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Evaluating the extent of cell death in 3D high frequency ultrasound by registration with whole-mount tumor histopathologya)
3.L. C. Michaelis and M. J. Ratain, “Measuring response in a post-RECIST world: From black and white to shades of grey,” Nat. Rev. Cancer 6, 409–414 (2006).
5.W. A. Weber, V. Petersen, B. Schmidt, L. Tyndale-Hines, T. Link, C. Peschel, and M. Schwaiger, “Positron emission tomography in non-small-cell lung cancer: Prediction of response to chemotherapy by quantitative assessment of glucose use,” J. Clin. Oncol. 21, 2651–2657 (2003).
6.K. C. Lee, D. A. Bradley, M. Hussain, C. R. Meyer, T. L. Chenevert, J. A. Jacobson, T. D. Johnson, C. J. Galban, A. Rehemtulla, K. J. Pienta, and B. D. Ross, “A feasibility study evaluating the functional diffusion map as a predictive imaging biomarker for detection of treatment response in a patient with metastatic prostate cancer to the bone,” Neoplasia 9, 1003–1011 (2007).
7.C. Tsien, D. Gomez-Hassan, T. L. Chenevert, J. Lee, T. Lawrence, R. K. Ten Haken, L. R. Junck, B. Ross, and Y. Cao, “Predicting outcome of patients with high-grade gliomas after radiotherapy using quantitative analysis of T1-weighted magnetic resonance imaging,” Int. J. Radiat. Oncol., Biol., Phys. 67, 1476–1483 (2007).
9.P. J. Hoskin, M. I. Saunders, K. Goodchild, M. E. Powell, N. J. Taylor, and H. Baddeley, “Dynamic contrast enhanced magnetic resonance scanning as a predictor of response to accelerated radiotherapy for advanced head and neck cancer,” Br. J. Radiol. 72, 1093–1098 (1999).
10.S. Kim, L. Loevner, H. Quon, E. Sherman, G. Weinstein, A. Kilger, and H. Poptani, “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 (2009).
11.S. Kim, L. A. Loevner, H. Quon, A. Kilger, E. Sherman, G. Weinstein, A. Chalian, and H. Poptani, “Prediction of response to chemoradiation therapy in squamous cell carcinomas of the head and neck using dynamic contrast-enhanced MR imaging,” AJNR Am. J. Neuroradiol. 31, 262–268 (2010).
12.J. A. Loncaster, B. M. Carrington, J. R. Sykes, A. P. Jones, S. M. Todd, R. Cooper, D. L. Buckley, S. E. Davidson, J. P. Logue, R. D. Hunter, and C. M. West, “Prediction of radiotherapy outcome using dynamic contrast enhanced MRI of carcinoma of the cervix,” Int. J. Radiat. Oncol., Biol., Phys. 54, 759–767 (2002).
13.B. Bone, B. K. Szabo, L. G. Perbeck, B. Veress, and P. Aspelin, “Can contrast-enhanced MR imaging predict survival in breast cancer?,” Acta Radiol. 44, 373–378 (2003).
14.R. M. Vlad, S. Brand, A. Giles, M. C. Kolios, and G. J. Czarnota, “Quantitative ultrasound characterization of responses to radiotherapy in cancer mouse models,” Clin. Cancer Res. 15, 2067–2075 (2009).
15.B. Banihashemi, R. Vlad, B. Debeljevic, A. Giles, M. C. Kolios, and G. J. Czarnota, “Ultrasound imaging of apoptosis in tumor response: Novel preclinical monitoring of photodynamic therapy effects,” Cancer Res. 68, 8590–8596 (2008).
16.G. J. Czarnota, M. C. Kolios, J. Abraham, M. Portnoy, F. P. Ottensmeyer, J. W. Hunt, and M. D. Sherar, “Ultrasound imaging of apoptosis: High-resolution non-invasive monitoring of programmed cell death in vitro, in situ and in vivo,” Br. J. Cancer 81, 520–527 (1999).
18.R. M. Vlad, N. M. Alajez, A. Giles, M. C. Kolios, and G. J. Czarnota, “Quantitative ultrasound characterization of cancer radiotherapy effects in vitro,” Int. J. Radiat. Oncol., Biol., Phys. 72, 1236–1243 (2008).
19.R. M. Vlad, “Quantitative ultrasound characterization of responses to radiotherapy in vitro and in vivo,” Ph.D. dissertation, University of Toronto, 2009.
20.R. P. H. Ian, F. Tannock, R. G. Bristow, and L. Harrington, The Basic Science of Oncology (McGraw-Hill, New York, 2004).
21.E. Namati, J. De Ryk, J. Thiesse, Z. Towfic, E. Hoffman, and G. McLennan, “Large image microscope array for the compilation of multimodality whole organ image databases,” Anat. Rec. 290, 1377–1387 (2007).
