Evidence map›Paper›PMID 42534673›Full record

ArticleFrontiers in oncology2026

Quantitative assessment of inter-observer consistency in target volume delineation following breast-conserving surgery and mastectomy.

An Yi, Lihong He, Zijie Wang, Xin Liu, Bin Li, Zhuoyu He, Jin Liu, Chunling Jiang

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.

An Yi *Jiangxi Medical College, Nanchang University, Nanchang, China.
Lihong He *Jiangxi Medical College, Nanchang University, Nanchang, China.
Zijie Wang *Department of Radiation Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xin LiuJiangxi Medical College, Nanchang University, Nanchang, China.
Bin LiJiangxi Medical College, Nanchang University, Nanchang, China.
Zhuoyu HeJiangxi Medical College, Nanchang University, Nanchang, China.
Jin LiuJiangxi Medical College, Nanchang University, Nanchang, China.
Chunling JiangDepartment of Radiation Oncology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Consistent clinical target volume (CTV) delineation is vital for breast cancer radiotherapy. While organs-at-risk definitions are increasingly automated, manual CTV delineation of complex post-surgical volumes remains highly observer-dependent, potentially compromising treatment homogeneity. Objective: To quantify inter-observer discrepancies in postoperative breast cancer CTV contouring among regional oncologists and to qualitatively analyze the reasons for these contouring discrepancies to promote standardization and quality assurance. Methods: Based on CT datasets of two representative post-surgical breast cancer cases (BCS and MRM), 22 frontline radiation oncologists from regional municipal hospitals independently contoured the required CTVs. Inter-observer contouring discrepancies across these manual target volumes were quantitatively evaluated via Dice similarity coefficients (DSC) and Hausdorff distances (HD) against a consensus reference standard established through a two-expert consensus workflow. Results: A total of 20 completed datasets, each for both the BCS and MRM cases, were successfully retrieved and analyzed. The large volumes achieved the highest overlap ( Conclusion: Delineation consistency is acceptable for large volumes (

Indexed as

breast cancerclinical target volumedice similarity coefficienthausdorff distanceradiotherapy

Identifiers

PMID42534673
PMCPMC13422150

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.