| Question 1: Spectroscopic MRI complements conventional MRI because: |
| Reference: | Cordova et al, 'Whole-brain spectroscopic MRI biomarkers identify infiltrating margins in glioblastoma patients.' Neuro Oncol. 2016 Aug;18(8):1180-9. doi: 10.1093/neuonc/now036. |
| Choice A: | It has a lower voxel size, showing anatomy at a higher resolution |
| Choice B: | Is better in defining tumor infiltration |
| Choice C: | Improves delineation of critical structures |
| Choice D: | Enables real-time visualization of dose deposition in the patient |
| Question 2: Preferred registration of sMRI to simulation CT is: |
| Reference: | Gurbani et al,'The Brain Imaging Collaboration Suite (BrICS): A Cloud Platform for Integrating Whole-Brain Spectroscopic MRI into the Radiation Therapy Planning Workflow' Tomography. 2019 Mar;5(1):184-191. |
| Choice A: | Rigid registration |
| Choice B: | Deformable registration |
| Choice C: | No registration is needed |
| Choice D: | Depends on the metabolic abnormality location |
| Question 3: Hepatobiliary iminodiacetic acid (HIDA) scan is a type of: |
| Reference: | Lambie, H., A. M. Cook, A. F. Scarsbrook, J. P. A. Lodge, P. J. Robinson, and F. U. Chowdhury. "Tc99m-hepatobiliary iminodiacetic acid (HIDA) scintigraphy in clinical practice." Clinical radiology 66, no. 11 (2011): 1094-1105. |
| Choice A: | Magnetic resonance imaging (MRI) |
| Choice B: | Nuclear Medicine imaging |
| Choice C: | Ultrasound imaging |
| Choice D: | Computed tomography (CT) imaging |
| Choice E: | None of the above |
| Question 4: In this presentation, FLIGHT is: |
| Reference: | Long, David E., Mark Tann, Ke Colin Huang, Gregory Bartlett, James O. Galle, Yukie Furukawa, Mary Maluccio, John A. Cox, and Susannah G. Ellsworth. "Functional liver image guided hepatic therapy (FLIGHT) with hepatobiliary iminodiacetic acid (HIDA) scans." Practical radiation oncology 8, no. 6 (2018): 429-436. |
| Choice A: | A new website for airline ticket booking |
| Choice B: | Conventional 3D conformal treatment |
| Choice C: | Functional image guided therapy for different treatment sites |
| Choice D: | A planning technique for liver treatment using functional images |
| Choice E: | None of the above |
| Question 5: All of the following are essential components of generating 4DCT-ventilation images except. |
| Reference: | Guerrero T, Sanders K, Castillo E, et al. Dynamic ventilation imaging from four-dimensional computed tomography. Phys Med Biol. 2006;51(4):777-791. |
| Choice A: | 4DCT data |
| Choice B: | Deformable image registration |
| Choice C: | Contrast CT images |
| Choice D: | Lung segmentation |
| Question 6: Which of these metrics provided the best prediction of radiation pneumonitis. |
| Reference: | Vinogradskiy Y, Castillo R, Castillo E, et al. Use of 4-Dimensional Computed Tomography-Based Ventilation Imaging to Correlate Lung Dose and Function With Clinical Outcomes. International Journal of Radiation Oncology Biology Physics. 2013;86(2):366-371. |
| Choice A: | Dose metrics |
| Choice B: | Functional imaging metrics |
| Choice C: | Metrics that combine dose and functional imaging |
| Question 7: What are some of the motion management strategies currently being utilized clinically for proton therapy? |
| Reference: | Consensus Guidelines for Implementing Pencil-Beam Scanning Proton Therapy for Thoracic Malignancies on Behalf of the PTCOG Thoracic and Lymphoma Subcommittee, Chang JY, Zhang X, Knopf A, et al. International Journal of Radiation Oncology, Biology, Physics. 2017; 99(1):41-50. |
| Choice A: | breath-hold |
| Choice B: | phase gating |
| Choice C: | using repainting machine models |
| Choice D: | all of the above |
| Question 8: What is/are the factor/s that will have the most impact on the motion interplay effect in spot scanning proton therapy? |
| Reference: | Motion Interplay as a Function of Patient Parameters and Spot Size in Spot Scanning Proton Therapy for Lung Cancer, Grassberger C, Dowdell S, Lomax A, et al. International Journal of Radiation Oncology*Biology*Physics. 2013; 86(2):380-386; On the interplay effects with proton scanning beams in stage III lung cancer. ; Li Y, Kardar L, Li X, et al. Medical Physics. 2014; 41(2):021721. |
| Choice A: | number of beam angles |
| Choice B: | spot size |
| Choice C: | particle accelerator type |
| Choice D: | number of treatment fractions |
| Choice E: | all of the above |
| Question 9: Clear benefits to utilization of quantitative imaging for tumor target definition include. |
| Reference: | Press RH, Shu HG, Shim H, Mountz JM, Kurland BF, Wahl RL, Jones EF, Hylton NM, Gerstner ER, Nordstrom RJ, Henderson L, Kurdziel KA, Vikram B, Jacobs MA, Holdhoff M, Taylor E, Jaffray DA, Schwartz LH, Mankoff DA, Kinahan PE, Linden HM, Lambin P, Dilling TJ |
| Choice A: | better image resolution |
| Choice B: | expert knowledge of the disease process |
| Choice C: | utilization of algorithmically segmented quantitative imaging |
| Choice D: | improved integration into treatment planning objectives |
| Question 10: Barriers to Implementing quantitative imaging in radiation therapy treatment planning include all of the following except: |
| Reference: | Press RH, Shu HG, Shim H, Mountz JM, Kurland BF, Wahl RL, Jones EF, Hylton NM, Gerstner ER, Nordstrom RJ, Henderson L, Kurdziel KA, Vikram B, Jacobs MA, Holdhoff M, Taylor E, Jaffray DA, Schwartz LH, Mankoff DA, Kinahan PE, Linden HM, Lambin P, Dilling TJ, Rubin DL, Hadjiiski L, Buatti JM. The Use of Quantitative Imaging in Radiation Oncology: A Quantitative Imaging Network (QIN) Perspective. Int J Radiation Onc Bio Physics. 2018 Nov 15;102(4):1219-1235. doi: 10.1016/j.ijrobp.2018.06.023. Epub 2018 Jun 30. Review. PMID: 29966725 |
| Choice A: | Harmonization of imaging protocols |
| Choice B: | Vendor specific images reconstruction differences |
| Choice C: | Increased time required for segmenting targets |
| Choice D: | Physician acceptance of algorithmically derived targets |
