CN106420110A - Pediatric intraocular lens degree prediction method - Google Patents
Pediatric intraocular lens degree prediction method Download PDFInfo
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- CN106420110A CN106420110A CN201610720431.4A CN201610720431A CN106420110A CN 106420110 A CN106420110 A CN 106420110A CN 201610720431 A CN201610720431 A CN 201610720431A CN 106420110 A CN106420110 A CN 106420110A
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- eyeball
- intraocular lens
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
- A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
- A61F2/02—Prostheses implantable into the body
- A61F2/14—Eye parts, e.g. lenses, corneal implants; Implanting instruments specially adapted therefor; Artificial eyes
- A61F2/16—Intraocular lenses
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- Ophthalmology & Optometry (AREA)
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- Oral & Maxillofacial Surgery (AREA)
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- Heart & Thoracic Surgery (AREA)
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Abstract
The invention relates to the technical field of the prediction method of an intraocular lens degree, particularly relates to a pediatric intraocular lens degree prediction method. The method comprises the following steps: step 1, measuring the whole eye morphological parameters, step 2, constructing the pre-operation three dimensional model of an eyeball based on the whole eye morphological parameters measured in step 1, step 3, adding an intraocular lens model to the pre-operation three dimensional model of an eyeball acquired in step 2 to acquire the post-operation three dimensional model of the eyeball, step 4, using ray tracing method to calculate the theoretical degree of the added intraocular lens model based on the post-operation three dimensional model. The method can administer the individualized calculation of the parameters of intraocular lens needed to be implanted in a satisfactory manner.
Description
Technical field
The present invention relates to intraocular lens Forecasting Methodology technical field, specifically, it is related to a kind of children manually brilliant
Shape body number of degrees Forecasting Methodology.
Background technology
Pediatric cataract is to lead in global range, particularly the blind main reason of developing country child.In China
The sickness rate of congenital cataract is 0.05%, accounts for second in the blind reason of child.Cataractous generation can be serious
The growth of suppression infant early vision.Row operative treatment is widely recognized cataract infant as early as possible, Intraocular implantation
Art also becomes the main means of post-operative corrective refractive status.It is critical only that of being performed the operation as early as possible can be accurately pre-
Survey the lenticular number of degrees of required implantation, the accuracy that intraocular lenss' diopter calculates depends primarily on eyeball opticses structure ginseng
Number (axiallength, cornea front and rear surfaces curvature and thickness, anterior chamber depth, crystalline lenses front and rear surfaces curvature and thickness) bio-measurement
Accuracy and computing formula select correctness.
Clinically in existing crystalline lenses number of degrees predictor method, need to learn corneal curvature and the axis oculi of children more.Wherein,
Again particularly important with the measurement of axis oculi, the measurement error of 1mm can cause about 2.7D refractive error, the Biological measurement of axis oculi
Traditional A is mainly had to surpass the method such as measurement and IOL-Master measurement.Reliably it is directed in the cornea of children because clinically lacking
Centre curvature bio-measurement technology, is difficult to the artificial intraocular lensess of children are made with correct calculating.
With clinical method it is now：Doctor is surpassed according to A and IOL+master carries out the estimation of corneal curvature and the survey of axis oculi
Amount, but there is following defect in the method：
1st, axis measurement uses A-mode ultrasonic ripple bio-measurement instrument, and method has two methods of directly contact and immersion measurement method.
Contact method is swift to operate, operator need to through screwing up discipline, the axiallength otherwise measuring is short compared with immersion method and produce by mistake
Difference.Immersion method has high demands to probe.
2nd, existing IOL (intraocular lenss) computing formula (empirical regression formula and theoretical formula) is derived from becoming human eye
The calculating analysis of data, these formula unclear are applied to whether there is same credibility during child, particularly with some
Short axis oculi, corneal curvature is postoperative greatly, and post-operative refractive target is non-when facing state.In addition congenital cataract infant eyeball is in
Growth and development stage, axiallength, corneal curvature and eyeball feature all can occur significantly to change.Compared with adult, in vain
During the process of cataract infant measurement axiallength and corneal curvature, cataract infant is more also easy to produce error, when being that the IOL number of degrees select
Another important sources of error.
3rd, existing document report, the postoperative absolute prediction error of 2 years old age infant and the age>2 years old postoperative absolute prediction of infant
Between error, difference has statistical significance, age>Organize postoperative absolute prediction error and substantially increase within 2 years old.Therefore early stage row is first empty-handed
There is meaning in art.Modern clinic needs safe, portable, the contactless and high-precision measuring method of development badly.
It is the primary goal of all cataract surgery patients especially infant and child that dioptric forecast error minimizes.Reach
Postoperative anisometropia can be reduced to accurate postoperative expected refractive status it may happen that amblyopia generation, it is to avoid go again
IOL replaces, final acquisition more preferably vision.So, based on the parameter of children's eyeball, propose to be suitable for first white intraocular lenss' plant
The computational methods entering are significant to clinic.
