Diffusion-weighted magnetic resonance imaging for predicting and detecting the response of ocular melanoma to proton beam therapy: initial results
Tóm tắt
The aim of this study was to investigate the utility of diffusion-weighted magnetic resonance (MR) imaging for prediction and early detection of response to proton beam therapy in ocular melanoma. Ten ocular melanoma patients treated with proton beam therapy were enrolled in the study. All patients underwent conventional MR imaging and diffusion-weighted imaging (DWI) before the start of therapy, and after 1, 3 and 6 months of therapy. Tumour volumes and apparent diffusion coefficient (ADC) values of ocular lesions were measured at each examination. Tumour volumes and mean ADC measurements of the four examination series were compared; correlation of ADC values and tumour regression was investigated. Mean ADC value of ocular melanomas significantly increased as early as 3 months after therapy; tumour volume significantly decreased as early as 6 months after therapy. The ADC values of ocular melanomas before therapy significantly correlated with tumour regression. DWI may provide an early surrogate biomarker for prediction and early detection of tumour response to eye-preserving therapies in ocular melanoma.
Tài liệu tham khảo
Pereira PR, Odashiro AN, Lim LA et al (2013) Current and emerging treatment options for uveal melanoma. Clin Ophthalmol 7:1669–1682
Gragoudas ES (2006) Proton beam irradiation of uveal melanomas: the first 30 years. The Weisenfeld lecture. Invest Ophthalmol Vis Sci 47:4666–4673
Hilborn MD, Munk PL, Lin DT et al (1993) Sonography of ocular choroidal melanomas. AJR Am J Roentgenol 161:1253–1257
Pavlin CJ, Foster FS (1994) Ultrasound biomicroscopy of the eye. Springer, Berlin. ISBN 0-387-94206-8
Colagrande S, Belli G, Politi LS et al (2008) The influence of diffusion- and relaxation-related factors on signal intensity: an introductive guide to magnetic resonance diffusion-weighted imaging studies. J Comput Assist Tomogr 32:463–474
Provenzale JM, Sorensen AG (1999) Diffusion-weighted MR imaging in acute stroke: theoretic considerations and clinical applications. Am J Roentgenol 173:1459–1467
Kim S, Loevner L, Quon H 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 15:986–994
Hamstra DA, Galban CJ, Meyer CR et al (2008) Functional diffusion map as an early imaging biomarker for high-grade glioma: correlation with conventional radiologic response and overall survival. J Clin Oncol 26:3387–3394
Vandecaveye V, Dirix P, De Keyzer F et al (2010) Predictive value of diffusion weighted magnetic resonance imaging during chemoradiotherapy for head and neck squamous cell carcinoma. Eur Radiol 20:1703–1714
Rodriguez Gutierrez D, Manita M, Jaspan T et al (2013) Serial MR diffusion to predict treatment response in high-grade pediatric brain tumors: a comparison of regional and voxel-based diffusion change metrics. Neuro Oncol 15:981–989
Sugahara T, Korogi Y, Kochi M et al (1999) Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging 9:53–60
Mardor Y, Pfeffer R, Spiegelmann R et al (2003) Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. J Clin Oncol 21:1094–1100
Hamstra DA, Chenevert TL, Moffat BA et al (2005) Evaluation of the functional diffusion map as an early biomarker of time-to-progression and overall survival in high-grade glioma. Proc Natl Acad Sci USA 102:16759–16764
Erb-Eigner K, Willerding G, Taupitz M et al (2013) Diffusion-weighted imaging of ocular melanoma. Invest Radiol 48:702–707
The Collaborative Ocular Melanoma Study Group (1990) Accuracy of diagnosis of choroidal melanomas in the Collaborative Ocular Melanoma Study. COMS report no. 1. Arch Ophthalmol 108:1268–1273
Damato B, Kacperek A, Errington D et al (2013) Proton beam radiotherapy of uveal melanoma. Saudi J Ophthalmol 27:151–157
de Graaf P, Pouwels PJ, Rodjan F et al (2012) Single-shot turbo spin-echo diffusion-weighted imaging for retinoblastoma: initial experience. Am J Neuroradiol 33:110–118
Sepahdari AR, Kapur R, Aakalu VK et al (2012) Diffusion-weighted imaging of malignant ocular masses: initial results and directions for further study. Am J Neuroradiol 33:314–319
Kang Y, Choi SH, Kim YJ et al (2011) Gliomas: histogram analysis of apparent diffusion coefficient maps with standard- or high-b-value diffusion-weighted MR imaging–correlation with tumor grade. Radiology 261:882–890
Soher BJ, Dale BM, Merkle EM (2007) A review of MR physics: 3T versus 1.5T. Magn Reson Imaging Clin N Am 15:277–290
Sepahdari AR, Aakalu VK, Setabutr P et al (2010) Indeterminate orbital masses: restricted diffusion at MR imaging with echo-planar diffusion-weighted imaging predicts malignancy. Radiology 256:554–564
Lavdas I, Miquel ME, McRobbie DW, Aboagye EO et al (2014) Comparison between diffusion-weighted MRI (DW-MRI) at 1.5 and 3 tesla: a phantom study. J Magn Reson Imaging 40:682–690
Politi LS, Forghani R, Godi C et al (2010) Ocular adnexal lymphoma: diffusion weighted MR imaging for differential diagnosis and therapeutic monitoring. Radiology 256:565–574
Dzik-Jurasz A, Domenig C, George M et al (2002) Diffusion MRI for prediction of response of rectal cancer to chemoradiation. Lancet 360:307–308
Liu Y, Bai R, Sun H et al (2009) Diffusion-weighted imaging in predicting and monitoring the response of uterine cervical cancer to combined chemoradiation. Clin Radiol 64:1067–1074
Koh DM, Collins DJ (2007) Diffusion-weighted MRI in the body: application and challenges in oncology. AJR Am J Roentgenol 188:1622–1635
Lyng H, Haraldseth O, Rofstad EK (2000) Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion weighted magnetic resonance imaging. Magn Reson Med 43:828–836
Petralia G, Padhani A, Summers P et al (2013) Whole-body diffusion-weighted imaging: is it all we need for detecting metastases in melanoma patients? Eur Radiol 23:3466–3476