Evidence map›Paper›PMID 41465810›Full record

ArticleLife (Basel, Switzerland)2025

Multiscale Segmentation-Guided Diffusion Model for CBCT-to-CT Synthesis.

Yike Guo, Yi Luo, Hamed Hooshangnejad, Rui Zhang, Xue Feng, Quan Chen, Wilfred Ngwa, Kai Ding

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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

8 authors.

Yike GuoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287, USA.
Yi LuoDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287, USA.
Hamed HooshangnejadDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-1953-0568
Rui ZhangDivision of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN 55455, USA.
Xue FengDepartment of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA.ORCID 0000-0002-2181-9889
Quan ChenDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, AZ 85054, USA.
Wilfred NgwaDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287, USA.
Kai DingDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD 21287, USA.ORCID 0000-0002-8202-0173

Funding

Research EducationU54CA295337 · NCI · HOWARD UNIVERSITY · PI Rao Khan · 2024 to 2026
$5.4M
Spacer Enabled Robust Radiation Therapy (SERRT)R37CA229417 · NCI · JOHNS HOPKINS UNIVERSITY · PI DING, KAI · 2018 to 2021
$1.5M
CaREER: Cancer Research Education Excellence in RadiotherapyR25CA288263 · NCI · JOHNS HOPKINS UNIVERSITY · PI Heng Li, Akila Viswanathan · 2024 to 2026
$848k
NCI NIH HHS R25 CA288263NCI NIH HHS R37 CA229417NCI NIH HHS U54 CA295337NIH HHS R25CA288263NIH HHS R37CA2294171
6 · The paper itself

Abstract

To improve synthetic CT (sCT) generation from cone-beam CT (CBCT) in radiotherapy, we propose a multiscale segmentation-guided diffusion framework. The proposed model integrates anatomical priors across multiple spatial resolutions through a segmentation mask pyramid and introduces a scale-specific loss function to guide learning at each level. When evaluated on the SynthRAD2023 brain dataset, our model achieves a mean absolute error (MAE) of 61.82 HU, a peak signal-to-noise ratio (PSNR) of 32.05 dB, and a structural similarity index (SSIM) of 0.90, outperforming baseline models. These results suggest that multiscale anatomical guidance can improve the fidelity and anatomical consistency of sCT images, thus facilitating high-quality CBCT-to-CT translation in radiotherapy applications.

Indexed as

CBCTdiffusion modelsynthetic CT

Identifiers

PMID41465810
PMCPMC12734220

What OpenQuestion holds

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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.