The computer-assisted clinical and diagnostic data analysis system for planning an optimal surgical intervention in newborns with lung malformations


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅或者付费存取

详细

To develop a computer-assisted clinical and diagnostic data analysis system and to evaluate its effectiveness for the preoperative preparation and choice of an optimal surgical treatment for children with congenital lung malformations. Subjects and methods. The investigators carried out a retrospective and prospective analysis of the clinical and instrumental data of a total of 144 neonatal patients with bronchopulmonary sequestration and/or cystic adenomatoid lung malformation for the period of January 1, 2012 to June 31, 2018. Segmentation of DICOM chest CT images was performed to create a three-dimensional model with an evaluation of the impact on the duration of surgery for lung defects in newborns. Results. The standardization and computer-assisted analysis of clinical and diagnostic information made it possible to optimize the stage of training of a surgeon for endoscopic surgery and to considerably reduce the duration of surgery. Conclusion. The structured visual diagnostic, clinical, and phenotypic signs included in the libraries of the computer expert system (neural network) are a reason to subsequently create a data model with a wide range of practical applications.

全文:

受限制的访问

作者简介

Elena Dorofeeva

Academician V.l. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia

Email: dorofey_i@mail.ru
PhD, Clinical Chief of Neonatal Surgery Department

Yulia Podyrovskaya

Academician V.l. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia

Email: y_podurovskaya@yandex.ru
PhD, Head of Neonatal Surgery Department

Uliana Tumanova

Academician V.l. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia

Email: u.n.tumanova@gmail.com
PhD, researcher at the Laboratory of Morphology

Gleb Nemkovskyi

Westtrade Ltd Objective

Email: gbn.fun@gmail.com
head of IT solutions implementation Department «Vesttreid Ltd».

Ivan Balashov

Academician V.l. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia

Email: i_balashov@oparina4.ru
junior researcher at the Laboratory of Bioinformatics

Alexey Prokhin

Westtrade Ltd Objective

Email: aleksprohin@gmail.com
analyst

Vladimir Bychenko

Academician V.l. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia

Email: v_bychenko@oparina4.ru
head of the Department of Radiation Diagnostics.

Dmitry Degtyarev

Academician V.l. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology, Ministry of Health of Russia

Email: glav_neolog@yahoo.com
MD, professor, Deputy of Director on Researches

参考

  1. Исаков Ю.Ф., Володин H.H., Гераськин А.В., ред. Неонатальная хирургия. М.: Династия; 2011. 680с.
  2. Разумовский А.Ю., Мокрушина О.Г. Эндохирургические операции у новорожденных. М.: МИА; 2015. 344с.
  3. Polites S.F., Habermann E.B., Zarroug A.E., Thomsen K.M., Patter D.D. Thoracoscopic Vs open resection of congenital cystic lung disease-utilization and outcomes in 1120 children in the United States. J. Pediatr. Surg. 2016; 51(7): 1101-5.
  4. Tack P., Victor J., Gemmel P., Annemans L. 3D-printing techniques in a medical setting: a systematic literature review. Biomed. Eng. Online. 2016; 15: 115.
  5. Lebedev G., Gureeva A., Tikhonova Y. Software system for dynamic athlete health monitoring. Procedia Computer Science. 2017; 112: 1664-9.
  6. Lebedev G., Tikhonova Y. Information system for pharmacotherapy method selection. Procedia Computer Science. 2017; 112: 1658-63.

补充文件

附件文件
动作
1. JATS XML
下载

版权所有 © Bionika Media, 2018