Evidence map›Paper›PMID 33389599›Full record

ArticleOral radiology2021

Pre-treatment MRI predictor of high-grade malignant parotid gland cancer.

Akira Baba, Hisashi Kessoku, Taisuke Akutsu, Eiji Shimura, Satoshi Matsushima, Ryo Kurokawa, Yoshiaki Ota, Takayuki Suzuki, Yuki Kawasumi, Hideomi Yamauchi and 2 more

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Oral radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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, 4 citations in OpenAlex.

  1. Article
  2. Parotid cancer: analysis of preoperative parameters for adaptation of the therapeutic strategy.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Akira BabaDepartment of Radiology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan. akirababa@jikei.ac.jp.ORCID 0000-0001-6913-5307
Hisashi KessokuDepartment of Otorhinolaryngology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.ORCID 0000-0002-1149-3985
Taisuke AkutsuDepartment of Otorhinolaryngology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.
Eiji ShimuraDepartment of Otorhinolaryngology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.
Satoshi MatsushimaDepartment of Radiology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.ORCID 0000-0002-9940-5205
Ryo KurokawaDepartment of Radiology, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.ORCID 0000-0002-1186-8900
Yoshiaki OtaDepartment of Radiology, University of Michigan, 1500 E Medical Center Dr, UH B2, Ann Arbor, MI, 48109, USA.ORCID 0000-0001-8992-2156
Takayuki SuzukiDepartment of Radiology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.
Yuki KawasumiDepartment of Radiology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.
Hideomi YamauchiDepartment of Radiology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.
Koshi IkedaDepartment of Radiology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.ORCID 0000-0001-8864-6604
Hiroya OjiriDepartment of Radiology, The Jikei University School of Medicine and University Hospital, 3-25-8, Nishi-Shimbashi, Minato-ku, Tokyo, 1058461, Japan.ORCID 0000-0002-5573-6299
Jikei University School of Medicine · JPThe University of Tokyo · JPUniversity of Michigan · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWe aimed to evaluate pre-treatment MRI predictors of high-grade malignant parotid gland cancer by comparing MRI findings and texture parameters between high-grade and intermediate/low-grade parotid gland cancers.

methodsPatients underwent a pre-treatment MRI and had a parotid gland cancer resection with pathological evaluation. Evaluation objectives included attributive factors such as age and gender, several MRI findings of T1- and T2-weighted images, post-contrast fat suppression T1-weighted images, ADC value and 40 texture parameters calculated from T2-weighted axial images. Such objects were compared between high-grade and intermediate/low-grade lesions.

resultsOf the parotid gland cancers surveyed, 39 were included for analysis. Of these, 18 were high-grade lesions, 2 were intermediate-grade lesions, and 19 were low-grade lesions. The high-grade group was significantly older than the low- and intermediate-grade groups (p = 0.01). There were more males in the high-grade group than in the low- and intermediate-grade groups (p = 0.01). There were also significantly more MRI findings of neck lymph node metastases in the high-grade group than in the low- and intermediate-grade groups (p < 0.001). Other MRI findings and texture parameters did not show significant differences between the two groups (p = 0.07-1.00).

conclusionsMorphological assessment on MRI and texture parameters alone is not sufficient to estimate the grade of parotid cancer. MRI findings of neck lymph node metastases, as well as patient characteristics such as age (older patients) and gender (male) can be suggestive of high-grade parotid gland cancer in pre-treatment evaluation.

Indexed as

Parotid NeoplasmsHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMaleParotid GlandMRINeck lymph node metastasisParotid gland cancerTexture parameters

Identifiers

PMID33389599
OpenAlexW3118597518

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.