Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty
Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane endothelial keratoplasty (DMEK). Automated delineation of the corneal interfaces in anterior segment optical coherence tomography (AS-OCT) can be challenging...
Saved in:
| Published in: | Scientific reports Vol. 11; no. 1; p. 13976 |
|---|---|
| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Nature Publishing Group UK
07-07-2021
Nature Publishing Group Nature Portfolio |
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane endothelial keratoplasty (DMEK). Automated delineation of the corneal interfaces in anterior segment optical coherence tomography (AS-OCT) can be challenging for corneas that are irregularly shaped due to pathology, or as a consequence of surgery, leading to incorrect thickness measurements. In this research, deep learning is used to automatically delineate the corneal interfaces and measure corneal thickness with high accuracy in post-DMEK AS-OCT B-scans. Three different deep learning strategies were developed based on 960 B-scans from 50 patients. On an independent test set of 320 B-scans, corneal thickness could be measured with an error of 13.98 to 15.50 μm for the central 9 mm range, which is less than 3% of the average corneal thickness. The accurate thickness measurements were used to construct detailed pachymetry maps. Moreover, follow-up scans could be registered based on anatomical landmarks to obtain differential pachymetry maps. These maps may enable a more comprehensive understanding of the restoration of the endothelial function after DMEK, where thickness often varies throughout different regions of the cornea, and subsequently contribute to a standardized postoperative regime. |
|---|---|
| AbstractList | Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane endothelial keratoplasty (DMEK). Automated delineation of the corneal interfaces in anterior segment optical coherence tomography (AS-OCT) can be challenging for corneas that are irregularly shaped due to pathology, or as a consequence of surgery, leading to incorrect thickness measurements. In this research, deep learning is used to automatically delineate the corneal interfaces and measure corneal thickness with high accuracy in post-DMEK AS-OCT B-scans. Three different deep learning strategies were developed based on 960 B-scans from 50 patients. On an independent test set of 320 B-scans, corneal thickness could be measured with an error of 13.98 to 15.50 μm for the central 9 mm range, which is less than 3% of the average corneal thickness. The accurate thickness measurements were used to construct detailed pachymetry maps. Moreover, follow-up scans could be registered based on anatomical landmarks to obtain differential pachymetry maps. These maps may enable a more comprehensive understanding of the restoration of the endothelial function after DMEK, where thickness often varies throughout different regions of the cornea, and subsequently contribute to a standardized postoperative regime. Abstract Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane endothelial keratoplasty (DMEK). Automated delineation of the corneal interfaces in anterior segment optical coherence tomography (AS-OCT) can be challenging for corneas that are irregularly shaped due to pathology, or as a consequence of surgery, leading to incorrect thickness measurements. In this research, deep learning is used to automatically delineate the corneal interfaces and measure corneal thickness with high accuracy in post-DMEK AS-OCT B-scans. Three different deep learning strategies were developed based on 960 B-scans from 50 patients. On an independent test set of 320 B-scans, corneal thickness could be measured with an error of 13.98 to 15.50 μm for the central 9 mm range, which is less than 3% of the average corneal thickness. The accurate thickness measurements were used to construct detailed pachymetry maps. Moreover, follow-up scans could be registered based on anatomical landmarks to obtain differential pachymetry maps. These maps may enable a more comprehensive understanding of the restoration of the endothelial function after DMEK, where thickness often varies throughout different regions of the cornea, and subsequently contribute to a standardized postoperative regime. Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane endothelial keratoplasty (DMEK). Automated delineation of the corneal interfaces in anterior segment optical coherence tomography (AS-OCT) can be challenging for corneas that are irregularly shaped due to pathology, or as a consequence of surgery, leading to incorrect thickness measurements. In this research, deep learning is used to automatically delineate the corneal interfaces and measure corneal thickness with high accuracy in post-DMEK AS-OCT B-scans. Three different deep learning strategies were developed based on 960 B-scans from 50 patients. On an independent test set of 320 B-scans, corneal thickness could be measured with an error of 13.98 to 15.50 μm for the central 9 mm range, which is less than 3% of the average corneal thickness. The accurate thickness measurements were used to construct detailed pachymetry maps. Moreover, follow-up scans could be registered based on anatomical landmarks to obtain differential pachymetry maps. These maps may enable a more comprehensive understanding of the restoration of the endothelial function after DMEK, where thickness often varies throughout different regions of the cornea, and subsequently contribute to a standardized postoperative regime. |
| ArticleNumber | 13976 |
| Author | van den Berg, Myrthe A. Veta, Mitko van der Hoek, Luuk Alberti, Mark Heslinga, Friso G. Pluim, Josien P. W. Cabrerizo, Javier Lucassen, Ruben T. |
| Author_xml | – sequence: 1 givenname: Friso G. orcidid: 0000-0002-8383-307X surname: Heslinga fullname: Heslinga, Friso G. email: fgheslinga@gmail.com organization: Department of Biomedical Engineering, Eindhoven University of Technology – sequence: 2 givenname: Ruben T. surname: Lucassen fullname: Lucassen, Ruben T. organization: Department of Biomedical Engineering, Eindhoven University of Technology – sequence: 3 givenname: Myrthe A. surname: van den Berg fullname: van den Berg, Myrthe A. organization: Department of Biomedical Engineering, Eindhoven University of Technology – sequence: 4 givenname: Luuk surname: van der Hoek fullname: van der Hoek, Luuk organization: Department of Biomedical Engineering, Eindhoven University of Technology – sequence: 5 givenname: Josien P. W. surname: Pluim fullname: Pluim, Josien P. W. organization: Department of Biomedical Engineering, Eindhoven University of Technology – sequence: 6 givenname: Javier surname: Cabrerizo fullname: Cabrerizo, Javier organization: Ophthalmology Department, Rigshospitalet - Glostrup, Copenhagen Eye Foundation – sequence: 7 givenname: Mark surname: Alberti fullname: Alberti, Mark organization: Ophthalmology Department, Rigshospitalet - Glostrup – sequence: 8 givenname: Mitko surname: Veta fullname: Veta, Mitko organization: Department of Biomedical Engineering, Eindhoven University of Technology |
| BookMark | eNp9kstu1DAUhi1URMvQF2AViQ2bgG9x7A1SNeVSqVKFKGvLl-OZDEk82Bmk7HgNXo8nwZ1UQFnghW35_P9n--h_ik7GOAJCzwl-RTCTrzMnjZI1pqRWjEhRq0fojGLe1JRRevLX_hSd57zDZTRUcaKeoFPGKeOkVWfo4zqmEUxf7Y3bzgNMaa7sXF18qm_Wt5UJE6TqErKDUvr5_UeuBhhsMiNUMPo4baHvivkLJDPFfW_yND9Dj4PpM5zfryv0-d3b2_WH-vrm_dX64rp2DWmnmtCWSSwwdZZIH4KCYK0N3LVYBqDcMQlWCUmDV8JLZ0rRC-tlCMIDt2yFrhauj2an96kbTJp1NJ0-HsS00SZNnetBG2oJbinGzCsOxkgVjGyoKHe4lpI71puFtT_YAbyDcUqmfwB9WBm7rd7Eb1pSwVrcFMDLe0CKXw-QJz10pWl9XzoVD1nThpe_tFSIIn3xj3QXD2ksrTqqsJKKyKKii8qlmHOC8PsxBOu7AOglALoEQB8DUOYVYospF_G4gfQH_R_XL5Vbtcc |
| CitedBy_id | crossref_primary_10_1097_ICO_0000000000003006 crossref_primary_10_1167_tvst_12_5_14 crossref_primary_10_1097_ICO_0000000000003005 crossref_primary_10_3390_cells12081167 |
