Evidence map›Paper›PMID 40926802›Full record

ArticlePhysics and imaging in radiation oncology2025

Evaluating the technical feasibility of biology-guided dose painting in proton therapy.

Caterina Brighi, Giovanni Parrella, Letizia Morelli, Silvia Molinelli, Giuseppe Magro, Sara Lillo, Alberto Iannalfi, Mario Ciocca, Sara Imparato, David E J Waddington and 4 more

Abstract read
In one paragraph

Article in Physics and imaging in radiation 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

14 authors.

Caterina BrighiDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Giovanni ParrellaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Letizia MorelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Silvia MolinelliNational Center for Oncological Hadrontherapy, CNAO, Pavia, Italy.
Giuseppe MagroNational Center for Oncological Hadrontherapy, CNAO, Pavia, Italy.
Sara LilloNational Center for Oncological Hadrontherapy, CNAO, Pavia, Italy.
Alberto IannalfiNational Center for Oncological Hadrontherapy, CNAO, Pavia, Italy.
Mario CioccaNational Center for Oncological Hadrontherapy, CNAO, Pavia, Italy.
Sara ImparatoNational Center for Oncological Hadrontherapy, CNAO, Pavia, Italy.
David E J WaddingtonImage X Institute, Sydney School of Health Sciences, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.
Paul KeallImage X Institute, Sydney School of Health Sciences, Faculty of Medicine & Health, The University of Sydney, Sydney, Australia.
Chiara PaganelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Ester OrlandiNational Center for Oncological Hadrontherapy, CNAO, Pavia, Italy.
Guido BaroniDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biology-guided voxel-level inverse prescription mapping for dose painting (DP) using diffusion-weighted magnetic resonance imaging was evaluated for technical feasibility in proton therapy for 10 skull-base chordoma patients. Patient-specific DP prescriptions were generated from tumour cellularity and implemented in a clinical treatment planning system. Compared with uniform plans, DP achieved lower conformity (although >97 %), improved target dose metrics, reduced doses to most organs at risk, and increased tumour control probability without exceeding clinical constraints. DP proton therapy is technically feasible and may enhance treatment effectiveness.

Indexed as

Dose paintingFunctional MRIPencil beam scanningPlanning studyProton therapySkull-base chordoma

Identifiers

PMID40926802
PMCPMC12414908

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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.