PMID- 23737469
OWN - NLM
STAT- MEDLINE
DCOM- 20130912
LR  - 20220310
IS  - 1552-5783 (Electronic)
IS  - 0146-0404 (Linking)
VI  - 54
IP  - 6
DP  - 2013 Jun 27
TI  - Automated segmentation of pathological cavities in optical coherence tomography 
      scans.
PG  - 4385-93
LID - 10.1167/iovs.12-11396 [doi]
AB  - PURPOSE: To develop and evaluate a method for automated segmentation and 
      quantitative analysis of pathological cavities in the retina visualized by 
      spectral-domain optical coherence tomography (SD-OCT) scans. METHODS: The 
      algorithm is based on the segmentation of the gray-level intensities within a 
      B-scan by a k-means cluster analysis and subsequent classification by a k-nearest 
      neighbor algorithm. Accuracy was evaluated against three clinical experts using 
      130 bullous cavities identified on eight SD-OCT B-scans of three patients with 
      wet age-related macular degeneration (AMD) and five patients with X-linked 
      retinoschisis, as well as on one volume scan of a patient with X-linked 
      retinoschisis. The algorithm calculated the surface area of the cavities for the 
      B-scans and the volume of all cavities for the volume scan. In order to validate 
      the applicability of the algorithm in clinical use, we analyzed 31 volume scans 
      taken over the course of 4 years for one AMD patient with a serous retinal 
      detachment. RESULTS: Discrepancies in area measurements between the segmentation 
      results of the algorithm and the experts were within the range of the area 
      deviations among the experts. Volumes interpolated from the B-scan series of the 
      volume scan were comparable among experts and algorithm (0.249 mm(3) for the 
      algorithm, 0.271 mm(3) for expert 1, 0.239 mm(3) for expert 2, and 0.262 mm(3) for 
      expert 3). Volume changes of the serous retinal detachment were quantifiable. 
      CONCLUSIONS: The segmentation algorithm represents a method for the automated 
      analysis of large numbers of volume scans during routine diagnostics and in 
      clinical trials.
FAU - Pilch, Matthaus
AU  - Pilch M
AD  - Department of Ophthalmology, Justus Liebig University Giessen, Giessen, Germany.
FAU - Stieger, Knut
AU  - Stieger K
FAU - Wenner, Yaroslava
AU  - Wenner Y
FAU - Preising, Markus N
AU  - Preising MN
FAU - Friedburg, Christoph
AU  - Friedburg C
FAU - Meyer zu Bexten, Erdmuthe
AU  - Meyer zu Bexten E
FAU - Lorenz, Birgit
AU  - Lorenz B
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20130627
PL  - United States
TA  - Invest Ophthalmol Vis Sci
JT  - Investigative ophthalmology & visual science
JID - 7703701
RN  - 0 (Angiogenesis Inhibitors)
RN  - 0 (Antibodies, Monoclonal, Humanized)
RN  - 0 (VEGFA protein, human)
RN  - 0 (Vascular Endothelial Growth Factor A)
RN  - ZL1R02VT79 (Ranibizumab)
SB  - IM
MH  - Algorithms
MH  - Angiogenesis Inhibitors/therapeutic use
MH  - Antibodies, Monoclonal, Humanized/therapeutic use
MH  - Humans
MH  - Ranibizumab
MH  - Retina/*pathology
MH  - Retinal Detachment/pathology
MH  - Retinoschisis/*pathology
MH  - Tomography, Optical Coherence/*methods
MH  - Vacuoles/*pathology
MH  - Vascular Endothelial Growth Factor A/antagonists & inhibitors
MH  - Wet Macular Degeneration/drug therapy/*pathology
OTO - NOTNLM
OT  - AMD
OT  - analysis software
OT  - bullous cavities
OT  - retina
OT  - retinoschisis
EDAT- 2013/06/06 06:00
MHDA- 2013/09/13 06:00
CRDT- 2013/06/06 06:00
PHST- 2013/06/06 06:00 [entrez]
PHST- 2013/06/06 06:00 [pubmed]
PHST- 2013/09/13 06:00 [medline]
AID - iovs.12-11396 [pii]
AID - 10.1167/iovs.12-11396 [doi]
PST - epublish
SO  - Invest Ophthalmol Vis Sci. 2013 Jun 27;54(6):4385-93. doi: 10.1167/iovs.12-11396.