Evidence map›Paper›PMID 42588619›Full record

ArticleCancers2026

Image-Guided Adaptive Brachytherapy Using Patient-Specific 3D-Printed Templates for Complex Locally Advanced Cervical Cancer: A Real-World Implementation Study.

Yuanjie Cao, Imashi Sandupama Wickramage, Chen Li, Youheng Tan, Wenwen Zhang, Qingsong Pang, Jie Chen

Abstract read
In one paragraph

Article in Cancers, 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

7 authors.

Yuanjie CaoDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin 300060, China.ORCID 0000-0001-6748-5629
Imashi Sandupama WickramageDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin Medical University, Tianjin 300060, China.ORCID 0009-0002-0649-8797
Chen LiDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin 300060, China.
Youheng TanSchool of Automation, Central South University, Changsha 410083, China.
Wenwen ZhangDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin 300060, China.
Qingsong PangDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin 300060, China.
Jie ChenDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin 300060, China.

Funding

Tianjin Medical University Cancer Institute & Hospital "358 Project" 358-2022-11 and 358-2023-3
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

3D-printed templateadaptive radiotherapycervical cancercurved-channel guidancedosimetryimage-guided adaptive brachytherapyintracavitary/interstitial brachytherapyreal-world implementation

Identifiers

PMID42588619
PMCPMC13465610

What OpenQuestion holds

Textmetadata
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.