Evidence map›Paper›PMID 38260830›Full record

ArticleFrontiers in oncology2023

Simulating an intra-fraction adaptive workflow to enable PTV margin reduction in MRIgART volumetric modulated arc therapy for prostate SBRT.

Jeffrey Snyder, Blake Smith, Joel St Aubin, Andrew Shepard, Daniel Hyer

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06542159 (Elimination of PTV Margins Based on Online Adaptive Stereotactic Radiotherapy for Early-stage Non-small Cell Lung Cancer or Pulmonary Oligometastases), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 19% 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.

NCT06542159 phase2recruitingnot on this mapstarted 2024, after this paper: background citation

Elimination of PTV Margins Based on Online Adaptive Stereotactic Radiotherapy for Early-stage Non-small Cell Lung Cancer or Pulmonary Oligometastases: a Prospective, Randomized, Controlled Phase II Study

TypeinterventionalSponsorSun Yat-sen UniversityRan2024 to 2028Enrolled130ConditionsAdaptive Radiotherapy, Stereotactic Body Radiotherapy, Non-small Cell Lung Cancer, Lung OligometastasesArmsOnline adaptive SBRT, Conventional SBRT
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Jeffrey SnyderDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
Blake SmithDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
Joel St AubinDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
Andrew ShepardDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
Daniel HyerDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, IA, United States.
University of Iowa Hospitals and Clinics · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study simulates a novel prostate SBRT intra-fraction re-optimization workflow in MRIgART to account for prostate intra-fraction motion and evaluates the dosimetric benefit of reducing PTV margins. Materials and methods: VMAT prostate SBRT treatment plans were created for 10 patients using two different PTV margins, one with a 5 mm margin except 3 mm posteriorly (standard) and another using uniform 2 mm margins (reduced). All plans were prescribed to 36.25 Gy in 5 fractions and adapted onto each daily MRI dataset. An intra-fraction adaptive workflow was simulated for the reduced margin group by synchronizing the radiation delivery with target position from cine MRI imaging. Intra-fraction delivered dose was reconstructed and prostate DVH metrics were evaluated under three conditions for the reduced margin plans: Without motion compensation (no-adapt), with a single adapt prior to treatment (ATP), and lastly for intra-fraction re-optimization during delivery (intra). Bladder and rectum DVH metrics were compared between the standard and reduced margin plans. Results: As expected, rectum V18 Gy was reduced by 4.4 ± 3.9%, D1cc was reduced by 12.2 ± 6.8% (3.4 ± 2.3 Gy), while bladder reductions were 7.8 ± 5.6% for V18 Gy, and 9.6 ± 7.3% (3.4 ± 2.5 Gy) for D1cc for the reduced margin reference plans compared to the standard PTV margin. For the intrafraction replanning approach, average intra-fraction optimization times were 40.0 ± 2.9 seconds, less than the time to deliver one of the four VMAT arcs (104.4 ± 9.3 seconds) used for treatment delivery. When accounting for intra-fraction motion, prostate V36.25 Gy was on average 96.5 ± 4.0%, 99.1 ± 1.3%, and 99.6 ± 0.4 for the non-adapt, ATP, and intra-adapt groups, respectively. The minimum dose received by the prostate was less than 95% of the prescription dose in 84%, 36%, and 10% of fractions, for the non-adapt, ATP, and intra-adapt groups, respectively. Conclusions: Intra-fraction re-optimization improves prostate coverage, specifically the minimum dose to the prostate, and enables PTV margin reduction and subsequent OAR sparing. Fast re-optimizations enable uninterrupted treatment delivery.

Indexed as

adaptiveintra-fractionMRIgRTMR-linacprostate SBRT treatmenttrackingVMAT (volumetric modulated arc therapy)

Identifiers

PMID38260830
PMCPMC10800949
OpenAlexW4390664904

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.