Evidence map›Paper›PMID 41987019›Full record

ArticleJournal of applied clinical medical physics2026

Commissioning and clinical implementation of Monaco treatment planning system on a compact pencil beam scanning proton therapy system.

Xiangkun Xu, Xiaoda Cong, Jian Liang, An Qin, Shupeng Chen, Xiaoqiang Li, Weili Zheng, Peilin Liu, Raymond Dalfsen, James Dolan and 4 more

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

14 authors.

Xiangkun XuDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Xiaoda CongDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Jian LiangDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
An QinDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.ORCID https://orcid.org/0009-0007-5129-1580
Shupeng ChenDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Xiaoqiang LiDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Weili ZhengDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Peilin LiuDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.ORCID https://orcid.org/0009-0004-1498-3228
Raymond DalfsenElekta AB, Stockholm, Sweden.
James DolanElekta AB, Stockholm, Sweden.
Martin SoukupElekta AB, Stockholm, Sweden.
Craig StevensDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Rohan DeraniyagalaDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.
Xuanfeng DingDepartment of Radiation Oncology, Corewell Health William Beaumont University Hospital, Royal Oak, Michigan, USA.

Funding

Develop a novel multi-approach dynamic Spot Scanning Proton Arc optimization frameworkR01CA301448 · NCI · WILLIAM BEAUMONT HOSPITAL RESEARCH INST · PI Xuanfeng Ding · 2025 to 2026
$2.2M
Elekta and IBAHealth Foundation Southeast MichiganNCI NIH HHS R01 CA301448NIH HHS R01CA301448
6 · The paper itself

Abstract

backgroundTreatment planning system (TPS) requires comprehensive commissioning and validation prior to clinical use to ensure accurate dose calculation and safe clinical implementation. PURPOSE: To enable clinical use of the Monaco proton TPS, we commissioned it on a single-room compact proton therapy system and implemented a clinically integrated workflow using daily synthetic CT (sCT) to track fractional dose delivery.

methodsThe Monte Carlo (MC) dose calculation algorithm in Monaco TPS (version 6.1) was commissioned on an IBA Proteus ONE system. Commissioning included data acquisition, beam modeling, and model validation. Data included in-air spot profiles for 70-227 MeV at five planes (+20 cm and +10 cm upstream, isocenter, -10 cm and -20 cm downstream), integral depth-dose curves in water, and absolute monitor unit calibration. Model validation comprised: percent depth-dose in water for monoenergetic beams using a 10 × 10 cm

resultsDistal range (R90, R80, R20) differences between Monaco and measurement were within 1 mm for 70-227.7 MeV. Output differences for all standard cube plans were within 3%. For the IROC brain phantom, the TLD-to-Monaco MC dose ratio was 1.00, with gamma passing rates of 94% (coronal) and 98% (sagittal). sCT-based evaluation showed 99% CTV receiving ≥98% of the prescribed dose across the course.

conclusionsMonaco's proton MC beam model and dose calculation algorithm were commissioned and validated on IBA Proteus ONE for clinical use. The first patient (November, 2024) was successfully treated, with daily dose delivery accuracy monitored via an in-house sCT platform.

Indexed as

AlgorithmsMonte Carlo MethodPhantoms, ImagingProton TherapyRadiotherapy Planning, Computer-AssistedSkin NeoplasmsHumansOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-Modulatedcommissioningproton therapyTreatment planning system

Identifiers

PMID41987019
PMCPMC13083593

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Registered trials

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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.