Evidence map›Paper›PMID 40257694›Full record

ArticleLa Radiologia medica2025

First clinical application of Comprehensive Motion Management with 1.5T MR-linac on prostate cancer patients treated with radiotherapy: technical aspects and suggested workflow recommendations.

Luca Nicosia, Michele Rigo, Roberto Giuseppe Pellegrini, Andrea Gaetano Allegra, Chiara De-Colle, Niccolò Giaj-Levra, Edoardo Pastorello, Francesco Ricchetti, Ruggero Ruggieri, Filippo Alongi

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Article in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

10 authors.

Luca NicosiaAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.ORCID http://orcid.org/0000-0002-0731-8041
Michele RigoAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.ORCID http://orcid.org/0000-0002-0645-0251
Roberto Giuseppe PellegriniMedical Affairs, Elekta AB, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-1731-5522
Andrea Gaetano AllegraAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy. andrea.allegra@sacrocuore.it.ORCID http://orcid.org/0000-0001-6109-4563
Chiara De-ColleAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.ORCID http://orcid.org/0000-0003-4693-2148
Niccolò Giaj-LevraAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.ORCID http://orcid.org/0000-0002-4328-0319
Edoardo PastorelloAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.
Francesco RicchettiAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.ORCID http://orcid.org/0000-0002-4307-3440
Ruggero RuggieriAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.ORCID http://orcid.org/0000-0002-2044-8035
Filippo AlongiAdvanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Via Don Sempreboni 5, 37034, Negrar, Verona, Italy.ORCID http://orcid.org/0000-0002-6569-8628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMR-guided radiotherapy (MRgRT) on the MR-linac (MRL) with daily online plan adaptation enables better control of inter-fraction variability. Recently, Comprehensive Motion Management (CMM) was introduced for the 1.5T MRL. CMM halts dose delivery when the target moves outside its defined position and allows for target drift corrections, compensating for intra-fraction variability. This study aims to report the first clinical experience with prostate MRgRT using CMM, focusing on intra-fraction motion management and treatment delivery time. MATERIAL AND

methodsSixty patients with low- to intermediate-risk prostate cancer were treated with the 1.5T MRL using CMM. PTV margins were 5 mm in all directions, with a 3-mm margin posteriorly. Fifty patients received ultra-hypofractionated radiotherapy (SBRT), and 10 received hypofractionated radiotherapy (hypoRT). The CMM threshold was set to 100% of the GTV volume.

resultsA total of 450 treatment fractions were administered. The median beam-on time was 10.3 min, with a median duty cycle of 98.9% (95% CI 98.6-99.2%). Beam hold occurred in 158 fractions (35%), with an average of 24.5 instances per fraction (95% CI 16-32). Thirty-two baseline shift replans were performed. Both acute and late toxicities were low, with no Grade 3 or higher toxicities.

conclusionsCMM has been successfully implemented in MRgRT. In-treatment corrections and baseline shift replanning did not significantly impact treatment time, enhancing treatment quality without compromising patient compliance or treatment feasibility. The low incidence of beam-hold events suggests that CMM could potentially allow for a safe reduction in PTV margins.

Indexed as

Magnetic Resonance ImagingProstatic NeoplasmsRadiotherapy, Image-GuidedAgedAged, 80 and overHumansMaleMiddle AgedRadiation Dose HypofractionationRadiotherapy Planning, Computer-AssistedWorkflowAdaptive radiotherapyCMMComprehensive Motion ManagementMRgRTMR-linacProstate cancer

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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.