| Cites_doi | 10.1016/j.jcrs.2006.06.025 10.1364/BOE.10.000622 10.1111/cxo.12869 10.1016/j.ophtha.2006.01.048 10.1167/tvst.9.2.18 10.1136/bjophthalmol-2018-313173 10.1016/j.ophtha.2009.04.036 10.1007/s00417-015-3103-2 10.1097/ICO.0b013e31822018dd 10.1364/BOE.9.005759 10.1016/j.ajo.2014.12.007 10.1016/j.ophtha.2008.08.004 10.1136/bjo.37.5.301 10.1016/j.ajo.2020.04.005 10.1016/j.ophtha.2019.09.033 10.1038/nature14539 10.1364/BOE.8.003627 10.1136/bjophthalmol-2014-305562 10.1167/tvst.9.2.15 10.1097/00003226-200403000-00008 10.1097/ICO.0000000000001776 10.1364/BOE.8.002732 10.1097/01.ico.0000243962.60392.4f 10.1016/j.ajo.2019.02.028 10.1167/iovs.18-24332 10.1001/archopthalmol.2011.1626 10.1016/j.preteyeres.2018.04.002 10.1167/tvst.9.2.48 10.1364/BOE.9.003049 10.1007/978-3-319-24574-4_28 10.1038/s41598-019-49816-4 10.1109/CVPR.2016.308 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2021 The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2021 – notice: The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AFKRA AZQEC BBNVY BENPR BHPHI CCPQU DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PIMPY PQEST PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
| DOI | 10.1038/s41598-021-93186-9 |
| DatabaseName | SpringerOpen (Open Access) CrossRef ProQuest Central (Corporate) Proquest Health & Medical Complete ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest Central ProQuest Central Essentials Biological Science Collection ProQuest Central ProQuest Natural Science Collection ProQuest One Community College ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection (Proquest) (PQ_SDU_P3) ProQuest Health & Medical Complete (Alumni) ProQuest Biological Science Collection Health & Medical Collection (Alumni Edition) PML(ProQuest Medical Library) ProQuest Science Journals Biological Science Database Publicly Available Content Database (Proquest) (PQ_SDU_P3) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database ProQuest Central Student ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Natural Science Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Biological Science Collection ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | CrossRef Publicly Available Content Database |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: http://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 13976 |
| ExternalDocumentID | oai_doaj_org_article_a2b1072003d94eaa89fa8526c38c721b 10_1038_s41598_021_93186_9 |
| GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD ABDBF ABUWG ACGFS ACSMW ADBBV ADRAZ AENEX AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RIG RNT RNTTT RPM SNYQT UKHRP AAYXX CITATION 7XB 8FK K9. PQEST PQUKI PRINS Q9U 7X8 5PM AFPKN |
| ID | FETCH-LOGICAL-c517t-127380602cb18dff9efbbbf4c708fe24c38eb9682fd96d8cabbfd6bd8ff6de4b3 |
| IEDL.DBID | RPM |
| ISSN | 2045-2322 |
| IngestDate | Tue Oct 22 15:03:21 EDT 2024 Tue Sep 17 20:55:14 EDT 2024 Sat Oct 26 00:05:37 EDT 2024 Fri Nov 01 01:23:53 EDT 2024 Thu Nov 21 22:36:15 EST 2024 Fri Oct 11 20:52:16 EDT 2024 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c517t-127380602cb18dff9efbbbf4c708fe24c38eb9682fd96d8cabbfd6bd8ff6de4b3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ORCID | 0000-0002-8383-307X |
| OpenAccessLink | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8263705/ |
| PMID | 34234179 |
| PQID | 2549098918 |
| PQPubID | 2041939 |
| PageCount | 1 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_a2b1072003d94eaa89fa8526c38c721b pubmedcentral_primary_oai_pubmedcentral_nih_gov_8263705 proquest_miscellaneous_2549687266 proquest_journals_2549098918 crossref_primary_10_1038_s41598_021_93186_9 springer_journals_10_1038_s41598_021_93186_9 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-07-07 |
| PublicationDateYYYYMMDD | 2021-07-07 |
