https://scholars.lib.ntu.edu.tw/handle/123456789/636102
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Huang, Ching Wen | en_US |
dc.contributor.author | Yang, Hung Yu | en_US |
dc.contributor.author | TA-CHING CHEN | en_US |
dc.contributor.author | CHENG-WEI CHEN | en_US |
dc.date.accessioned | 2023-10-17T06:06:54Z | - |
dc.date.available | 2023-10-17T06:06:54Z | - |
dc.date.issued | 2023-01-01 | - |
dc.identifier.issn | 14785951 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/636102 | - |
dc.description.abstract | Background: Subretinal injection (SRI) has become an important surgical method for treating vitreoretinal diseases. Nevertheless, the optimisation of bleb formation in SRI, for the attainment of desired therapeutic outcomes, still requires further investigation. Methods: This study analysed the influence of surgical parameters on SRI using a robotic setup. The surgical procedure was automated using visual guidance. A predictive model for bleb formation was established through regression analysis. To validate the model, we compared the clinical data's target area with the simulated SRI's actual area using parameters determined by the predictive model. Results: The insertion angle dominated the eccentricity and area of the bleb. The injection speed dominated the axial angle. Automated SRI increased success rate and produced predictable outcomes. Conclusions: We could provide accurate SRI on phantom models by adjusting surgical parameters based on the patient's clinical information. Automatic robot-assisted SRI is a promising surgical technique with highly predictable results. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | International Journal of Medical Robotics and Computer Assisted Surgery | en_US |
dc.subject | bleb formation prediction | cell therapy | gene therapy | robot-assisted surgery | subretinal injection | surgical automation | en_US |
dc.title | Analysis on key parameters in subretinal injection facilitating a predictable and automated robot-assisted treatment in gene therapy | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1002/rcs.2560 | - |
dc.identifier.pmid | 37583359 | - |
dc.identifier.scopus | 2-s2.0-85167985184 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85167985184 | - |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Ophthalmology | - |
crisitem.author.dept | Ophthalmology-NTUH | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Center for Artificial Intelligence and Advanced Robotics | - |
crisitem.author.orcid | 0000-0003-4358-6585 | - |
crisitem.author.orcid | 0000-0003-4807-3340 | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 電機工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。