Evidence map›Paper›PMID 42306800›Full record

ArticleFrontiers in oncology2026

Four-dimensional computed tomography ventilation imaging-guided radiotherapy planning in different techniques for lung cancer.

Shu-Qing Yang, Hui Yu, Yu-Long Yang, Cheng Wang, Yan Li, Di-Feng Guo, Chen-Shi Lin, Chao Li, Zhi-Qiang Cai

Abstract read
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In one paragraph

Article in Frontiers in oncology, 2026. 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

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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

9 authors.

Shu-Qing Yang *Department of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Hui Yu *Department of Radiotherapy Center, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
Yu-Long Yang *Department of Orthopedics, Anyang People's Hospital Affiliated to Henan Medical University, Anyang, China.
Cheng WangSchool of Physics and Optoelectronic Engineering, Yangtze University, Jingzhou, China.
Yan LiDepartment of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Di-Feng GuoDepartment of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Chen-Shi LinDepartment of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Chao LiDepartment of Radiotherapy Center, The First Affiliated Hospital of Yangtze University, Jingzhou, China.
Zhi-Qiang CaiDepartment of Oncology, The First Affiliated Hospital of Yangtze University, Jingzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This simulation study aims to integrate four-dimensional computed tomography (4DCT) ventilation imaging into functional planning using different radiotherapy (RT) techniques and compare the dosimetric differences across these techniques. Methods: 4DCT ventilation images from eighteen lung cancer patients were created using Jacobian values obtained via deformable image registration and a ventilation imaging algorithm. For each patient, we designed both anatomical and functional plans using intensity-modulated radiotherapy (IMRT), hybrid IMRT (static plus IMRT beams treated concurrently), and volumetric modulated arc therapy (VMAT). Dosimetric parameters were systematically compared, with particular attention to the functional lung (FL) radiation dose. Results: The results showed that regardless of the RT technique (IMRT, hybrid IMRT, or VMAT), functional planning reduced fV Conclusion: Compared with anatomical planning, functional planning reduces the radiation dose to the FL while preserving target dose coverage and meeting dose constraints for OARs. Among the RT techniques for functional planning, f-VMAT may serve as the preferred technique.

Indexed as

4D-CT ventilation imaginghybrid IMRTintensity-modulated radiotherapy (IMRT)lung cancerradiotherapyvolumetric modulated arc therapy (VMAT)

Identifiers

PMID42306800
PMCPMC13265367

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