Evidence map›Paper›PMID 42109653›Full record

ArticleFrontiers in oncology2026

The impact of positioning errors on the dose distribution of hypofractionated radiotherapy for left-sided radical breast cancer.

Pan Wang, Guofeng Ma, Ting Zhao, Wei Ding, Wei Kong, Hongqiang Ye, Jun Shang, Wanfu Yang

Abstract read
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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

8 authors.

Pan WangDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Guofeng MaDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Ting ZhaoDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Wei DingDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Wei KongDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Hongqiang YeDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Jun ShangDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.
Wanfu YangDepartment of Radiation Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the impact of setup errors on the dosimetry of targets and organs at risk (OARs) in the mode of Hypofractionated radiotherapy(HFRT) for left-sided radical breast cancer, particularly on the esophagus, thyroid and left anterior descending artery (LAD). Methods: 30 patients were prescribed with 43.5Gy in 15 fractions. Positioning uncertainties were simulated by shifting the isocenter of 3, 5, 7, and 9 mm in six directions. Deviations in dosimetry were analyzed for the supraclavicular and the chest wall clinical target volume (CTV Results: For D Conclusion: The esophagus and thyroid are most sensitive to setup errors in the right direction, while the heart, LAD, and lung are most sensitive to errors in the posterior direction. It is recommended that the setup error tolerance be set at 3 mm for the CTV

Indexed as

dose distributionhypofractionated radiotherapyleft-sided radical breast cancersetup errorsthyroid dose

Identifiers

PMID42109653
PMCPMC13152794

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.