Evidence map›Paper›PMID 29987980›Full record

ArticleThe British journal of radiology2018

MR imaging and CT features of oncocytic papilloma of the sinonasal tract with comparison to inverted papilloma.

Bentao Yang, Jing Li, Jiyong Dong

Open access · greenAbstract read
In one paragraph

Article in The British journal of radiology, 2018. 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
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. [Clinical and imaging features of sinonasal oncocytic papilloma].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2021
    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

3 authors at 2 institutions in 1 country.

Bentao Yang1 Department of Radiology, Beijing Tongren Hospital, Capital Medical University , Beijing , China.
Jing Li1 Department of Radiology, Beijing Tongren Hospital, Capital Medical University , Beijing , China.
Jiyong Dong1 Department of Radiology, Beijing Tongren Hospital, Capital Medical University , Beijing , China.
Beijing Tongren Hospital · CNCapital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objective: To evaluate and compare the imaging feature of sinonasal oncocytic papilloma (OP) with inverted papilloma (IP).

methods: The CT and MR imaging manifestations of 17 pathology proven sinonasal OPs were reviewed and compared with 17 IPs randomly selected as a control group over the same period.

results: Seventeen sinonasal OPs had unilateral occurrence and 16 of them (94.1%) had a lobulated configuration.The distribution of original sites differed significantly between OPs and IPs (p < 0.05).OPs (47.1%) particularly involved the maxillary sinus,while IPs (64.7%) usually arose from the lateral nasal wall.OPs exhibited isointense in 5 cases and grape- or patchy-like hyperintense in 12 on T

conclusion: Three imaging features including high signal on T ADVANCES IN KNOWLEDGE:: The typical imaging characteristics should prompt an accurate diagnosis of sinonasal OPs in routine clinical practice. Combination of CT and MR imaging characteristics can be more helpful in discriminating OPs from IPs.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansImage Interpretation, Computer-AssistedMaleMaxillary Sinus NeoplasmsMiddle AgedNose NeoplasmsPapillomaPapilloma, InvertedRetrospective Studies

Identifiers

PMID29987980
PMCPMC6350494
OpenAlexW2813927890

What OpenQuestion holds

Textmetadata
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.