Presented by Vishruta Dumane, PhD, DABR
Associate Professor, Quality Assurance Lead Physicist
Icahn School of Medicine at Mount Sinai
Medical Dosimetry Program Director
Mount Sinai Center for Radiation Sciences at Stony Brook University
Clinical Associate Professor, School of Health Professions, Stony Brook University

Knowledge-based planning (KBP) is an approach that is not only emerging as the mainstream method of treatment planning in many clinics but is also the basis of improving treatment planning quality and efficiency among users. Clinics are also using these approaches for standardization. Different types of KBP approaches can be used. One of them is the approach that uses the traditional principal component analysis to relate the patient’s anatomical features with the resulting plan dosimetry and the other approaches use learning methodologies such as deep learning and reinforcement learning. In this session we will be focusing on the traditional approaches that can be implemented clinically using commercial software made available through standard treatment planning systems from basics to clinical implementation.

Learner Outcomes:

1. Explain the basics of how RapidPlan works
2. Know how a model is trained
3. Understand outliers and their impact
4. Explain model evaluation based on statistics such as regression and residual plots
5. Understand the impact of constraint tuning
6. Explain model validation and testing

Presenter:
Vishruta Dumane, PhD, DABR, is the Medical Dosimetry Program Director at the Mount Sinai Center for Radiation Sciences Education at Stony Brook University. She is also Quality Assurance Lead Physicist and Associate Professor of Radiation Oncology at Icahn School of Medicine at Mount Sinai, and Clinical Associate Professor at Stony Brook University. She joined the Mount Sinai after completing her training at Memorial Sloan-Kettering Cancer Center in 2005. Her research focuses on the development of treatment planning approaches that are designed to cover the cancerous tumor volumes while maintaining minimum dose to critical organs, developing knowledge-based models for automated treatment planning for various treatment sites including mesothelioma, multiple cranial lesion stereotactic radiosurgery (SRS), gynecologic, prostate, head and neck cancer and cancers of the gastrointestinal tract. She has authored 62 peer-reviewed journal publications, conference proceedings and invited talks. Some of her contributions are key in the use of the deep inspiration breath hold (DIBH) maneuver to reduce low doses to critical organs such as the heart and the lungs while treating breast cancer with radiation, on combining three-dimensional conformal radiotherapy (3DCRT) and volumetric modulated arc therapy (VMAT) to improve regional nodal irradiation and on reducing the dose to organs in the supraclavicular region. She has also authored a book chapter on intensity-modulated radiation therapy (IMRT) for breast cancer and an award-winning article on optimizing treatment positioning to achieve better heart sparing for left-sided breast cancer cases. She is co-investigator on several clinical trials pertaining to the treatment of cancers related to the breast, lung, liver, and gynecologic. Dr. Dumane is a member of The American Association of Physicists in Medicine and The Radiological and Medical Physics Society of New York and is a two-time recipient of the RAMPS Young Investigator Award. In addition to her clinical and research activities, she is passionate about teaching treatment planning and medical dosimetry practices to students. 

Educational Level: Intermediate

ARRT CQR Credit Distribution
There is no credit distribution for this activity