Evidence map›Paper›PMID 42150707›Full record

ArticleInternational journal of radiation oncology, biology, physics2026

Technical Considerations on Proton Therapy in NRG's Multi-Institutional Clinical Trials.

Xiaoying Liang, Paige A Taylor, Heng Li, Harald Paganetti, Mark Pankuch, Chris J Beltran, Stella Flampouri, Bradford S Hoppe, Hanne Kooy, Haibo Lin and 8 more

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, 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

18 authors.

Xiaoying LiangDepartment of Radiation Oncology, Mayo Clinic Florida, Jacksonville, Florida.
Paige A TaylorDepartment of Radiation Physics, Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Heng LiDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, Maryland.
Harald PaganettiDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Mark PankuchNorthwestern Medicine Proton Center, Warrenville, Illinois.
Chris J BeltranDepartment of Radiation Oncology, Mayo Clinic Florida, Jacksonville, Florida.
Stella FlampouriDepartment of Radiation Oncology, Winship Cancer Institute at Emory University, Atlanta, Georgia.
Bradford S HoppeDepartment of Radiation Oncology, Mayo Clinic Florida, Jacksonville, Florida.
Hanne KooyDepartment of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Haibo LinNew York Proton Center, New York, New York.
Liyong LinDepartment of Radiation Oncology, Winship Cancer Institute at Emory University, Atlanta, Georgia.
Wei LiuDepartment of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
Narayan SahooDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Charles B SimoneNew York Proton Center, New York, New York.
Boon-Keng Kevin TeoDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania.
Ying XiaoDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, Pennsylvania.
Jun ZhouDepartment of Radiation Oncology, Winship Cancer Institute at Emory University, Atlanta, Georgia.
Jeffrey C BuchsbaumRadiation Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Bethesda, Maryland. Electronic address: jeff.buchsbaum@nih.gov.

Funding

NRG Oncology Network Group Operations Center - GY9 BIQSFP Reports/BudgetsU10CA180868 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI NORMAN WOLMARK · 2014 to 2026
$206.8M
Dose Linear Energy Transfer Volume Histogram and Dosimetric Seed Spot Analysis in Spot Scanning Proton TherapyR01CA280134 · NCI · MAYO CLINIC ARIZONA · PI Wei Liu · 2024 to 2026
$1.7M
Online Adaptive Proton TherapyR01EB293388 · NIBIB · MAYO CLINIC ARIZONA · PI Wei Liu · 2025 to 2026
$1.3M
Intramural NIH HHS Z99 CA999999NCI NIH HHS R01 CA280134NCI NIH HHS U10 CA180868NIBIB NIH HHS R01 EB293388
6 · The paper itself

Abstract

purposeIntegrating proton therapy into multi-institutional clinical trials introduces distinct physical and biological complexities. Modern pencil beam scanning enables highly conformal dose delivery but increases sensitivity to setup and range uncertainties, patient motion, interfractional anatomic changes, and variability in relative biological effectiveness. These factors complicate treatment standardization and outcome interpretation across institutions. METHODS AND MATERIALS: Under the leadership of NRG Oncology, current proton therapy clinical trial protocols were reviewed to identify technical challenges. Key issues examined included robustness evaluation, motion management, adaptive planning considerations, treatment reporting, and limitations in dosimetric and biological data collection. Recommendations were developed based on contemporary proton therapy practice and multi-institutional clinical trial experience.

resultsThis guideline establishes a harmonized framework for proton therapy in cooperative group clinical trials and provides practical recommendations for robustness evaluation, motion management, treatment reporting, and standardized data collection. Specifically, we recommend evaluating plan robustness directly on the clinical target volume using worst-case scenarios, rather than relying on conventional photon-based geometric expansions (planning target volume). Guidance is also provided for uncertainty parameters and minimum uncertainty scenario sets. In addition, expansion of centralized data collection through the Imaging and Radiation Oncology Core is recommended to include beam model parameters and linear energy transfer information to support independent dose reconstruction, cross-validation, and future retrospective radiobiological analyses as clinical relative biological effectiveness models evolve.

conclusionsThis unified framework aims to improve treatment consistency, outcome reliability, and harmonized proton therapy implementation across cooperative group clinical trials while supporting future investigation of biological dose-response relationships.

Identifiers

PMID42150707
PMCPMC13188361

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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.