Diffusion kurtosis imaging predicts neoadjuvant chemotherapy responses within 4 days in advanced nasopharyngeal carcinoma patients
Corresponding Author
Yunbin Chen MD
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
The first two authors contributed equally to this work.
Address reprint requests to: Y.C., No. 420, Fuma Road, Fuzhou, Fujian, P.R. China 350014. E-mail: [email protected].Search for more papers by this authorWang Ren MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
The first two authors contributed equally to this work.
Search for more papers by this authorDechun Zheng MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorJing Zhong MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorXiangyi Liu MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorQiuyuan Yue MS
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorMeng Liu MS
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorYouping Xiao MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorWeibo Chen PhD
Philips Healthcare, Shanghai, People's Republic of China
Search for more papers by this authorQueenie Chan PhD
Philips Healthcare, Hong Kong, People's Republic of China
Search for more papers by this authorJianji Pan MD
Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorCorresponding Author
Yunbin Chen MD
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
The first two authors contributed equally to this work.
Address reprint requests to: Y.C., No. 420, Fuma Road, Fuzhou, Fujian, P.R. China 350014. E-mail: [email protected].Search for more papers by this authorWang Ren MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
The first two authors contributed equally to this work.
Search for more papers by this authorDechun Zheng MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorJing Zhong MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorXiangyi Liu MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorQiuyuan Yue MS
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorMeng Liu MS
Department of Radiology, First Clinical Medical College of Fujian Medical University, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorYouping Xiao MS
Department of Radiology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorWeibo Chen PhD
Philips Healthcare, Shanghai, People's Republic of China
Search for more papers by this authorQueenie Chan PhD
Philips Healthcare, Hong Kong, People's Republic of China
Search for more papers by this authorJianji Pan MD
Department of Radiation Oncology, Fujian Provincial Cancer Hospital, Fuzhou, Fujian, People's Republic of China
Search for more papers by this authorAbstract
Purpose
To explore the clinical value of diffusion kurtosis imaging (DKI) and monoexponential diffusion-weighted imaging (DWI) for predicting early response to neoadjuvant chemotherapy (NAC) in patients with nasopharyngeal carcinoma (NPC).
Materials and Methods
Fifty-nine patients with stage III-IVb NPC underwent four 3.0T MR scans: prior to, and on the 4th, 21st, 42nd days after NAC initiation. The parameters of DKI (corrected diffusion coefficient, D; excess diffusion kurtosis coefficient, K) and monoexponential DWI (apparent diffusion coefficient, ADC) were obtained at the first three scans. Statistical methods included Student's t-test or Mann-Whitney U-test, receiver operating characteristic (ROC) curve analyses and paired X2 test.
Results
D(pre) in responders group (RG) was significantly lower than nonresponders group (NRG) (1.029 ± 0.033 vs. 1.184 ± 0.055, ×10−3 mm2/s, P = 0.020). ADC(day4) and ΔD(day4) were the most useful parameters of the two diffusional models to distinguish RG from NRG, respectively (area under the curve, 0.761 vs. 0.895). ΔD(day4) was more sensitive than ADC(day4) to predict treatment response to NAC (P = 0.006).
Conclusion
Both DKI and monoexponential DWI showed potential to predict treatment response to NAC prior to morphological change. DKI may be superior to monoexponential DWI for predicting early response to NAC in patients with locally advanced NPC. J. Magn. Reson. Imaging 2015;42:1354–1361.
References
- 1 Chang ET, Adami HO. The enigmatic epidemiology of nasopharyngeal carcinoma. Cancer Epidemiol Biomarkers Prev 2006; 15: 1765–1777.
- 2 Mao YP, Xie FY, Liu LZ, et al. Re-evaluation of 6th edition of AJCC staging system for nasopharyngeal carcinoma and proposed improvement based on magnetic resonance imaging. Int J Radiat Oncol Biol Phys 2009; 73: 1326–1334.
- 3 Lee AW, Tung SY, Chua DT, et al. Randomized trial of radiotherapy plus concurrent-adjuvant chemotherapy vs. radiotherapy alone for regionally advanced nasopharyngeal carcinoma. J Natl Cancer Inst 2010; 102: 1188–1198.
- 4 Baujat B, Audry H, Bourhis J, et al. Chemotherapy in locally advanced nasopharyngeal carcinoma: an individual patient data meta-analysis of eight randomized trials and 1753 patients. Int J Radiat Oncol Biol Phys 2006; 64: 47–56.
- 5 Lee NY, Zhang Q, Pfister DG, et al. Addition of bevacizumab to standard chemoradiation for locoregionally advanced nasopharyngeal carcinoma (RTOG 0615): a phase 2 multi-institutional trial. Lancet Oncol 2012; 13: 172–180.
- 6 Buehrlen M, Zwaan CM, Granzen B, et al. Multimodal treatment, including interferon beta, of nasopharyngeal carcinoma in children and young adults: preliminary results from the prospective, multicenter study NPC-2003-GPOH/DCOG. Cancer 2012; 118: 4892–4900.
- 7 Kong L, Hu C, Niu X, et al. Neoadjuvant chemotherapy followed by concurrent chemoradiation for locoregionally advanced nasopharyngeal carcinoma: interim results from 2 prospective phase 2 clinical trials. Cancer 2013; 119: 4111–4118.
- 8 OuYang PY, Xie C, Mao YP, et al. Significant efficacies of neoadjuvant and adjuvant chemotherapy for nasopharyngeal carcinoma by meta-analysis of published literature-based randomized, controlled trials. Ann Oncol 2013; 24: 2136–2146.
- 9 Choi JS, Baek HM, Kim S, et al. HR-MAS MR spectroscopy of breast cancer tissue obtained with core needle biopsy: correlation with prognostic factors. PLoS One 2012; 7: e51712.
