Evaluation of response in patients with hepatocellular carcinoma treated with intratumoral dendritic cell vaccination using intravoxel incoherent motion (IVIM) MRI and histogram analysis

1. Wallace, MC, Preen, D, Jeffrey, GP, et al. The evolving epidemiology of hepatocellular carcinoma: a global perspective. Expert Rev Gastroenterol Hepatol 2015;9:765–779.
Google Scholar | Crossref | Medline2. Kole, C, Charalampakis, N, Tsakatikas, S, et al. Immunotherapy for hepatocellular carcinoma: a 2021 update. Cancers (Basel) 2020;12:2859.
Google Scholar | Crossref3. Seymour, L, Bogaerts, J, Perrone, A, et al. iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics. Lancet Oncol 2017;18:e143–e152.
Google Scholar | Crossref | Medline | ISI4. Le Bihan, D, Breton, E, Lallemand, D, et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 1988;168:497–505.
Google Scholar | Crossref | Medline | ISI5. Zhu, L, Cheng, Q, Luo, W, et al. A comparative study of apparent diffusion coefficient and intravoxel incoherent motion-derived parameters for the characterization of common solid hepatic tumors. Acta Radiol 2015;56:1411–1418.
Google Scholar | SAGE Journals | ISI6. Zhang, Y, Kuang, S, Shan, Q, et al. Can IVIM help predict HCC recurrence after hepatectomy? Eur Radiol 2019;29:5791–5803.
Google Scholar | Crossref | Medline7. Wu, L, Xu, P, Rao, S, et al. ADCtotal ratio and D ratio derived from intravoxel incoherent motion early after TACE are independent predictors for survival in hepatocellular carcinoma. J Magn Reson Imaging 2017;46:820–830.
Google Scholar | Crossref | Medline8. Just, N . Improving tumour heterogeneity MRI assessment with histograms. Br J Cancer 2014;111:2205–2213.
Google Scholar | Crossref | Medline9. Shi, G, Han, X, Wang, Q, et al. Evaluation of multiple prognostic factors of hepatocellular carcinoma with intra-voxel incoherent motions imaging by extracting the histogram metrics. Cancer Manag Res 2020;12:6019–6031.
Google Scholar | Crossref | Medline10. Rizell, M, Sternby Eilard, M, Andersson, M, et al. Phase 1 trial with the cell-based immune primer ilixadencel, alone, and combined with sorafenib, in advanced hepatocellular carcinoma. Front Oncol 2019;9:19.
Google Scholar | Crossref | Medline11. EASL, EORTC . EASL-EORTC clinical practice guidelines: management of hepatocellular carcinoma. J Hepatol 2012;56:908–943.
Google Scholar | Crossref | Medline12. Lencioni, R, Llovet, JM. Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 2010;30:52–60.
Google Scholar | Crossref | Medline | ISI13. Rueckert, D, Sonoda, LI, Hayes, C, et al. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 1999;18:712–721.
Google Scholar | Crossref | Medline | ISI14. Gustafsson, O, Montelius, M, Starck, G, et al. Impact of prior distributions and central tendency measures on Bayesian intravoxel incoherent motion model fitting. Magn Reson Med 2018;79:1674–1683.
Google Scholar | Crossref | Medline15. Llovet, JM, Lencioni, R. mRECIST for HCC: performance and novel refinements. J Hepatol 2020;72:288–306.
Google Scholar | Crossref | Medline16. Shropshire, EL, Chaudhry, M, Miller, CM, et al. LI-RADS treatment response algorithm: performance and diagnostic accuracy. Radiology 2019;292:226–234.
Google Scholar | Crossref | Medline17. El-Khoueiry, AB, Sangro, B, Yau, T, et al. Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): an open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet 2017;389:2492–2502.
Google Scholar | Crossref | Medline | ISI18. Yang, X, Xiao, X, Lu, B, et al. Perfusion-sensitive parameters of intravoxel incoherent motion MRI in rectal cancer: evaluation of reproducibility and correlation with dynamic contrast-enhanced MRI. Acta Radiol 2019;60:569–577.
Google Scholar | SAGE Journals | ISI19. Lee, EY, Hui, ES, Chan, KK, et al. Relationship between intravoxel incoherent motion diffusion-weighted MRI and dynamic contrast-enhanced MRI in tissue perfusion of cervical cancers. J Magn Reson Imaging 2015;42:454–459.
