|
1000
|
Abstract/Summary
|
-
Background!#!Gland preserving techniques in the treatment of sialolithiasis have continuously replaced radical surgery. The aim of this study was to evaluate a multimodal treatment algorithm in the therapy of sialolithiasis and assess improvement of HRQoL perceived by patients.!##!Methods!#!Patients with sialolithiasis were treated by a multimodal treatment algorithm based on multiplicity of stones, stone size, affected gland, and stone position. The therapeutic spectrum ranged from conservative measures, extracorporeal shockwave lithotripsy, interventional sialendoscopy, combined endoscopic-surgical procedures to surgical gland removal as ultima ratio. Outcomes were evaluated by surgeons by means of the electronic patient record and by patients themselves using a standardized questionnaire.!##!Results!#!87 patients treated for sialolithiasis were comprised in this study. The submandibular gland (SMG) was affected in 58.6% and the parotid gland (PG) in 41.4% of cases. Mean patient age was 41.67 years for SMG and 48.91 years for PG. In over 80% of cases sialolithiasis was associated with classic meal-related pain and swelling. Type and intensity of symptomatic sialolithiasis were not dependent on patient age or gender, nor could a relation between the affected gland and the occurrence of symptoms be demonstrated. Overall, 86.2% of cases were reported as cured using the multimodal step-by-step treatment algorithm. Resection of the affected gland could be dispensed in 98.9% of cases. According to patients pain could be reduced in 94.3% of cases.!##!Conclusions!#!The analyzed treatment algorithm of increasing invasiveness is a favorable and effective tool to successfully treat sialolithiasis in > 86% of cases. For the first time, the present study shows that patient-perceived improvement of HRQoL due to ease of symptoms has an even higher success rate of > 94%.
|
|
1000
|
Hinweis
|
-
DeepGreen-ID: 492dfebf412b4bdf877b2ebaabbf0ba1 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
|
