Evidence map›Paper›PMID 25919133›Full record

ArticlePhysics in medicine and biology2015

Risk-optimized proton therapy to minimize radiogenic second cancers.

Laura A Rechner, John G Eley, Rebecca M Howell, Rui Zhang, Dragan Mirkovic, Wayne D Newhauser

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Image-based data mining applies to data collected from children.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2022
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

6 authors at 4 institutions in 2 countries.

Laura A RechnerThe University of Texas Health Science Center Houston, Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
John G EleyThe University of Texas Health Science Center Houston, Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Rebecca M HowellThe University of Texas Health Science Center Houston, Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Rui ZhangThe University of Texas Health Science Center Houston, Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Dragan MirkovicThe University of Texas Health Science Center Houston, Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Wayne D NewhauserThe University of Texas Health Science Center Houston, Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USMary Bird Perkins Cancer Center · USRigshospitalet · DKThe University of Texas Health Science Center at Houston · US

Funding

Infection and Inflammation in Adult GliomasK07CA131505 · NCI · BAYLOR COLLEGE OF MEDICINE · PI SCHEURER, MICHAEL E. · 2008 to 2012
$784k
Prediction of Second Cancer Risks for Children Treated with Proton - vs. - PhotonR01CA131463 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI NEWHAUSER, WAYNE D · 2008 to 2010
$767k
NCI NIH HHS 1 R01 CA131463-01A1NCI NIH HHS K07 CA131505NCI NIH HHS R01 CA131463
6 · The paper itself

Abstract

Proton therapy confers substantially lower predicted risk of second cancer compared with photon therapy. However, no previous studies have used an algorithmic approach to optimize beam angle or fluence-modulation for proton therapy to minimize those risks. The objectives of this study were to demonstrate the feasibility of risk-optimized proton therapy and to determine the combination of beam angles and fluence weights that minimizes the risk of second cancer in the bladder and rectum for a prostate cancer patient. We used 6 risk models to predict excess relative risk of second cancer. Treatment planning utilized a combination of a commercial treatment planning system and an in-house risk-optimization algorithm. When normal-tissue dose constraints were incorporated in treatment planning, the risk model that incorporated the effects of fractionation, initiation, inactivation, repopulation and promotion selected a combination of anterior and lateral beams, which lowered the relative risk by 21% for the bladder and 30% for the rectum compared to the lateral-opposed beam arrangement. Other results were found for other risk models.

Indexed as

AlgorithmsDose Fractionation, RadiationHumansMaleMiddle AgedNeoplasms, Radiation-InducedProstatic NeoplasmsProton TherapyRadiotherapy Planning, Computer-AssistedRisk

Identifiers

PMID25919133
PMCPMC4443860
OpenAlexW2028058188

What OpenQuestion holds

Textmetadata
LicenceTDM
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.