Evidence map›Paper›PMID 27350636›Full record

ArticleRadiation oncology (London, England)2016

Feasibility study on image guided patient positioning for stereotactic body radiation therapy of liver malignancies guided by liver motion.

Christian Heinz, Sabine Gerum, Philipp Freislederer, Ute Ganswindt, Falk Roeder, Stefanie Corradini, Claus Belka, Maximilian Niyazi

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Multi-contrast 4DMR via MR multitasking: Early clinical experience and implication for liver stereotactic body radiation therapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2025
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  6. Investigation of tumor and vessel motion correlation in the liver.Journal of applied clinical medical physics · 2020
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  9. BioXmark for high-precision radiotherapy in an orthotopic pancreatic tumor mouse model : Experiences with a liquid fiducial marker.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2017
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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 2 institutions in 1 country.

Christian HeinzDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany. Christian.Heinz@med.uni-muenchen.de.
Sabine GerumDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany.
Philipp FreisledererDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany.
Ute GanswindtDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany.
Falk RoederDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany.
Stefanie CorradiniDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany.
Claus BelkaDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany.
Maximilian NiyaziDepartment of Radiation Oncology, LMU Munich, 81377, Munich, Germany.
LMU Klinikum · DELudwig-Maximilians-Universität München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFiducial markers are the superior method to compensate for interfractional motion in liver SBRT. However this method is invasive and thereby limits its application range. In this retrospective study, the compensation method for the interfractional motion using fiducial markers (gold standard) was compared to a new non-invasive approach, which does rely on the organ motion of the liver and the relative tumor position within this volume.

methodsWe analyzed six patients (3 m, 3f) treated with SBRT in 2014. After fiducial marker implantation, all patients received a treatment CT (free breathing, without abdominal compression) and a 4D-CT (consisting of 10 respiratory phases). For all patients the gross tumor volumes (GTVs), internal target volume (ITV), planning target volume (PTV), internal marker target volumes (IMTVs) and the internal liver target volume (ILTV) were delineated based on the CT and 4D-CT images. CBCT imaging was used for the standard treatment setup based on the fiducial markers. According to the patient coordinates the 3 translational compensation values (t x , t y , t z ) for the interfractional motion were calculated by matching the blurred fiducial markers with the corresponding IMTV structures. 4 observers were requested to recalculate the translational compensation values for each CBCT (31) based on the ILTV structures. The differences of the translational compensation values between the IMTV and ILTV approach were analyzed.

resultsThe magnitude of the mean absolute 3D registration error with regard to the gold standard overall patients and observers was 0.50 cm ± 0.28 cm. Individual registration errors up to 1.3 cm were observed. There was no significant overall linear correlation between the respiratory motion and the registration error of the ILTV approach.

conclusionsTwo different methods to calculate the translational compensation values for interfractional motion in stereotactic liver therapy were evaluated. The registration accuracy of the ILTV approach is mainly limited by the non-rigid behavior of the liver and the individual registration experience of the observer. The ILTV approach lacks the accuracy that would be desired for stereotactic radiotherapy of the liver.

Indexed as

Fiducial MarkersPatient PositioningRadiosurgeryCarcinoma, HepatocellularCone-Beam Computed TomographyFeasibility StudiesFollow-Up StudiesFour-Dimensional Computed TomographyHumansLiver NeoplasmsMotionPrognosisRespirationRetrospective StudiesSurgery, Computer-AssistedCBCTFiducial markerLiverPatient positioningStereotactic body radiation therapy

Identifiers

PMID27350636
PMCPMC4924279
OpenAlexW2469459614

What OpenQuestion holds

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LicenceCC BY
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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.