Evidence map›Paper›PMID 36729373›Full record

ArticleJournal of applied clinical medical physics2023

Clinical experience on patient-specific quality assurance for CBCT-based online adaptive treatment plan.

Chenyang Shen, Liyuan Chen, Xinran Zhong, Yesenia Gonzalez, Justin Visak, Boyu Meng, Enobong Inam, David Parsons, Andrew Godley, Steve Jiang and 2 more

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. MU variability in CBCT-guided online adaptive radiation therapy.Journal of applied clinical medical physics · 2024
    Article
  5. Article
  6. Article
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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

12 authors at 1 institution in 1 country.

Chenyang ShenDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Liyuan ChenDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Xinran ZhongDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Yesenia GonzalezDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Justin VisakDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Boyu MengDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Enobong InamDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
David ParsonsDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Andrew GodleyDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Steve JiangDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Bin CaiDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Mu-Han LinDepartment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEthos CBCT-based adaptive radiotherapy (ART) system can generate an online adaptive plan by re-optimizing the initial reference plan based on the patient anatomy at the treatment. The optimization process is fully automated without any room for human intervention. Due to the change in anatomy, the ART plan can be significantly different from the initial plan in terms of plan parameters such as the aperture shapes and number of monitor units (MUs). In this study, we investigated the feasibility of using calculation-based patient specific QA for ART plans in conjunction with measurement-based and calculation-based QA for initial plans to establish an action level for the online ART patient-specific QA.

methodsA cohort of 98 cases treated on CBCT-based ART system were collected for this study. We performed measurement-based QA using ArcCheck and calculation-based QA using Mobius for both the initial plan and the ART plan for analysis. For online the ART plan, Mobius calculation was conducted prior to the delivery, while ArcCheck measurement was delivered on the same day after the treatment. We first investigated the modulation factors (MFs) and MU numbers of the initial plans and ART plans, respectively. The γ passing rates of initial and ART plan QA were analyzed. Then action limits were derived for QA calculation and measurement for both initial and online ART plans, respectively, from 30 randomly selected patient cases, and were evaluated using the other 68 patient cases.

resultsThe difference in MF between initial plan and ART-plan was 12.9% ± 12.7% which demonstrates their significant difference in plan parameters. Based on the patient QA results, pre-treatment calculation and measurement results are generally well aligned with ArcCheck measurement results for online ART plans, illustrating their feasibility as an indicator of failure in online ART QA measurements. Furthermore, using 30 randomly selected patient cases, the γ analysis action limit derived for initial plans and ART plans are 89.6% and 90.4% in ArcCheck QA (2%/2 mm) and are 92.4% and 93.6% in Mobius QA(3%/2 mm), respectively. According to the calculated action limits, the ArcCheck measurements for all the initial and ART plans passed QA successfully while the Mobius calculation action limits flagged seven and four failure cases respectively for initial plans and ART plans, respectively.

conclusionAn ART plan can be substantially different from the initial plan, and therefore a separate session of ART plan QA is needed to ensure treatment safety and quality. The pre-treatment QA calculation via Mobius can serve as a reliable indicator of failure in online ART plan QA. However, given that Ethos ART system is still relatively new, ArcCheck measurement of initial plan is still in practice. It may be skipped as we gain more experience and have better understanding of the system.

Indexed as

Radiotherapy, Intensity-ModulatedSpiral Cone-Beam Computed TomographyHumansQuality Assurance, Health CareRadiotherapy DosageRadiotherapy Planning, Computer-Assistedadaptive radiotherapypatient-specific QA

Identifiers

PMID36729373
PMCPMC10113688
OpenAlexW4318913133

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.