Quantification of External Limiting Membrane Disruption Caused by Diabetic Macular Edema from SD-OCT

被引:38
|
作者
Chen, Xinjian [1 ]
Zhang, Li [1 ]
Sohn, Elliott H. [2 ,3 ,4 ]
Lee, Kyungmoo [1 ]
Niemeijer, Meindert [1 ,2 ,3 ]
Chen, John [2 ,3 ]
Sonka, Milan [1 ,2 ,3 ]
Abramoff, Michael D. [1 ,3 ,4 ,5 ]
机构
[1] Univ Iowa, Dept Elect & Comp Engn, Iowa City, IA 52242 USA
[2] Univ Iowa, Dept Ophthalmol & Visual Sci, Iowa City, IA 52242 USA
[3] Univ Iowa, Dept Biomed Engn, Iowa City, IA 52242 USA
[4] Iowa City Vet Assocat Hlth Care Syst, Vet Assoc Med Ctr, Iowa City, IA USA
[5] Inst Vis Res, Iowa City, IA USA
基金
美国国家卫生研究院;
关键词
OPTICAL COHERENCE TOMOGRAPHY; VISUAL-ACUITY; LAYER; PATHOPHYSIOLOGY; SEGMENTATION; RESOLUTION; IMAGES;
D O I
10.1167/iovs.12-10083
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
PURPOSE. Disruption of external limiting membrane (ELM) integrity on spectral-domain optical coherence tomography (SD-OCT) is associated with lower visual acuity outcomes in patients suffering from diabetic macular edema (DME). However, no automated methods to detect ELM and/or determine its integrity from SD-OCT exist. METHODS. Sixteen subjects diagnosed with clinically significant DME (CSME) were included and underwent macula-centered SD-OCT (512 x 19 x 496 voxels). Sixteen subjects without retinal thickening and normal acuity were also scanned (200 x 200 x 1024 voxels). Automated quantification of ELM disruption was achieved as follows. First, 11 surfaces were automatically segmented using our standard 3-D graph-search approach, and the subvolume between surface 6 and 11 containing the ELM region was flattened based on the segmented retinal pigment epithelium (RPE) layer. A second, edge-based graph-search surface-detection method segmented the ELM region in close proximity "above" the RPE, and each ELM A-scan was classified as disrupted or nondisrupted based on six texture features in the vicinity of the ELM surface. The vessel silhouettes were considered in the disruption classification process to avoid false detections of ELM disruption. RESULTS. In subjects with CSME, large areas of disrupted ELM were present. In normal subjects, ELM was largely intact. The mean and 95% confidence interval (CI) of the detected disruption area volume for normal and CSME subjects were mean(normal) = 0.00087 mm(3) and CInormal = (0.00074, 0.00100), and mean(CSME) = 0.00461 mm(3) and CICSME = (0.00347, 0.00576) mm(3), respectively. CONCLUSIONS. In this preliminary study, we were able to show that automated quantification of ELM disruption is feasible and can differentiate continuous ELM in normal subjects from disrupted ELM in subjects with CSME. We have started determining the relationships of quantitative ELM disruption markers to visual outcome in patients undergoing treatment for CSME. (Invest Ophthalmol Vis Sci. 2012;53:8042-8048) DOI: 10.1167/iovs.12-10083
引用
收藏
页码:8042 / 8048
页数:7
相关论文
共 50 条
  • [1] Predicting the Visual Acuity of Patients with Diabetic Macular Edema from the Measured Disruption Status of External Limiting Membrane on the SD-OCT Scan
    Bogunovic, Hrvoje
    Abramoff, Michael
    Sohn, Elliott
    Sonka, Milan
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (15)
  • [2] Automated, software based differentiation of diabetic macular edema from pseudophakic cystoid macular edema using SD-OCT
    Munk, Marion Ronit
    Jampol, Lee M.
    Simader, Christian
    Huf, Wolfgang
    Mittermueller, Tamara
    Jaffe, Glenn J.
    Schmidt-Erfurth, Ursula
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2015, 56 (07)
  • [3] Exploration on OCT biomarker candidate related to macular edema caused by diabetic retinopathy and retinal vein occlusion in SD-OCT images
    Tao, Yuhui
    Ge, Lexin
    Su, Na
    Li, Mingchao
    Fan, Wen
    Jiang, Lin
    Yuan, Songtao
    Chen, Qiang
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [4] Comparing Optos OTI and Heidelberg Spectralis SD-OCT in Patients with Diabetic Macular Edema
    Fatum, Samia
    Sinczak, Magdalena
    Sachdev, Amun
    Chong, Victor
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (15)
  • [5] Parafoveal SD-OCT Changes after Injection of Dexamethasone Implant for Diabetic Macular Edema
    Peddada, Krishi
    Kelly, Kristen
    Li, Weiye
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2018, 59 (09)
  • [6] Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images
    Khaled Alsaih
    Guillaume Lemaitre
    Mojdeh Rastgoo
    Joan Massich
    Désiré Sidibé
    Fabrice Meriaudeau
    BioMedical Engineering OnLine, 16
  • [7] Reproducibility of Diabetic Macular Edema Estimates From SD-OCT Is Affected by the Choice of Image Analysis Algorithm
    Sohn, Elliott H.
    Chen, John J.
    Lee, Kyungmoo
    Niemeijer, Meindert
    Sonka, Milan
    Abramoff, Michael D.
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2013, 54 (06) : 4184 - 4188
  • [8] Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images
    Alsaih, Khaled
    Lemaitre, Guillaume
    Rastgoo, Mojdeh
    Massich, Joan
    Sidibe, Desire
    Meriaudeau, Fabrice
    BIOMEDICAL ENGINEERING ONLINE, 2017, 16
  • [9] Vitrectomy for diabetic macular edema and the relevance of external limiting membrane
    Domagoj Ivastinovic
    Anton Haas
    Martin Weger
    Gerald Seidel
    Christoph Mayer-Xanthaki
    Ewald Lindner
    Andreas Guttmann
    Andreas Wedrich
    BMC Ophthalmology, 21
  • [10] Vitrectomy for diabetic macular edema and the relevance of external limiting membrane
    Domagoj, Ivastinovic
    Anton, Haas
    Martin, Weger
    Gerald, Seidel
    Christoph, Mayer-Xanthaki
    Ewald, Lindner
    Andreas, Guttmann
    Andreas, Wedrich
    BMC OPHTHALMOLOGY, 2021, 21 (01)