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УДК: 616.432 DOI:10.33920/med-01-2011-07

Treatment and diagnostic algorithm for chiasmal-sellar cysts

Puzakov Nikita Sergeevich neurosurgeon, Pavlov First St. Petersburg State Medical University, Russian Ministry of Health; 8, L’va Tolstogo Str., St. Petersburg, 197022, Russia. 89522877338, E-mail: n.puzakov@gmail.com, mailto:n.puzakov@gmail.comORCID 0000-0003-2873-8763
Cherebillo Vladislav Iur’evich PhD in Medicine, Professor, Head of the Department of Neurosurgery, Pavlov First St. Petersburg State Medical University, Russian Ministry of Health; Head of the Department of Neurosurgery, Almazov National Medical Research Centre; Professor of the Department of Neurosurgery, S.M. Kirov Military Medical Academy, 6–8, L’va Tolstogo Str., St. Petersburg 197022, Russia E-mail: cherebillo@mail.ru, ORCID 0000-0001-6803-9954
Tregubenko Il’ia Aleksandrovich PhD Candidate in Psychology, Associate Professor, Lecturer at the Department of General and Clinical Psychology, Pavlov First St. Petersburg State Medical University, Russian Ministry of Health; Associate Professor at the Department of Professional Activity Psychology, Herzen State Pedagogical University of Russia, 6–8, L’va Tolstogo Str., St. Petersburg, 197022. E-mail: psy560@yandex.ru, ORCID 0000-0002-8836-5084

Abstract: With chiasmal-sellar cysts being a rare disorder, neurologists and neurosurgeons have little experience with them. The challenging differential diagnosis of chiasmal-sellar cysts having identical clinical signs with other chiasmal-sellar lesions and frequent misinterpretation of neuroimaging data lead to additional difficulties. Nevertheless, an accurate preoperative differential diagnosis of chiasmal-sellar cysts is an important stage of preparation for surgery, which allows determining the surgical approach in advance, because each group of chiasmal-sellar cysts has its own features of surgical treatment, which significantly reduces the complications and minimizes the recurrences. The study was aimed to improve the diagnosis and treatment of patients with chiasmal-sellar cysts by developing the most appropriate treatment and diagnostic algorithm. To this end, the medical records of 1,740 patients were analyzed from 2009 to 2018. 94 medical records were selected from this body of records, which concerned the surgeries with trans-sphenoidal endoscopic access for cystic pituitary adenomas and chiasmal-sellar cysts. Patients were divided into 5 groups according to the nosology. The clinical signs, laboratory analysis and MRI data, specific features of surgical treatment and postoperative outcomes in each group were analyzed. All the data obtained were subjected to statistical analysis, which was used to determine the distinctive diagnostic and surgical features that are typical of each group. All the data obtained are combined into treatment and diagnostic algorithm that allows accurate differential diagnosis based on which a professional using the developed algorithm can decide on the further treatment approach and, if necessary, determine the surgical treatment features in advance.

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Surgical treatment of chiasmal-sellar region formations is a difficult task of modern neurosurgery. A neurosurgeon has to choose between the invasive nature of a surgery and possible post-surgery complications. This situation most often occurs in the chiasmal-sellar cysts, such as Rathke’s cleft cysts, colloidal cysts of the chiasmal-sellar region, epidermoid cysts of the chiasmal-sellar region, dermoid cysts of the chiasmal-sellar region and arachnoid cysts of the chiasmal-sellar region. Even though surgical procedures designed to reduce the relapses and to mitigate the risk of post-surgical complications were described for these disorders, many complications are mentioned by some authors when they use the same treatment method, despite the positive results achieved by others. Thus, the choice of the surgical approach to patients with chiasmal-sellar cysts remains relevant.

The diagnosis of chiasmal-sellar cysts does not lose its relevance either. This is largely due to the lack of accurate differential diagnosis of chiasmal-sellar formations based on the disease clinical signs. In addition, sometimes any chiasmal-sellar formation is described by a radiologist as pituitary adenoma [1], which is most likely due to the fact that pituitary adenoma is the most common chiasmal-sellar pathology. However, as described above, each type of chiasmal-sellar cysts has its own peculiarities of surgical treatment, which enables to minimize relapses and to reduce complications [2–5]. Thus, an incorrect diagnosis may lead to several intraoperative problems and, as a result, deterioration of medical care.

With chiasmal-sellar cysts being a rare disorder, neurologists and neurosurgeons have little experience with them. The development of a treatment and diagnostic algorithm for chiasmal-sellar cysts would allow an accurate differential diagnosis, on the basis of which a specialist, using the developed algorithm, would be able to determine further treatment approach and, if necessary, the surgery features in advance.

Для Цитирования:
Puzakov Nikita Sergeevich, Cherebillo Vladislav Iur’evich, Tregubenko Il’ia Aleksandrovich, Treatment and diagnostic algorithm for chiasmal-sellar cysts. Вестник неврологии, психиатрии и нейрохирургии. 2020;11.
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