Evidence map›Paper›PMID 36766547›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Texture Analysis in Uterine Cervix Carcinoma: Primary Tumour and Lymph Node Assessment.

Paul-Andrei Ștefan, Adrian Coțe, Csaba Csutak, Roxana-Adelina Lupean, Andrei Lebovici, Carmen Mihaela Mihu, Lavinia Manuela Lenghel, Marius Emil Pușcas, Andrei Roman, Diana Feier

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

10 authors.

Paul-Andrei ȘtefanDepartment of Biomedical Imaging and Image-Guided Therapy, General Hospital of Vienna (AKH), Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-5358-2137
Adrian CoțeClinical Surgery Department 1, Emergency Clinical County Hospital Oradea, 65 Gheorghe Doja Street, Bihor, 410169 Oradea, Romania.
Csaba CsutakRadiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.
Roxana-Adelina LupeanHistology, Morphological Sciences Department, "Iuliu Hațieganu" University of Medicine and Pharmacy, 400349 Cluj-Napoca, Romania.
Andrei LeboviciRadiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.
Carmen Mihaela MihuRadiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.
Lavinia Manuela LenghelRadiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.
Marius Emil PușcasOncological Surgery and Gynaecologic Oncology, Surgery Department, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.
Andrei RomanRadiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.ORCID 0000-0001-5340-5325
Diana FeierRadiology and Imaging Department, County Emergency Hospital, Clinicilor Street, Number 3-5, 400006 Cluj-Napoca, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conventional magnetic resonance imaging (MRI) evaluation and staging of cervical cancer encounters several pitfalls, partially due to subjective evaluations of medical images. Fifty-six patients with histologically proven cervical malignancies (squamous cell carcinomas,

Indexed as

cervical cancercomputer-aided diagnosisgynecological malignancymagnetic resonance imagingMRIradiomicstexture analysis

Identifiers

PMID36766547
PMCPMC9914884

What OpenQuestion holds

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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.