Diffusion-Weighted Imaging of Nasopharyngeal Carcinoma: Can Pretreatment DWI Predict Local Failure Based on Long-Term Outcome?

References

1. 1.↵
   2. Lee AW,
   3. Sze WM,
   4. Au JS, et al

   . Treatment results for nasopharyngeal carcinoma in the modern era: the Hong Kong experience. Int J Radiat Oncol Biol Phys 2005;61:1107–16 doi:10.1016/j.ijrobp.2004.07.702 pmid:15752890

   CrossRefPubMedWeb of Science
2. 2.↵
   2. Yu KH,
   3. Leung SF,
   4. Tung SY, et al

   ; Hong Kong Nasopharyngeal Carcinoma Study Group. Survival outcome of patients with nasopharyngeal carcinoma with first local failure: a study by the Hong Kong Nasopharyngeal Carcinoma Study Group. Head Neck 2005;27:397–405 doi:10.1002/hed.20161 pmid:15726589

   CrossRefPubMedWeb of Science
3. 3.↵
   2. Driessen JP,
   3. Caldas-Magalhaes J,
   4. Janssen LM, et al

   . Diffusion-weighted MR imaging in laryngeal and hypopharyngeal carcinoma: association between apparent diffusion coefficient and histologic findings. Radiology 2014;272:456–63 doi:10.1148/radiol.14131173 pmid:24749712

   CrossRefPubMed
4. 4.↵
   2. Kim S,
   3. Loevner L,
   4. Quon H, et al

   . Diffusion-weighted magnetic resonance imaging for predicting and detecting early response to chemoradiation therapy of squamous cell carcinomas of the head and neck. Clin Cancer Res 2009;15:986–94 doi:10.1158/1078-0432.CCR-08-1287 pmid:19188170

   Abstract/FREE Full Text
5. 5.↵
   2. Hatakenaka M,
   3. Nakamura K,
   4. Yabuuchi H, et al

   . Pretreatment apparent diffusion coefficient of the primary lesion correlates with local failure in head-and-neck cancer treated with chemoradiotherapy or radiotherapy. Int J Radiat Oncol Biol Phys 2011;81:339–45 doi:10.1016/j.ijrobp.2010.05.051 pmid:20832179

   CrossRefPubMed
6. 6.↵
   2. Hatakenaka M,
   3. Shioyama Y,
   4. Nakamura K, et al

   . Apparent diffusion coefficient calculated with relatively high b-values correlates with local failure of head and neck squamous cell carcinoma treated with radiotherapy. AJNR Am J Neuroradiol 2011;32:1904–10 doi:10.3174/ajnr.A2610 pmid:21778248

   Abstract/FREE Full Text
7. 7.↵
   2. Ohnishi K,
   3. Shioyama Y,
   4. Hatakenaka M, et al

   . Prediction of local failures with a combination of pretreatment tumor volume and apparent diffusion coefficient in patients treated with definitive radiotherapy for hypopharyngeal or oropharyngeal squamous cell carcinoma. J Radiat Res 2011;52:522–30 doi:10.1269/jrr.10178 pmid:21905311

   Abstract/FREE Full Text
8. 8.↵
   2. Srinivasan A,
   3. Chenevert TL,
   4. Dwamena BA, et al

   . Utility of pretreatment mean apparent diffusion coefficient and apparent diffusion coefficient histograms in prediction of outcome to chemoradiation in head and neck squamous cell carcinoma. J Comput Assist Tomogr 2012;36:131–37 doi:10.1097/RCT.0b013e3182405435 pmid:22261783

   CrossRefPubMed
9. 9.↵
   2. Lambrecht M,
   3. Van Calster B,
   4. Vandecaveye V, et al

   . Integrating pretreatment diffusion weighted MRI into a multivariable prognostic model for head and neck squamous cell carcinoma. Radiother Oncol 2014;110:429–34 doi:10.1016/j.radonc.2014.01.004 pmid:24630535

