Evidence map›Paper›PMID 37345212›Full record

ArticleJournal of applied clinical medical physics2023

Clinical feasibility of a commercially available MRI-only method for radiotherapy treatment planning of the brain.

Iiro Ranta, Pauliina Wright, Sami Suilamo, Reko Kemppainen, Gerald Schubert, Mika Kapanen, Jani Keyriläinen

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 5 institutions in 2 countries.

Iiro RantaDepartment of Physics and Astronomy, University of Turku, Turku, Finland.
Pauliina WrightDepartment of Medical Physics, Turku University Hospital, Turku, Finland.
Sami SuilamoDepartment of Medical Physics, Turku University Hospital, Turku, Finland.
Reko KemppainenHUS Diagnostic Center, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Gerald SchubertPhilips, Clinical Science MR-Therapy, Best, The Netherlands.
Mika KapanenDepartment of Medical Physics, Medical Imaging Center, Tampere University Hospital, Tampere, Finland.
Jani KeyriläinenDepartment of Physics and Astronomy, University of Turku, Turku, Finland.
Turku University Hospital · FIHospital District of Helsinki and Uusimaa · FIPhilips (Netherlands) · NLTampere University · FIUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvancements in deep-learning based synthetic computed tomography (sCT) image conversion methods have enabled the development of magnetic resonance imaging (MRI)-only based radiotherapy treatment planning (RTP) of the brain. PURPOSE: This study evaluates the clinical feasibility of a commercial, deep-learning based MRI-only RTP method with respect to dose calculation and patient positioning verification performance in RTP of the brain.

methodsClinical validation of dose calculation accuracy was performed by a retrospective evaluation for 25 glioma and 25 brain metastasis patients. Dosimetric and image quality of the studied MRI-only RTP method was evaluated by a direct comparison of the sCT-based and computed tomography (CT)-based external beam radiation therapy (EBRT) images and treatment plans. Patient positioning verification accuracy of sCT images was evaluated retrospectively for 10 glioma and 10 brain metastasis patients based on clinical cone-beam computed tomography (CBCT) imaging.

resultsAn average mean dose difference of D

conclusionsIn terms of dose calculation and patient positioning accuracy, the studied MRI-only method demonstrated its clinical feasibility for RTP of the brain. The results encourage the use of the studied method as part of a routine clinical workflow.

Indexed as

Brain NeoplasmsGliomaRadiotherapy, Intensity-ModulatedBrainFeasibility StudiesHumansMagnetic Resonance ImagingRadiotherapy DosageRadiotherapy Planning, Computer-AssistedRetrospective Studiesbrain radiotherapyMRI-onlyRTP

Identifiers

PMID37345212
PMCPMC10476982
OpenAlexW4381598781

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Registered trials

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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.