Evidence map›Paper›PMID 40510312›Full record

ArticleJournal of biomedical physics & engineering2025

Evaluating the Effect of Co-Registered Diagnostic MR Images Based CT Simulation on Target Volume Delineation and Dose Distribution for Tomotherapy of Rectal Cancer.

Baranoosh Rahmani, Daryoush Shahbazi-Gahrouei, Mahnaz Roayaei

Abstract read
In one paragraph

Article in Journal of biomedical physics & engineering, 2025. 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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0cells of the map it votes in
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

3 authors.

Baranoosh RahmaniDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Daryoush Shahbazi-GahroueiDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Mahnaz RoayaeiDepartment of Radiation Oncology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Magnetic Resonance Imaging (MRI) has become a complementary imaging method for the treatment planning process due to the limitations of Computed Tomography (CT) imaging. Objective: This study aimed to assess the effect of co-registered MRI and CT (MRI/CT)-based target delineation on the dose to the target, small bowel, bladder, and femoral heads during Helical Tomotherapy (HT). Material and Methods: In this cross-sectional prospective study, MRI in a prone position were obtained for 12 patients with rectal cancer at one-day intervals with simulation CT. Following the co-registration process with the deformable algorithm, target volumes are defined. Gross Tumor Volume (GTV), Clinical Target Volume (CTV), and Planning Target Volume (PTV) were delineated for each CT and MRI/CT. Results: GTV, CTV, and PTV mean values were significantly higher in the CT-based target delineation method than those in the MRI/CT-based method. In MRI/ CT-based plans, the mean HI value was significantly lower, and the mean Conformity Index (CI) value was significantly higher than that in CT-based plans. In a small bowl, the most of dosimetric parameters (D Conclusion: Co-registered MRI/CT-based treatment planning can produce better dose coverage for the target and reduce the delivered dose to the Organs at Risk (OARs) when compared to CT-based planning.

Indexed as

Computed TomographyHelical TomotherapyMagnetic Resonance ImagingRadiotherapyRectal Neoplasms

Identifiers

PMID40510312
PMCPMC12153486

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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.