Evidence map›Paper›PMID 33325727›Full record

ArticleActa radiologica (Stockholm, Sweden : 1987)2022

Detecting lymph node metastasis of esophageal cancer on dual-energy computed tomography.

Xuyang Sun, Tetsu Niwa, Soji Ozawa, Jun Endo, Jun Hashimoto

Open access · greenAbstract read
In one paragraph

Article in Acta radiologica (Stockholm, Sweden : 1987), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

5 authors at 1 institution in 1 country.

Xuyang SunDepartment of Diagnostic Radiology, Tokai University School of Medicine, Isehara, Japan.
Tetsu NiwaDepartment of Diagnostic Radiology, Tokai University School of Medicine, Isehara, Japan.ORCID https://orcid.org/0000-0003-2861-0057
Soji OzawaDepartment of Gastroenterological Surgery, Tokai University School of Medicine, Isehara, Japan.
Jun EndoDepartment of Diagnostic Radiology, Tokai University School of Medicine, Isehara, Japan.
Jun HashimotoDepartment of Diagnostic Radiology, Tokai University School of Medicine, Isehara, Japan.
Tokai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsing conventional computed tomography (CT), the accurate diagnosis of lymph node (LN) metastasis of esophageal cancer is difficult. PURPOSE: To examine dual-energy CT parameters to predict LN metastasis preoperatively in patients with esophageal cancer. MATERIAL AND

methodsTwenty-six consecutive patients who underwent dual-energy CT before an esophageal cancer surgery (19 patients with LN metastases) were analyzed. The included LNs had a short-axis diameter of ≥4 mm and were confirmed to be resected on postoperative CT. Their short-axis diameter, CT value, iodine concentration (IC), and fat fraction were measured on early- and late-phase contrast-enhanced dual-energy CT images and compared between pathologically confirmed metastatic and non-metastatic LNs.

resultsIn total, 51 LNs (34 metastatic and 17 non-metastatic) were included. In the early phase, IC and fat fraction were significantly lower in the metastatic than in the non-metastatic LNs (IC = 1.6 mg/mL vs. 2.2 mg/mL; fat fraction = 20.3% vs. 32.5%; both

conclusionUsing dual-energy CT images, IC and fat fraction are useful for diagnosing LN metastasis in patients with esophageal cancer.

Indexed as

Radiography, Dual-Energy Scanned ProjectionTomography, X-Ray ComputedAdultAgedAged, 80 and overContrast MediaEsophageal NeoplasmsFemaleHumansLymphatic MetastasisMaleMiddle AgedNeoplasm StagingContrast Mediadual-energy computed tomographyEsophageal cancerfat fractioniodine concentrationlymph node metastasis

Identifiers

PMID33325727
PMCPMC9530532
OpenAlexW3110997846

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.