Evidence map›Paper›PMID 30284155›Full record

ArticleMolecular imaging and biology2019

Histogram Analysis Parameters Derived from Conventional T1- and T2-Weighted Images Can Predict Different Histopathological Features Including Expression of Ki67, EGFR, VEGF, HIF-1α, and p53 and Cell Count in Head and Neck Squamous Cell Carcinoma.

Hans Jonas Meyer, Leonard Leifels, Gordian Hamerla, Anne Kathrin Höhn, Alexey Surov

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Article in Molecular imaging and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

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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

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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

15 citing papers in PubMed, 24 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Hans Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany. Hans-Jonas.Meyer@medizin.uni-leipzig.de.
Leonard LeifelsDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Gordian HamerlaDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.
Anne Kathrin HöhnDepartment of Pathology, University of Leipzig, Liebigstraße 26, 04103, Leipzig, Germany.
Alexey SurovDepartment of Diagnostic and Interventional Radiology, University of Leipzig, Liebigstraße 20, 04103, Leipzig, Germany.ORCID 0000-0002-9273-3943
Leipzig University · DEUniversity Hospital Leipzig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze associations between histogram analysis parameters derived from conventional magnetic resonance imaging (MRI) and different histopathological features in head and neck squamous cell carcinoma (HNSCC). PROCEDURES: Thirty-four patients with histologically proven primary HNSCC were prospectively acquired. Histogram analysis was derived from pre-contrast T1-weighted (T1w) and T2-weighted (T2w) images. In all cases, expression of HIF-1α, VEGF, EGFR, p53, Ki67, and p16 as well as tumor cell count was analyzed.

resultsIn the overall sample, inverse correlation between entropy derived from T1w images and p53 expression (p = - 0.458, P = 0.01) was found. Furthermore, p10 derived from T1w images correlated with VEGF expression (p = 0.371, P = 0.04). In the p16-positive tumors, VEGF expression correlated with several parameters derived from T1w images: mean (p = 0.481, P = 0.032), p10 (p = 0.489, P = 0.029), p25 (p = 0.475, P = 0.034), median (p = 0.468, P = 0.037), and mode (p = 0.492, P = 0.028). Several T2w parameters were associated with p53 expression: mean (p = 0.569, P = 0.007), p25 (p = 0.508, P = 0.019), p75 (p = 0.479, P = 0.028), median (p = 0.555, P = 0.009), and mode (p = 0.468, P = 0.033). Kurtosis derived from T2w images correlated with cell count (p = 0.534, P = 0.013). In p16-negative carcinomas, T2w parameters correlated with p53 expression: max (p = 0.736, P = 0.015), p90 (p = 0.687, P = 0.028), and standard deviation (p = 0.760, P = 0.011). T2w p10 (p = - 0.709, P = 0.022) and T2w p25 (p = - 0.733, P = 0.016) correlated also with HIF-1α expression.

conclusionsMultiple associations between histogram parameters derived from T1w and T2w images and clinically relevant histopathological features were found in HNSCC. Therefore, imaging parameters can be also used as surrogate markers for tumor cellularity, proliferation, and vascularization in HNSCC. The identified correlations differed significantly between p16-positive and p16-negative cancers.

Indexed as

Magnetic Resonance ImagingAdultAgedCell CountChromobox Protein Homolog 5ErbB ReceptorsFemaleHumansHypoxia-Inducible Factor 1, alpha SubunitKi-67 AntigenMaleMiddle AgedSquamous Cell Carcinoma of Head and NeckTumor Suppressor Protein p53Vascular Endothelial Growth Factor ACBX5 protein, humanChromobox Protein Homolog 5EGFR protein, humanErbB ReceptorsHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitKi-67 AntigenTumor Suppressor Protein p53Vascular Endothelial Growth Factor AHead and neck cancerHistogram analysisKi67MRIp16

Identifiers

PMID30284155
OpenAlexW2894964438

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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.