Meeting Banner
Abstract #2210

Developing a Predictive Model Using MRI Radiomics for Online Adaptation Strategies in MRI-Guided Radiotherapy for Prostate Cancer

Cindy Xue1, Jing Yuan1, Darren MC Poon2, Bin Yang3, Sin-Ting Chiu4, and Oi Lei Wong1
1Research Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, 2Comprehensive Oncology Centre, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, 3Medical Physics Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong, 4Radiotherapy Department, Hong Kong Sanatorium and Hospital, Happy Valley, Hong Kong

Synopsis

Keywords: MR-Guided Radiotherapy, MR-Guided Radiotherapy, radiomics, machine learning model

Motivation: Changes in inter-fractional MRI radiomics can reveal some information to assist the objective online MRI-guided RT (MRgRT) plan adaptation.

Goal(s): The primary goal is to develop an MRI radiomics model that could assist in determining the appropriate adaptation strategy based on daily-MRI images

Approach: Data from 53 patients undergoing MRgRT were analyzed, extracting 1023 radiomics features. A machine learning model that incorporated reliable change index was built to determine adaptation strategies, and validated through independent testing sets.

Results: The model performed well, and demonstrated that MRI radiomics has the potential to assist online MRgRT plan adaptation quantitatively and objectively in localized PC patients.

Impact: The results of this study could assist clinicians' decision-making in MRI-guided radiotherapy (MRgRT) for localized prostate cancer, enhancing treatment precision and minimizing side effects. Building MRI radiomics models demonstrates the possibility for personalized treatment plans, ultimately improving patient outcomes.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords