Peer-Reviewed Publication
Pract Radiat Oncol2026;16(4):e332-e341.January 1, 2026Journal Article

A Simulation-Free Radiation Therapy Workflow Using Synthetic Computed Tomography Generated from Diagnostic Magnetic Resonance Imaging for Personalized Hippocampal-Sparing Whole-Brain Treatment.

Liyuan Chen1, Zohaib Iqbal2, Weiguo Lu1, Chenyang Shen1, Tu Dan2, Michael Dohopolski1, Zabi Wardak2, David Sher2, Shahed Badiyan2, Robert Timmerman2, David Parsons2, Andrew Godley2, Steve Jiang1, Mu-Han Lin3
1Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas; Medical Artificial Intelligence and Automation (MAIA) Lab, UT Southwestern Medical Center, Dallas, Texas.
2Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas.
3Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, Texas; Medical Artificial Intelligence and Automation (MAIA) Lab, UT Southwestern Medical Center, Dallas, Texas. Electronic address: mu-han.lin@utsouthwestern.edu.

Abstract

PURPOSE: The conventional computed tomography (CT)-based consultation to simulation process for hippocampal-sparing whole-brain radiation therapy (HS-WBRT) typically requires several days, delaying treatment initiation for patients who would benefit from expedited care. We developed a simulation-free, magnetic resonance imaging (MRI)-only workflow for HS-WBRT to accelerate treatment start and main…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.