| PublicationDate_xml | – month: 07 year: 2021 text: 2021-07-07 day: 07 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationYear | 2021 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | Ang (CR18) 2018; 66 Roy (CR31) 2017; 8 CR19 Bourges (CR21) 2009; 116 Patel, Hodge, Treichel, Spiegel, Baratz (CR2) 2020; 127 CR17 CR38 Röck, Bramkamp, Bartz-Schmidt, Röck, Yörük (CR25) 2015; 253 CR37 CR36 CR35 CR34 Lecun, Bengio, Hinton (CR9) 2015; 521 Fang (CR28) 2017; 8 CR30 Li (CR4) 2008; 115 Cook, Langham (CR5) 1953; 37 Fu (CR12) 2019; 203 Vasiliauskaitė (CR24) 2020; 217 Hashemi (CR23) 2011; 30 Lim (CR7) 2015; 2015 Deng, Sanchez, Chen (CR27) 2015; 159 Wang, Galles, Klein, Locke, Birch (CR29) 2020; 9 Ambrósio Jr, Alonso, Luz, Coca Velarde (CR3) 2006; 32 Hamwood, Alonso-Caneiro, Read, Vincent, Collins (CR32) 2018; 9 Kugelman, Alonso-Caneiro, Read, Vincent, Collins (CR33) 2018; 9 Dos Santos (CR15) 2019; 10 Wilhelmus, Sugar, Hyndiuk, Stulting (CR6) 2006; 23 Bucher (CR26) 2015; 99 Ting (CR10) 2019; 103 Heslinga, Alberti, Pluim, Cabrerizo, Veta (CR14) 2020; 9 Wang, Cornish, Grigg, McCluskey (CR8) 2019; 102 Treder, Lauermann, Alnawaiseh, Eter (CR13) 2019; 38 Li, Shekhar, Huang (CR20) 2006; 113 Kopplin (CR1) 2012; 130 Ma (CR22) 2018; 59 Melles, Ong, Ververs, van der Wees (CR16) 2006; 25 Xu, Chiang, Pardeshi, Moghimi, Varma (CR11) 2020; 9 H Fu (93186_CR12) 2019; 203 SH Lim (93186_CR7) 2015; 2015 93186_CR30 J Kugelman (93186_CR33) 2018; 9 BY Xu (93186_CR11) 2020; 9 93186_CR34 93186_CR35 AG Roy (93186_CR31) 2017; 8 F Bucher (93186_CR26) 2015; 99 L Fang (93186_CR28) 2017; 8 93186_CR38 R Ambrósio Jr (93186_CR3) 2006; 32 93186_CR17 93186_CR36 SV Patel (93186_CR2) 2020; 127 93186_CR37 SB Wang (93186_CR8) 2019; 102 SX Deng (93186_CR27) 2015; 159 DSW Ting (93186_CR10) 2019; 103 I Vasiliauskaitė (93186_CR24) 2020; 217 YZ Wang (93186_CR29) 2020; 9 VA Dos Santos (93186_CR15) 2019; 10 C Cook (93186_CR5) 1953; 37 R Ma (93186_CR22) 2018; 59 Y Li (93186_CR20) 2006; 113 RJ Melles (93186_CR16) 2006; 25 M Ang (93186_CR18) 2018; 66 Y Li (93186_CR4) 2008; 115 H Hashemi (93186_CR23) 2011; 30 T Röck (93186_CR25) 2015; 253 JL Bourges (93186_CR21) 2009; 116 FG Heslinga (93186_CR14) 2020; 9 93186_CR19 Y Lecun (93186_CR9) 2015; 521 J Hamwood (93186_CR32) 2018; 9 M Treder (93186_CR13) 2019; 38 LJ Kopplin (93186_CR1) 2012; 130 KR Wilhelmus (93186_CR6) 2006; 23 |
| References_xml | – volume: 32 start-page: 1851 issue: 11 year: 2006 end-page: 1859 ident: CR3 article-title: Corneal-thickness spatial profile and corneal-volume distribution: Tomographic indices to detect keratoconus. publication-title: J. Cataract Refract. Surg. doi: 10.1016/j.jcrs.2006.06.025 contributor: fullname: Coca Velarde – volume: 10 start-page: 622 issue: 2 year: 2019 end-page: 641 ident: CR15 article-title: CorneaNet: Fast segmentation of cornea OCT scans of healthy and keratoconic eyes using deep learning publication-title: Biomed. Opt. Express doi: 10.1364/BOE.10.000622 contributor: fullname: Dos Santos – volume: 102 start-page: 195 issue: 3 year: 2019 end-page: 207 ident: CR8 article-title: Anterior segment optical coherence tomography and its clinical applications publication-title: Clin. Exp. Optom. doi: 10.1111/cxo.12869 contributor: fullname: McCluskey – volume: 113 start-page: 792 issue: 5 year: 2006 end-page: 799 ident: CR20 article-title: Corneal pachymetry mapping with high-speed optical coherence tomography publication-title: Ophthalmology doi: 10.1016/j.ophtha.2006.01.048 contributor: fullname: Huang – volume: 9 start-page: 18 issue: 2 year: 2020 ident: CR11 article-title: Deep neural network for scleral spur detection in anterior segment OCT images: The Chinese American eye study publication-title: Trans. Vis. Sci. Technol. doi: 10.1167/tvst.9.2.18 contributor: fullname: Varma – volume: 103 start-page: 167 year: 2019 end-page: 175 ident: CR10 article-title: Artificial intelligence and deep learning in ophthalmology publication-title: Br. J. Ophthalmol. doi: 10.1136/bjophthalmol-2018-313173 contributor: fullname: Ting – volume: 116 start-page: 2064 issue: 11 year: 2009 end-page: 2071 ident: CR21 article-title: Average 3-dimensional models for the comparison of Orbscan II and Pentacam pachymetry maps in normal corneas publication-title: Ophthalmology doi: 10.1016/j.ophtha.2009.04.036 contributor: fullname: Bourges – ident: CR37 – volume: 253 start-page: 2217 year: 2015 end-page: 2222 ident: CR25 article-title: Causes that influence the detachment rate after