Evidence map›Paper›PMID 41767107›Full record

ArticlePhysics and imaging in radiation oncology2026

A combined automatic organ at risk contouring and synthetic Computed Tomography solution for pelvic Magnetic Resonance-only radiotherapy.

Jonathan J Wyatt, Sandeep Kaushik, Cristina Cozzini, Bernadett Kolozsvári, Borbála Deák-Karancsi, Rachel A Pearson, Steven Petit, Marta Capala, Juan A Hernandez-Tamames, Katalin Hideghéty and 4 more

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Article in Physics and imaging in radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Jonathan J WyattTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.
Sandeep KaushikGE Healthcare, Munich, Germany.
Cristina CozziniGE Healthcare, Munich, Germany.
Bernadett KolozsváriGE Healthcare, Budapest, Hungary.
Borbála Deák-KarancsiGE Healthcare, Budapest, Hungary.
Rachel A PearsonTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.
Steven PetitErasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, The Netherlands.
Marta CapalaErasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, The Netherlands.
Juan A Hernandez-TamamesDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Katalin HideghétyDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Ross J MaxwellTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.
László RuskóGE Healthcare, Budapest, Hungary.
Florian WiesingerGE Healthcare, Munich, Germany.
Hazel M McCallumTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Purpose: Magnetic Resonance (MR)-only radiotherapy improves treatment accuracy and efficiency but requires a synthetic Computed Tomography (sCT) for dose calculations. Automatic MR-based Organs At Risk (OARs) contouring could further improve consistency and efficiency. A combined automatic MR OAR contouring and sCT solution has been developed, with each component separately validated. This study aimed to evaluate this combined MR-only workflow against a manual MR-CT workflow for pelvic cancers. Materials and Methods: Radiotherapy MR and CT scans were acquired for 20 patients (10 prostate, 4 rectum, 6 anus cancer). The MR-only workflow used sCTs and automatic contours for the bladder, bowel bag, femoral heads, rectum, penile bulb, prostate, seminal vesicles and urethra along with manual target contours to optimise a MR-only plan. Doses were compared to the current clinical standard of deformably registered CT and manual MR OAR contours (MR-CT). Results: Mean dose differences were Conclusions: The automatic MR OAR contouring and sCT workflow had similar dose differences to manual inter-observer variability for all OARs except the lower dose bladder and rectum volumes (prostate patients only) and bowel bag (prostate and ano-rectal patients). This combined OAR contouring and MR-only workflow could enable more efficient and consistent pelvic radiotherapy treatment.

Indexed as

Automatic Contouringdeep learningMagnetic ResonanceMR-only radiotherapyPelvic cancersSynthetic Computed Tomography

Identifiers

PMID41767107
PMCPMC12936674

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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.