Apparatus, system, and method for intraocular lens power calculation using a regression formula incorporating corneal spherical aberration

Patent metadata

Field	Value
Publication number	US-2016227996-A1
Application number	US-201615098125-A
Country	US
Kind code	A1
Filing date	Apr 13, 2016
Priority date	Dec 15, 2010
Publication date	Aug 11, 2016
Grant date	—

Abstract

A system for predicting optical power for an intraocular lens based upon measured biometric parameters in a patient's eye includes: a biometric reader capable of measuring at least one biometric parameter and a representation of a corneal topography of the patient's eye; a processor coupled to a computer readable medium having stored thereon a program that upon execution causes the processor to receive the at least one biometric parameter and obtain corneal spherical aberration based upon the representation of the corneal topography, and the processor calculates an optimized optical power to obtain a desired postoperative condition by applying the received value and obtained corneal spherical aberration to a modified regression, wherein the modified regression is of the form:
optical power=Regression+constant0*(corneal spherical aberration) or optical power=constant1*(biometric parameter)+constant0*(corneal spherical aberration). Constant1 and constant0 comprise an empirically derived factor across other eyes. The Regression comprises a classical regression and biometric parameter is related to the values of the at least one measured eye's parameter.

First claim

What is claimed is:

1 . A system for predicting optical power for an intraocular lens based upon measured biometric parameters in a patient's eye, comprising:
a biometric reader capable of measuring at least one biometric parameter and a representation of a corneal topography of the patient's eye; a processor coupled to a computer readable medium having stored thereon a program that upon execution causes the processor to receive the at least one biometric parameter and obtain corneal spherical aberration based upon the representation of the corneal topography, and the processor calculates an optimized optical power to obtain a desired postoperative condition by applying the received value and obtained corneal spherical aberration to a modified regression, wherein the modified regression is of the form:
optical power=Regression+constant0*(corneal spherical aberration) or
optical power=constant1*(biometric parameter)+constant0*(corneal spherical aberration)
wherein constant1 and constant0 comprise an empirically derived factor across other eyes, and wherein the Regression comprises a classical regression and biometric parameter is related to the values of the at least one measured eye's parameter.

2 . The system of claim 1 , further comprising a feedback input to said processor for modifying the modified regression in accordance with the optimized one of the optical power.

3 . The system of claim 1 , wherein the at least one biometric parameter comprises at least one of central corneal thickness (CCT) or related corneal pacyhymetry measuresments, anterior chamber depth (ACD), pupil diameter (PD), white to white distance (WTW), lens thickness (LT), axial length (AXL), retinal layer thickness (RLT), anterior corneal surface shape, posterior corneal surface shape, anterior lens surface shape, and posterior lens surface shape, lens tilt information and lens position information

4 . The system of claim 1 , wherein the at least one biometric parameter comprises at least one of axial length, anterior chamber depth and corneal power.

5 . The system of claim 1 , wherein the desired postoperative condition comprises a postoperative refraction.

6 . The system of claim 1 , wherein the Regression comprises one selected from at least Hoffer Q regression, Haigis regression, Holladay 1 regression, Holladay2 regression, and SRK/T regression.

7 . The system of claim 1 , wherein biometric reader comprises a corneal topographer.

8 . The system of claim 6 , wherein the computer readable medium further comprises a ray tracing software.

9 . The system of claim 1 , wherein the biometric reader comprises at least one of an optical wavefront sensor, a corneal topographer, an optical coherence tomographer, a Scheimpflug Imager, a fluorescence imager, a structured lighting imager, a wavefront tomographer, and an ultrasound imager.

10 . The system of claim 1 , wherein the patient's eye had previously undergone a refractive procedure.