Descemet membrane endothelial keratoplasty publication-title: Graefes. Arch. Clin. Exp. Ophthalmol. doi: 10.1007/s00417-015-3103-2 contributor: fullname: Yörük – ident: CR30 – volume: 30 start-page: 1409 issue: 12 year: 2011 end-page: 1413 ident: CR23 article-title: The distribution of corneal thickness in a 40- to 64-year-old population of Shahroud, Iran publication-title: Cornea doi: 10.1097/ICO.0b013e31822018dd contributor: fullname: Hashemi – volume: 9 start-page: 5759 year: 2018 end-page: 5777 ident: CR33 article-title: Automatic segmentation of OCT retinal boundaries using recurrent neural networks and graph search publication-title: Biomed. Opt. Express doi: 10.1364/BOE.9.005759 contributor: fullname: Collins – ident: CR35 – volume: 159 start-page: 590 year: 2015 end-page: 596 ident: CR27 article-title: Clinical outcomes of Descemet membrane endothelial keratoplasty using eye bank-prepared tissues publication-title: Am. J. Ophthalmol. doi: 10.1016/j.ajo.2014.12.007 contributor: fullname: Chen – volume: 115 start-page: 2159 issue: 12 year: 2008 end-page: 2166 ident: CR4 article-title: Keratoconus diagnosis with optical coherence tomography pachymetry mapping publication-title: Ophthalmology doi: 10.1016/j.ophtha.2008.08.004 contributor: fullname: Li – volume: 37 start-page: 301 year: 1953 end-page: 304 ident: CR5 article-title: Corneal thickness in interstitial keratitis publication-title: Br. J. Ophthalmol. doi: 10.1136/bjo.37.5.301 contributor: fullname: Langham – volume: 217 start-page: 114 year: 2020 end-page: 120 ident: CR24 article-title: Descemet membrane endothelial keratoplasty: Ten-year graft survival and clinical outcomes publication-title: Am. J. Ophthalmol. doi: 10.1016/j.ajo.2020.04.005 contributor: fullname: Vasiliauskaitė – volume: 127 start-page: 315 issue: 3 year: 2020 end-page: 323 ident: CR2 article-title: Predicting the prognosis of Fuchs endothelial corneal dystrophy by using Scheimpflug tomography publication-title: Ophthalmology doi: 10.1016/j.ophtha.2019.09.033 contributor: fullname: Baratz – volume: 521 start-page: 436 year: 2015 end-page: 444 ident: CR9 article-title: Deep learning publication-title: Nature doi: 10.1038/nature14539 contributor: fullname: Hinton – volume: 2015 start-page: 1 year: 2015 end-page: 12 ident: CR7 article-title: Clinical applications of anterior segment optical coherence tomography publication-title: J. Ophthalmol. contributor: fullname: Lim – volume: 8 start-page: 3627 issue: 8 year: 2017 end-page: 3642 ident: CR31 article-title: ReLayNet: Retinal layer and fluid segmentation of macular optical coherence tomography using fully convolutional networks publication-title: Biomed. Opt. Express doi: 10.1364/BOE.8.003627 contributor: fullname: Roy – volume: 99 start-page: 768 year: 2015 end-page: 772 ident: CR26 article-title: Spontaneous long-term course of persistent peripheral graft detachments after Descemet’s membrane endothelial keratoplasty publication-title: Br. J. Ophthalmol. doi: 10.1136/bjophthalmol-2014-305562 contributor: fullname: Bucher – volume: 9 start-page: 15 issue: 2 year: 2020 ident: CR29 article-title: Application of a deep machine learning model for automatic measurement of EZ Width in SD-OCT Images of RP publication-title: Transl. Vis. Sci. Technol. doi: 10.1167/tvst.9.2.15 contributor: fullname: Birch – volume: 23 start-page: 154 issue: 2 year: 2006 end-page: 157 ident: CR6 article-title: Corneal thickness changes during herpes simplex virus disciform keratitis publication-title: Cornea doi: 10.1097/00003226-200403000-00008 contributor: fullname: Stulting – ident: CR19 – volume: 38 start-page: 157 issue: 2 year: 2019 end-page: 161 ident: CR13 article-title: Using deep learning in automated detection of graft detachment in Descemet membrane endothelial keratoplasty: A pilot study publication-title: Cornea doi: 10.1097/ICO.0000000000001776 contributor: fullname: Eter – volume: 8 start-page: 2732 issue: 5 year: 2017 end-page: 2744 ident: CR28 article-title: Automatic segmentation of nine retinal layer boundaries