Evidence map›Paper›PMID 34801089›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2021

Associations between dynamic-contrast enhanced MRI and tumor infiltrating lymphocytes and tumor-stroma ratio in head and neck squamous cell cancer.

Hans-Jonas Meyer, Anne Kathrin Höhn, Alexey Surov

Open access · goldAbstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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  4. DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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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

3 authors at 3 institutions in 1 country.

Hans-Jonas Meyer *Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany. Hans-jonas.meyer@medizin.uni-leipzig.de.ORCID http://orcid.org/0000-0001-8489-706X
Anne Kathrin Höhn *Department of Pathology, University of Leipzig, Leipzig, Germany.
Alexey Surov *Department of Radiology and Nuclear Medicine, University of Magdeburg, Magdeburg, Germany.
Leipzig University · DEUniversity Hospital Leipzig · DEUniversity Hospital Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study used dynamic-contrast enhanced MRI (DCE-MRI) to elucidate possible associations with tumor-infiltrating lymphocytes (TIL), stroma ratio and vimentin expression in head and neck squamous cell cancer (HNSCC).

methodsOverall, 26 patients with primary HNSCC of different localizations were involved in the study. DCE-MRI was obtained on a 3 T MRI and analyzed with a whole lesion measurement using a histogram approach. TIL- and vimentin-expression was calculated on bioptic samples before any form of treatment. P16 staining was used to define HPV-status.

resultsTumor-stroma ratio correlated with entropy derived from K

conclusionsDCE-MRI might be able to reflect tumor compartments and TIL expression in HNSCC. The most promising parameters were values derived from K

Indexed as

Head and Neck NeoplasmsLymphocytes, Tumor-InfiltratingContrast MediaHumansMagnetic Resonance ImagingSquamous Cell Carcinoma of Head and NeckContrast MediaDynamic contrast enhanced-MRIHead and neck squamous cell cancerHistogram analysisTumor infiltrating lymphocyte

Identifiers

PMID34801089
PMCPMC8606096
OpenAlexW3216183342

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.