2019 AAPM Annual Meeting
Back to session list

Session Title: Recent Advances in Imaging for Treatment Verification
Question 1: Currently, the best treatment verification imaging modality for any RT application:
Reference:Goyal, S and Kataria, T. Image guidance in Radiation Therapy: Techniques and Applications, Radiology Research and Practice, 705604, 2014.
Choice A:is CBCT
Choice B:is surface imaging
Choice C:is MRI
Choice D:varies depending on numerous factors such as anatomical site, treatment goals, treatment type, patient characteristics, and resource availability
Question 2: Ionizing radiation in surface imaging makes it undesirable compared to other in-room imaging techniques:
Reference:AAPM TG-147: "Quality assurance for nonradiographic radiotherapy localization and positioning systems: Report of Task Group 147"
Choice A:True
Choice B:False
Question 3: Local control of frameless SRS with surface imaging has been shown to be equivalent to frame-based SRS:
Reference:Pham, N.L.L., Reddy, P.V., Murphy, J.D., Sanghvi, P., Hattangadi-Gluth, J.A., Kim, G.G.Y., Cervino, L., Pawlicki, T. and Murphy, K.T.,"Frameless, real-time, surface imaging-guided radiosurgery: update on clinical outcomes for brain metastases." Translational Cancer Research 3.4 (2014): 351-357.
Choice A:True
Choice B:False
Question 4: CBCT:
Reference: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;79:181-193.
Choice A:CANNOT be used for dose calculation as HU in CBCT is not accurate and it cannot provide electron density information at all;
Choice B:Can ONLY be acquired either before or after radiation beam delivery;
Choice C:Can provide not only patients’ updated anatomy, but also electron density information for adaptive therapy with appropriate consideration of HU in CBCT;
Choice D:Does not play any role in intra-fractional motion management.
Question 5: For CBCT, recent machine learning-enabled developments have potential:
Reference:Wang G, Ye JC, Mueller K, Fessler JA. Image reconstruction is a new frontier of machine learning. Ieee T Med Imaging. 2018;37(6):1289-1296.
Choice A:Mitigating scatter artifacts;
Choice B:Facilitating motion compensated reconstructions;
Choice C:Improving soft tissue contrast;
Choice D:Reducing image noise;
Choice E:All of the above.
Question 6: The impact of a magnetic field on the delivered dose distributions includes:
Reference:Raaijmakers et. al. “Magnetic-field-induced dose effects in MR-guided radiotherapy systems: dependence on the magnetic field strength”. Phys. Med. Biol. 53 (2008) 909–923
Choice A:An asymmetrical penumbra
Choice B:Dose increase at the distal side of the treatment beam
Choice C:Dose increase at tissue-air interfaces
Choice D:All of the above
Choice E:None of the above
Back to session list