ArticleDiscover oncology2025
A global bibliometric and visualization study of the adaptive radiotherapy research landscape.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The clinical application of adaptive radiotherapy (ART) remains limited in practice, mainly due to equipment limitations and time constraints. This analysis aims to uncover prevalent research patterns, emerging trends, and collaborative networks to guide future directions in clinical research on ART. A systematic bibliometric analysis was conducted using the Web of Science Core Collection (1999-2024) with the search query: cancer and adaptive radiotherapy in title, abstract and keywords. Data analysis was performed using CiteSpace 6.3.R2 for network visualization and Excel for trend analysis. The bibliometric analysis identified 3,941 adaptive radiotherapy publications (1999-2024) with 63,951 citations, demonstrating sustained research growth and peaking productivity during 2021-2023 (annual average: 405 publications). Leading researchers included Tanderup K (78 publications) and Pötter R (629 citations), with Yan D showing influential contributions to adaptive radiotherapy research. Keyword analysis revealed evolving research trends from organ motion/dose escalation (2005-2015) to current focuses on deep learning and MR-guided radiotherapy (2020-2023). Co-citation analysis revealed the evolutionary trajectory of adaptive radiotherapy research, progressing from early prostate cancer studies to current focuses on MR-guided brachytherapy and adaptive proton therapy, with seminal contributions from Pötter R and Sturdza A. This bibliometric analysis documents the rapid evolution of adaptive radiotherapy as a transformative approach in radiation oncology, driven by image-guidance technological advances and demonstrating substantial clinical translation progress.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.