   CrossRefPubMed
10. 10.↵
    2. Hatakenaka M,
    3. Nakamura K,
    4. Yabuuchi H, et al

    . Apparent diffusion coefficient is a prognostic factor of head and neck squamous cell carcinoma treated with radiotherapy. Jpn J Radiol 2014;32:80–89 doi:10.1007/s11604-013-0272-y pmid:24408077

    CrossRefPubMed
11. 11.↵
    2. Lee AW,
    3. Foo W,
    4. Law SC, et al

    . Recurrent nasopharyngeal carcinoma: the puzzles of long latency. Int J Radiat Oncol Biol Phys 1999;44:149–56 doi:10.1016/S0360-3016(98)00524-0 pmid:10219808

    CrossRefPubMed
12. 12.↵
    2. Zheng D,
    3. Chen Y,
    4. Chen Y, et al

    . Early assessment of induction chemotherapy response of nasopharyngeal carcinoma by pretreatment diffusion-weighted magnetic resonance imaging. J Comput Assist Tomogr 2013;37:673–80 doi:10.1097/RCT.0b013e31829a2599 pmid:24045239

    CrossRefPubMed
13. 13.↵
    2. Chen Y,
    3. Liu X,
    4. Zheng D, et al

    . Diffusion-weighted magnetic resonance imaging for early response assessment of chemoradiotherapy in patients with nasopharyngeal carcinoma. Magn Reson Imaging 2014;32:630–37 doi:10.1016/j.mri.2014.02.009 pmid:24703576

    CrossRefPubMed
14. 14.↵
    2. Hong J,
    3. Yao Y,
    4. Zhang Y, et al

    . Value of magnetic resonance diffusion-weighted imaging for the prediction of radiosensitivity in nasopharyngeal carcinoma. Otolaryngol Head Neck Surg 2013;149:707–13 doi:10.1177/0194599813496537 pmid:23884282

    Abstract/FREE Full Text
15. 15.↵
    2. Zhang Y,
    3. Liu X,
    4. Zhang Y, et al

    . Prognostic value of the primary lesion apparent diffusion coefficient (ADC) in nasopharyngeal carcinoma: a retrospective study of 541 cases. Sci Rep 2015;5:12242 doi:10.1038/srep12242 pmid:26184509

    CrossRefPubMed
16. 16.↵
    2. Mroz EA,
    3. Tward AD,
    4. Pickering CR, et al

    . High intratumor genetic heterogeneity is related to worse outcome in patients with head and neck squamous cell carcinoma. Cancer 2013;119:3034–42 doi:10.1002/cncr.28150 pmid:23696076

    CrossRefPubMedWeb of Science
17. 17.↵
    2. Matoba M,
    3. Tuji H,
    4. Shimode Y, et al

    . Fractional change in apparent diffusion coefficient as an imaging biomarker for predicting treatment response in head and neck cancer treated with chemoradiotherapy. AJNR Am J Neuroradiol 2014;35:379–85 doi:10.3174/ajnr.A3706 pmid:24029391

    Abstract/FREE Full Text
18. 18.↵
    2. Chawla S,
    3. Kim S,
    4. Dougherty L, et al

    . Pretreatment diffusion-weighted and dynamic contrast-enhanced MRI for prediction of local treatment response in squamous cell carcinomas of the head and neck. AJR Am J Roentgenol 2013;200:35–43 doi:10.2214/AJR.12.9432 pmid:23255739

    CrossRefPubMed
19. 19.↵
    2. King AD,
    3. Chow KK,
    4. Yu KH, et al

    . Head and neck squamous cell carcinoma: diagnostic performance of diffusion-weighted MR imaging for the prediction of treatment response. Radiology 2013;266:531–38 doi:10.1148/radiol.12120167 pmid:23151830

    CrossRefPubMed
20. 20.↵
    2. Driessen JP,
    3. van Bemmel AJ,
    4. van Kempen PM, et al

