June 2013
Volume 54, Issue 15
Free
ARVO Annual Meeting Abstract  |   June 2013
Evaluation of an Intraoperative Anterior Segment Biometric System
Author Affiliations & Notes
  • Ajay Pillai
    Clinical Research, LENSAR, Inc., Orlando, FL
  • Dustin Morley
    Research & Development, LENSAR, Inc., Orlando, FL
  • Richard Olmstead
    Research & Development, LENSAR, Inc., Orlando, FL
  • Footnotes
    Commercial Relationships Ajay Pillai, LENSAR, Inc. (E); Dustin Morley, Lensar (E); Richard Olmstead, LensAR (E)
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2013, Vol.54, 812. doi:
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      Ajay Pillai, Dustin Morley, Richard Olmstead; Evaluation of an Intraoperative Anterior Segment Biometric System. Invest. Ophthalmol. Vis. Sci. 2013;54(15):812.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose
 

To quantify the correlation between the anterior segment biometry derived from the LENSAR Augmented Reality (AR) imaging system and preoperative ultrasound biometry. To objectively quantify the correlation between cataract severity metrics derived from the LENSAR AR system and ultrasound energy required for cataract removal.

 
Methods
 

Between January 2012 and March 2012, 52 patients underwent Refractive Laser-assisted Cataract Surgery at the Asian Eye Institute (Makati City, Philippines). Each patient’s medical chart was retrospectively reviewed for preoperative LOCS III cataract grade and average keratometry values. Preoperative A-scan ultrasound biometry values for corneal thickness (CT), anterior chamber depth (ACD), lens thickness (LT), and axial length (AL) were recorded. AR images of the anterior segment acquired immediately prior to laser treatment were analyzed for CT, ACD, LT, corneal anterior and posterior radius of curvature (ROC), and lens anterior and posterior ROC. Lens backscatter metrics were extracted as previously described by our research team and used to issue a lens scatter cataract grade (LSCG). Cumulative dissipated energy (CDE) during cataract extraction was recorded from the Alcon Infiniti phacoemulsification platform.

 
Results
 

Average (SD) measurements for AR derived CT, Anterior Cornea ROC, ACD, and LT were 572.04 (46.90) µm, 7.6 (0.3) mm, 3.28 (0.50) mm, and 4.70 (0.41) mm respectively. Average (SD) measurements for ultrasound biometry derived CT, ACD, and LT were 544.88 (40.03) µm, 3.39 (0.44) mm, and 4.45 (0.60) mm. Average (SD) preoperative keratometry was 44.24 (1.70) D. Absolute deviation (SD) of AR derived CT, corneal keratometry, ACD, and LT from preoperative counterparts were 33.0 (25.2) µm, 0.73 (0.62) D, 0.24 (0.41) mm, and 0.29 (0.45) mm. AR measurements for CT (p<0.001), corneal keratometry (p<0.001), ACD (p=0.002), and LT (p<0.001) correlated highly with preoperative ultrasound biometry. LSCG correlated directly with CDE (p<0.05).

 
Conclusions
 

Initial results demonstrate that intraoperative anterior segment biometry shows direct correlation to preoperative ultrasound biometry and to preoperative keratometry. LSCG based on AR image analysis of the cataractous lens shows a direct correlation to the ultrasound energy required for successful phacoemulsification.

  
Keywords: 550 imaging/image analysis: clinical • 445 cataract • 578 laser  
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