Evidence map›Paper›PMID 37276082›Full record

ArticleJournal of applied clinical medical physics2023

Influence of air mapping errors on the dosimetric accuracy of prostate CBCT-guided online adaptive radiation therapy.

Olga M Dona Lemus, Sean Tanny, Michael Cummings, Matthew Webster, Joshua Wancura, Hyunuk Jung, Yuwei Zhou, Jihyung Yoon, Matthew Pacella, Dandan Zheng

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 12 citations in OpenAlex.

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  12. MU variability in CBCT-guided online adaptive radiation therapy.Journal of applied clinical medical physics · 2024
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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 1 institution in 1 country.

Olga M Dona LemusDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.ORCID https://orcid.org/0000-0002-0915-9187
Sean TannyDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Michael CummingsDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Matthew WebsterDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Joshua WancuraDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Hyunuk JungDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Yuwei ZhouDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Jihyung YoonDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Matthew PacellaDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
Dandan ZhengDepartment of Radiation Oncology, University of Rochester Medical Center, New York, New York, USA.
University of Rochester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCBCT-guided online adaptive radiotherapy (oART) plans presently utilize daily synthetic CTs (sCT) that are automatically generated using deformable registration algorithms. These algorithms may have poor performance at reproducing variable volumes of gas present during treatment. Therefore, we have analyzed the air mapping error between the daily CBCTs and the corresponding sCT and explored its dosimetric effect on oART plan calculation.

methodsAbdominopelvic air volume was contoured on both the daily CBCT images and the corresponding synthetic images for 207 online adaptive pelvic treatments. Air mapping errors were tracked over all fractions. For two case studies representing worst case scenarios, dosimetric effects of air mapping errors were corrected in the sCT images using the daily CBCT air contours, then recalculating dose. Dose volume histogram statistics and 3D gamma passing rates were used to compare the original and air-corrected sCT-based dose calculations.

resultsAll analyzed patients showed observable air pocket contour differences between the sCT and the CBCT images. The largest air volume difference observed in daily CBCT images for a given patient was 276.3 cc, a difference of more than 386% compared to the sCT. For the two case studies, the largest observed change in DVH metrics was a 2.6% reduction in minimum PTV dose, with all other metrics varying by less than 1.5%. 3D gamma passing rates using 1%/1 mm criteria were above 90% when comparing the uncorrected and corrected dose distributions.

conclusionCurrent CBCT-based oART workflow can lead to inaccuracies in the mapping of abdominopelvic air pockets from daily CBCT to the sCT images used for the optimization and calculation of the adaptive plan. Despite the large observed mapping errors, the dosimetric effects of such differences on the accuracy of the adapted plan dose calculation are unlikely to cause differences greater than 3% for prostate treatments.

Indexed as

ProstateSpiral Cone-Beam Computed TomographyCone-Beam Computed TomographyHumansMaleRadiotherapy DosageRadiotherapy Planning, Computer-Assistedadaptive therapyair mapping errorsprostate cancersynthetic CT

Identifiers

PMID37276082
PMCPMC10562036
OpenAlexW4379508727

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.