Michelle Savacool
University of Washington
7 Papers
1 Citations
Michelle Savacool is an academic researcher from University of Washington. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications.
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Papers
Adaptive Radiation Therapy: A Review of CT-based Techniques.
Elizaveta Lavrova,Matthew D. Garrett,Yi-Fang Wang,Christine Chin,Carl D. Elliston,Michelle Savacool,Michael J. Price,Lisa A. Kachnic,David P. Horowitz +8 more
- 01 Jul 2023
TL;DR: Adaptive radiation therapy is a feedback process by which imaging information acquired over the course of treatment, such as changes in patient anatomy, can be used to reoptimize the treatment plan, with the end goal of improving target coverage and reducing treatment toxicity as discussed by the authors .
23
Impact of adapted radiotherapy schedules on bowel sparing in node-positive cervical cancer.
Matthew D. Garrett,Fiona Li,O. Lemus,Elizaveta Lavrova,Michelle Savacool,Michael J. Price,Lisa A. Kachnic,David P. Horowitz,Christine Chin +8 more
TL;DR: In this article , the authors evaluated the reduction in absorbed bowel dose using various adaptive RT schedules and found significant dosimetric advantages in bowel sparing over a conventional nonadapted technique, with greater sparing seen with more frequent replanning schedules.
3
Physician-driven artificial intelligence enabled planning for intraprostatic dose escalation in under ten minutes.
Kareem Rayn,Carl D. Elliston,Michelle Savacool,Israel Deutsch,Catherine S. Spina,Lisa A. Kachnic,James B. Yu +6 more
TL;DR: In this article , a prostate SBRT planning template was created using the Varian ETHOS treatment planning system (TPS) combined with an in-house RapidPlan prostate model, which was able to produce boosted internal PTV doses using autosegmented volumes.
Using Class-Solution Optimization and Knowledge-Based Planning, a Physician-Driven Treatment Planning Workflow Demonstrates Improved OAR-Sparing for EBRT of the Prostate
Michelle Savacool,Carl D. Elliston,I. Valencia Lozano,James Tam,S. Deutsch,L.A. Kachnic,Mandy Price +6 more
TL;DR: In this article , the authors developed a physician-driven treatment planning workflow using prostate cancer OA-TPS planning templates using knowledge-based plan (KBP) models to aid in dosimetric optimization.