Google Scholar | Crossref | Medline | ISI20. Woo, S, Lee, JM, Yoon, JH, et al. Intravoxel incoherent motion diffusion-weighted MR imaging of hepatocellular carcinoma: correlation with enhancement degree and histologic grade. Radiology 2014;270:758–767.
Google Scholar | Crossref | Medline | ISI21. Xu, XQ, Choi, YJ, Sung, YS, et al. Intravoxel incoherent motion MR imaging in the head and neck: correlation with dynamic contrast-enhanced MR imaging and diffusion-weighted imaging. Korean J Radiol 2016;17:641–649.
Google Scholar | Crossref | Medline22. Hectors, SJ, Wagner, M, Besa, C, et al. Intravoxel incoherent motion diffusion-weighted imaging of hepatocellular carcinoma: is there a correlation with flow and perfusion metrics obtained with dynamic contrast-enhanced MRI? J Magn Reson Imaging 2016;44:856–864.
Google Scholar | Crossref | Medline23. Hectors, SJ, Lewis, S, Kennedy, P, et al. Assessment of hepatocellular carcinoma response to (90)Y radioembolization using dynamic contrast material-enhanced MRI and intravoxel incoherent motion diffusion-weighted imaging. Radiol Imaging Cancer 2020;2:e190094.
Google Scholar | Crossref | Medline24. Song, YS, Park, CM, Lee, SM, et al. Reproducibility of histogram and texture parameters derived from intravoxel incoherent motion diffusion-weighted MRI of FN13762 rat breast carcinomas. Anticancer Res 2014;34:2135–2144.
Google Scholar | Medline25. Hayano, K, Fuentes-Orrego, JM, Sahani, DV. New approaches for precise response evaluation in hepatocellular carcinoma. World J Gastroenterol 2014;28:3059–3068.
Google Scholar | Crossref26. Tam, HH, Collins, DJ, Brown, G, et al. The role of pre-treatment diffusion-weighted MRI in predicting long-term outcome of colorectal liver metastasis. Br J Radiol 2013;86:20130281.
Google Scholar | Crossref | Medline27. Sinkus, R, Van Beers, BE, Vilgrain, V, et al. Apparent diffusion coefficient from magnetic resonance imaging as a biomarker in oncology drug development. Eur J Cancer 2012;48:425–431.
Google Scholar | Crossref | Medline28. Le Bihan, D . What can we see with IVIM MRI? NeuroImage 2019;187:56–67.
Google Scholar | Crossref | Medline29. Kakite, S, Dyvorne, H, Besa, C, et al. Hepatocellular carcinoma: short-term reproducibility of apparent diffusion coefficient and intravoxel incoherent motion parameters at 3.0 T. J Magn Reson Imaging 2015;41:149–156.
Google Scholar | Crossref | Medline30. Chevallier, O, Zhou, N, He, J, et al. Removal of evidential motion-contaminated and poorly fitted image data improves IVIM diffusion MRI parameter scan-rescan reproducibility. Acta Radiol 2018;59:1157–1167.
Google Scholar | SAGE Journals | ISI31. Li, YT, Cercueil, JP, Yuan, J, et al. Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation. Quant Imaging Med Surg 2017;7:59–78.
Google Scholar | Crossref | Medline32. Guyader, JM, Bernardin, L, Douglas, NH, et al. Influence of image registration on apparent diffusion coefficient images computed from free-breathing diffusion MR images of the abdomen. J Magn Reson Imaging 2015;42:315–330.
Google Scholar | Crossref | Medline33. Barbieri, S, Donati, OF, Froehlich, JM, et al. Impact of the calculation algorithm on biexponential fitting of diffusion-weighted MRI in upper abdominal organs. Magn Reson Med 2016;75:2175–2184.
Google Scholar | Crossref | Medline34. Wang, YXJ, Li, YT, Chevallier, O, et al. Dependence of intravoxel incoherent motion diffusion MR threshold b-value selection for separating perfusion and diffusion compartments and liver fibrosis diagnostic performance. Acta Radiol 2019;60:3–12.
Google Scholar | SAGE Journals | ISI35. Aliotta, E, Wu, HH, Ennis, DB. Convex optimized diffusion encoding (CODE) gradient waveforms for minimum echo time and bulk motion-compensated diffusion-weighted MRI. Magn Reson Med 2017;77:717–729.
Google Scholar | Crossref | Medline36. Wang, YXJ . Observed paradoxical perfusion fraction elevation in steatotic liver: an example of intravoxel incoherent motion modeling of the perfusion component constrained by the diffusion component. NMR Biomed 2021;34:e4488.
Google Scholar | Crossref | Medline

留言 (0)

沒有登入
gif