Evidence map›Paper›PMID 34884272›Full record

ArticleJournal of clinical medicine2021

CT Texture Analysis of Pulmonary Neuroendocrine Tumors-Associations with Tumor Grading and Proliferation.

Hans-Jonas Meyer, Jakob Leonhardi, Anne Kathrin Höhn, Johanna Pappisch, Hubert Wirtz, Timm Denecke, Armin Frille

Open access · goldAbstract read
In one paragraph

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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Associations between CT Radiomics Analyses and Hematopoietic Cell Mobilization in Patients with Multiple Myeloma: An Exploratory Analysis.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2026
    Article
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  8. Article
  9. CT texture analysis and node-RADS CT score of mediastinal lymph nodes - diagnostic performance in lung cancer patients.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
    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

7 authors at 2 institutions in 1 country.

Hans-Jonas MeyerDepartment of Diagnostic and Interventional Radiology, University of Leipzig, 04103 Leipzig, Germany.ORCID 0000-0001-8489-706X
Jakob LeonhardiDepartment of Diagnostic and Interventional Radiology, University of Leipzig, 04103 Leipzig, Germany.
Anne Kathrin HöhnDepartment of Pathology, University of Leipzig, 04103 Leipzig, Germany.
Johanna PappischDepartment of Respiratory Medicine, University of Leipzig, 04103 Leipzig, Germany.
Hubert WirtzDepartment of Respiratory Medicine, University of Leipzig, 04103 Leipzig, Germany.
Timm DeneckeDepartment of Diagnostic and Interventional Radiology, University of Leipzig, 04103 Leipzig, Germany.
Armin FrilleDepartment of Respiratory Medicine, University of Leipzig, 04103 Leipzig, Germany.ORCID 0000-0003-2843-3863
Leipzig University · DEIFB Adiposity Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Texture analysis derived from computed tomography (CT) might be able to provide clinically relevant imaging biomarkers and might be associated with histopathological features in tumors. The present study sought to elucidate the possible associations between texture features derived from CT images with proliferation index Ki-67 and grading in pulmonary neuroendocrine tumors. Overall, 38 patients (

Indexed as

computed tomographyneuroendocrine tumortexture analysis

Identifiers

PMID34884272
PMCPMC8658090
OpenAlexW3216815105

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.