1
|
Lee AW, Lin JC and Ng WT: Current
management of nasopharyngeal cancer. Semin Radiat Oncol.
22:233–244. 2012. View Article : Google Scholar : PubMed/NCBI
|
2
|
Boscolo-Rizzo P, Tirelli G, Mantovani M,
Baggio V, Lupato V, Spinato G, Gava A and Da Mosto MC: Non-endemic
locoregional advanced nasopharyngeal carcinoma: Long-term outcome
after induction plus concurrent chemoradiotherapy in everyday
clinical practice. Eur Arch Otorhinolaryngol. 272:3491–3498. 2015.
View Article : Google Scholar : PubMed/NCBI
|
3
|
Chen Y, Liu X, Zheng D, Xu L, Hong L, Xu Y
and Pan J: Diffusion-weighted magnetic resonance imaging for early
response assessment of chemoradiotherapy in patients with
nasopharyngeal carcinoma. Magn Reson Imaging. 32:630–637. 2014.
View Article : Google Scholar : PubMed/NCBI
|
4
|
Yi JL, Gao L, Huang XD, Li SY, Luo JW, Cai
WM, Xiao JP and Xu GZ: Nasopharyngeal carcinoma treated by radical
radiotherapy alone: Ten-year experience of a single institution.
Int J Radiat Oncol Biol Phys. 65:161–168. 2006. View Article : Google Scholar : PubMed/NCBI
|
5
|
Spratt DE and Lee N: Current and emerging
treatment options for nasopharyngeal number carcinoma. Onco Targets
Ther. 5:297–308. 2012.PubMed/NCBI
|
6
|
Türkbey B, Thomasson D, Pang Y, Bernardo M
and Choyke PL: The role of dynamic contrast-enhanced MRI in cancer
diagnosis and treatment. Diagn Interv Radiol. 16:186–192.
2010.PubMed/NCBI
|
7
|
Pan J, Zang L, Zhang Y, Hong J, Yao Y, Zou
C, Zhang L and Chen Y: Early changes in apparent diffusion
coefficients predict radiosensitivity of human nasopharyngeal
carcinoma xenografts. Laryngoscope. 122:839–843. 2012. View Article : Google Scholar : PubMed/NCBI
|
8
|
Huang B, Wong CS, Whitcher B, Kwong DL,
Lai V, Chan Q and Khong PL: Dynamic contrast enhanced magnetic
resonance imaging for characterising nasopharyngeal carcinoma:
Comparison of semiquantitative and quantitative parameters and
correlation with tumour stage. Eur Radiol. 23:1495–1502. 2013.
View Article : Google Scholar : PubMed/NCBI
|
9
|
Zheng D, Chen Y, Chen Y, Xu L, Chen W, Yao
Y, Du Z, Deng X and Chan Q: Dynamic contrast-enhanced MRI of
nasopharyngeal carcinoma: A preliminary study of the correlations
between quantitative parameters and clinical stage. J Magn Reson
Imaging. 39:940–948. 2014. View Article : Google Scholar : PubMed/NCBI
|
10
|
Abdel Razek AA and Kamal E: Nasopharyngeal
carcinoma: Correlation of apparent diffusion coefficient value with
prognostic parameters. Radiol Med. 118:534–539. 2013. View Article : Google Scholar : PubMed/NCBI
|
11
|
Vandecaveye V, Dirix P, De Keyzer F, de
Beeck KO, Vander Poorten V, Roebben I, Nuyts S and Hermans R:
Predictive value of diffusion-weighted magnetic resonance imaging
during chemoradiotherapy for head and neck squamous cell carcinoma.
Eur Radiol. 20:1703–1714. 2010. View Article : Google Scholar : PubMed/NCBI
|
12
|
Kim S, Loevner LA, Quon H, Kilger A,
Sherman E, Weinstein G, Chalian A and Poptani H: Prediction of
response to chemoradiation therapy in squamous cell carcinomas of
the head and neck using dynamic contrast-enhanced MR imaging. AJNR
Am J Neuroradiol. 31:262–268. 2010. View Article : Google Scholar : PubMed/NCBI
|
13
|
Powell C, Schmidt M, Borri M, Koh DM,
Partridge M, Riddell A, Cook G, Bhide SA, Nutting CM, Harrington KJ
and Newbold KL: Changes in functional imaging parameters following
induction chemotherapy have important implications for
individualised patient-based treatment regimens for advanced head
and neck cancer. Radiother Oncol. 106:112–117. 2013. View Article : Google Scholar : PubMed/NCBI
|
14
|
Zhou G, Chen X, Zhang J, Zhu J, Zong G and
Wang Z: Contrast-enhanced dynamic and diffusion-weighted MR imaging
at 3.0T to assess aggressiveness of bladder cancer. Eur J Radiol.
