Evidence map›Paper›PMID 37276079›Full record

ArticleJournal of applied clinical medical physics2023

Triggering daily online adaptive radiotherapy in the pelvis: Dosimetric effects and procedural implications of trigger parameter-value selection.

Adam D Yock, Mahmoud Ahmed, Sarah Masick, Manuel Morales-Paliza, Christien Kluwe, Ashwin Shinde, Austin Kirschner, Eric Shinohara

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. 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
2.9field-weighted citation impact, top 10% 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, 8 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Adam D YockDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Mahmoud AhmedDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Sarah MasickDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Manuel Morales-PalizaDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Christien KluweDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ashwin ShindeDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Austin KirschnerDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Eric ShinoharaDepartment of Radiation Oncology, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Vanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOnline adaptive radiotherapy (ART) can address dosimetric consequences of variations in anatomy by creating a new plan during treatment. However, ART is time- and labor-intensive and should be implemented in a resource-conscious way. Adaptive triggers composed of parameter-value pairs may direct the judicious use of online ART. PURPOSE: This work analyzed our clinical experience using CBCT-based daily online ART to demonstrate how a conceptual framework based on adaptive triggers affects the dosimetric and procedural impact of ART.

methodsSixteen patients across several pelvic sites were treated with CBCT-based daily online ART. Differences in standardized dose metrics were compared between the original plan, the original plan recalculated on the daily anatomy, and an adaptive plan. For each metric, trigger values were analyzed in terms of the proportion of treatments adapted and the distribution of metric values.

resultsTarget coverage metrics were compromised due to anatomic variation with the average change per treatment ranging from -0.90 to -0.05 Gy, -0.47 to -0.02 Gy, -0.31 to -0.01 Gy, and -12.45% to -2.65% for PTV D99%, PTV D95%, CTV D99%, and CTV V100%, respectively. These were improved using the adaptive plan (-0.03 to 0.01 Gy, -0.02 to 0.00 Gy, -0.03 to 0.00 Gy, and -4.70% to 0.00%, respectively). Increasingly strict triggers resulted in a non-linear increase in the proportion of treatments adapted and improved the distribution of metric values with diminishing returns. Some organ-at-risk (OAR) metrics were compromised by anatomic variation and improved using the adaptive plan, but changes in most OAR metrics were randomly distributed.

conclusionsDaily online ART improved target coverage across multiple pelvic treatment sites and techniques. These effects were larger than those for OAR metrics, suggesting that maintaining target coverage was our primary benefit of CBCT-based daily online ART. Analyses like these can determine online ART triggers from a cost-benefit perspective.

Indexed as

Radiotherapy, Image-GuidedRadiotherapy, Intensity-ModulatedHumansOrgans at RiskPelvisRadiotherapy DosageRadiotherapy Planning, Computer-Assistedadaptive radiotherapyonline ART

Identifiers

PMID37276079
PMCPMC10562041
OpenAlexW4379508829

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.