Evidence map›Paper›PMID 37869301›Full record

ArticleQuantitative imaging in medicine and surgery2023

A retrospective study of magnetic resonance sialography imaging applied in the prognostic evaluation of chronic obstructive parotitis.

Yanxiang Li, Yiping Pu, Huan Shi, Qi Fan, Chuangqi Yu

Open access · diamondAbstract read
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Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Yanxiang Li *Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yiping Pu *Department of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huan ShiDepartment of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qi FanDepartment of Radiology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chuangqi YuDepartment of Oral Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Ninth People's Hospital · CNNational Clinical Research Center for Digestive Diseases · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Magnetic resonance sialography (MRS) can be used to clearly examine the main duct of the parotid and is widely applied in the diagnosis of chronic obstructive parotitis (COP). However, there are few studies on the classification, treatment options and prognosis of COP using MRS. Methods: Clinical and imaging data were retrospectively collected from 41 patients with COP between January 2010 and December 2020 at the Ninth People's Hospital affiliated with Shanghai Jiao Tong University School of Medicine. All patients underwent MRS and were treated with intraductal irrigation. The patients were divided into 2 groups according to the presence or absence of symptomatic relapse during the 6-month follow-up period. The imaging features of parotid MRS included three parts: gland volume, stenosis classification and dilatation classification. The location/length of dilatation, the widest diameter of the dilated duct, and the condition of the branch ducts were also recorded and compared between the groups. Results: A mean of 14.8±12.3 irrigations were performed. There were 15 patients with recurrence and 26 without recurrence. There was no significant difference in the parotid volume (P=0.460), stenosis grade (P=0.738) or maximum diameter of dilatation of the branch duct (P=0.723) between the recurrence and non-recurrence groups. Statistically significant differences were found in dilatation classification (P=0.009), length of dilatation (P=0.043), condition of the branch ducts (P=0.017) and dexamethasone use (P=0.031). Conclusions: MRS is an available diagnostic and grading modality for COP. The imaging features and classification of the parotid main duct in MRS could be helpful for treatment selection. Patients who accept irrigation could be less likely to experience recurrence with a low dilatation grade and no branch duct dilatation.

Indexed as

chronic obstructive parotiditis (COP)dilatationintraductal irrigationMagnetic resonance sialography (MRS)stenosis

Identifiers

PMID37869301
PMCPMC10585527
OpenAlexW4387023515

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.