hu H; Su GY; Liu H; Hong XN; Shi HB; Wu FY
Diagn Interv Radiol; 2016; 22(2):161-7. PubMed ID: 26829400
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Differentiation of orbital lymphoma and idiopathic orbital inflammatory pseudotumor: combined diagnostic value of conventional MRI and histogram analysis of ADC maps.
Ren J; Yuan Y; Wu Y; Tao X
BMC Med Imaging; 2018 May; 18(1):6. PubMed ID: 29716527
[TBL] [Abstract][Full Text] [Related]
4. Radiological indeterminate vestibular schwannoma and meningioma in cerebellopontine angle area: differentiating using whole-tumor histogram analysis of apparent diffusion coefficient.
Xu XQ; Li Y; Hong XN; Wu FY; Shi HB
Int J Neurosci; 2017 Feb; 127(2):183-190. PubMed ID: 26961388
[TBL] [Abstract][Full Text] [Related]
5. Histogram analysis of apparent diffusion coefficient maps for the differentiation between lymphoma and metastatic lymph nodes of squamous cell carcinoma in head and neck region.
Wang YJ; Xu XQ; Hu H; Su GY; Shen J; Shi HB; Wu FY
Acta Radiol; 2018 Jun; 59(6):672-680. PubMed ID: 28870086
[TBL] [Abstract][Full Text] [Related]
6. Histogram analysis of apparent diffusion coefficient maps for differentiating malignant from benign parotid gland tumors.
Ma G; Zhu LN; Su GY; Hu H; Qian W; Bu SS; Xu XQ; Wu FY
Eur Arch Otorhinolaryngol; 2018 Aug; 275(8):2151-2157. PubMed ID: 29961924
[TBL] [Abstract][Full Text] [Related]
7. Whole-tumor histogram analysis of apparent diffusion coefficient in differentiating intracranial solitary fibrous tumor/hemangiopericytoma from angiomatous meningioma.
He W; Xiao X; Li X; Guo Y; Guo L; Liu X; Xu Y; Zhou J; Wu Y
Eur J Radiol; 2019 Mar; 112():186-191. PubMed ID: 30777209
[TBL] [Abstract][Full Text] [Related]
8. A Whole-Tumor Histogram Analysis of Apparent Diffusion Coefficient Maps for Differentiating Thymic Carcinoma from Lymphoma.
Zhang W; Zhou Y; Xu XQ; Kong LY; Xu H; Yu TF; Shi HB; Feng Q
Korean J Radiol; 2018; 19(2):358-365. PubMed ID: 29520195
[TBL] [Abstract][Full Text] [Related]
9. Histogram analysis of apparent diffusion coefficient maps in the prognosis of patients with locally advanced head and neck squamous cell carcinoma: Comparison of different region of interest selection methods.
Ren JL; Yuan Y; Li XX; Shi YQ; Tao XF
Eur J Radiol; 2018 Sep; 106():7-13. PubMed ID: 30150054
[TBL] [Abstract][Full Text] [Related]
10. Histogram Analysis of ADC Maps for Differentiating Brain Metastases From Different Histological Types of Lung Cancers.
Bozdağ M; Er A; Çinkooğlu A
Can Assoc Radiol J; 2021 May; 72(2):271-278. PubMed ID: 32602365
[TBL] [Abstract][Full Text] [Related]
11. Histogram analysis of apparent diffusion coefficient maps for assessing thymic epithelial tumours: correlation with world health organization classification and clinical staging.
Kong LY; Zhang W; Zhou Y; Xu H; Shi HB; Feng Q; Xu XQ; Yu TF
Br J Radiol; 2018 Apr; 91(1084):20170580. PubMed ID: 29260882
[TBL] [Abstract][Full Text] [Related]
12. Differentiation between malignant and benign breast masses: combination of semi-quantitative analysis on DCE-MRI and histogram analysis of ADC maps.
Liu HL; Zong M; Wei H; Lou JJ; Wang SQ; Zou QG; Shi HB; Jiang YN
Clin Radiol; 2018 May; 73(5):460-466. PubMed ID: 29295753
[TBL] [Abstract][Full Text] [Related]
13. Diffusion Weighted Imaging for Differentiating Benign from Malignant Orbital Tumors: Diagnostic Performance of the Apparent Diffusion Coefficient Based on Region of Interest Selection Method.
Xu XQ; Hu H; Su GY; Liu H; Shi HB; Wu FY
Korean J Radiol; 2016; 17(5):650-6. PubMed ID: 27587953
[TBL] [Abstract][Full Text] [Related]
14. Differentiation of brain metastases originating from lung and breast cancers using apparent diffusion coefficient histogram analysis and the relation of histogram parameters with Ki-67.
Bozdağ M; Er A; Ekmekçi S
Neuroradiol J; 2022 Jun; 35(3):370-377. PubMed ID: 34609916
[TBL] [Abstract][Full Text] [Related]
15. Histogram analysis of apparent diffusion coefficient at 3.0 T in urinary bladder lesions: correlation with pathologic findings.
Suo ST; Chen XX; Fan Y; Wu LM; Yao QY; Cao MQ; Liu Q; Xu JR
Acad Radiol; 2014 Aug; 21(8):1027-34. PubMed ID: 24833566
[TBL] [Abstract][Full Text] [Related]
16. Histogram analysis of apparent diffusion coefficient map of diffusion-weighted MRI in endometrial cancer: a preliminary correlation study with histological grade.
Woo S; Cho JY; Kim SY; Kim SH
Acta Radiol; 2014 Dec; 55(10):1270-7. PubMed ID: 24316663
[TBL] [Abstract][Full Text] [Related]
17. Histogram analysis of apparent diffusion coefficient maps for differentiating primary CNS lymphomas from tumefactive demyelinating lesions.
Lu SS; Kim SJ; Kim N; Kim HS; Choi CG; Lim YM
AJR Am J Roentgenol; 2015 Apr; 204(4):827-34. PubMed ID: 25794073
[TBL] [Abstract][Full Text] [Related]
18. [Apparent Diffusion Coefficient Histogram Analysis:Differentiation of Genetic Subtypes of Diffuse Lower-grade Gliomas].
Liu D; Xu JM; Liao HF; Wen M
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2020 Aug; 42(4):444-451. PubMed ID: 32895095
[No Abstract] [Full Text] [Related]
19. Pancreatic neuroendocrine tumors: correlation between histogram analysis of apparent diffusion coefficient maps and tumor grade.
Pereira JA; Rosado E; Bali M; Metens T; Chao SL
Abdom Imaging; 2015 Oct; 40(8):3122-8. PubMed ID: 26280127
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]