Aerts HJ, et al. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat Commun. 2014;5:4006.
Google Scholar
Afshar-Oromieh A, et al. PET imaging with a [68Ga]gallium-labelled PSMA ligand for the diagnosis of prostate cancer: biodistribution in humans and first evaluation of tumour lesions. Eur J Nucl Med Mol Imaging. 2013;40:486–95.
Article
Google Scholar
Agasti SS, Rana S, Park MH, Kim CK, You CC, Rotello VM. Nanoparticles for detection and diagnosis. Adv Drug Deliv Rev. 2010;62:316–28.
Article
Google Scholar
Alaei P, Spezi E. Imaging dose from cone beam computed tomography in radiation therapy. Physica Med. 2015;31:647–58.
Article
Google Scholar
Alric C, et al. Gadolinium chelate coated gold nanoparticles as contrast agents for both x-ray computed tomography and magnetic resonance imaging. J Am Chem Soc. 2008;130:5908–15.
Article
Google Scholar
Barreto JA, O’Malley W, Kubeil M, Graham B, Stephan H, Spiccia L. Nanomaterials: applications in cancer imaging and therapy. Adv Mater. 2011;23:H18–40.
Article
Google Scholar
Brahme A. Individualizing cancer treatment: biological optimization models in treatment planning and delivery. Int J Radiat Oncol Biol Phys. 2001;49:327–37.
Article
Google Scholar
Brigger I, Dubernet C, Couvreur P. Nanoparticles in cancer therapy and diagnosis. Adv Drug Deliv Rev. 2002;54:631–51.
Article
Google Scholar
Butterworth KT, McMahon SJ, Currell FJ, Prise KM. Physical basis and biological mechanisms of gold nanoparticle radiosensitization. Nanoscale. 2012;4:4830–8.
Article
Google Scholar
Chang BK, Timmerman RD. Stereotactic body radiation therapy: a comprehensive review. Am J Clin Oncol. 2007;30:637–44.
Article
Google Scholar
Cole LE, Ross RD, Tilley JMR, Vargo-Gogola T, Roeder RK. Gold nanoparticles as contrast agents in x-ray imaging and computed tomography. Nanomedicine. 2015;10:321–41.
Article
Google Scholar
Cormode DP, et al. Atherosclerotic plaque composition: analysis with multicolor CT and targeted gold nanoparticles. Radiology. 2010;256:774–82.
Article
Google Scholar
Coulter JA, Hyland WB, Nicol J, Currell FJ. Radiosensitising nanoparticles as novel cancer therapeutics - pipe dream or realistic prospect? Clin Oncol. 2013;25:593–603.
Article
Google Scholar
Coulter JA, Butterworth KT, Jain S. Prostate cancer radiotherapy: potential applications of metal nanoparticles for imaging and therapy. Br J Radiol. 2015;88:20150256.
Article
Google Scholar
Detappe A, Kunjachan S, Drané P, Kotb S, Myronakis M, Biancur DE, Ireland T, Wagar M, Lux F, Tillement O, Berbeco R. Key clinical beam parameters for nanoparticle-mediated radiation dose amplification. Sci Rep. 2016;6:34040.
Article
Google Scholar
Fan Q, Nanduri A, Mazin S, Zhu L. Emission guided radiation therapy for lung and prostate cancers: a feasibility study on a digital patient. Med Phys. 2012;39:7140–52.
Article
Google Scholar
Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278:563–77.
Article
Google Scholar
Hahn MA, Singh AK, Sharma P, Brown SC, Moudgil BM. Nanoparticles as contrast agents for in vivo bioimaging: current status and future perspectives. Anal Bioanal Chem. 2011;399:3–27.
Article
Google Scholar
Hainfeld JF, Slatkin DN, Smilowitz HM. The use of gold nanoparticles to enhance radiotherapy in mice. Phys Med Biol. 2004;49:N309–15.
Article
Google Scholar
Hainfeld JF, Slatkin DN, Focella TM, Smilowitz HM. Gold nanoparticles: a new X-ray contrast agent. Br J Radiol. 2006;79:248–53.
Article
Google Scholar
Hainfeld JF, Dilmanian FA, Slatkin DN, Smilowitz HM. Radiotherapy enhancement with gold nanoparticles. J Pharm Pharmacol. 2008;60:977–85.
Article
Google Scholar
Han T, Mikell JK, Salehpour M, Mourtada F. Dosimetric comparison of Acuros XB deterministic radiation transport method with Monte Carlo and model-based convolution methods in heterogeneous media. Med Phys. 2011;38:2651–64.
Article
Google Scholar
Harrington KJ, et al. Guidelines for preclinical and early phase clinical assessment of novel radiosensitisers. Br J Cancer. 2011;105:628–39.
