ArticleJournal of applied clinical medical physics2025
ADAPT-marketplace - A web-application for XML-based template sharing in radiation oncology.
Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Development of a cost-effective end-to-end commissioning test for simulation-omitted direct-to-unit adaptive radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Best Practice: CT-guided Adaptive Radiotherapy Reference Planning on the Ethos Platform.Journal of applied clinical medical physics · 2026Review
- ADAPT-marketplace - A web-application for XML-based template sharing in radiation oncology.Journal of applied clinical medical physics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
purposeThe adaption of radiotherapy (RT) plans in response to anatomical and physiological changes during treatment marks a significant shift toward personalized cancer care. However, the complexity of Online Adaptive Radiotherapy (OART) procedures often leads to variability in treatment quality across institutions. The development of planning templates, particularly through the Ethos treatment planning system (TPS) and Intelligent Optimization Engine (IOE) (Varian Medical Systems, Palo Alto, CA), plays a crucial role in standardizing and streamlining OART. To address the challenges of sharing and optimizing treatment templates across diverse clinical environments, we developed the ADaptive rAdiotherapy Planning Template (ADAPT-) Marketplace to facilitate the exchange of XML-based templates and promote collaborative innovation in the OART community.
methodsADAPT-Marketplace was developed using the Django web framework, chosen for its security, scalability, and versatility. The platform supports the sharing of XML-based treatment planning templates, compatible with Ethos TPS, and includes features for uploading, downloading, comparing, and editing templates. The development followed a structured process, involving collaborator consultations, prototyping, and both alpha and beta testing. Testing phases included predefined tasks and unscripted evaluations, with feedback collected to refine the platform prior to its official launch.
resultsSince its launch in July 2023, ADAPT-Marketplace has registered 65 users from 16 countries and 38 institutions, including academic, non-academic and industrial sectors. Over 50 templates have been uploaded, covering treatment sites such as the pelvis, thorax, head-and-neck, and abdomen. Feedback from alpha and beta testing resulted in key improvements, including enhanced navigation, template validation, and user experience.
conclusionADAPT-marketplace provides a centralized platform for sharing and collaborating on treatment planning templates, offering the potential to improve research productivity, facilitate knowledge exchange, and standardize OART practices across institutions.
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.