An Algorithm Recommendation to Detect Specific Pathology of the Lacrimal Sac

dc.authoridTuncer Firat, Ilknur/0000-0003-1491-8659
dc.authoridFirat, Murat/0000-0001-6040-9332
dc.contributor.authorDemirel, Soner
dc.contributor.authorFirat, Murat
dc.contributor.authorFirat, Ilknur Tuncer
dc.contributor.authorDikci, Seyhan
dc.date.accessioned2024-08-04T20:52:03Z
dc.date.available2024-08-04T20:52:03Z
dc.date.issued2022
dc.departmentİnönü Üniversitesien_US
dc.description.abstractWe aimed to recommend an efficient algorithm to detect the presence of specific pathologies of the lacrimal sac (LS). The charts of 296 patients who had undergone LS biopsy were reviewed retrospectively. The age, gender, history, examination and radiological findings, sac appearance, and pathology results of the patients were recorded. The power of our data to predict the presence of potential specific pathology was identified by regression analysis. After the causality evaluation of the statistical results, an algorithm was created to differentiate specific LS pathologies from chronic dacryocystitis. Our algorithm was mainly formed by deciding on radiological examination and biopsy according to the risk scoring created by the examination findings. A specific LS pathology was observed in 11(3.7%) patients. When we applied the recommended algorithm to cases with a suspicion of specific pathology and/or found to have a specific pathology, 36.4% of the patients would not require radiological examination and 29.6% of them would not require a biopsy. On the other hand, 80% of the frozen biopsies had been conducted on cases without a specific pathology. Managing the cases according to our algorithm would mean that frozen biopsy would be recommended in only 1 (12.5%) case without a specific pathology. Besides, the detection of cases with a specific pathology would not be prevented and the necessary diagnostic procedures would continue to be performed. Specific LS pathologies can be detected adequately, whereas decreasing unnecessary examinations and procedures in cases without a specific pathology by using our algorithm.en_US
dc.identifier.doi10.1097/SCS.0000000000008077
dc.identifier.endpageE272en_US
dc.identifier.issn1049-2275
dc.identifier.issn1536-3732
dc.identifier.issue3en_US
dc.identifier.pmid34369466en_US
dc.identifier.scopus2-s2.0-85131309245en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpageE269en_US
dc.identifier.urihttps://doi.org/10.1097/SCS.0000000000008077
dc.identifier.urihttps://hdl.handle.net/11616/100696
dc.identifier.volume33en_US
dc.identifier.wosWOS:000797136800023en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherLippincott Williams & Wilkinsen_US
dc.relation.ispartofJournal of Craniofacial Surgeryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDacryocystitisen_US
dc.subjectdacryocystorhinostomyen_US
dc.subjectlacrimal sac biopsyen_US
dc.subjectlacrimal sac tumoren_US
dc.subjectsecondary nasolacrimal duct obstructionen_US
dc.titleAn Algorithm Recommendation to Detect Specific Pathology of the Lacrimal Sacen_US
dc.typeArticleen_US

Dosyalar