InsKid – Mobile application for the reconstruction of the internal view of the collecting system


DOI: https://dx.doi.org/10.18565/urology.2021.1.56-59

B.G. Guliev, B.K. Komyakov, A.E. Talyshinskii, M.U. Agagyulov

1) Department of urology (Head – prof. B.K. Komyakov) of North-Western State Medical University named after I.I. Mechnikov, Saint Petersburg, Russia; 2) Center of Urology with robot-assisted surgery of City Mariinsky hospital (Chief – prof. O.V. Emeliyanov), Saint Petersburg, Russia
Introduction: patients with urinary stone disease during consultation often cannot realize their condition and features of upcoming procedure. Creation of 3D printed models is also not always available or too expensive.
Aim: to create a special program that allows for virtual intrarenal visualization of the collecting system and kidney stone on devices based on the Android operating system and evaluate its efficiency in counseling patients before the upcoming percutaneous nephrolithotomy (PCNL).
Materials and methods: a total of 15 patients who were scheduled to PCNL, were included in the study. All of them had two consultations. During the second consultation, the newly developed program was used. Patient data from DICOM (computed tomography) format were converted to stereolithography (STL) format in order to display it in the application. Each patient assessed the quality of the consultation using a questionnaire.
Results: patients’ understanding of the kidney anatomy improved by 55% (from 34 to 75 points, p=0.0001), and stone localization by 51% (from 37 to 75 points, p=0.0001). The stages of PCNL became clearer by 57% (from 32 points to 75, p=0.0001), and understanding of possible intra- and postoperative complications was improved by 48% (from 38 to 73 points, p=0.0002). Overall patient satisfaction with counseling improved by 53% (from 35 to 74 points, p=0.0001), and the number of patients who desired for better repeated counseling decreased by 89% (from 9 to 1, p=0.006).
Conclusion: The InsKid app is an affordable and easy-to-use program, which doesn’t require significant costs and allows patients to understand their disease and upcoming procedure.

About the Autors


Corresponding author: B.G. Guliev – Ph.D., MD, professor at the department of urology of FGBOU VO North-Western State Medical University named after I.I. Mechnikov, Head of Center of Urology with robot-assisted surgery of City Mariinsky hospital, Saint Petersburg, Russia; e-mail: gulievbg@mail.ru


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