The use of 3D modeling to determine the parameters of surgical intervention for pulmonary tuberculosis
https://doi.org/10.21292/2075-1230-2020-98-6-47-51
Abstract
The clinical experience demonstrates the importance of 3D modeling when planning surgical intervention in patients with pulmonary tuberculosis. The 3D model was built up based computed tomography data using Avtoplan software with plug-ins for segmentation of the lung, pathological foci, vascular structures, and bronchial tree. The data obtained during 3D modeling allowed us to plan surgery and the data were fully confirmed during the operation. The 3D model with color mapping reveals syntopy, which is extremely difficult to determine using standard computed tomography and allows the wider use of minimally invasive endoscopic surgical interventions.
About the Authors
E. A. BorodulinаRussian Federation
Elena A. Borodulina, Doctor of Medical Sciences, Professor, Head of Phthisiology and Pulmonology Department.
89, Chapaevskaya St., Samara, 443099.
Phone: + 7 (846) 332-57-35.
A. V. Kolsаnov
Russian Federation
Aleksandr V. Kolsanov, Doctor of Medical Sciences, Professor, Rector, Professor of the Russian Academy of Sciences, Head of the Department of Operative Surgery and Clinical Anatomy with Training Course of Innovative Technologies.
89, Chapaevskaya St., Samara, 443099.
P. V. Rogozhkin
Russian Federation
Petr V. Rogozhkin, Thoracic Surgeon.
48, Pionerskaya St., Samara, 443099
Phone: + 7 (846) 335-66-58.
A. A. Mаnukyan
Russian Federation
Arman A. Manukyan, X-Ray Doctor.
50, Solnechnaya St., Samara, 443029.
References
1. Аlyaev Yu.G., Sirota E.S., Bezrukov E.А. The virtual planning of organ-preserving laparoscopic operations in the treatment of localized cancer of the kidney parenchyma. Uralskiy Meditsinskiy Journal, 2018, no. 9 (164), pp. 69-78. (In Russ.)
2. Kolsanov А.V. Innovation activity of Samara State Medical University: current status and development prospects. V sbornike: Neyrokompyuterny interfeys: nauka i praktika. Samara 2017 sbornik materialov III Mezhdunarodnoy konferentsii. [In Abst. Book: Neurocomputer interface: science and practice. Samara 2017 collection of materials of the III International Conference]. 2017, pp. 14-16. (In Russ.)
3. Kolsanov А.V., Katorkin S.E., Zelter P.M., Bystrov S.А., Kolesnik I.V., Chaplygin S.S., Аndreev I.S. Virtual planning in abdominal surgery: experience of its use in surgery of liver, spleen and pancreas. Klinicheskaya i Eksperimentalnaya Khirurgiya, 2017, vol. 5, no. 1, pp. 31-36. (In Russ.)
4. Kotova T.G. Preoperative preparation in patients with bilateral pulmonary tuberculosis. Sovremennye Problemy Nauki i Obrazovaniya, 2019, no. 1, pp. 11. (In Russ.)
5. Nazarov R.M., Katorkin S.E., Bystrov S.А. The use of preoperative 3D modeling of splenectomy in patients with idiopathic thrombocytopenic purpura. Vrach Aspirant, 2017, vol. 81, no. 2, pp. 215-221. (In Russ.)
6. Prikhodko S.А., Kotelnikov G.P., Nikolaenko А.N., Chaplygin S.S., Ivanov V.V., Popov N.V., Zelter P.M., Kolsanov А.V. The use of 3D modeling and computer navigation in the surgical treatment of patients with benign tumors and tumor-like diseases of tubular bones. Sovremennye Tekhnologii v Meditsine, 2017, vol. 9, no. 3, pp. 64-70. (In Russ.)
7. Rogozhkin P.V., Borodulina E.А. The postponed treatment outcomes of pulmonary tuberculosis patients after radical pulmonary resection. Tuberculosis and Lung Diseases, 2018, vol. 96, no. 3, pp. 24-28. (In Russ.) doi: 10.21292/2075-1230-2018-96-3-24-28.
8. Khalimon A.I. Possibilities of three-dimensional computer simulation of pulmonary vessels based on X-ray computed tomographic angiopulmonography data, in the planning of video-assisted lung segmentectomy. Rossiyskiy Elektronny Journal Luchevoy Diagnostiki, 2017, vol. 7, no. 3, pp. 83-89. (In Russ.)
9. Schekoturov I.O., Bakhtiozin R.F., Shiryaev А.А., Kornev D.O., Panina K.C. Possibilities of three-dimensional computer simulation based on computed tomography data in planning resections of the liver due to its focal diseases. Rossiyskiy Elektronny Journal Luchevoy Diagnostiki, 2018, vol. 8, no. 2, pp. 72-78. (In Russ.)
10. Oizumi H., Kanauchi N., Kato H., Endoh M., Suzuki J., Fukaya K. et al. Anatomic thoracoscopic pulmonary segmentectomy under 3-dimensional multidetector computed tomography simulation: a report of 52 consecutive cases. J. Thor. Cardiovasc. Surg., 2011, vol. 141, no. 3, pp. 678-682.
11. Volonte F., Buch N. Augmented reality to the rescue of the minimally invasive surgeon. The usefulness of the interposition of stereoscopic images on the Da VinciTM robotic concole. Intern. J. Med. Robotics, 2013, vol. 9, no. 3, pp. 34-38.
Review
For citations:
Borodulinа E.A., Kolsаnov A.V., Rogozhkin P.V., Mаnukyan A.A. The use of 3D modeling to determine the parameters of surgical intervention for pulmonary tuberculosis. Tuberculosis and Lung Diseases. 2020;98(6):47-51. (In Russ.) https://doi.org/10.21292/2075-1230-2020-98-6-47-51