Diffusion-weighted magnetic resonance imaging (DWMRI) of head and neck squamous cell carcinoma: could it be an imaging biomarker for prediction of response to chemoradiation therapy

Springer Science and Business Media LLC - Tập 51 - Trang 1-14 - 2020
Hanan Mohamed Khattab1, Moataz Mohamed Montasser1, Mohamed Eid1, Alaa Kandil2, Salah El-Din Desouky1
1Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Alexandria University, Alexandria, Egypt
2Department of Clinical Oncology and nuclear medicine, Faculty of Medicine, Alexandria University, Alexandria, Egypt

Tóm tắt

Chemoradiation therapy (CRT) has become a primary definitive treatment modality for head and neck squamous cell carcinoma (HNSCC); however, not all patients respond completely to treatment. Ability to identify those patients, who would not achieve complete response, before or early during the course of CRT will allow treatment modifications to improve outcome and overall survival. The aim of this prospective study was to assess the usefulness of diffusion-weighted imaging (DWI) in prediction of early therapeutic response of HNSCC after CRT. Local control was achieved in 22 patients out of 46 patients with pathologically proven HNSCC treated by chemoradiation therapy and local failure was detected in 24 patients out of 46 patients. Pretreatment mean apparent diffusion coefficient (ADCpre) was significantly higher in local failure group (1.1 ± 0.2 × 10−3 mm2/s) than local control group (0.89 ± 0.1 × 10−3 mm2/s). An optimal cut-off value of more than 0.94 × 10−3 mm2/s was predictive of local failure with sensitivity 83.33%, specificity 59.9%, PPV 69%, NPV 76.5%. Early intra-treatment percentage change of ADC (ΔADC) was significantly lower in local failure group (21.8% ± 21.3) than in local control group (45.2% ± 27.8). An optimal cut-off value of ≤ 33% was predictive of local failure after CRT with sensitivity of 71.34%, specificity of 60%, PPV of 62.5%, and NPV of 69.2%. Diffusion-weighted MRI could be a potential predictive biomarker for therapeutic response of HNSCC to CRT. Primary tumors with higher pretreatment mean ADC, and a smaller early intratreatment percentage increase of mean ADC would be more likely to fail treatment.

