Evidence map›Paper›PMID 28140352›Full record

ArticlePhysics in medicine and biology2017

Initial development of goCMC: a GPU-oriented fast cross-platform Monte Carlo engine for carbon ion therapy.

Nan Qin, Marco Pinto, Zhen Tian, Georgios Dedes, Arnold Pompos, Steve B Jiang, Katia Parodi, Xun Jia

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. A new GPU-based Monte Carlo code for helium ion therapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025
    Article
  3. Article
  4. Article
  5. Fixed Beamline Optimization for Intensity Modulated Carbon-Ion Therapy.IEEE transactions on radiation and plasma medical sciences · 2022
    Article
  6. Article
  7. Improving Proton Dose Calculation Accuracy by Using Deep Learning.Machine learning: science and technology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Review
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

8 authors.

Nan QinDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.
Marco PintoDepartment of Experimental Physics-Medical Physics, Ludwig-Maximilians-Universität München, Munich 85748, Germany.
Zhen TianDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.
Georgios DedesDepartment of Experimental Physics-Medical Physics, Ludwig-Maximilians-Universität München, Munich 85748, Germany.
Arnold PomposDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.
Steve B JiangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.
Katia ParodiDepartment of Experimental Physics-Medical Physics, Ludwig-Maximilians-Universität München, Munich 85748, Germany.
Xun JiaDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, United States of America.

Funding

National Particle Therapy Research Center (NPTRC)P20CA183639 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI JIANG, STEVE BIN · 2015 to 2016
$1.0M
NCI NIH HHS P20 CA183639
6 · The paper itself

Abstract

Monte Carlo (MC) simulation is considered as the most accurate method for calculation of absorbed dose and fundamental physics quantities related to biological effects in carbon ion therapy. To improve its computational efficiency, we have developed a GPU-oriented fast MC package named goCMC, for carbon therapy. goCMC simulates particle transport in voxelized geometry with kinetic energy up to 450 MeV u

Indexed as

Carbon RadioisotopesElectronsHeavy Ion RadiotherapyHumansMonte Carlo MethodPhantoms, ImagingRadiotherapy DosageRadiotherapy Planning, Computer-AssistedCarbon Radioisotopes

Identifiers

PMID28140352
PMCPMC5730973

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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.