Evidence map›Paper›PMID 34441747›Full record

ArticleJournal of clinical medicine2021

ADC-Based Stratification of Molecular Glioma Subtypes Using High b-Value Diffusion-Weighted Imaging.

Nils C Nuessle, Felix Behling, Ghazaleh Tabatabai, Salvador Castaneda Vega, Jens Schittenhelm, Ulrike Ernemann, Uwe Klose, Johann-Martin Hempel

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Article in Journal of clinical medicine, 2021. 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
–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

6 citing papers in PubMed.

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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.

Nils C NuessleDepartment of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, Germany.
Felix BehlingDepartment of Neurosurgery, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, Germany.ORCID 0000-0002-1083-1276
Ghazaleh TabatabaiDepartments of Neurology and Interdisciplinary Neuro-Oncology, University Hospital Tübingen, Hertie Institute for Clinical Brain Research, Eberhard Karls University, 72076 Tübingen, Germany.
Salvador Castaneda VegaWerner Siemens Imaging Center, Department of Preclinical Imaging and Radiopharmacy, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, Germany.
Jens SchittenhelmDepartment of Pathology and Neuropathology, University Hospital Tübingen, Institute of Neuropathology, Eberhard Karls University, 72076 Tübingen, Germany.ORCID 0000-0002-9168-6209
Ulrike ErnemannDepartment of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, Germany.
Uwe KloseDepartment of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, Germany.ORCID 0000-0001-5236-3450
Johann-Martin HempelDepartment of Neuroradiology, University Hospital Tübingen, Eberhard Karls University, 72076 Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the diagnostic performance of in vivo ADC-based stratification of integrated molecular glioma grades. MATERIALS AND

methodsNinety-seven patients with histopathologically confirmed glioma were evaluated retrospectively. All patients underwent pre-interventional MRI-examination including diffusion-weighted imaging (DWI) with implemented b-values of 500, 1000, 1500, 2000, and 2500 s/mm

resultsTwo b-value-dependent ADC-based evaluations presented statistically significant differences between the three molecular glioma sub-groups (

conclusionsHigh-b-value ADC from preoperative DWI may be used to stratify integrated molecular glioma subgroups and save time compared to diffusion kurtosis imaging. Higher b-values of up to 2500 s/mm

Indexed as

ADCdiffusion kurtosis imagingdiffusion-weighted imagingDKIDWIglioma

Identifiers

PMID34441747
PMCPMC8397197

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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.