Evidence map›Paper›PMID 30112797›Full record

ArticleJournal of applied clinical medical physics2018

Evaluation of automatic contour propagation in T2-weighted 4DMRI for normal-tissue motion assessment using internal organ-at-risk volume (IRV).

Jingjing Zhang, Svetlana Markova, Alejandro Garcia, Kirk Huang, Xingyu Nie, Wookjin Choi, Wei Lu, Abraham Wu, Andreas Rimner, Guang Li

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2018. 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.

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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.

Jingjing ZhangDepartment of Radiation Oncology, Zhongshan Hospital of Sun Yat-Sen University, Zhongshan, China.
Svetlana MarkovaDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Alejandro GarciaDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Kirk HuangDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Xingyu NieDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Wookjin ChoiDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Wei LuDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.
Abraham WuDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Andreas RimnerDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Guang LiDepartment of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Summer research experiences for medical students supervised by faculty mentorsR25CA020449 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Charlotte Eielson Ariyan · 1985 to 2026
$6.2M
Quantitative PET/CT Analysis to Improve Evaluation of Tumor ResponseR01CA172638 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI LU, WEI · 2013 to 2016
$1.3M
MSK Cancer Center Support Grant/Core Grant P30 CA008748NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA172638NCI NIH HHS R25 CA020449NIH HHS R01 CA172638
6 · The paper itself

Abstract

purposeThe purpose of this study was to evaluate the quality of automatically propagated contours of organs at risk (OARs) based on respiratory-correlated navigator-triggered four-dimensional magnetic resonance imaging (RC-4DMRI) for calculation of internal organ-at-risk volume (IRV) to account for intra-fractional OAR motion. METHODS AND MATERIALS: T2-weighted RC-4DMRI images were of 10 volunteers acquired and reconstructed using an internal navigator-echo surrogate and concurrent external bellows under an IRB-approved protocol. Four major OARs (lungs, heart, liver, and stomach) were delineated in the 10-phase 4DMRI. Two manual-contour sets were delineated by two clinical personnel and two automatic-contour sets were propagated using free-form deformable image registration. The OAR volume variation within the 10-phase cycle was assessed and the IRV was calculated as the union of all OAR contours. The OAR contour similarity between the navigator-triggered and bellows-rebinned 4DMRI was compared. A total of 2400 contours were compared to the most probable ground truth with a 95% confidence level (S95) in similarity, sensitivity, and specificity using the simultaneous truth and performance level estimation (STAPLE) algorithm.

resultsVisual inspection of automatically propagated contours finds that approximately 5-10% require manual correction. The similarity, sensitivity, and specificity between manual and automatic contours are indistinguishable (P > 0.05). The Jaccard similarity indexes are 0.92 ± 0.02 (lungs), 0.89 ± 0.03 (heart), 0.92 ± 0.02 (liver), and 0.83 ± 0.04 (stomach). Volume variations within the breathing cycle are small for the heart (2.6 ± 1.5%), liver (1.2 ± 0.6%), and stomach (2.6 ± 0.8%), whereas the IRV is much larger than the OAR volume by: 20.3 ± 8.6% (heart), 24.0 ± 8.6% (liver), and 47.6 ± 20.2% (stomach). The Jaccard index is higher in navigator-triggered than bellows-rebinned 4DMRI by 4% (P < 0.05), due to the higher image quality of navigator-based 4DMRI.

conclusionAutomatic and manual OAR contours from Navigator-triggered 4DMRI are not statistically distinguishable. The navigator-triggered 4DMRI image provides higher contour quality than bellows-rebinned 4DMRI. The IRVs are 20-50% larger than OAR volumes and should be considered in dose estimation.

Indexed as

Magnetic Resonance ImagingAlgorithmsHumansMotionRadiotherapy Planning, Computer-AssistedRespirationRetrospective Studiesdeformable image registration and automatic contour propagationfour-dimensional magnetic resonance imagingnormal tissue and organ contouringrespiratory-induced organ motiontreatment planning

Identifiers

PMID30112797
PMCPMC6123161

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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.