Content of the invention
Present disclosure is to provide a kind of children's intraocular lens Forecasting Methodology, and it can overcome prior art
Certain or some defects.
According to children's intraocular lens Forecasting Methodology of the present invention, it comprises the following steps：
(1) children's full eye morphological parameters are measured；
(2) build the preoperative threedimensional model of eyeball according to the full eye morphological parameters recording in step (1)；
(3) add intraocular implants' body Model, thus obtaining eyeball in the preoperative threedimensional model of eyeball obtaining in step (2)
Postoperative threedimensional model；
(4) adopt optical path-tracing method, calculate the theory of added intraocular lenss' model according to the postoperative threedimensional model of eyeball
The number of degrees.
Preferably, in step (1), being synchronously focused to anterior chamber of eye and retina using scanning light beam, thus obtaining
Initial eyeball scanogram.
Preferably, in step (1), scanning light beam is divided into two-way using polarization spectro piece, and wherein one road is made to focus on
Focus on retina in anterior chamber of eye, wherein another road.
Preferably, in step (2), based on Snell's law by the method for three-dimensional vector ray tracing to first
Beginning eyeball scanogram is corrected；According to the eyeball scanogram after correcting, determine anterior surface of cornea border successively, after cornea
Surface-boundary, pupil, crystalline body front surface border, surface-boundary, macula retinae center recessed position and retina after crystalline lenses
The border of pigment epithelium layer, after carrying out registration according to pupil position, obtains the preoperative threedimensional model of eyeball using reconstruction software.
Preferably, in step (2), to eyeball, preoperative threedimensional model carries out quantification calculating, thus obtaining cornea simultaneously
Front surface curvature, pos-terior corneal surface curvature, corneal central thickness, back room depth and axiallength.
Based on method of the invention, it is possible to needed for any individual implantation intraocular lens preferably calculated,
So as to preferably be applied to children's cataract operation.
In the present invention, step (1) can pass through the device provided in the Chinese patent of Patent No. 2013101334749
Or method realized.
Brief description
Fig. 1 is the schematic diagram of the postoperative threedimensional model of eyeball in embodiment 1.
Specific embodiment
For further appreciating that present disclosure, the present invention is described in detail in conjunction with the accompanying drawings and embodiments.It should be understood that
, embodiment be only the present invention explained and and non-limiting.
Embodiment 1
Present embodiments provide a kind of children's intraocular lens Forecasting Methodology, it comprises the following steps：
(1) children's full eye morphological parameters are measured；
(2) build the preoperative threedimensional model of eyeball according to the full eye morphological parameters recording in step (1)；
(3) add intraocular implants' body Model, thus obtaining eyeball in the preoperative threedimensional model of eyeball obtaining in step (2)
Postoperative threedimensional model；
(4) adopt optical path-tracing method, calculate the theory of added intraocular lenss' model according to the postoperative threedimensional model of eyeball
The number of degrees.
In step (1), synchronously anterior chamber of eye and retina are focused using scanning light beam, thus obtain initial eyeball sweeping
Tracing picture.
In step (1), scanning light beam is divided into by two-way using polarization spectro piece, and make wherein one tunnel focus on anterior chamber of eye,
Wherein another road focuses on retina.
In step (2), initial eyeball is swept by the method for three-dimensional vector ray tracing based on Snell's law
Tracing is as being corrected；According to the eyeball scanogram after correcting, determine anterior surface of cornea border, posterior surface of cornea side successively
Boundary, pupil, crystalline body front surface border, on surface-boundary, macula retinae center recessed position and retinal pigment after crystalline lenses
The border of cortex, after carrying out registration according to pupil position, obtains the preoperative threedimensional model of eyeball using reconstruction software.
In step (2), to eyeball, preoperative threedimensional model carries out quantification calculating simultaneously, thus obtaining anterior surface of cornea curvature
P1, pos-terior corneal surface curvature P2, corneal central thickness L1, back room depth L3 and axiallength AL.
As shown in figure 1, the postoperative threedimensional model of eyeball is mainly made up of cornea, intraocular implants' body Model and retina etc., relate to
And structural parameters have anterior surface of cornea curvature P1, pos-terior corneal surface curvature P2, corneal central thickness L1, intraocular implants' body Model
Position L2 within the eye, back room depth L3 and axiallength AL.
In the present embodiment, in step (1), adopt the method provided in the Chinese patent of Patent No. 2013101334749
Children's full eye morphological parameters are measured.
Below schematically the present invention and embodiments thereof are described, this description does not have restricted, institute in accompanying drawing
Show is also one of embodiments of the present invention, and actual structure is not limited thereto.So, if the common skill of this area
Art personnel enlightened by it, in the case of without departing from the invention objective, designs and this technical scheme without creative
Similar frame mode and embodiment, all should belong to protection scope of the present invention.