22.G. M. Clarke, S. Eidt, L. Sun, G. Mawdsley, J. T. Zubovits, and M. J. Yaffe, “Whole-specimen histopathology: A method to produce whole-mount breast serial sections for 3-D digital histopathology imaging,” Histopathology 50, 232–242 (2007).
23.R. S. Lazebnik, M. S. Breen, J. S. Lewin, and D. L. Wilson, “Automatic model-based evaluation of magnetic resonance-guided radio frequency ablation lesions with histological correlation,” J. Magn. Reson Imaging 19, 245–254 (2004).
24.L. S. Taylor, B. C. Porter, G. Nadasdy, P. A. di Sant’Agnese, D. Pasternack, Z. Wu, R. B. Baggs, D. J. Rubens, and K. J. Parker, “Three-dimensional registration of prostate images from histology and ultrasound,” Ultrasound Med. Biol. 30, 161–168 (2004).
26.G. J. Czarnota, R. Karshafian, A. Giles, B. Banihashemi, J. Lee, A. Cassie, and P. Burns, “Microbubble and ultrasound enhancement of radiation-induced tumour cell death in vivo,” Abstract, AIUM Official Proceedings, 2009, p. S31.
27.S. T. Cheung, D. P. Huang, A. B. Hui, K. W. Lo, C. W. Ko, Y. S. Tsang, N. Wong, B. M. Whitney, and J. C. Lee, “Nasopharyngeal carcinoma cell line (C666-1) consistently harbouring Epstein-Barr virus,” Int. J. Cancer 83, 121–126 (1999).
28.J. H. Li, M. Chia, W. Shi, D. Ngo, C. A. Strathdee, D. Huang, H. Klamut, and F. F. Liu, “Tumor-targeted gene therapy for nasopharyngeal carcinoma,” Cancer Res. 62, 171–178 (2002).
29.D. M. McGrath, R. M. Vlad, D. F. Warren, and K. K. Brock, “Fiducial markers for correlation of whole-specimen histopathology with MR imaging at 7 tesla,” Med. Phys. 37, 2321–2328 (2010).
30.J. M. Balter, K. K. Brock, K. L. Lam, D. Tatro, L. A. Dawson, D. L. McShan, and R. K. Ten Haken, “Evaluating the influence of setup uncertainties on treatment planning for focal liver tumors,” Int. J. Radiat. Oncol., Biol., Phys. 63, 610–614 (2005).
31.M. Garcia-Barros, F. Paris, C. Cordon-Cardo, D. Lyden, S. Rafii, A. Haimovitz-Friedman, Z. Fuks, and R. Kolesnick, “Tumor response to radiotherapy regulated by endothelial cell apoptosis,” Science 300, 1155–1159 (2003).
32.D. H. Abramson, A. C. Schefler, D. Almeida, and R. Folberg, “Optic nerve tissue shrinkage during pathologic processing after enucleation for retinoblastoma,” Arch. Ophthalmol. (Chicago) 121, 73–75 (2003).
33.H. Boonstra, J. W. Oosterhuis, A. M. Oosterhuis, and G. J. Fleuren, “Cervical tissue shrinkage by formaldehyde fixation, paraffin wax embedding, section cutting and mounting,” Virchows Arch. A: Pathol. Anat. Histopathol. 402, 195–201 (1983).
35.L. A. Wirtzfeld, K. C. Graham, A. C. Groom, I. C. Macdonald, A. F. Chambers, A. Fenster, and J. C. Lacefield, “Volume measurement variability in three-dimensional high-frequency ultrasound images of murine liver metastases,” Phys. Med. Biol. 51, 2367–2381 (2006).
36.R. M. Vlad, G. J. Czarnota, A. Giles, M. D. Sherar, J. W. Hunt, and M. C. Kolios, “High-frequency ultrasound for monitoring changes in liver tissue during preservation,” Phys. Med. Biol. 50, 197–213 (2005).
37.B. L. McFarlin, W. D. O’Brien, Jr., M. L. Oelze, J. F. Zachary, and R. C. White-Traut, “Quantitative ultrasound assessment of the rat cervix,” J. Ultrasound Med. 25, 1031–1040 (2006).
38.M. L. Oelze, W. D. O’Brien, Jr., J. P. Blue, and J. F. Zachary, “Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging,” IEEE Trans. Med. Imaging 23, 764–771 (2004).
40.C. J. Lightdale and K. G. Kulkarni, “Role of endoscopic ultrasonography in the staging and follow-up of esophageal cancer,” J. Clin. Oncol. 23, 4483–4489 (2005).
41.G. J. Czarnota, N. Papanicolau, J. Lee, R. Karshafian, A. Giles, and M. C. Kolios, “Novel low-frequency ultrasound detection of apoptosis in vitro and in vivo [abstract],” Ultrason. Imaging 29, 237–238 (2008).
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