Evidence map›Paper›PMID 34159715›Full record

ArticleJournal of applied clinical medical physics2021

Functional avoidance-based intensity modulated proton therapy with 4DCT derived ventilation imaging for lung cancer.

Jingjing M Dougherty, Edward Castillo, Richard Castillo, Austin M Faught, Mark Pepin, Sean S Park, Chris J Beltran, Thomas Guerrero, Inga Grills, Yevgeniy Vinogradskiy

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. 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

10 authors at 8 institutions in 1 country.

Jingjing M DoughertyDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, FL, USA.
Edward CastilloDepartment of Computational and Applied Mathematics, Rice University, Houston, TX, USA.
Richard CastilloDepartment of Radiation Oncology, Emory University, Atlanta, GA, USA.
Austin M FaughtDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Mark PepinDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Sean S ParkDepartment of Radiation Oncology, Mayo Clinic, Rochester, MN, USA.
Chris J BeltranDepartment of Radiation Oncology, Mayo Clinic, Jacksonville, FL, USA.
Thomas GuerreroDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Inga GrillsDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, MI, USA.
Yevgeniy VinogradskiyDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA.
Beaumont Health · USMayo Clinic in Arizona · USEmory University · USJacksonville College · USMayo Clinic in Florida · USRice University · USSt. Jude Children's Research Hospital · USUniversity of Colorado Denver · US

Funding

Development of a Novel Lung Function Imaging Modality for comprehensive management of lung cancerR01CA236857 · NCI · UNIVERSITY OF COLORADO DENVER · PI CASTILLO, EDWARD, CASTILLO, RICHARD · 2020 to 2025
$2.4M
NCI NIH HHS R01 CA236857
6 · The paper itself

Abstract

The primary objective is to evaluate the potential dosimetric gains of performing functional avoidance-based proton treatment planning using 4DCT derived ventilation imaging. 4DCT data of 31 patients from a prospective functional avoidance clinical trial were evaluated with intensity modulated proton therapy (IMPT) plans and compared with clinical volumetric modulated arc therapy (VMAT) plans. Dosimetric parameters were compared between standard and functional plans with IMPT and VMAT with one-way analysis of variance and post hoc paired student t-test. Normal Tissue Complication Probability (NTCP) models were employed to estimate the risk of two toxicity endpoints for healthy lung tissues. Dose degradation due to proton motion interplay effect was evaluated. Functional IMPT plans led to significant dose reduction to functional lung structures when compared with functional VMAT without significant dose increase to Organ at Risk (OAR) structures. When interplay effect is considered, no significant dose degradation was observed for the OARs or the clinical target volume (CTV) volumes for functional IMPT. Using fV20 as the dose metric and Grade 2+ pneumonitis as toxicity endpoint, there is a mean 5.7% reduction in Grade 2+ RP with the functional IMPT and as high as 26% in reduction for individual patient when compared to the standard IMPT planning. Functional IMPT was able to spare healthy lung tissue to avoid excess dose to normal structures while maintaining satisfying target coverage. NTCP calculation also shows that the risk of pulmonary complications can be further reduced with functional based IMPT.

Indexed as

Lung NeoplasmsProton TherapyRadiotherapy, Intensity-ModulatedHumansLungOrgans at RiskProspective StudiesRadiotherapy DosageRadiotherapy Planning, Computer-Assisted4DCTfunctional lung imagingIMPTlung toxicitylung ventilationproton motion interplayproton therapyradiation pneumonitis

Identifiers

PMID34159715
PMCPMC8292710
OpenAlexW3174623975

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.