Evidence map›Paper›PMID 31969174›Full record

ArticleRadiation oncology (London, England)2020

Contrast-enhanced, conebeam CT-based, fractionated radiotherapy and follow-up monitoring of orthotopic mouse glioblastoma: a proof-of-concept study.

Benjamin Stegen, Alexander Nieto, Valerie Albrecht, Jessica Maas, Michael Orth, Klement Neumaier, Sabine Reinhardt, Moritz Weick-Kleemann, Wilfried Goetz, Merle Reinhart and 4 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2020. 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
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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  4. Longitudinal [Biomedicines · 2022
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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

14 authors at 2 institutions in 1 country.

Benjamin StegenDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Alexander NietoDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Valerie AlbrechtDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Jessica MaasDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Michael OrthDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Klement NeumaierDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Sabine ReinhardtDepartment of Medical Physics, Ludwig-Maximilians-Universität München, Munich, Germany.
Moritz Weick-KleemannDepartment of Medical Physics, Ludwig-Maximilians-Universität München, Munich, Germany.
Wilfried GoetzX-Strahl Inc., Suwanee, GA, USA.
Merle ReinhartX-Strahl Inc., Suwanee, GA, USA.
Katia ParodiDepartment of Medical Physics, Ludwig-Maximilians-Universität München, Munich, Germany.
Claus BelkaDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Maximilian NiyaziDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany.
Kirsten LauberDepartment of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377, Munich, Germany. kirsten.lauber@med.uni-muenchen.de.ORCID http://orcid.org/0000-0002-8141-0452
Ludwig-Maximilians-Universität München · DEGerman Cancer Research Center · DE

Funding

Bundesministerium für Bildung und Forschung DKTKDeutsche Forschungsgemeinschaft INST 409/126-1 FUGGDeutsche Forschungsgemeinschaft INST 409/20-1 FUGGDeutsche Forschungsgemeinschaft INST 409/22-1 FUGGLMU Muenchen Medical Faculty FoeFoLe Program
6 · The paper itself

Abstract

backgroundDespite aggressive treatment regimens comprising surgery and radiochemotherapy, glioblastoma (GBM) remains a cancer entity with very poor prognosis. The development of novel, combined modality approaches necessitates adequate preclinical model systems and therapy regimens that closely reflect the clinical situation. So far, image-guided, fractionated radiotherapy of orthotopic GBM models represents a major limitation in this regard.

methodsGL261 mouse GBM cells were inoculated into the right hemispheres of C57BL/6 mice. Tumor growth was monitored by contrast-enhanced conebeam CT (CBCT) scans. When reaching an average volume of approximately 7 mm

resultsTumors were successfully visualized by contrast-enhanced CBCT scans with a detection limit of approximately 2 mm

conclusionsContrast-enhanced, CT-based, fractionated radiation of orthotopic mouse GBM represents a versatile preclinical technique for the development and evaluation of multimodal radiotherapeutic approaches in combination with novel therapeutic agents in order to accelerate translation into clinical testing.

Indexed as

Disease Models, AnimalAnimalsBrainBrain NeoplasmsCell Line, TumorCone-Beam Computed TomographyContrast MediaDose Fractionation, RadiationFemaleFollow-Up StudiesGlioblastomaMiceMice, Inbred C57BLRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedTreatment OutcomeContrast MediaMolecular radiation oncologyOrthotopic glioblastomaPreclinical radiotherapySamll animal radiotherapySmall animal radiation platformsSmall animal tumor models

Identifiers

PMID31969174
PMCPMC6977274
OpenAlexW3004492365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.