# Development and implementation of an MRI‐only simulation, planning, and treatment workflow for prostate radiotherapy using synthetic CT on MR‐linac

**Authors:** Reza Reiazi, Yao Ding, Sarath Vijayan, Jinzhong Yang, Ergys Subashi, Yao Zhao, Belinda M. Lee, Hunter L. Emory, Vi T. Dinh, Greg L. Swiedom, Jie Deng, Mu‐Han Lin, Peter Balter, Rajat J. Kudchadker, Elaine E. Cha, Seungtaek Choi, Yusung Kim, Eun Young Han, Surendra Prajapati

PMC · DOI: 10.1002/acm2.70499 · Journal of Applied Clinical Medical Physics · 2026-02-09

## TL;DR

This study shows that using synthetic CT from MRI data is a feasible and accurate method for prostate cancer radiotherapy, eliminating the need for traditional CT scans.

## Contribution

The paper introduces a clinically feasible MR-only workflow for prostate radiotherapy using synthetic CT, validated for dosimetric accuracy.

## Key findings

- Synthetic CT dose calculations showed high agreement with reference CT (±2% in gamma analysis).
- Gamma index pass rates exceeded 95% for all comparisons, confirming dosimetric accuracy.
- The workflow was successfully tested in a dry run, demonstrating clinical feasibility.

## Abstract

We evaluated the feasibility of a magnetic resonance (MR)‐only simulation, planning, and treatment (MROSPT) workflow for prostate cancer patients using synthetic computed tomography (sCT) generated from magnetic resonance imaging (MRI) data. By validating sCT‐based dose calculations, we aimed to streamline radiotherapy workflows, eliminate the need for CT simulation, and enable reliable clinical implementation of MR‐based radiotherapy for MR‐linac (MRL).

We developed a comprehensive workflow encompassing the entire process from initial consultation to treatment delivery. After developing the workflow, a retrospective dosimetric validation study was performed on nine men with prostate cancer. They underwent CT and MRI simulations, and sCTs were generated from the MRI data. Contours and intensity‐modulated radiation therapy treatment plans were created on the reference simulation CT (rCT) and transferred to sCTs for dose‐calculation comparisons. Dosimetric accuracy was evaluated using gamma analysis (dose/distance; 2%/2mm). Bulk density sCTs (bCTs) were created by overriding organ density values with their mean (bulk) sCT‐determined densities. bCT based on sCT allows treatment planning directly on MRI for MRL workflow efficiency.

Minimal non‐bone Hounsfield units (HU)‐value differences between rCT and sCT (5.5 ± 2.9 HU for prostate) demonstrated the reliability of the sCT generation process. Dosimetric comparisons between treatment plans (rCT vs. sCT, rCT vs. bCT) showed agreement within ± 2% in gamma analysis, confirming robust accuracy. The gamma index pass rate for rCT versus sCT and rCT versus bCT were consistently > 95% using 2%/2 mm criteria. A dry run of the entire simulation‐to‐treatment workflow was successfully completed.

The MROSPT workflow using sCT is clinically feasible and dosimetrically accurate for prostate cancer patients. Dose calculations based on sCT demonstrated high dosimetric agreement with simulation CT, with no statistically significant differences across all evaluated metrics. These findings support the adoption of sCT‑based planning for prostate cancer radiotherapy and suggest its potential applicability in other anatomical regions especially in the pelvis. Integration of robust quality‑assurance processes and treatment‑delivery flexibility will further enhance its clinical utility.

## Linked entities

- **Diseases:** prostate cancer (MONDO:0005159)

## Full-text entities

- **Diseases:** prostate cancer (MESH:D011471)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12885750/full.md

## References

22 references — full list in the complete paper: https://tomesphere.com/paper/PMC12885750/full.md

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Source: https://tomesphere.com/paper/PMC12885750