Tài liệu tham khảo

Ailianou A, Mundada P, De Perrot T, Pusztaszieri M, Poletti PA, Becker M (2018) MRI with DWI for the detection of posttreatment head and neck squamous cell carcinoma: why morphologic MRI criteria matter. AJNR Am J Neuroradiol 39(4):748–755 Vandecaveye V, De Keyzer F, Nuyts S, Deraedt K, Dirix P, Hamaekers P et al (2007) Detection of head and neck squamous cell carcinoma with diffusion weighted mri after (chemo)radiotherapy: Correlation between radiologic and histopathologic findings. Int J Radiat Oncol Biol Phys 67(4):960–971 Martens RM, Noij DP, Koopman T, Zwezerijnen B, Heymans M, de Jong MC et al (2019) Predictive value of quantitative diffusion-weighted imaging and 18-F-FDG-PET in head and neck squamous cell carcinoma treated by (chemo)radiotherapy. Eur J Radiol 113:39–50 Vandecaveye V, Dirix P, De Keyzer F, de Beeck KO, Vander Poorten V, Roebben I et al (2010) Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. Eur Radiol 20(7):1703–1714 King AD, Chow KK, Yu KH, Mo FK, Yeung DK, Yuan J et al (2013) Head and neck squamous cell carcinoma: diagnostic performance of diffusion-weighted MR imaging for the prediction of treatment response. Radiology 266(2):531–538 Chawla S, Kim S, Dougherty L, Wang S, Loevner LA, Quon H et al (2013) 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 200(1):35–43 Thoeny HC, De Keyzer F, King AD (2012) Diffusion-weighted MR imaging in the head and neck. Radiology 263(1):19–32 Vandecaveye V, De Keyzer F, Dirix P, Lambrecht M, Nuyts S, Hermans R (2010) Applications of diffusion-weighted magnetic resonance imaging in head and neck squamous cell carcinoma. Neuroradiology 52(9):773–784 Emonts P, Bourgeois P, Lemort M, Flamen P (2009) Functional imaging of head and neck cancers. Curr Opin Oncol 21(3):212–217 Jansen JFA, Parra C, Lu Y, Shukla-Dave A (2016) Evaluation of head and neck tumors with functional MR imaging. Magn Reson Imaging Clin N Am 24(1):123–133 Connolly M, Srinivasan A (2018) Diffusion-weighted imaging in head and neck cancer: technique, limitations, and applications. Magn Reson Imaging Clin N Am 26(1):121–133 Padhani AR, Liu G, Koh DM, Chenevert TL, Thoeny HC, Takahara T et al (2009) Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia 11(2):102–125 El Beltagi AH, Elsotouhy AH, Own AM, Abdelfattah W, Nair K, Vattoth S (2019) Functional magnetic resonance imaging of head and neck cancer: Performance and potential. Neuroradiol J 32(1):36–52 Tshering Vogel DW, Zbaeren P, Geretschlaeger A, Vermathen P, De Keyzer F, Thoeny HC (2013) Diffusion-weighted MR imaging including bi-exponential fitting for the detection of recurrent or residual tumour after (chemo)radiotherapy for laryngeal and hypopharyngeal cancers. Eur Radiol 23(2):562–569 Matoba M, Tuji H, Shimode Y, Toyoda I, Kuginuki Y, Miwa K et al (2014) 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 35(2):379–385 King AD, Thoeny HC (2016) Functional MRI for the prediction of treatment response in head and neck squamous cell carcinoma: potential and limitations. Cancer Imaging 16(1):23–31 de Perrot T, Lenoir V, Domingo Ayllon M, Dulguerov N, Pusztaszeri M, Becker M (2017) Apparent diffusion coefficient histograms of human papillomavirus-positive and human papillomavirus-negative head and neck squamous cell carcinoma: assessment of tumor heterogeneity and comparison with histopathology. AJNR Am J Neuroradiol 38(11):2153–2160 Patterson DM, Padhani AR, Collins DJ (2008) Technology insight: water diffusion MRI—a potential new biomarker of response to cancer therapy. Nat CLin Pract Oncol 5(4):220–233 Moffat BA, Chenevert TL, Meyer CR, Mckeever PE, Hall DE, Hoff BA et al (2006) The functional diffusion map: an imaging biomarker for the early prediction of cancer treatment outcome. Neoplasia 8(4):259–267 Razek A, Khalek AA (2010) Diffusion-weighted magnetic resonance imaging of Head and Neck. Journal of Computer Assisted Tomography 34:808–815 Ghany HSA, Samra MFA, El-Saieed M, Gerges AS, Hasan EI, Rahman AA et al (2018) Role of DW-MRI and ADC value in monitoring therapy of head and neck squamous cell carcinoma. Egypt J Radiol Nucl Med 49(4):1030–1035 Kim S, Loevner L, Quon H, Sherman E, Weinstein G, Kilger A et al (2009) 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 15(3):986–994 Vandecaveye V, Dirix P, De Keyzer F, Op de Beeck K, Vander Poorten V, Hauben E et al (2012) Diffusion-weighted magnetic resonance imaging early after chemoradiotherapy to monitor treatment response in head-and-neck squamous cell carcinoma. Int J Radiat Oncol Biol Phys 82(3):1098–1107 King AD, Mo FK, Yu KH, Yeung DK, Zhou H, Bhatia KS et al (2010) Squamous cell carcinoma of the head and neck: diffusion-weighted MR imaging for prediction and monitoring of treatment response. Eur Radiol 20(9):2213–2220 Zhou Q, Zeng F, Ding Y, Fuller CD, Wang J (2018) Meta-analysis of diffusion-weighted imaging for predicting locoregional failure of chemoradiotherapy in patients with head and neck squamous cell carcinoma. Mol Clin Oncol 8(1):197–203 Chung SR, Choi YJ, Suh CH, Lee JH, Baek JH (2019) Diffusion-weighted magnetic resonance imaging for predicting response to chemoradiation therapy for head and neck squamous cell carcinoma: a systematic review. Korean J Radiol 20(4):649–661 Marzi S, Piludu F, Sanguineti G, Marucci L, Farneti A, Terrenato I et al (2017) The prediction of the treatment response of cervical nodes using intravoxel incoherent motion diffusion-weighted imaging. Eur J Radiol 92:93–102 Lombardi M, Cascone T, Guenzi E, Stecco A, Buemi F, Krengli M et al (2017) Predictive value of pre-treatment apparent diffusion coefficient (ADC) in radio-chemiotherapy treated head and neck squamous cell carcinoma. La radiologia medica 122(5):345–352 Hatakenaka M, Shioyama Y, Nakamura K, Yabuuchi H, Matsuo Y, Sunami S et al (2011) Apparent diffusion coefficient calculated with relatively high b-values correlates with local failure of head and neck squamous cell carcinoma treated with radiotherapy. Am J Neuroradiol 32(10):1904–1910 Ng S-H, Lin C-Y, Chan S-C, Lin Y-C, Yen T-C, Liao C-T et al (2014) Clinical utility of multimodality imaging with dynamic contrast-enhanced MRI, diffusion-weighted MRI, and 18F-FDG PET/CT for the prediction of neck control in oropharyngeal or hypopharyngeal squamous cell carcinoma treated with chemoradiation. PLoS One 9(12):e115933 Wong KH, Panek R, Welsh L, Mcquaid D, Dunlop A, Riddell A et al (2016) The predictive value of early assessment after 1 cycle of induction chemotherapy with 18F-FDG PET/CT and diffusion-weighted MRI for response to radical chemoradiotherapy in head and neck squamous cell carcinoma. J Nucl Med 57(12):1843–1850 Schouten CS, de Bree R, van der Putten L, Noij DP, Hoekstra OS, Comans EF et al (2014) Diffusion-weighted EPI-and HASTE-MRI and 18F-FDG-PET-CT early during chemoradiotherapy in advanced head and neck cancer. Quant Imaging Med Surg 4(4):239 Paudyal R, Oh JH, Riaz N, Venigalla P, Li J, Hatzoglou V et al (2017) Intravoxel incoherent motion diffusion-weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma. J Magn Reson Imaging 45(4):1013–1023 Galban CJ, Mukherji SK, Chenevert TL, Meyer CR, Hamstra DA, Bland PH et al (2009) A feasibility study of parametric response map analysis of diffusion-weighted magnetic resonance imaging scans of head and neck cancer patients for providing early detection of therapeutic efficacy. Transl Oncol 2(3):184–190 Srinivasan A, Chenevert TL, Dwamena BA, Eisbruch A, Watcharotone K, Myles JD et al (2012) 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 36(1):131–137 Dubrulle F, Souillard R, Chechin D, Vaneecloo FM, Desaulty A, Vincent C (2006) Diffusion-weighted MR imaging sequence in the detection of postoperative recurrent cholesteatoma. Radiology 238(2):604–610 Huang W, Liu J, Zhang B, Liang L, Luo X, Mei Y et al (2019) Potential value of non-echo-planar diffusion-weighted imaging of the nasopharynx: a primary study for differential diagnosis between recurrent nasopharyngeal carcinoma and post-chemoradiation fibrosis. Acta Radiol 60(10):1265–1272