Evidence map›Paper›PMID 41700966›Full record

ArticleTechnology in cancer research & treatment

Analysis of Surface Guidance Versus Laser Alignment for Precision Lung Cancer Particle Therapy.

Xiyu Zhang, Yuze Yang, Jingfang Mao, Yinxiangzi Sheng

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

4 authors.

Xiyu ZhangDepartment of Medical Physics, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China.ORCID 0009-0002-9744-3651
Yuze YangDepartment of Medical Physics, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China.
Jingfang MaoShanghai Key Laboratory of Radiation Oncology, Shanghai, China.
Yinxiangzi ShengDepartment of Medical Physics, Shanghai Proton and Heavy Ion Center, Fudan University Cancer Hospital, Shanghai, China.ORCID 0000-0002-3552-9786

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionLung particle therapy using pencil beam scanning achieves high dose conformity but remains vulnerable to geometric uncertainties from suboptimal initial setup. Surface-guided radiotherapy (SGRT) improves setup reproducibility in photon workflows, yet evidence in lung particle therapy remains limited. This study evaluates the clinical value of SGRT in improving six degrees of freedom (6-DOF) setup reproducibility in lung cancer particle therapy.MethodsThis retrospective cohort study analyzed 63 lung cancer patients receiving 1277 treatment fractions at our center from February 2023 to January 2024. Comparisons were made between conventional laser-based positioning, which included 983 fractions, and SGRT workflows, which included 294 fractions. Following patient positioning, therapists manually registered orthogonal kilovoltage (kV) x-ray images with planning digitally reconstructed radiographs (DRRs) to calculate 6-DOF correction parameters, including translational (lateral, longitudinal, vertical) and rotational (pitch, roll, yaw) components, and to quantify the pre-correction setup error . Absolute 6-DOF displacements and three-dimensional vector magnitudes (MAG) were measured. The analysis included 36 supine patients with 739 treatment fractions and 27 prone patients with 538 fractions.ResultsThe SGRT group exhibited statistically significant reductions in median shifts for lateral (0.25 cm to 0.21 cm,

Indexed as

LasersLung NeoplasmsPatient PositioningRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedAgedFemaleHumansMaleMiddle AgedRadiotherapy DosageRadiotherapy Setup ErrorsRetrospective Studieslung canceroptical surface imaging (OSI)particle therapysetup errorsurface-guided radiotherapy (SGRT)

Identifiers

PMID41700966
PMCPMC12921158

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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.