    . Correlation of human papillomavirus status with apparent diffusion coefficient of diffusion-weighted MRI in head and neck squamous cell carcinomas. Head Neck 2015 Mar 17. [Epub ahead of print] doi:10.1002/hed.24051 pmid:25783872

    CrossRefPubMed
21. 21.↵
    2. Nakahira M,
    3. Saito N,
    4. Yamaguchi H, et al

    . Use of quantitative diffusion-weighted magnetic resonance imaging to predict human papilloma virus status in patients with oropharyngeal squamous cell carcinoma. Eur Arch Otorhinolaryngol 2014;271:1219–25 doi:10.1007/s00405-013-2641-7 pmid:23880924

    CrossRefPubMed
22. 22.↵
    2. Zhang XL,
    3. Jiang C,
    4. Zhang ZX, et al

    . The tumor-stroma ratio is an independent predictor for survival in nasopharyngeal cancer. Oncol Res Treat 2014;37:480–84 doi:10.1159/000365165 pmid:25231688

    CrossRefPubMed
23. 23.↵
    2. Abdel Razek AA,
    3. Kamal E

    . Nasopharyngeal carcinoma: correlation of apparent diffusion coefficient value with prognostic parameters. Radiol Med 2013;118:534–39 doi:10.1007/s11547-012-0890-x pmid:23090251

    CrossRefPubMed
24. 24.↵
    2. Lai V,
    3. Li X,
    4. Lee VH, et al

    . Nasopharyngeal carcinoma: comparison of diffusion and perfusion characteristics between different tumour stages using intravoxel incoherent motion MR imaging. Eur Radiol 2014;24:176–83 doi:10.1007/s00330-013-2995-7 pmid:23990005

    CrossRefPubMed
25. 25.↵
    2. Chen Y,
    3. Ren W,
    4. Zheng D, et al

    . Diffusion kurtosis imaging predicts neoadjuvant chemotherapy responses within 4 days in advanced nasopharyngeal carcinoma patients. J Magn Reson Imaging 2015;42:1354–61 doi:10.1002/jmri.24910 pmid:25873208

    CrossRefPubMed
26. 26.↵
    2. Xu JF,
    3. Wu XW,
    4. Wang WQ, et al

    . Value of diffusion-weighted magnetic resonance imaging on the follow-up of nasopharyngeal carcinoma after radiotherapy. J Xray Sci Technol 2014;22:605–12 doi:10.3233/XST-140448 pmid:25265921

    CrossRefPubMed
27. 27.↵
    2. Wu Z,
    3. Su Y,
    4. Zeng RF, et al

    . Prognostic value of tumor volume for patients with nasopharyngeal carcinoma treated with concurrent chemotherapy and intensity-modulated radiotherapy. J Cancer Res Clin Oncol 2014;140:69–76 doi:10.1007/s00432-013-1542-x pmid:24173695

    CrossRefPubMed
28. 28.↵
    2. Feng M,
    3. Wang W,
    4. Fan Z, et al

    . Tumor volume is an independent prognostic indicator of local control in nasopharyngeal carcinoma patients treated with intensity-modulated radiotherapy. Radiat Oncol 2013;8:208 doi:10.1186/1748-717X-8-208 pmid:24007375

    CrossRefPubMed
29. 29.↵
    2. Guo R,
    3. Sun Y,
    4. Yu XL, et al

    . Is primary tumor volume still a prognostic factor in intensity modulated radiation therapy for nasopharyngeal carcinoma? Radiother Oncol 2012;104:294–99 doi:10.1016/j.radonc.2012.09.001 pmid:22998947

    CrossRefPubMed
30. 30.↵
    2. Lee CC,
    3. Huang TT,
    4. Lee MS, et al

    . Clinical application of tumor volume in advanced nasopharyngeal carcinoma to predict outcome. Radiat Oncol 2010;5:20 doi:10.1186/1748-717X-5-20 pmid:20222940

