At meetings end, my brain is jam packed with medical physics and lots of wonderful new information. The meeting was nothing if not
educational, and notably collaborative as well. Both
organizations played active, supportive roles in the sessions and invited a tremendous
group
of speakers. Representatives from so many different disciplines
commented on how excited they were to be talking to members of
different
fields and sub-fields. For a first time joint meeting it came together
brilliantly.
Although there were many talks that I couldn't cover, I did want to make quick note of one thing I didn't have time to go into detail about.
A group of talks on moving tumors showed some of the most cutting edge and most crucial advances presented at the meeting. In all types of cancer therapy, but especially proton therapy, knowing the location of a tumor is essential to efficiently delivering a dose of radiation or particles. Tumors can shift and move over days, as the patient changes position, or in the case of lung cancer every time the patient breaths. There are different ways to target moving tumors: you can follow the tumor with the beam, turn the beam on and off as the tumor moves in and out of the beam's path, strike the entire area in which the tumor moves (but this poses a risk to more healthy tissue), or try and time the tumor's movement to the movement of something else like the patient's diaphragm and move the beam in sync with that. Of course all of these rely on how you observe the tumor's motion which is no easy task. There are a handful of imaging options, but none of them perfect; it's hard to image the tumor and deliver treatment at the same time, or to see the exact boundaries of many tumors. In some cases doctors can use injected bio markers to identify the tumor, but this is also limited to bio markers that are available. You can also try to predict the path of the tumor, and scientists are working on software programs to generate a projected path of a tumor based on measurements of its unique motion. An ideal system will incorporate more than one of these methods, and link them together into a comprehensive model that changes and adapts to the tumor's location in real time.
The title of this year's meeting was "Frontiers in
Quantitative Imaging for Cancer Detection and Treatment," and I must say that
the entire thing was sobering. I'm used to attending basic research science
talks, where the stakes are not nearly as high as they are for many of the
people at this conference. It was very inspiring to see so many motivated,
passionate people actively working toward solutions to all these problems. Can't wait for next year.