11 . A system for selecting an IOL for implantation based upon measured biometric parameters in a patient's eye, comprising:
a biometric reader capable of measuring at least one biometric parameter and a representation of a corneal topography of a patient's eye; a processor coupled to a computer readable medium having stored thereon a program that upon execution causes the processor to receive the at least one biometric parameter and obtain corneal spherical aberration based upon the representation of the corneal topography, and the processor calculates an optimized IOL based upon desired postoperative condition by applying the received values and the obtained spherical aberration to a modified regression, wherein the modified regression is of the form:
optical power=Regression+constant0*(corneal spherical aberration) or
optical power=constant1*(biometric parameter)+constant0*(corneal spherical aberration)
wherein constant1 and constant0 comprise an empirically derived factor across other eyes, and wherein the Regression comprises a classical regression and biometric parameter is related to the values of the at least one measured eye's parameter.

12 . The system of claim 11 , further comprising a feedback input to said process for modifying the modified regression in accordance with the optimized one of the optical power.

13 . The system of claim 11 , wherein the at least one biometric parameter comprises at least one of central corneal thickness (CCT) or related corneal pacyhymetry measuresments, anterior chamber depth (ACD), pupil diameter (PD), white to white distance (WTW), lens thickness (LT), axial length (AXL), retinal layer thickness (RLT), anterior corneal surface shape, posterior corneal surface shape, anterior lens surface shape, and posterior lens surface shape, lens tilt information and lens position information

14 . The system of claim 11 , wherein the at least one biometric parameter comprises at least one of axial length, anterior chamber depth and corneal power, whenever it is needed.

15 . The system of claim 11 , wherein the desired postoperative condition comprises a postoperative refraction.

16 . The system of claim 11 , wherein the Regression comprises one selected from at least Hoffer Q regression, Haigis regression, Holladay 1 regression, Holladay2 regression, and SRK/T regression.

17 . The system of claim 11 , wherein biometric reader comprises a corneal topographer.

18 . The system of claim 16 , wherein the computer readable medium further comprises a ray tracing software.

19 . The system of claim 11 , wherein the biometric reader comprises at least one of an optical wavefront sensor, a corneal topographer, an optical coherence tomographer, a Scheimpflug Imager, a fluorescence imager, a structured lighting imager, a wavefront tomographer, and an ultrasound imager.

20 . The system of claim 11 , wherein the patient's eye had previously undergone a refractive procedure.

21 . A system for predicting optical power for an intraocular lens based upon measured biometric parameters in a patient's eye, comprising:
a biometric reader capable of measuring at least two biometric parameters, including a first biometric parameter, VA; a processor coupled to a computer readable medium having stored thereon a program that upon execution causes the processor to receive the at least two biometric parameters, and the processor calculates an optimized optical power to obtain a desired postoperative condition by applying the received values to a modified regression, wherein the modified regression is of the form:
optical power=Regression+constant0*( VA ) or
optical power=constant1*(biometric parameter)+constant0*( VA )
wherein constant1 and constant0 comprise an empirically derived factor across other eyes, and wherein the Regression comprises a classical regression and biometric parameter is related to the values of the at least one measured eye's parameter.

22 . The system of claim 21 , further comprising a feedback input to said processor for modifying the modified regression in accordance with the optimized one of the optical power.

23 . The system of claim 11 , wherein the at least one biometric parameter comprises at least one of central corneal thickness (CCT) or related corneal pacyhymetry measuresments, anterior chamber depth (ACD), pupil diameter (PD), white to white distance (WTW), lens thickness (LT), axial length (AXL), retinal layer thickness (RLT), anterior corneal surface s

Assignees

• Amo Wavefront Sciences Llc

Inventors

• Neal Daniel R
• Raymond Thomas D
• Copland Richard J
• Xiong Wei
• Farrer Stephen W
• Pulaski Paul D
• Hamrick Daniel R
• Canovas Vidal Carmen
• Artal Pablo

Classifications

• A61B3/0025 Primary

  characterised by electronic signal processing, e.g. eye models · CPC title

• A61B3/1005

  for measuring distances inside the eye, e.g. thickness of the cornea (A61B3/11 takes precedence) · CPC title

• A61F2/1637

  Correcting aberrations caused by inhomogeneities; correcting intrinsic aberrations, e.g. of the cornea, of the surface of the natural lens, aspheric, cylindrical, toric lenses · CPC title

• A61F2/16

  Intraocular lenses · CPC title

• A61F2240/002

  Designing or making customized prostheses · CPC title