Evidence map›Paper›PMID 27661405›Full record

ArticleTranslational oncology2016

Diffusion-Weighted Imaging Using a Readout-Segmented, Multishot EPI Sequence at 3 T Distinguishes between Morphologically Differentiated and Undifferentiated Subtypes of Thyroid Carcinoma-A Preliminary Study.

Stefan Schob, Peter Voigt, Lionel Bure, Hans-Jonas Meyer, Claudia Wickenhauser, Curd Behrmann, Annekathrin Höhn, Paul Kachel, Henning Dralle, Karl-Titus Hoffmann and 1 more

Abstract read
In one paragraph

Article in Translational oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  12. Diffusion profiling of tumor volumes using a histogram approach can predict proliferation and further microarchitectural features in medulloblastoma.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2018
    Article
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  16. Preclinical Imaging for the Study of Mouse Models of Thyroid Cancer.International journal of molecular sciences · 2017
    Review
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  18. Article
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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

11 authors.

Stefan SchobDepartment of Neuroradiology, University Leipzig, Leipzig, Germany. Electronic address: stefan.Schob@medizin.uni-leipzig.de.
Peter VoigtDepartment of Diagnostic and Interventional Radiology, University Leipzig, Leipzig, Germany.
Lionel BureDepartment of Radiology, McGill University Health Center, Montreal General Hospital, Quebec, Canada.
Hans-Jonas MeyerDepartment of Diagnostic Radiology, Martin Luther University Halle-Wittenberg, Leipzig, Germany.
Claudia WickenhauserDepartment of Pathology, Martin Luther University Halle-Wittenberg, Leipzig, Germany.
Curd BehrmannDepartment of Diagnostic Radiology, Martin Luther University Halle-Wittenberg, Leipzig, Germany.
Annekathrin HöhnDepartment of Pathology, University Leipzig, Leipzig, Germany.
Paul KachelDepartment of General, Visceral and Vascular Surgery, Martin Luther University Halle-Wittenberg, Leipzig, Germany.
Henning DralleDepartment of General, Visceral and Vascular Surgery, Martin Luther University Halle-Wittenberg, Leipzig, Germany.
Karl-Titus HoffmannDepartment of Neuroradiology, University Leipzig, Leipzig, Germany.
Alexey SurovDepartment of Diagnostic and Interventional Radiology, University Leipzig, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThyroid carcinomas represent the most frequent endocrine malignancies. Recent studies were able to distinguish malignant from benign nodules of the thyroid gland with diffusion-weighted imaging (DWI). Although this differentiation is undoubtedly helpful, presurgical discrimination between well-differentiated and undifferentiated carcinomas would be crucial to define the optimal treatment algorithm. Therefore, the aim of this study was to investigate if readout-segmented multishot echo planar DWI is able to differentiate between differentiated and undifferentiated subtypes of thyroid carcinomas. PATIENTS AND

methodsFourteen patients with different types of thyroid carcinomas who received preoperative DWI were included in our study. In all lesions, apparent diffusion coefficient (ADC)min, ADCmean, ADCmax, and D were estimated on the basis of region of interest measurements after coregistration with T1-weighted, postcontrast images. All tumors were resected and analyzed histopathologically. Ki-67 index, p53 synthesis, cellularity, and total and average nucleic areas were estimated using ImageJ version 1.48.

resultsAnalysis of variance revealed a statistically significant difference in ADCmean values between differentiated and undifferentiated thyroid carcinomas (P=.022). Spearman Rho calculation identified significant correlations between ADCmax and cell count (r=0.541, P=.046) as well as between ADCmax and total nuclei area (r=0.605, P=.022).

conclusionDWI can distinguish between differentiated and undifferentiated thyroid carcinomas.

Identifiers

PMID27661405
PMCPMC5035355

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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.