Isolated Sphenoid Sinusitis: Anatomical Features for Choosing a Method of Treatment, a Case-Control Study

Karpishchenko S. Vereshchagina O. Stancheva O. Nagornykh T. Krasichkov A. Serdiukova I. Sinitca A. Kaplun D.
May 2022 Multidisciplinary Digital Publishing Institute (MDPI)

Diagnostics
2022 #12 Issue 5

Isolated sphenoid sinusitis (ISS) is a group of pathologies characterized by inflammation in one or both sphenoid sinuses. The gold standard for analyzing and diagnosing ISS is computer tomography. Many researchers have discussed the treatment of patients with ISS variants such as fully opacified sinus, mostly with surgery. A retrospective analysis of clinical data of 59 patients (21 male (35%), 38 female (65%)) with ISS, who were treated in the Otorhinolaryngological Department of Pavlov First Saint Petersburg State Medical University between January 2017 and January 2020, was conducted. All patients were in the first stage of the same medical therapy. In cases where there was no recovery, these patients were referred to surgery. For the control group, we analyzed patients without any disorders according to CT-scan examination. After analyzing the obtained clinical and radiological data, we found indicators that were common in patients who did not recover after medical therapy. According to the reverse regression method statistical model, in male patients with a diffuse headache and nasal discharge it was shown that medical therapy was highly effective (more than 78%). The presence of nasal septum deviation and adenoids in male and female patients leads to the highest risk of surgical treatment (83% probability of the logistic model). The detailed analysis of CT-scans and the complaints of patients with ISS can be the key to determining the preferred therapy choice. Not all cases need to have an endoscopic opening of the sphenoid sinus, according to our research.

computed tomography , endoscopy , nasal cavity , paranasal sinuses , sphenoid sinus

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ENT Department with Clinic, Pavlov First Saint Petersburg State Medical University, St. Petersburg, 195176, Russian Federation
Radio Engineering Systems Department, Saint Petersburg Electrotechnical University “LETI”, St. Petersburg, 197022, Russian Federation
Research Centre for Digital Telecommunication Technologies, Saint Petersburg Electrotechnical University ”LETI”, St. Petersburg, 197022, Russian Federation
Faculty of Information Technologies, Kazakh-British Technical University, Almaty, 050000, Kazakhstan
Department of Automation and Control Processes, Saint Petersburg Electrotechnical University “LETI”, St. Petersburg, 197022, Russian Federation

ENT Department with Clinic
Radio Engineering Systems Department
Research Centre for Digital Telecommunication Technologies
Faculty of Information Technologies
Department of Automation and Control Processes

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