83:2013–2018. 2014. View Article : Google Scholar : PubMed/NCBI
|
15
|
Kul S, Cansu A, Alhan E, Dinc H, Gunes G
and Reis A: Contribution of diffusion weighted imaging to dynamic
contrast-enhanced MRI in the characterization of breast tumors. AJR
Am J Roentgenol. 196:210–217. 2011. View Article : Google Scholar : PubMed/NCBI
|
16
|
Hong J, Yao Y, Zhang Y, Tang T, Zhang H,
Bao D, Chen Y and Pan J: Value of magnetic resonance
diffusion-weighted imaging for the prediction of radio sensitivity
in nasopharyngeal carcinoma. Otolaryngol Head Neck Surg.
149:707–713. 2013. View Article : Google Scholar : PubMed/NCBI
|
17
|
Fong D, Bhatia KS, Yeung D and King AD:
Diagnostic accuracy of diffusion weighted MR imaging for
nasopharyngeal carcinoma, head and neck lymphoma and squamous cell
carcinoma at the primary site. Oral Oncol. 46:603–606. 2010.
View Article : Google Scholar : PubMed/NCBI
|
18
|
Li H, Liu XW, Geng ZJ, Wang DL and Xie CM:
Diffusion-weighted imaging to differentiate metastatic from
non-metastatic retropharyngeal lymph nodes in nasopharyngeal
carcinoma. Dentomaxillofac Radiol. 44:201401262015. View Article : Google Scholar : PubMed/NCBI
|
19
|
Kobayashi S, Koga F, Kajino K, Yoshita S,
Ishii C, Tanaka H, Saito K, Masuda H, Fujii Y, Yamada T and Kihara
K: Apparent diffusion coefficient value reflects invasive and
proliferative potential of bladder cancer. J Magn Reson Imaging.
39:172–178. 2014. View Article : Google Scholar : PubMed/NCBI
|
20
|
Langer DL, van der Kwast TH, Evans AJ,
Plotkin A, Trachtenberg J, Wilson BC and Haider MA: Prostate tissue
composition and MR measurements: Investigating the relationships
between ADC, T2, Ktrans, ve and corresponding
histologic features. Radiology. 255:485–494. 2010. View Article : Google Scholar : PubMed/NCBI
|
21
|
Lee J, Choi SH, Kim JH, Sohn CH, Lee S and
Jeong J: Glioma grading using apparent diffusion coefficient map:
Application of histogram analysis based on automatic segmentation.
NMR Biomed. 27:1046–1052. 2014. View
Article : Google Scholar : PubMed/NCBI
|
22
|
Guo AC, Cummings TJ, Dash RC and
Provenzale JM: Lymphomas and high-grade astrocytomas: Comparison of
water diffusibility and histologic characteristics. Radiology.
224:177–183. 2002. View Article : Google Scholar : PubMed/NCBI
|
23
|
Yao WW, Zhang H, Ding B, Fu T, Jia H, Pang
L, Song L, Xu W, Song Q, Chen K and Pan Z: Rectal Cancer: 3D
dynamic contrast-enhanced MRI; correlation with microvascular
density and clinicopathological features. Radiol Med. 116:366–374.
2011. View Article : Google Scholar : PubMed/NCBI
|
24
|
Law M, Oh S, Babb JS, Wang E, Inglese M,
Zagzag D, Knopp EA and Johnson G: Low-grade gliomas: Dynamic
susceptibility-weighted contrast-enhanced perfusion MR imaging
prediction of patient clinical response. Radiology. 238:658–667.
2006. View Article : Google Scholar : PubMed/NCBI
|
25
|
Möbius C, Freire J, Becker I, Feith M,
Brücher BL, Hennig M, Siewert JR and Stein HJ: VEGF-C expression in
squamous cell carcinoma and adenocarcinoma of the esophagus. World
J Surg. 31:1768–1772. 2007. View Article : Google Scholar : PubMed/NCBI
|
26
|
El Khouli RH, Macura KJ, Kamel IR, Jacobs
MA and Bluemke DA: 3-T dynamic contrast-enhanced MRI of the breast:
Pharmacokinetic parameters versus conventional kinetic curve
analysis. AJR Am J Roentgenol. 197:1498–1505. 2011. View Article : Google Scholar : PubMed/NCBI
|
27
|
Arevalo-Perez J, Peck KK, Young RJ,
Holodny AI, Karimi S and Lyo JK: Dynamic contrast-enhanced
perfusion MRI and diffusion-weighted imaging in grading of gliomas.
J Neuroimaging. 25:792–798. 2015. View Article : Google Scholar : PubMed/NCBI
|
28
|
Woodhams R, Matsunaga K, Kan S, Hata H,
Ozaki M, Iwabuchi K, Kuranami M, Watanabe M and Hayakawa K: ADC
mapping of benign and malignant breast tumors. Magn Reson Med Sci.
4:35–42. 2005. View Article : Google Scholar : PubMed/NCBI
|