(Tuesday, 7/31/2018) 7:30 AM - 9:30 AM
Room: Karl Dean Ballroom C
Longitudinal imaging plays a vital role in clinical oncology management. For radiation therapy, more specifically, longitudinal imaging is critical for treatment response assessment as well as normal tissue response assessment. In addition, imaging may play a dynamic role during therapy for positioning and for therapy adaptation that is becoming much more available with real time daily imaging using both CT and MR.
Our symposium will include the role that longitudinal imaging plays in: 1) multiparametric MRI in prostate cancer 2) spectroscopic MRI (sMRI) of the whole brain in glioblastoma 3) radiomics-based response analysis for breast, lung and head and neck cancer 4) quantitative assessment of normal lung ventilation after radiation therapy and 5) PET/CT quantitative analysis in head and neck cancer. The common needs to develop improved tools that improve consistency and automation of analyses will be identified throughout the discussions. Issues specific to imaging modalities including CT, PET and MRI will be reviewed. Issues related to motion, image acquisition and registration will be addressed. Attention to both review the clinical potential and well as the gaps creating barriers to practical clinical implementation will be highlighted.
The overall value proposition that longitudinal quantitative imaging assessment and analysis can drive oncologic decision making and radiation therapy decision making more specifically will be supported with attention to both the technical potential as well as barriers to implementation.
Learning Objectives:
1. Identify the value of longitudinal assessment at multiple sites of disease including prostate, lung, head and neck, brain and breast.
2. Identify the role of longitudinal imaging is assessment of normal tissue function, specifically lung
3. Identify radiation therapy treatment strategies that use the quantitative longitudinal data
4. Identify the importance of tools for quantitative imaging analysis
5. Identify the importance of standardization and harmonization of imaging acquisition, image processing and analysis to fully realize the potential of quantitative imaging for oncologic decision making.
Funding Support, Disclosures, and Conflict of Interest: John Buatti: U01 CA140206 Ruijiang Li: 5R01CA193730-03 and 1R01CA222512-01 John Bayouth:R01 CA166703 Andrey Fedorov: U24 CA180918, U24 CA194354, U01 CA190234, P41 EB015898 Siemens syngo.via research project Hui-Kuo Shu: U01 CA172027 and R01 CA214557
Handouts
Keywords
Not Applicable / None Entered.
Taxonomy
Not Applicable / None Entered.
Contact Email
