Evidence map›Paper›PMID 31470860›Full record

ArticleRadiation oncology (London, England)2019

Assessment of setup uncertainty in hypofractionated liver radiation therapy with a breath-hold technique using automatic image registration-based image guidance.

Gye Won Choi, Yelin Suh, Prajnan Das, Joseph Herman, Emma Holliday, Eugene Koay, Albert C Koong, Sunil Krishnan, Bruce D Minsky, Grace L Smith and 2 more

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2019. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Review
  4. Impact on liver position under breath-hold by computed tomography contrast agents in stereotactic body radiotherapy of liver cancer.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2021
    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

12 authors.

Gye Won ChoiDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Yelin SuhDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Prajnan DasDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Joseph HermanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Emma HollidayDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Eugene KoayDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Albert C KoongDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Sunil KrishnanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Bruce D MinskyDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Grace L SmithDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Cullen M TaniguchiDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Sam BeddarDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. abeddar@mdanderson.org.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

backgroundTarget localization in radiation therapy is affected by numerous sources of uncertainty. Despite measures to minimize the breathing motion, the treatment of hypofractionated liver radiation therapy is further challenged by residual uncertainty coming from involuntary organ motion and daily changes in the shape and location of abdominal organs. To address the residual uncertainty, clinics implement image-guided radiation therapy at varying levels of soft-tissue contrast. This study utilized the treatment records from the patients that have received hypofractionated liver radiation therapy using in-room computed tomography (CT) imaging to assess the setup uncertainty and to estimate the appropriate planning treatment volume (PTV) margins in the absence of in-room CT imaging.

methodsWe collected 917 pre-treatment daily in-room CT images from 69 patients who received hypofractionated radiation therapy to the liver with the inspiration breath-hold technique. For each treatment, the daily CT was initially aligned to the planning CT based on the shape of the liver automatically using a CT-CT alignment software. After the initial alignment, manual shift corrections were determined by visual inspection of the two images, and the corrections were applied to shift the patient to the physician-approved treatment position. Considering the final alignment as the gold-standard setup, systematic and random uncertainties in the automatic alignment were quantified, and the uncertainties were used to calculate the PTV margins.

resultsThe median discrepancy between the final and automatic alignment was 1.1 mm (0-24.3 mm), and 38% of treated fractions required manual corrections of ≥3 mm. The systematic uncertainty was 1.5 mm in the anterior-posterior (AP) direction, 1.1 mm in the left-right (LR) direction, and 2.4 mm in the superior-inferior (SI) direction. The random uncertainty was 2.2 mm in the AP, 1.9 mm in the LR, and 2.2 mm in the SI direction. The PTV margins recommended to be used in the absence of in-room CT imaging were 5.3 mm in the AP, 3.5 mm in the LR, and 5.1 mm in the SI direction.

conclusionsManual shift correction based on soft-tissue alignment is substantial in the treatment of the abdominal region. In-room CT can reduce PTV margin by up to 5 mm, which may be especially beneficial for dose escalation and normal tissue sparing in hypofractionated liver radiation therapy.

Indexed as

Breath HoldingCone-Beam Computed TomographyHumansImage Processing, Computer-AssistedLiver NeoplasmsPrognosisRadiation Dose HypofractionationRadiotherapy, Image-GuidedRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUncertaintyIGRTIn-room CTLiver radiotherapyPTV marginSetup uncertainty

Identifiers

PMID31470860
PMCPMC6717376

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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.