Evidence map›Paper›PMID 42547918›Full record

ArticleJournal of applied clinical medical physics2026

Synthetic CT artifacts in MR-only brain radiotherapy: Clinical implementation experience.

Hyeri Lee, Ahmet S Ayan, Sasha Beyer, Dukagjin Blakaj, Dominic DiCostanzo, John C Grecula, Joshua Palmer, Raju Raval, Raj Singh, Evan Thomas and 4 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Hyeri LeeDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Ahmet S AyanDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-8554-5426
Sasha BeyerDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Dukagjin BlakajDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Dominic DiCostanzoDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.ORCID https://orcid.org/0000-0002-3222-7141
John C GreculaDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Joshua PalmerDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Raju RavalDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Raj SinghDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Evan ThomasDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Michael WeldonDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Xiangyu YangDepartment of Radiology, The Ohio State University, Columbus, Ohio, USA.
Wesley ZollerDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.
Nilendu GuptaDepartment of Radiation Oncology, The Ohio State University, Columbus, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) provides superior soft tissue contrast compared with CT and is essential for delineation of targets and organs at risk in brain radiotherapy. Because CT is traditionally required for dose calculation in radiation therapy, synthetic CT (sCT) generation from MRI has enabled the development of MR-only workflows. Prior studies have primarily focused on dosimetric equivalence between CT- and sCT-based treatment plans, with limited emphasis on practical implementation challenges encountered during clinical use. PURPOSE: This study aimed to share clinical experience implementing an MR-only brain radiotherapy workflow, with a focus on practical challenges encountered.

methodsTwenty-eight patients underwent a dedicated MR simulation protocol for sCT generation in addition to standard-of-care planning CT simulation. MRI acquisition was performed using an immobilization mask with a dedicated head coil positioned over the mask. The sCT protocol consisted of four sequences: T1 VIBE Dixon, T2 SPACE, PETRA, and TOF-MRA. Clinical treatment plans generated using the planning CT (pCT) for photon therapy were recalculated on the corresponding sCT datasets.

resultsTwenty-eight patients were scanned, and 25 synthetic CT datasets were successfully generated. Nine sCT datasets required rigid re-registration because of inter-sequence patient motion. Findings were categorized into workflow-related sCT challenges, including inter-sequence motion, suboptimal coil placement, and external localization marker interference, and algorithm-related imaging artifacts, including HU misclassification at tissue/bone/air interfaces and sCT degradation in post-operative anatomy with surgical meshes.

conclusionClinical implementation of a brain MR-only workflow identified two major categories of challenge: workflow-related sCT perturbations and algorithm-related imaging artifacts. This distinction has important implications for mitigation strategies. Case-specific sCT review, structured eligibility screening, and prospective site commissioning are essential for safe clinical deployment. Practical commissioning and per-patient QA checklists are provided as supplementary materials.

Indexed as

ArtifactsBrain NeoplasmsImage Processing, Computer-AssistedMagnetic Resonance ImagingRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedOrgans at RiskPrognosisRadiotherapy DosageRadiotherapy, Intensity-ModulatedMR‐only workflowquality assurancesynthetic CT

Identifiers

PMID42547918
PMCPMC13433486

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.