    CrossRefPubMed
31. 31.↵
    2. Shen C,
    3. Lu JJ,
    4. Gu Y, et al

    . Prognostic impact of primary tumor volume in patients with nasopharyngeal carcinoma treated by definitive radiation therapy. Laryngoscope 2008;118:1206–10 doi:10.1097/MLG.0b013e31816ed587 pmid:18418278

    CrossRefPubMedWeb of Science
32. 32.↵
    2. Kim JH,
    3. Lee JK

    . Prognostic value of tumor volume in nasopharyngeal carcinoma. Yonsei Med J 2005;46:221–27 doi:10.3349/ymj.2005.46.2.221 pmid:15861494

    CrossRefPubMed
33. 33.↵
    2. Sze WM,
    3. Lee AW,
    4. Yau TK, et al

    . Primary tumor volume of nasopharyngeal carcinoma: prognostic significance for local control. Int J Radiat Oncol Biol Phys 2004;59:21–27 doi:10.1016/j.ijrobp.2003.10.027 pmid:15093895

    CrossRefPubMedWeb of Science
34. 34.↵
    2. Chua DT,
    3. Sham JS,
    4. Leung LH, et al

    . Tumor volume is not an independent prognostic factor in early-stage nasopharyngeal carcinoma treated by radiotherapy alone. Int J Radiat Oncol Biol Phys 2004;58:1437–44 doi:10.1016/j.ijrobp.2003.09.075 pmid:15050321

    CrossRefPubMed
35. 35.↵
    2. Chua DT,
    3. Sham JS,
    4. Kwong DL, et al

    . Volumetric analysis of tumor extent in nasopharyngeal carcinoma and correlation with treatment outcome. Int J Radiat Oncol Biol Phys 1997;39:711–19 doi:10.1016/S0360-3016(97)00374-X pmid:9336154

    CrossRefPubMedWeb of Science
36. 36.↵
    2. Lai SZ,
    3. Li WF,
    4. Chen L, et al

    . How does intensity-modulated radiotherapy versus conventional two-dimensional radiotherapy influence the treatment results in nasopharyngeal carcinoma patients? Int J Radiat Oncol Biol Phys 2011;80:661–68 doi:10.1016/j.ijrobp.2010.03.024 pmid:20643517

    CrossRefPubMed
37. 37.↵
    2. Liao XB,
    3. Mao YP,
    4. Liu LZ, et al

    . How does magnetic resonance imaging influence staging according to AJCC staging system for nasopharyngeal carcinoma compared with computed tomography? Int J Radiat Oncol Biol Phys 2008;72:1368–77 doi:10.1016/j.ijrobp.2008.03.017 pmid:18455329

    CrossRefPubMedWeb of Science
38. 38.↵
    2. Cheng SH,
    3. Tsai SY,
    4. Horng CF, et al

    . A prognostic scoring system for locoregional control in nasopharyngeal carcinoma following conformal radiotherapy. Int J Radiat Oncol Biol Phys 2006;66:992–1003 doi:10.1016/j.ijrobp.2006.06.006 pmid:16979832

    CrossRefPubMed
39. 39.↵
    2. Kyriazi S,
    3. Collins DJ,
    4. Messiou C, et al

    . Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging–value of histogram analysis of apparent diffusion coefficients. Radiology 2011;261:182–92 doi:10.1148/radiol.11110577 pmid:21828186

    CrossRefPubMed
40. 40.↵
    2. Nowosielski M,
    3. Recheis W,
    4. Goebel G, et al

    . ADC histograms predict response to anti-angiogenic therapy in patients with recurrent high-grade glioma. Neuroradiology 2011;53:291–302 doi:10.1007/s00234-010-0808-0 pmid:21125399

    CrossRefPubMedWeb of Science
41. 41.↵
    2. Yuan J,
    3. Yeung DK,
    4. Mok GS, et al

    . Non-Gaussian analysis of diffusion weighted imaging in head and neck at 3T: a pilot study in patients with nasopharyngeal carcinoma. PLoS One 2014;9:e87024 doi:10.1371/journal.pone.0087024 pmid:24466318

    CrossRefPubMed