Article
Google Scholar
Hatton JA, et al. Does the planning dose-volume histogram represent treatment doses in image-guided prostate radiation therapy? assessment with cone-beam computerised tomography scans. Radiother Oncol. 2011;98:162–816.
Article
Google Scholar
Hoskin P, et al. Efficacy and safety of radium-223 dichloride in patients with castration-resistant prostate cancer and symptomatic bone metastases, with or without previous docetaxel use: a prespecified subgroup analysis from the randomised, double-blind, phase 3 ALSYMPCA trial. Lancet Oncol. 2014;15:1397–406.
Article
Google Scholar
Hoyer M, et al. Phase II study on stereotactic body radiotherapy of colorectal metastases. Acta Oncol. 2006;45:823–30.
Article
Google Scholar
Hyland WB, McMahon SJ, Butterworth KT, Cole AJ, King RB, Redmond KM, Prise KM, Hounsell AR, McGarry CK. Investigation into the radiobiological consequences of pre-treatment verification imaging with megavoltage X-rays in radiotherapy. Br J Radiol. 2014;87:20130781.
Article
Google Scholar
Jain S, et al. Cell-specific radiosensitization by gold nanoparticles at megavoltage radiation energies. Int J Radiat Oncol Biol Phys. 2011;79:531–9.
Article
Google Scholar
Johnson TRC, et al. Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007;17:1510–7.
Article
Google Scholar
Kim BY, Rutka JT, Chan WC. Nanomedicine. N Engl J Med. 2010;363:2434–43.
Article
Google Scholar
King RB, et al. An in vitro study of the radiobiological effects of flattening filter free radiotherapy treatments. Phys Med Biol. 2013;58:N83–94.
Article
Google Scholar
Krämer M, Scholz M. Treatment planning for heavy-ion radiotherapy: calculation and optimization of biologically effective dose. Phys Med Biol. 2000;45:3319–30.
Article
Google Scholar
Lambin P, et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer. 2012;48:441–6.
Article
Google Scholar
Lee N, Choi SH, Hyeon T. Nano-sized CT contrast agents. Adv Mater. 2013;25:2641–60.
Article
Google Scholar
Lin G, Zhang H, Huang L. Smart polymeric nanoparticles for cancer gene delivery. Mol Pharm. 2015;12:314–21.
Article
Google Scholar
Lin Y, McMahon SJ, Scarpelli M, Paganetti H, Schuemann J. Comparing gold nano-particle enhanced radiotherapy with protons, megavoltage photons and kilovoltage photons: a Monte Carlo simulation. Phys Med Biol. 2014;59:7675–89.
Article
Google Scholar
Ling CC, Humm J, Larson S, Amols H, Fuks Z, Leibel S, Koutcher JA. Towards multidimensional radiotherapy (MD-CRT): biological imaging and biological conformality. Int J Radiat Oncol Biol Phys. 2000;47:551–60.
Article
Google Scholar
Longmire M, Choyke PL, Kobayashi H. Clearance properties of nano-sized particles and molecules as imaging agents: considerations and caveats. Nanomedicine. 2008;3:703–17.
Article
Google Scholar
Lütje S, et al. PSMA ligands for radionuclide imaging and therapy of prostate cancer: clinical status. Theranostics. 2015;5:1388–401.
Article
Google Scholar
Marks LB, et al. Enhancing the role of case-oriented peer review to improve quality and safety in radiation oncology: executive summary. Pract Radiat Oncol. 2013;3:149–56.
Article
Google Scholar
McMahon SJ, et al. Nanodosimetric effects of gold nanoparticles in megavoltage radiation therapy. Radiother Oncol. 2011;100:412–6.
Article
Google Scholar
McMahon SJ, et al. Cellular signalling effects in high precision radiotherapy. Phys Med Biol. 2015;60:4551–64.
Article
Google Scholar
Moffat BA, et al. Functional diffusion map: a noninvasive MRI biomarker for early stratification of clinical brain tumor response. Proc Natl Acad Sci USA. 2005;102:5524–9.
Article
Google Scholar
Nam J, Thaxton CS, Mirkin CA. Nanoparticle-based bio-bar codes for the ultrasensitive detection of proteins. Science. 2003;301:1884–6.
Article
Google Scholar
Oelfke U. Magnetic resonance imaging-guided radiation therapy: technological innovation provides a new vision of radiation oncology practice. Clin Oncol. 2015;27:495–7.
Article
Google Scholar
Panyama J, Labhasetwara V. Biodegradable nanoparticles for drug and gene delivery to cells and tissue. Adv Drug Deliv Rev. 2003;55:329–47.
Article
Google Scholar
Particle Therapy Co-Operative Group (PTCOG). Facilities in Operation. 2016a. http://www.ptcog.ch/index.php/facilities-in-operation. Accessed 22 June 2016.
