Evidence map›Paper›PMID 41820031›Full record

ArticleJournal of applied clinical medical physics2026

Automatic target volume segmentation for offline adaptive head-and-neck radiotherapy.

Gilles Moliner, Maxime Michaud, Antoine Guerin, Rodolfe Verstraet, Charles Debrigode, Philippe Lang, Joel Greffier

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 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.

Gilles MolinerDepartment of Radiotherapy, Oncology Division, Carémeau University Hospital, Nîmes, France.ORCID https://orcid.org/0009-0005-7945-7410
Maxime MichaudDepartment of Radiotherapy, Oncology Division, Carémeau University Hospital, Nîmes, France.
Antoine GuerinDepartment of Radiotherapy, Oncology Division, Carémeau University Hospital, Nîmes, France.
Rodolfe VerstraetDepartment of Radiotherapy, Oncology Division, Carémeau University Hospital, Nîmes, France.
Charles DebrigodeDepartment of Radiotherapy, Oncology Division, Carémeau University Hospital, Nîmes, France.
Philippe LangDepartment of Radiotherapy, Oncology Division, Carémeau University Hospital, Nîmes, France.
Joel GreffierMedical Physics Unit, Carémeau University Hospital, Nîmes, France.ORCID https://orcid.org/0000-0002-1735-5129

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the clinical utility of Smartfuse (Therapanacea, France), a deformable image registration (DIR) algorithm for automatic propagation of target volumes in the context of offline adaptive head-and-neck radiotherapy. MATERIALS AND

methodsTen patients underwent offline re-planning during head-and-neck radiotherapy. Target volumes (GTV and CTV) were manually delineated by radiation oncologists (ROs) on both the initial CT (CT

resultsMedian DSC, HD

conclusionSmartfuse may facilitate efficient propagation of target volumes in this study. However, medical review of auto-propagated volumes remains essential, as dosimetric discrepancies may arise when relying solely on automatically generated PTV.

Indexed as

AlgorithmsHead and Neck NeoplasmsImage Processing, Computer-AssistedRadiotherapy Planning, Computer-AssistedHumansOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedTomography, X-Ray Computedadaptive radiotherapyARTdeformable image registrationDIR

Identifiers

PMID41820031
PMCPMC13093520

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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.