Evidence map›Paper›PMID 32180847›Full record

ArticlePolish journal of radiology2020

Diagnostic ability of contrast-enhanced computed tomography for metastatic cervical nodes in head and neck squamous cell carcinomas: significance of additional coronal reconstruction images.

Tomohiro Ando, Hiroki Kato, Masaya Kawaguchi, Yukichi Tanahashi, Mitsuhiro Aoki, Bunya Kuze, Masayuki Matsuo

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 42% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
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 1 institution in 1 country.

Tomohiro AndoGifu University School of Medicine, Japan.
Hiroki KatoGifu University School of Medicine, Japan.
Masaya KawaguchiGifu University School of Medicine, Japan.
Yukichi TanahashiGifu University School of Medicine, Japan.
Mitsuhiro AokiGifu University School of Medicine, Japan.
Bunya KuzeGifu University School of Medicine, Japan.
Masayuki MatsuoGifu University School of Medicine, Japan.
Gifu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the significance of additional coronal reconstruction images in the diagnostic ability of contrast-enhanced computed tomography (CECT) for metastatic cervical nodes in patients with head and neck squamous cell carcinomas (HNSCC). MATERIAL AND

methodsWe retrospectively assessed 97 metastatic and 141 reactive histologically proven cervical nodes of 38 patients with HNSCC, who underwent CECT before neck dissection. Observer #1, an expert radiologist in head and neck imaging, and observer #2, a general radiologist, reviewed all CECT images. The observers first assessed the presence of nodal metastasis using axial CECT alone (A-CECT). Three days later, they reassessed its presence using combined axial and coronal CECT (A&C-CECT).

resultsThe sensitivity of A-CECT vs. A&C-CECT was 73.2% vs. 75.3% for observer #1 (

conclusionsThe specificity, accuracy, and AUC increased with the use of coronal images during the assessment by the expert radiologist. The appropriate use of coronal images allowed proper configuration recognition and improved diagnostic ability.

Indexed as

coronal reconstruction imagesCThead and neck squamous cell carcinomaslymph node metastasis

Identifiers

PMID32180847
PMCPMC7064011
OpenAlexW3008522551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.