Evidence map›Paper›PMID 35802593›Full record

ArticlePloS one2022

Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning.

José D Tascón-Vidarte, Line Bjerregaard Stick, Mirjana Josipovic, Signe Risum, Julien Jomier, Kenny Erleben, Ivan Richter Vogelius, Sune Darkner

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 13 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

8 authors at 1 institution in 1 country.

José D Tascón-VidarteDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-8291-4003
Line Bjerregaard StickDepartment of Oncology, Copenhagen, Denmark.
Mirjana JosipovicDepartment of Oncology, Copenhagen, Denmark.ORCID 0000-0001-8288-162X
Signe RisumDepartment of Oncology, Copenhagen, Denmark.
Julien JomierKitware SAS, Villeurbanne, France.
Kenny ErlebenDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0001-6808-4747
Ivan Richter VogeliusDepartment of Oncology, Copenhagen, Denmark.
Sune DarknerDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate the accuracy of intensity-based deformable image registration (DIR) for tumor localization in liver stereotactic body radiotherapy (SBRT). We included 4DCT scans to capture the breathing motion of eight patients receiving SBRT for liver metastases within a retrospective clinical study. Each patient had three fiducial markers implanted. The liver and the tumor were delineated in the mid-ventilation phase, and their positions in the other phases were estimated with deformable image registration. We tested referenced and sequential registrations strategies. The fiducial markers were the gold standard to evaluate registration accuracy. The registration errors related to measured versus estimated fiducial markers showed a mean value less than 1.6mm. The positions of some fiducial markers appeared not stable on the 4DCT throughout the respiratory phases. Markers' center of mass tends to be a more reliable measurement. Distance errors of tumor location based on registration versus markers center of mass were less than 2mm. There were no statistically significant differences between the reference and the sequential registration, i.e., consistency and errors were comparable to resolution errors. We demonstrated that intensity-based DIR is accurate up to resolution level for locating the tumor in the liver during breathing motion.

Indexed as

Liver NeoplasmsRadiosurgeryFour-Dimensional Computed TomographyHumansRadiotherapy Planning, Computer-AssistedRespirationRetrospective Studies

Identifiers

PMID35802593
PMCPMC9269460
OpenAlexW4284976699

What OpenQuestion holds

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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.