Particle Therapy Co-Operative Group (PTCOG). Facilities under Construction. 2016b. http://www.ptcog.ch/index.php/facilities-under-construction. Accessed 22 June 2016.
Perini R, Choe R, Yodh AG, Sehgal C, Divgi CR, Rosen MA. Non-invasive assessment of tumor neovasculature: techniques and clinical applications. Cancer Metastasis Rev. 2008;27:615–30.
Article
Google Scholar
Porcel E, et al. Gadolinium-based nanoparticles to improve the hadrontherapy performances. Nanomedicine. 2014;10:1601–8.
Google Scholar
Ramm U, Damrau M, Mose S, Manegold KH, Rahl CG, Böttcher HD. Influence of CT contrast agents on dose calculations in a 3D treatment planning system. Phys Med Biol. 2001;46:2631–5.
Article
Google Scholar
Reischauer C, et al. Bone metastases from prostate cancer: assessing treatment response by using diffusion-weighted imaging and functional diffusion maps-initial observations. Radiology. 2010;257:523–31.
Article
Google Scholar
Sancey L, et al. The use of theranostic gadolinium-based nanoprobes to improve radiotherapy efficacy. Br J Radiol. 2014;87:20140134.
Article
Google Scholar
Schlomka JP, et al. Experimental feasibility of multi-energy photon-counting K-edge imaging in pre-clinical computed tomography. Phys Med Biol. 2008;53:4031–47.
Article
Google Scholar
Schuemann J, et al. Roadmap to clinical use of gold nanoparticles for radiation sensitization. Int J Radiat Oncol Biol Phys. 2016;94:189–205.
Article
Google Scholar
Schweitzer AD, et al. Melanin-covered nanoparticles for protection of bone marrow during radiation therapy of cancer. Int J Radiat Oncol Biol Phys. 2010;78:1494–502.
Article
Google Scholar
Shilo M, Reuveni T, Motiei M, Popovtzer R. Nanoparticles as computed tomography contrast agents: current status and future perspectives. Nanomedicine. 2012;7:257–69.
Article
Google Scholar
Srinivasan K, Mohammadi M, Shepherd J. Applications of linac-mounted kilovoltage cone-beam computed tomography in modern radiation therapy: a review. Pol J Radiol. 2014;79:181–93.
Article
Google Scholar
Sun C, Lee JSH, Zhang M. Magnetic nanoparticles in MR imaging and drug delivery. Adv Drug Deliv Rev. 2008;60:1252–65.
Article
Google Scholar
Thorsten RCJ, et al. Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007;17:1510–7.
Article
Google Scholar
Tse BW, et al. PSMA-targeting iron oxide magnetic nanoparticles enhance MRI of preclinical prostate cancer. Nanomedicine. 2015;10:375–86.
Article
Google Scholar
van Dijk LV et al (2016) CT image biomarkers to improve patient-specific prediction of radiation induced xerostomia and sticky saliva. Radiother Oncol (In Press).
van Herk M. Errors and margins in radiotherapy. Semin Radiat Oncol. 2004;14:52–64.
Article
Google Scholar
Walmsley GG, et al. Nanotechnology in bone tissue engineering. Nanomedicine. 2015;11:1253–63.
Google Scholar
Wang AZ, Langer R, Farokhzad OC. Nanoparticle Delivery of Cancer Drugs. Annu Rev of Med. 2012;63:185–98.
Article
Google Scholar
Wang AZ, Tepper JE. Nanotechnology in radiation oncology. J Clin Oncol. 2014;32:2879–85.
Article
Google Scholar
Weichselbaum RR, Hellman S. Oligometastases revisited. Nat Rev Clin Oncol. 2011;8:378–82.
Google Scholar
Wilkins A, et al. Hypofractionated radiotherapy versus conventionally fractionated radiotherapy for patients with intermediate-risk localised prostate cancer: 2-year patient-reported outcomes of the randomised, non-inferiority, phase 3 CHHiP trial. Lancet Oncol. 2015;16:1605–16.
Article
Google Scholar
Yamada S, et al. Radiotherapy treatment planning with contrast-enhanced computed tomography: feasibility of dual-energy virtual unenhanced imaging for improved dose calculations. Radiat Oncol. 2014;9:168.
Article
Google Scholar
Yang J, Yamamoto T, Mazin SR, Graves EE, Keall PJ. The potential of positron emission tomography for intratreatment dynamic lung tumor tracking: a phantom study. Med Phys. 2014;41:021718.
Article
Google Scholar
Yue J, et al. Lipiodol: a potential direct surrogate for cone-beam computed tomography image guidance in radiotherapy of liver tumor. Int J Radiat Oncol Biol Phys. 2012;82:834–41.
Article
Google Scholar