Claims (5)
1. children's intraocular lens Forecasting Methodology, it comprises the following steps：
(1) children's full eye morphological parameters are measured；
(2) build the preoperative threedimensional model of eyeball according to the full eye morphological parameters recording in step (1)；
(3) add intraocular implants' body Model, thus it is postoperative to obtain eyeball in the preoperative threedimensional model of eyeball obtaining in step (2)
Threedimensional model；
(4) adopt optical path-tracing method, calculate the theoretical number of degrees of added intraocular lenss' model according to the postoperative threedimensional model of eyeball.
2. children's intraocular lens Forecasting Methodology according to claim 1 it is characterised in that：In step (1), adopt
Scanning light beam is synchronously focused to anterior chamber of eye and retina, thus obtaining initial eyeball scanogram.
3. children's intraocular lens Forecasting Methodology according to claim 2 it is characterised in that：In step (1), adopt
Scanning light beam is divided into two-way by polarization spectro piece, and makes that wherein one tunnel focuses on anterior chamber of eye, wherein another road focuses on retina.
4. children's intraocular lens Forecasting Methodology according to claim 3 it is characterised in that：In step (2), it is based on
Snell's law is corrected to initial eyeball scanogram by the method for three-dimensional vector ray tracing；According to rectification
Eyeball scanogram afterwards, successively determine anterior surface of cornea border, posterior surface of cornea border, pupil, crystalline body front surface border,
The border of surface-boundary, macula retinae center recessed position and layer of retina,pigment epithelium after crystalline lenses, according to pupil position
After carrying out registration, the preoperative threedimensional model of eyeball is obtained using reconstruction software.
5. children's intraocular lens Forecasting Methodology according to claim 4 it is characterised in that：In step (2), simultaneously
To eyeball, preoperative threedimensional model carries out quantification calculating, thus obtaining anterior surface of cornea curvature (P1), pos-terior corneal surface curvature
(P2), corneal central thickness (L1), back room depth (L3) and axiallength (AL).
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610720431.4A CN106420110A (en) | 2016-08-24 | 2016-08-24 | Pediatric intraocular lens degree prediction method |
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| CN201610720431.4A CN106420110A (en) | 2016-08-24 | 2016-08-24 | Pediatric intraocular lens degree prediction method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111166530A (en) * | 2020-01-03 | 2020-05-19 | 中山大学中山眼科中心 | Method for predicting postoperative position of artificial lens |
| CN111863176A (en) * | 2020-07-29 | 2020-10-30 | 郑州大学第一附属医院 | Accurate selection system of high myopia cataract intraocular lens |
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| CN1553783A (en) * | 2001-09-10 | 2004-12-08 | ʿ | Intraocular lens derivation system |
| CN1951340A (en) * | 2005-10-17 | 2007-04-25 | 南开大学 | Artificial crystal design based on personalized human's eye model |
| CN103251382A (en) * | 2013-04-17 | 2013-08-21 | 温州医学院 | All-eye frequency-domain optical coherence tomography system and method |
| CN103533882A (en) * | 2011-03-09 | 2014-01-22 | 人工晶状体创新公司 | Methods of predicting the post-operative position of an iol and uses of such methods |
| CN104545788A (en) * | 2014-12-26 | 2015-04-29 | 温州医科大学附属第一医院 | Eyeball tumor area real-time positioning system based on motion features of eyeball |
| CN105534618A (en) * | 2015-12-30 | 2016-05-04 | 爱博诺德（北京）医疗科技有限公司 | Manufacturing method for multi-focus artificial lens |
-
2016
- 2016-08-24 CN CN201610720431.4A patent/CN106420110A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1553783A (en) * | 2001-09-10 | 2004-12-08 | ʿ | Intraocular lens derivation system |
| CN1951340A (en) * | 2005-10-17 | 2007-04-25 | 南开大学 | Artificial crystal design based on personalized human's eye model |
| CN103533882A (en) * | 2011-03-09 | 2014-01-22 | 人工晶状体创新公司 | Methods of predicting the post-operative position of an iol and uses of such methods |
| CN103251382A (en) * | 2013-04-17 | 2013-08-21 | 温州医学院 | All-eye frequency-domain optical coherence tomography system and method |
| CN104545788A (en) * | 2014-12-26 | 2015-04-29 | 温州医科大学附属第一医院 | Eyeball tumor area real-time positioning system based on motion features of eyeball |
| CN105534618A (en) * | 2015-12-30 | 2016-05-04 | 爱博诺德（北京）医疗科技有限公司 | Manufacturing method for multi-focus artificial lens |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111166530A (en) * | 2020-01-03 | 2020-05-19 | 中山大学中山眼科中心 | Method for predicting postoperative position of artificial lens |
| CN111863176A (en) * | 2020-07-29 | 2020-10-30 | 郑州大学第一附属医院 | Accurate selection system of high myopia cataract intraocular lens |
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