- 10 King AD, Yeung DK, Yu KH, Mo FK, Hu CW, et al. Monitoring of treatment response after chemoradiotherapy for head and neck cancer using in vivo 1H MR spectroscopy. Eur Radiol 2010; 20: 165–172.
- 11 Lee SK, Kim J, Kim HD, et al. Initial experiences with proton MR spectroscopy in treatment monitoring of mitochondrial encephalopathy. Yonsei Med J 2010; 51: 672–675.
- 12 Quon H, Brizel DM. Predictive and prognostic role of functional imaging of head and neck squamous cell carcinomas. Semin Radiat Oncol 2012; 22: 220–232.
- 13 Bernstein JM, Homer JJ, West CM. Dynamic contrast-enhanced magnetic resonance imaging biomarkers in head and neck cancer: potential to guide treatment? A systematic review. Oral Oncol 2014; 50: 963–970.
- 14 Hayashida Y, Yakushiji T, Awai K, et al. Monitoring therapeutic responses of primary bone tumors by diffusion-weighted image: initial results. Eur Radiol 2006; 16: 2637–2643.
- 15 Koh DM, Scurr E, Collins D, et al. Predicting response of colorectal hepatic metastasis: value of pretreatment apparent diffusion coefficients. AJR Am J Roentgenol 2007; 188: 1001–1008.
- 16 Song I, Kim CK, Park BK, et al. Assessment of response to radiotherapy for prostate cancer: value of diffusion-weighted MRI at 3 T. AJR Am J Roentgenol 2010; 194: 477–482.
- 17 Yuan J, Yeung DK, 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.
- 18 King AD, Chow KK, Yu KH, Mo FK, Yeung DK, et al. Head and neck squamous cell carcinoma: diagnostic performance of diffusion-weighted MR imaging for the prediction of treatment response. Radiology 2013; 266: 531–538.
- 19 Rosenkrantz AB, Sigmund EE, Winnick A, et al. Assessment of hepatocellular carcinoma using apparent diffusion coefficient and diffusion kurtosis indices: preliminary experience in fresh liver explants. Magn Reson Imaging 2012; 30: 1534–1540.
- 20 Jensen JH, Helpern JA, Ramani A, et al. Diffusional kurtosis imaging: the quantification of non-Gaussian water diffusion by means of magnetic resonance imaging. Magn Reson Med 2005; 53: 1432–1440.
- 21 Raab P, Hattingen E, Franz K, et al. Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences. Radiology 2010; 254: 876–881.
- 22 Kamagata K, Tomiyama H, Motoi Y, et al. Diffusional kurtosis imaging of cingulate fibers in Parkinson disease: comparison with conventional diffusion tensor imaging. Magn Reson Imaging 2013; 31: 1501–1506.
- 23 Lee CY, Tabesh A, Spampinato MV, et al. Diffusional kurtosis imaging reveals a distinctive pattern of microstructural alternations in idiopathic generalized epilepsy. Acta Neurol Scand 2014; 130: 148–155.
- 24 Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer 2009; 45: 228–247.
- 25 Gibbs P, Liney GP, Pickles MD, et al. Correlation of ADC and T2 measurements with cell density in prostate cancer at 3.0 Tesla. Invest Radiol 2009; 44: 572–576.
- 26 Barajas RF Jr, Rubenstein JL, Chang JS, et al. Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma. AJNR Am J Neuroradiol 2010; 31: 60–66.
- 27 Lambrecht M, Dirix P, Vandecaveye V, et al. Role and value of diffusion-weighted MRI in the radiotherapeutic management of head and neck cancer. Expert Rev Anticancer Ther 2010; 10: 1451–1459.
- 28 Driessen JP, Caldas-Magalhaes J, Janssen LM, et al. Diffusion-weighted MR imaging in laryngeal and hypopharyngeal carcinoma: association between apparent diffusion coefficient and histologic findings. Radiology 2014; 272: 456–463.
- 29 Neesse A, Michl P, Frese KK, et al. Stromal biology and therapy in pancreatic cancer. Gut 2011; 60: 861–868.
- 30 Koontongkaew S. The tumor microenvironment contribution to development, growth, invasion and metastasis of head and neck squamous cell carcinomas. J Cancer 2013; 4: 66–83.
- 31 Kyriazi S, Collins DJ, 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: 182–192.
- 32 King AD, Mo FK, Yu KH, et al. Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response. Eur Radiol 2010; 20: 2213–2220.
- 33 Suo S, Chen X, Wu L, et al. Non-Gaussian water diffusion kurtosis imaging of prostate cancer. Magn Reson Imaging 2014; 32: 421–427.
- 34 Lu H, Jensen JH, Ramani A, et al. Three-dimensional characterization of non-gaussian water diffusion in humans using diffusion kurtosis imaging. NMR Biomed 2006; 19: 236–247.
- 35 Thoeny HC. Diffusion-weighted MRI in head and neck radiology: applications in oncology. Cancer Imaging 2011; 10: 209–214.
- 36 Bains LJ, Zweifel M, Thoeny HC. Therapy response with diffusion MRI: an update. Cancer Imaging 2012; 12: 395–402.
- 37 Vandecaveye V, Dirix P, De Keyzer F, et al. Predictive value of diffusion weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. Eur Radiol 2010; 20: 1703–1714.
- 38 Zhang XP, Sun YS, Tang L, et al. Apparent diffusion coefficient: potential imaging biomarker for prediction and early detection of response to chemotherapy in hepatic metastases. Radiology 2008; 248: 894–900.
- 39 Filli L, Wurnig M, Nanz D, et al. Whole-body diffusion kurtosis imaging: initial experience on non-Gaussian diffusion in various organs. Invest Radiol 2014; 49: 773–778.