Evidence map›Paper›PMID 40597128›Full record

ArticleBMC medical education2025

National competition reveals common errors in target delineation among young clinicians in radiation therapy.

Qingyu Huang, Xue Dou, Jing Liu, Rui Feng, Xiang Zhang, Jinbo Yue

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Qingyu HuangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical Universityand, Shandong Academy of Medical Sciences , Jinan, 250117, China.
Xue DouDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical Universityand, Shandong Academy of Medical Sciences , Jinan, 250117, China.
Jing LiuDepartment of Gynecologic Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical Universityand, Shandong Academy of Medical Sciences , Jinan, 250117, China.
Rui FengDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical Universityand, Shandong Academy of Medical Sciences , Jinan, 250117, China.
Xiang ZhangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical Universityand, Shandong Academy of Medical Sciences , Jinan, 250117, China. xiang_zh1988@163.com.
Jinbo YueDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical Universityand, Shandong Academy of Medical Sciences , Jinan, 250117, China. jbyue@sdfmu.edu.cn.

Funding

Bethune Cancer Radiotherapy Translational Medicine Research Fund flzh202103National Natural Science Foundation of China 82272753Science Fund for Distinguished Young Scholars of Shandong Province ZR2021LZL002The Key Research and Development Program of Shandong (Major Science & Technology Innovation Project) 2021SFGC05012021
6 · The paper itself

Abstract

backgroundRadiation therapy's efficacy hinges on accurate tumor and organ delineation, a task currently dependent on manual methods prone to high variability and error. To address this, we organized a national targeting competition to identify and rectify common targeting errors among young clinicians.

methodsAn annual national competition in China was conducted for clinicians under 40, focusing on various cancer types. Participants submitted delineation work for anonymous expert review. The competition assessed integration of multimodal imaging and accuracy in delineation across different tumor types, including central nervous system, head and neck, lung, esophageal, breast, abdominal, pelvic, urinary, gynecological, and lymphoma tumors.

resultsInvolving 506 clinicians over three years, the competition revealed significant variability in target delineation practices. Enhanced CT was the predominant method for tumor localization. Key challenges included insufficient integration of multimodal imaging and inaccuracies in delineating lymph nodes, anatomical barriers, and tumor motion. The findings highlighted a disconnection between theoretical knowledge and clinical application.

conclusionsThe findings highlight the necessity of ongoing education and the standardization of training protocols for clinicians, especially for those in the early stages of their careers.

Indexed as

Clinical CompetenceNeoplasmsRadiation OncologyRadiotherapy Planning, Computer-AssistedChinaFemaleHumansMultimodal ImagingTomography, X-Ray ComputedCompetitionRadiation therapyTarget delineationYoung clinicians

Identifiers

PMID40597128
PMCPMC12210428

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.