Evidence map›Paper›PMID 31341987›Full record

ArticleClinical and translational radiation oncology2019

Prospective quantitative quality assurance and deformation estimation of MRI-CT image registration in simulation of head and neck radiotherapy patients.

Joint Head and Neck MRI-Radiotherapy Development Cooperative, Kendall Kiser, Mohamed A M Meheissen, Abdallah S R Mohamed, Mona Kamal, Sweet Ping Ng, Hesham Elhalawani, Amit Jethanandani, Renjie He, Yao Ding and 12 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical and translational radiation oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.8field-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

17 citing papers in PubMed, 37 citations in OpenAlex.

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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

22 authors at 5 institutions in 4 countries.

Joint Head and Neck MRI-Radiotherapy Development Cooperative
Kendall KiserUniversity of Texas, John P. and Kathrine G. McGovern Medical School, 6431 Fannin Street, Houston, TX 77030, USA.
Mohamed A M MeheissenDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Abdallah S R MohamedDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Mona KamalDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Sweet Ping NgDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Hesham ElhalawaniDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Amit JethanandaniDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Renjie HeDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Yao DingDepartment of Radiation Physics, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Yousri RostomDepartment of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, 17 Champilion Street, Alazarita, Alexandria, Egypt.
Neamat HegazyDepartment of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, 17 Champilion Street, Alazarita, Alexandria, Egypt.
Houda BahigDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Adam GardenDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Stephen LaiDepartment of Head and Neck Surgery, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA.
Jack PhanDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Gary B GunnDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
David RosenthalDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Steven FrankDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Kristy K BrockDepartment of Radiation Physics, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Jihong WangDepartment of Radiation Physics, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
Clifton D FullerDepartment of Radiation Oncology, the University of Texas MD Anderson Cancer Center, The MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USAlexandria University · EGAin Shams University · EGThe University of Texas Health Science Center at Houston · USUniversity of Tennessee Health Science Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
imaging Radiation-Associated Dysphagia (iRAD)R01CA218148 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FULLER, CLIFTON DAVID, HUTCHESON, KATHERINE ARNOLD · 2017 to 2019
$810k
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA218148
6 · The paper itself

Abstract

backgroundMRI-guided radiotherapy planning (MRIgRT) may be superior to CT-guided planning in some instances owing to its improved soft tissue contrast. However, MR images do not communicate tissue electron density information necessary for dose calculation and therefore must either be co-registered to CT or algorithmically converted to synthetic CT. No robust quality assessment of commercially available MR-CT registration algorithms is yet available; thus we sought to quantify MR-CT registration formally.

methodsHead and neck non-contrast CT and T2 MRI scans acquired with standard treatment immobilization techniques were prospectively acquired from 15 patients. Per scan, 35 anatomic regions of interest (ROIs) were manually segmented. MRIs were registered to CT rigidly (RIR) and by three commercially available deformable registration algorithms (DIR). Dice similarity coefficient (DSC), Hausdorff distance mean (HD mean) and Hausdorff distance max (HD max) metrics were calculated to assess concordance between MRI and CT segmentations. Each DIR algorithm was compared to DIR using the nonparametric Steel test with control for individual ROIs (n = 105 tests) and for all ROIs in aggregate (n = 3 tests). The influence of tissue type on registration fidelity was assessed using nonparametric Wilcoxon pairwise tests between ROIs grouped by tissue type (n = 12 tests). Bonferroni corrections were applied for multiple comparisons.

resultsNo DIR algorithm improved the segmentation quality over RIR for any ROI nor all ROIs in aggregate (all p values >0.05). Muscle and gland ROIs were significantly more concordant than vessel and bone, but DIR remained non-different from RIR.

conclusionsFor MR-CT co-registration, our results question the utility and applicability of commercially available DIR over RIR alone. The poor overall performance also questions the feasibility of translating tissue electron density information to MRI by CT registration, rather than addressing this need with synthetic CT generation or bulk-density assignment.

Indexed as

CT, computed tomographyCT-MRI image registrationDeformable image registrationDICOM, digital imaging and communications in medicineDIR, deformable image registrationDSC, dice similarity coefficientHD max, Hausdorff maximum distanceHD mean, Hausdorff mean distanceHNC, head and neck cancerHPV, human papillomavirusHU, Hounsfield unitsIMRT, intensity-modulated radiation therapyMAE, mean absolute errorMRIgRT, MRI-guided radiotherapy planningMRI-guided radiotherapyMRI, magnetic resonance imagingMRL, MRI linear acceleratorOAR, organ(s) at riskQuality assessmentRigid image registrationRIR, rigid image registrationRT, radiation therapysCT, synthetic computed tomography

Identifiers

PMID31341987
PMCPMC6630195
OpenAlexW2940573723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.