Evidence map›Paper›PMID 39819726›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2025

PE-CycleGAN network based CBCT-sCT generation for nasopharyngeal carsinoma adaptive radiotherapy.

Yadi He, Xuanru Zhou, Jinhui Jin, Ting Song

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 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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0citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yadi HeSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Xuanru ZhouSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Jinhui JinSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Ting SongSchool of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.

Funding

National Natural Science Foundation of China 82472117
6 · The paper itself

Abstract

objectivesTo explore the synthesis of high-quality CT (sCT) from cone-beam CT (CBCT) using PE-CycleGAN for adaptive radiotherapy (ART) for nasopharyngeal carcinoma.

methodsA perception-enhanced CycleGAN model "PE-CycleGAN" was proposed, introducing dual-contrast discriminator loss, multi-perceptual generator loss, and improved U-Net structure. CBCT and CT data from 80 nasopharyngeal carcinoma patients were used as the training set, with 7 cases as the test set. By quantifying the mean absolute error (MAE), peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), as well as the dose gamma pass rate and the relative dose deviations of the target area and organs at risk (OAR) between sCT and reference CT, the image quality and dose calculation accuracy of sCT were evaluated.

resultsThe MAE of sCT generated by PE-CycleGAN compared to the reference CT was (56.89±13.84) HU, approximately 30% lower than CBCT's (81.06±15.86) HU (

conclusionsPE-CycleGAN demonstrates the ability to rapidly synthesize high-quality sCT from CBCT, offering a promising approach for CBCT-guided adaptive radiotherapy in nasopharyngeal carcinoma.

Indexed as

Cone-Beam Computed TomographyNasopharyngeal NeoplasmsRadiotherapy Planning, Computer-AssistedHumansNasopharyngeal CarcinomaRadiotherapy DosageRadiotherapy, Intensity-ModulatedSignal-To-Noise Ratioadaptive radiotherapycone-beam CTdeep learninggenerative adversarial networksynthetic CT images

Identifiers

PMID39819726
PMCPMC11744283

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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 Socratic graph.