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Title: One-Year Outcome Predictors of Strabismus Surgery from Anterior Segment Optical Coherence Tomography with Multiple B-Scan Averaging
Authors: Miyata, Manabu  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0002-7574-1749 (unconfirmed)
Suda, Kenji  kyouindb  KAKEN_id  orcid https://orcid.org/0000-0003-1636-0898 (unconfirmed)
Uji, Akihito
Hata, Masayuki
Oishi, Akio
Nakano, Eri
Yamamoto, Akinari
Nakao, Shinya
Ohtsuki, Hiroshi
Tsujikawa, Akitaka  kyouindb  KAKEN_id
Author's alias: 宮田, 学
須田, 謙史
宇治, 彰人
畑, 匡侑
大石, 明生
中野, 絵梨
山本, 昭成
中尾, 真也
大月, 洋
辻川, 明孝
Keywords: Multidisciplinary
Issue Date: 21-Feb-2019
Publisher: Springer Nature
Journal title: Scientific Reports
Volume: 9
Thesis number: 2523
Abstract: Strabismologists are eager to identify preoperative or intraoperative strabismus surgery outcome predictors because of the variable effects in each patient. Conjunctival closure position recession after rectus muscle recession is effective for correcting large angle strabismus. The elasticity of the conjunctiva and Tenon’s capsule is important for strabismus surgery management. In this longitudinal study, we evaluated the prognosis of conjunctiva and Tenon’s capsule thickness (CTT) near the limbus 1 year after strabismus surgery with a limbal conjunctival incision using swept-source anterior segment optical coherence tomography with multiple B-scan averaging. Also, we identified preoperative and/or intraoperative parameters associated with corrective effects 1 year after surgery in 15 consecutive treatment-naïve patients with exotropia or esotropia who underwent recession and resection. The 1-year CTT was greater than the preoperative CTT on the resection side (269 ± 111 vs 183 ± 53 μm, P < 0.001) but was smaller on the recession side (137 ± 54 vs 183 ± 71 μm, P = 0.02). The corrective effect of surgery (1.6 ± 0.3°/mm) was most strongly correlated with preoperative CTT on the recession side (P = 0.005, β = −0.73). Hence, CTT on the recession side may provide adjunctive information for strabismus treatment.
Rights: © The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
URI: http://hdl.handle.net/2433/236572
DOI(Published Version): 10.1038/s41598-019-39361-5
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