Evidence map›Paper›PMID 32621011›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2020

Hybrid TRUS/CT with optical tracking for target delineation in image-guided adaptive brachytherapy for cervical cancer.

Stéphanie Smet, Nicole Nesvacil, Johannes Knoth, Alina Sturdza, Dina Najjari-Jamal, Filip Jelinek, Gernot Kronreif, Richard Pötter, Joachim Widder, Christian Kirisits and 1 more

Abstract read
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Transrectal ultrasound for intraoperative interstitial needle guidance in cervical cancer brachytherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024
    Article
  4. Review
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  6. Review
  7. Article
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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

11 authors.

Stéphanie SmetDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Nicole NesvacilDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Johannes KnothDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Alina SturdzaDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Dina Najjari-JamalDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Filip JelinekAustrian Center for Medical Innovation and Technology, Wr. Neustadt, Austria.
Gernot KronreifAustrian Center for Medical Innovation and Technology, Wr. Neustadt, Austria.
Richard PötterDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Joachim WidderDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Christian KirisitsDepartment of Radiation Oncology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Maximilian P SchmidDepartment of Radiation Oncology, Comprehensive Cancer Center, General Hospital of Vienna, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. maximilian.a.schmid@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo prospectively compare the interobserver variability of combined transrectal ultrasound (TRUS)/computed tomography (CT)- vs. CT only- vs. magnetic resonance imaging (MRI) only-based contouring of the high-risk clinical target volume (CTV

methodsFive patients with LACC (FIGO stages IIb-IVa) treated with radiochemotherapy and IGABT were included. CT, TRUS, and T2-weighted MRI images were performed after brachytherapy applicator insertion. 3D-TRUS image acquisition was performed with a customized ultrasound stepper device and software. Automatic applicator reconstruction using optical tracking was performed in the TRUS dataset and TRUS and CT images were fused with rigid image registration with the applicator as reference structure. The CTV

resultsThe interobserver coefficient of variation was 0.18 ± 0.05 for CT, 0.10 ± 0.04 for TRUS-CT, and 0.07 ± 0.03 for MRI. Interobserver concordance in relation to the MRIref expressed by the generalized conformity index was 0.75 ± 0.04 for MRI, 0.51 ± 0.10 for TRUS-CT, and 0.48 ± 0.06 for CT. The mean CTV

conclusionHybrid TRUS-CT as an imaging modality for contouring the CTV

Indexed as

Antineoplastic Agents, AlkylatingBrachytherapyCarcinoma, Squamous CellChemotherapy, AdjuvantCisplatinFemaleHumansMagnetic Resonance ImagingMultimodal ImagingObserver VariationProspective StudiesRadiotherapy, Image-GuidedTomography, X-Ray ComputedUltrasound, High-Intensity Focused, TransrectalUterine Cervical NeoplasmsAntineoplastic Agents, AlkylatingCisplatinContouringImage-guided adaptive brachytherapyLocally advanced cervical cancerMRITransrectal ultrasound

Identifiers

PMID32621011
PMCPMC7653783

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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.