in OCT images of non-exudative AMD patients using deep learning and graph search publication-title: Biomed. Opt. Express. doi: 10.1364/BOE.8.002732 contributor: fullname: Fang – volume: 25 start-page: 987 issue: 8 year: 2006 end-page: 990 ident: CR16 article-title: Descemet membrane endothelial keratoplasty (DMEK) publication-title: Cornea doi: 10.1097/01.ico.0000243962.60392.4f contributor: fullname: van der Wees – ident: CR38 – volume: 203 start-page: 37 year: 2019 end-page: 45 ident: CR12 article-title: A deep learning system for automated angle-closure detection in anterior segment optical coherence tomography images publication-title: Am. J. Ophthalmol. doi: 10.1016/j.ajo.2019.02.028 contributor: fullname: Fu – volume: 59 start-page: 3366 year: 2018 end-page: 3374 ident: CR22 article-title: Distribution and trends in corneal thickness parameters in a large population-based multicenter study of young Chinese adults publication-title: Investig. Ophthalmol. Vis. Sci. doi: 10.1167/iovs.18-24332 contributor: fullname: Ma – ident: CR17 – volume: 130 start-page: 433 issue: 4 year: 2012 end-page: 439 ident: CR1 article-title: Relationship of Fuchs’ endothelial corneal dystrophy severity to central corneal thickness publication-title: Arch. Ophthalmol. doi: 10.1001/archopthalmol.2011.1626 contributor: fullname: Kopplin – ident: CR34 – ident: CR36 – volume: 66 start-page: 132 year: 2018 end-page: 156 ident: CR18 article-title: Anterior segment optical coherence tomography publication-title: Prog. Retin. Eye Res. doi: 10.1016/j.preteyeres.2018.04.002 contributor: fullname: Ang – volume: 9 start-page: 48 issue: 2 year: 2020 ident: CR14 article-title: Quantifying graft detachment after Descemet’s membrane endothelial keratoplasty with deep convolutional neural networks publication-title: Trans. Vis. Sci. Technol. doi: 10.1167/tvst.9.2.48 contributor: fullname: Veta – volume: 9 start-page: 3049 year: 2018 end-page: 3066 ident: CR32 article-title: Effect of patch size and network architecture on a convolutional neural network approach for automatic segmentation of OCT retinal layers publication-title: Biomed. Opt. Express doi: 10.1364/BOE.9.003049 contributor: fullname: Collins – volume: 8 start-page: 2732 issue: 5 year: 2017 ident: 93186_CR28 publication-title: Biomed. Opt. Express. doi: 10.1364/BOE.8.002732 contributor: fullname: L Fang – volume: 203 start-page: 37 year: 2019 ident: 93186_CR12 publication-title: Am. J. Ophthalmol. doi: 10.1016/j.ajo.2019.02.028 contributor: fullname: H Fu – volume: 113 start-page: 792 issue: 5 year: 2006 ident: 93186_CR20 publication-title: Ophthalmology doi: 10.1016/j.ophtha.2006.01.048 contributor: fullname: Y Li – ident: 93186_CR35 – volume: 217 start-page: 114 year: 2020 ident: 93186_CR24 publication-title: Am. J. Ophthalmol. doi: 10.1016/j.ajo.2020.04.005 contributor: fullname: I Vasiliauskaitė – ident: 93186_CR37 – volume: 116 start-page: 2064 issue: 11 year: 2009 ident: 93186_CR21 publication-title: Ophthalmology doi: 10.1016/j.ophtha.2009.04.036 contributor: fullname: JL Bourges – volume: 9 start-page: 15 issue: 2 year: 2020 ident: 93186_CR29 publication-title: Transl. Vis. Sci. Technol. doi: 10.1167/tvst.9.2.15 contributor: fullname: YZ Wang – volume: 9 start-page: 18 issue: 2 year: 2020 ident: 93186_CR11 publication-title: Trans. Vis. Sci. Technol. doi: 10.1167/tvst.9.2.18 contributor: fullname: BY Xu – volume: 9 start-page: 48 issue: 2 year: 2020 ident: 93186_CR14 publication-title: Trans. Vis. Sci. Technol. doi: 10.1167/tvst.9.2.48 contributor: fullname: FG Heslinga – volume: 103 start-page: 167 year: 2019 ident: 93186_CR10 publication-title: Br. J. Ophthalmol. doi: 10.1136/bjophthalmol-2018-313173 contributor: fullname: DSW Ting – volume: 115 start-page: 2159 issue: 12 year: 2008 ident: 93186_CR4 publication-title: Ophthalmology doi: 10.1016/j.ophtha.2008.08.004 contributor: fullname: Y Li – volume: 37 start-page: 301 year: 1953 ident: 93186_CR5 publication-title: Br. J. Ophthalmol. doi: 10.1136/bjo.37.5.301 contributor: fullname: C Cook – volume: 102 start-page: 195 issue: 3 year: 2019 ident: 93186_CR8 publication-title: Clin. Exp. Optom. doi: 10.1111/cxo.12869 contributor: fullname: SB Wang – volume: 30 start-page: 1409 issue: 12 year: 2011 ident: 93186_CR23 publication-title: Cornea doi: 10.1097/ICO.0b013e31822018dd contributor: fullname: H Hashemi – ident: 93186_CR19 doi: 10.1007/978-3-319-24574-4_28 – volume: 59 start-page: 3366 year: 2018 ident: 93186_CR22 publication-title: Investig. Ophthalmol. Vis. Sci. doi: 10.1167/iovs.18-24332 contributor: fullname: R Ma – ident: 93186_CR34 doi: 10.1038/s41598-019-49816-4 – volume: 23 start-page: 154 issue: 2 year: 2006 ident: 93186_CR6 publication-title: Cornea doi: 10.1097/00003226-200403000-00008 contributor: fullname: KR Wilhelmus – volume: 25 start-page: 987 issue: 8 year: 2006 ident: 93186_CR16 publication-title: Cornea doi: 10.1097/01.ico.0000243962.60392.4f contributor: fullname: RJ Melles – volume: 8 start-page: 3627 issue: 8 year: 2017 ident: 93186_CR31 publication-title: Biomed. Opt. Express doi: 10.1364/BOE.8.003627 contributor: fullname: AG Roy – volume: 253 start-page: 2217 year: 2015 ident: 93186_CR25 publication-title: Graefes. Arch. Clin. Exp. Ophthalmol. doi: 10.1007/s00417-015-3103-2 contributor: fullname: T Röck – volume: 10 start-page: 622 issue: 2 year: 2019 ident: 93186_CR15 publication-title: Biomed. Opt. Express doi: 10.1364/BOE.10.000622 contributor: fullname: VA Dos Santos – volume: 2015 start-page: 1 year: 2015 ident: 93186_CR7 publication-title: J. Ophthalmol. contributor: fullname: SH Lim – volume: 99 start-page: 768 year: 2015 ident: 93186_CR26 publication-title: Br. J. Ophthalmol. doi: 10.1136/bjophthalmol-2014-305562 contributor: fullname: F Bucher – volume: 9 start-page: 5759 year: 2018 ident: 93186_CR33 publication-title: Biomed. Opt. Express doi: 10.1364/BOE.9.005759 contributor: fullname: J Kugelman – ident: 93186_CR36 – ident: 93186_CR30 – volume: 66 start-page: 132 year: 2018 ident: 93186_CR18 publication-title: Prog. Retin. Eye Res. doi: 10.1016/j.preteyeres.2018.04.002 contributor: fullname: M Ang – ident: 93186_CR17 – volume: 130 start-page: 433 issue: 4 year: 2012 ident: 93186_CR1 publication-title: Arch. Ophthalmol. doi: 10.1001/archopthalmol.2011.1626 contributor: fullname: LJ Kopplin – volume: 159 start-page: 590 year: 2015 ident: 93186_CR27 publication-title: Am. J. Ophthalmol. doi: 10.1016/j.ajo.2014.12.007 contributor: fullname: SX Deng – volume: 521 start-page: 436 year: 2015 ident: 93186_CR9 publication-title: Nature doi: 10.1038/nature14539 contributor: fullname: Y Lecun – volume: 9 start-page: 3049 year: 2018 ident: 93186_CR32 publication-title: Biomed. Opt. Express doi: 10.1364/BOE.9.003049 contributor: fullname: J Hamwood – volume: 127 start-page: 315 issue: 3 year: 2020 ident: 93186_CR2 publication-title: Ophthalmology doi: 10.1016/j.ophtha.2019.09.033 contributor: fullname: SV Patel – volume: 38 start-page: 157 issue: 2 year: 2019 ident: 93186_CR13 publication-title: Cornea doi: 10.1097/ICO.0000000000001776 contributor: fullname: M Treder – volume: 32 start-page: 1851 issue: 11 year: 2006 ident: 93186_CR3 publication-title: J. Cataract Refract. Surg. doi: 10.1016/j.jcrs.2006.06.025 contributor: fullname: R Ambrósio Jr – ident: 93186_CR38 doi: 10.1109/CVPR.2016.308 |
| SSID | ssj0000529419 |
| Score | 2.4193108 |
| Snippet | Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane endothelial... Abstract Corneal thickness (pachymetry) maps can be used to monitor restoration of corneal endothelial function, for example after Descemet’s membrane... |
| SourceID | doaj pubmedcentral proquest crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Publisher |
| StartPage | 13976 |
| SubjectTerms | 692/53/2423 692/699/3161/3163 692/700/1421/2025 Cornea Corneal transplantation Deep learning Humanities and Social Sciences Interfaces multidisciplinary Science Science (multidisciplinary) Surgery |
