Evidence map›Paper›PMID 34173008›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2021

Fully automated analysis combining [

K J Paprottka, S Kleiner, C Preibisch, F Kofler, F Schmidt-Graf, C Delbridge, D Bernhardt, S E Combs, J Gempt, B Meyer and 5 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
3.3field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. DEGRO practical guideline for central nervous system radiation necrosis part 1: classification and a multistep approach for diagnosis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
    Guideline
  5. Pooled it
  6. Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Resolving spatial response heterogeneity in glioblastoma.European journal of nuclear medicine and molecular imaging · 2024
    Article
  14. Article
  15. Assessment of Brain Tumour Perfusion Using Early-PhaseMolecular imaging and biology · 2024
    Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. HybridJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023
    Article
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

15 authors at 3 institutions in 1 country.

K J PaprottkaDepartment of Neuroradiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. karolin.paprottka@tum.de.
S KleinerDepartment of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
C PreibischDepartment of Neuroradiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
F KoflerDepartment of Neuroradiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
F Schmidt-GrafDepartment of Neurology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
C DelbridgeDepartment of Neuropathology and Pathology, TUM School of Medicine, Technical University of Munich, Trogerstr.18, 81675, Munich, Germany.
D BernhardtDepartment of Radiation Oncology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
S E CombsDepartment of Radiation Oncology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
J GemptDepartment of Neurosurgery, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
B MeyerDepartment of Neurosurgery, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
C ZimmerDepartment of Neuroradiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
B H MenzeImage-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany.
I YakushevDepartment of Nuclear Medicine, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
J S KirschkeDepartment of Neuroradiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
B WiestlerDepartment of Neuroradiology, TUM School of Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
Klinikum rechts der Isar · DETechnical University of Munich · DEGerman Marine Research Consortium · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate diagnostic accuracy of fully automated analysis of multimodal imaging data using [ MATERIAL AND

methodsAt suspected tumor progression, MRI and [

resultsIn 57/74 cases (77%), tumor progression was confirmed histopathologically (39 cases) or via follow-up imaging (18 cases), while remaining 17 cases were diagnosed as treatment-related changes. The classification accuracy of the Random Forest classifier was 0.86, 95% CI 0.77-0.93 (sensitivity 0.91, 95% CI 0.81-0.97; specificity 0.71, 95% CI 0.44-0.9), significantly above the no-information rate of 0.77 (p = 0.03), and higher compared to an accuracy of 0.82 for MRI (95% CI 0.72-0.9), 0.81 for [

conclusionAutomated, joint image analysis of [

Indexed as

Brain NeoplasmsGliomaMultiparametric Magnetic Resonance ImagingAmidesHumansMagnetic Resonance ImagingPerfusionPositron-Emission TomographyProtonsRetrospective StudiesTyrosineAmidesProtonsTyrosine[18F]-FET-PETAPTwB. coshared lastDSC perfusionFully automatedGlioma progressionJ. S. and WiestlerKirschkeMultiparametric MRI

Identifiers

PMID34173008
PMCPMC8566389
OpenAlexW3177238663

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.