Evidence map›Paper›PMID 35402249›Full record

ArticleFrontiers in oncology2022

A Data-Driven Fragmentation Model for Carbon Therapy GPU-Accelerated Monte-Carlo Dose Recalculation.

Micol De Simoni, Giuseppe Battistoni, Angelica De Gregorio, Patrizia De Maria, Marta Fischetti, Gaia Franciosini, Michela Marafini, Vincenzo Patera, Alessio Sarti, Marco Toppi and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

13 authors.

Micol De SimoniDepartment of Physics, University of Rome "Sapienza", Rome, Italy.
Giuseppe BattistoniINFN (Istituto Nazionale Fisica Nucleare) Section of Milano, Milano, Italy.
Angelica De GregorioDepartment of Physics, University of Rome "Sapienza", Rome, Italy.
Patrizia De MariaDepartment of Medico-Surgical Sciences and Biotechnologies, Post-Graduate School in Medical Physics, Rome, Italy.
Marta FischettiINFN (Istituto Nazionale di Fisica Nucleare) section of Roma 1, Rome, Italy.
Gaia FranciosiniDepartment of Physics, University of Rome "Sapienza", Rome, Italy.
Michela MarafiniINFN (Istituto Nazionale di Fisica Nucleare) section of Roma 1, Rome, Italy.
Vincenzo PateraINFN (Istituto Nazionale di Fisica Nucleare) section of Roma 1, Rome, Italy.
Alessio SartiINFN (Istituto Nazionale di Fisica Nucleare) section of Roma 1, Rome, Italy.
Marco ToppiDepartment of Scienze di Base e Applicate per l'Ingegneria (SBAI), University of Rome "Sapienza", Rome, Italy.
Giacomo TrainiINFN (Istituto Nazionale di Fisica Nucleare) section of Roma 1, Rome, Italy.
Antonio TrigilioDepartment of Physics, University of Rome "Sapienza", Rome, Italy.
Angelo SchiaviINFN (Istituto Nazionale di Fisica Nucleare) section of Roma 1, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The advent of Graphics Processing Units (GPU) has prompted the development of Monte Carlo (MC) algorithms that can significantly reduce the simulation time with respect to standard MC algorithms based on Central Processing Unit (CPU) hardware. The possibility to evaluate a complete treatment plan within minutes, instead of hours, paves the way for many clinical applications where the time-factor is important. FRED (Fast paRticle thErapy Dose evaluator) is a software that exploits the GPU power to recalculate and optimise ion beam treatment plans. The main goal when developing the FRED physics model was to balance accuracy, calculation time and GPU execution guidelines. Nowadays, FRED is already used as a quality assurance tool in Maastricht and Krakow proton clinical centers and as a research tool in several clinical and research centers across Europe. Lately the core software has been updated including a model of carbon ions interactions with matter. The implementation is phenomenological and based on carbon fragmentation data currently available. The model has been tested against the MC FLUKA software, commonly used in particle therapy, and a good agreement was found. In this paper, the new FRED data-driven model for carbon ion fragmentation will be presented together with the validation tests against the FLUKA MC software. The results will be discussed in the context of FRED clinical applications to

Indexed as

carbon ion (C12)fast MCfragmentationgraphics processing unit (GPU)hadrontherapyquality assurance (QA)

Identifiers

PMID35402249
PMCPMC8990885

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.