| SummonAdditionalLinks | – databaseName: Directory of Open Access Journals dbid: DOA link: http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELagEhIXxFMESmUkbhDVjhNnfGy3rXoCoRaJm-WnimCz1T4OufE3-Hv8ko6d7JZUQly4ZizFnhnH88Uz3xDyzoUUZzSmFCKRagsHpakQrEADoRF1sA1P1cjnF-3Hr3Bymmhydq2-Uk7YQA88KO7QVBYRSkqh8qoOxoCKBppKOgEO0YvNX18m_wBTA6t3pWquxioZJuBwhSdVqiZLGQnox7JUk5MoE_ZPosy7OZJ3Lkrz-XP2mDwaA0d6NEz4CbkXuqfkwdBKsn9GPs8Wyw6DPooY-Kqfh_Wyp7anRxflp9klzZ3A6UmibkLR75-_VnQe5giUu0BD51MV1g90RPo9USwvrjGiXvfPyZez08vZeTm2Syhdw9t1yVOVDZOscpaDj1GFaK2NtWsZxFDVqLFglYQqeiU9OINCL62HGKUPtRUvyF636MJLQr0RlikDPNaxZpGDqyQItEE0jkehCvJ-qzp9PbBi6HybLUAPitaoaJ0VrXH0cdLubmRitM4P0M56tLP-l50Lsr-1jR632UondMsUKA4FebsT4wZJtx6owsVmGCOhxUCkIO3EppMJTSXdt6tMtY3gS7SsKciHrfVvX_73Bb_6Hwt-TR5WyVvzr-R9srdebsIbcn_lNwfZ128A0ZYDeA priority: 102 providerName: Directory of Open Access Journals |
| Title | Corneal pachymetry by AS-OCT after Descemet’s membrane endothelial keratoplasty |
| URI | https://link.springer.com/article/10.1038/s41598-021-93186-9 https://www.proquest.com/docview/2549098918 https://search.proquest.com/docview/2549687266 https://pubmed.ncbi.nlm.nih.gov/PMC8263705 https://doaj.org/article/a2b1072003d94eaa89fa8526c38c721b |
| Volume | 11 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3LbtUwELW4lZDYoPISoaVyJXaQ3iTOY7wst6264aUWiZ3lJ61okqv7WGTHb_B7fAljJymkUjdsM5bszIzjM_HMGULeaOtxRiFjxjypNtMQywyDFSjAFiy3qkh9NfL5RfXxG5ycepqcYqyFCUn7Wl0fNTf1UXN9FXIrl7Wej3li888fFgiJWZUU8xmZITb8J0TvCb0znqd8KJBJGMzXeEj5QjKfjIAuXMaeKtQz3_nuW5PzKND2T7Dm3UzJO9el4RQ62yWPB_hIj_tlPiEPbPOUPOwbSnbPyJdFu2oQ-lGMhK-62m5WHVUdPb6IPy0uaegHTk88gROKfv_8taa1rTFcbiy1jfG1WDfojvSHJ1pul4irN91z8vXs9HJxHg9NE2JdpNUmTn2tTVImmVYpGOe4dUopl-sqAWezXDOwipeQOcNLA1qi0JTKgHOlsbliL8hO0zb2JaFGMpVwCanLXZ64FHRWAsPPgJM6dYxH5O2oOrHsuTFEuNNmIHqdC9S5CDoXOPq91-7tSM9rHR60q-9isK6QmcJ41CfMGZ5bKYE7CUVW4qo1xqoqIvujbcSw2dbCx7gJB55CRA5vxbhN_N0HqrDd9mNKqBCORKSa2HSyoKkE_S8Qbg_-FpF3o_X_Tn7_C7_674n2yKPMe2v4i7xPdjarrX1NZmuzPQj_DA6Cx_8BxvkFTA |
| link.rule.ids | 230,315,729,782,786,866,887,2106,27933,27934,53801,53803 |
| linkProvider | National Library of Medicine |
| linkToHtml | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9QwELZoEYILb0SggJG4QbpxnId9LNtWi2gLqIvEzfKTVjTJah-H3Pgb_D1-CWMnKaQSl14zlux4ZuJv4plvEHqjrccZuYwp9aTaVLNYphCssJzZnGZW5cRXI89Oy5NvbP_A0-TkQy1MSNrX6ny3vqh26_OzkFu5qPRkyBObfD6eAiSmZZJPttBN8NeE_BOkd5TeKc8I70tkEsomKzimfCmZT0cAIy5iTxbque98_63RiRSI-0do82qu5JUL03AOHd675hvcR3d74In3OvEDdMPWD9GtrhVl-wh9mTbLGkAjhhj6rK3setli1eK90_jTdI5DJ3G876mfQPT7568VrmwFgXZtsa2Nr-K6AEPGPzxFc7MARL5uH6Ovhwfz6Szu2y3EOiflOia-SicpklQrwoxz3DqllMt0mTBn00xTZhUvWOoMLwzTEoSmUIY5VxibKfoEbddNbZ8ibCRVCZeMuMxliSNMpwWj8AFxUhNHeYTeDlsuFh2rhgi34ZSJTlcCdCWCrgSMfu-1cjnSM2KHB83yu-h3VchUQSTrU-0Mz6yUjDvJ8rSAVWuIclWEdgadit5NV8JHxwlnnLAIvb4Ug4P5WxPYwmbTjSlYCUAmQuXIFkYLGktA74Gqu9dzhN4NVvN38v-_8LNrT_QK3Z7Nj4_E0YeTj8_RndRbfPgXvYO218uNfYG2VmbzMvjLHyYzGd8 |
| linkToPdf | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9RADB7RIhCX8qxIKRAkbpDmMXl4jmW3qyKgFLVI3EbzpBVNstrHITf-Bn-PX4Jnkl3YSlzgGluah-0ZO2N_JuSlMs7PKEREqQPVpgoikWGwAgWYguZGFqmrRj4-q06-wPjIweSsW335pH0lLw-aq_qgubzwuZXTWsWrPLH49MMIXWJaJUU81TbeIjfRZhP6R6Dew3pnLE_ZUCaTUIjneFW5cjKXkoCKXEYOMNTh37keXBu3kgfv3_A4r-dLXns09XfR5O5_rOIe2Rkc0PCwZ7lPbpjmAbnVt6TsHpJPo3bWoPMYYix90dVmMetC2YWHZ9HH0XnoO4qHYwcBhaSf33_Mw9rUGHA3JjSNdtVcV6jQ4TcH1dxO0TNfdI_I58nR-eg4GtouRKpIq0WUumqdpEwyJVPQ1jJjpZQ2V1UC1mS5omAkKyGzmpUalECiLqUGa0ttckl3yXbTNuYxCbWgMmECUpvbPLEpqKwEigeJFSq1lAXk1Wrb-bRH1-D-VZwC7-XFUV7cy4sj9xsnmTWnQ8b2H9rZVz7sLBeZxIjWpdxplhshgFkBRVbirBVGuzIg-yu58sFc59xFyQkDlkJAXqzJaGju9QS3sF32PCVU6NAEpNrQh40JbVJQ9h6ye5B1QF6vNOf34H9f8N4_D_Sc3D4dT_j7tyfvnpA7mVN6_0t6n2wvZkvzlGzN9fKZN5lf-c0cXw |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Corneal+pachymetry+by+AS-OCT+after+Descemet%E2%80%99s+membrane+endothelial+keratoplasty&rft.jtitle=Scientific+reports&rft.au=Heslinga%2C+Friso+G.&rft.au=Lucassen%2C+Ruben+T.&rft.au=van+den+Berg%2C+Myrthe+A.&rft.au=van+der+Hoek%2C+Luuk&rft.date=2021-07-07&rft.pub=Nature+Publishing+Group+UK&rft.eissn=2045-2322&rft.volume=11&rft.issue=1&rft_id=info:doi/10.1038%2Fs41598-021-93186-9&rft.externalDocID=10_1038_s41598_021_93186_9 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |