HRT and GDx
SIVATEJA CHALLA
INTRODUCTION
Normal methods of detecting glaucoma:
1. IOP measurement
2. Optic disc observation
3. Functional assessment : Visual field assessment
4. Structural assessment : Assess the structure of optic nerve and/or RNFL: By
Imaging :
 Confocal scanning laser ophthalmoscopy ( HRT ; Heidelberg Retinal
Tomography ;Heidelberg Engineering, Heidelberg, Germany )
 Scanning Laser polarimetry(GDx ; Carl Zeiss Meditec , Dublin , California , USA
)
 Optical Coherence Tomography ( OCT ; Carl Zeiss Meditec)
 Changes in RNFL and optic nerve head may precede the VFD.
 ONH can be scanned with HRT and OCT
 The nerve fiber layer can be scanned with GDX and OCT
 macula can be scanned with OCT
 In advanced glaucoma:
1- Scanning computerized ophthalmic diagnostic imaging play a least
prominent role.
2– VF testing is more appropriate to assess disease progression.
HRT
LAYOUT
 Introduction
 Principle
 How to read print and Different parameters
 Limitations
INTRODUCTION
 Non quantitative methods like disc photography, measurement of CDR
require subjective physician interpretation and can be difficult and time-
consuming in a busy clinical practice.and also observer dependent
 Have to provide a more objective method to detect changes and
progression
 The culmination of these efforts has resulted in the development of
confocal scanning laser ophthalmoscopy, which provides rapid,
noninvasive, non contact imaging of the disc.
 Provides three-dimensional topographic analysis of optic disk
PRINCIPLE
 Confocal scanning laser ophthalmoscopy
 Uses laser light instead of a bright flash of white
light to illuminate the retina (670 nm diode laser)
 Laser is used as light source & beam focused to
one point of examined object
 Reflected light go same way back through optics &
separated from incident laser beam by beam splitter
&deflected to detector
 This allow to measure reflected light only at one
individual point of object
What the HRT does
 Once the patient is positioned, HRT II automatically performs a pre-scan
through the optic disc to determine the depth of the individual’s optic nerve.
 Next, it determines the number of imaging planes to use (range of scan
depth 1-4mm)
 Each successive scan plane is set to measure 0.0625 mm deeper
 Automatically obtains three scans for analysis.
 Aligns and averages the scans to create the mean topography image
 A series of 32 confocal images, each 256 X 256
pixels, is obtained in a duration of 1.6 seconds.
 Computer converts 32 confocal images to a single
topographic image in approximately 90 seconds
Print out
A. PATIENT DATA
B.TOPOGRAPHY
C.HORIZONTAL
HEIGHT PROFILE
D.VERICAL
HEIGHT PROFILE
E.REFELCTION IMAGE
H.TOP FIVE PARAMETERS
F.MEAN HEIGHT
CONTOUR GRAPH
G.MOORFIELDS
REGRESSION
ANALYSIS
A.Patient data
 Provides information on exam type (baseline or
follow-up), patient demographic information
(patient name , age, gender, ethnicity, etc.), and
basic image information including image focus
position, and whether astigmatic lenses were used
during acquisition.
B.Topography image
 HRT draws a color-coded map.
 give an overview of the disc.
 Red  cup
 Green or Blue  NRR tissue
Bluesloping rim Green nonsloping rim tissue
Also gives disc size
small (sizes less than 1.6 mm2) Average (1.6 mm–2.6 mm2) Large (greater than 2.6 mm2)
C.HORIZONTAL HEIGHT PROFILE
 Height profile along the white horizontal line in the topography image.
 The subjacent reference line (red) indicates the location of the reference
plane (separation between cup and neuroretinal rim).
 The two black lines perpendicular to the
height profile denote the borders
of the disc as defined by the contour line.
D.VERTICAL HEIGHT PROFILE
 Height profile along the white vertical line in the topography image.
 The subjacent reference line (red) indicates the location of the reference
plane (separation between cup and neuroretinal rim).
 The two black lines perpendicular to the height profile denote the borders
of the disc as defined by the contour line.
E.REFELCTION IMAGE
 False-color image that appears similar to a
photograph of the optic disc
 Darker areas are regions of decreased overall
reflectance, whereas lighter areas, such as the base
of the cup, are areas of the greatest reflectance
 Valuable in locating and drawing the contour line
around the disc margin
 In the reflection image the optic nerve head is divided
into 6 sectors.
 Depending on this patient’s age and overall disc size the
eye is then statistically classified as.
F.MEAN CONTOUR HEIGHT GRAPH
 After the contour line is drawn around the border of the optic disc, the
software automatically places a reference plane parallel to the peripapillary
retinal surface located 50 μm below the retinal surface
 The reference plane is used to calculate the thickness and cross-sectional
area of the retinal nerve fiber layer
 The parameters of area and volume of the neuroretinal rim and optic cup
are also calculated based on the location of the reference plane. cup 
area of the image that falls below the reference plane, neuroretinal rim 
above the reference plane
 Green contour line should never go below red reference plane . If it does,
then contour line is likely not in proper position
 The graph depicts, from left to right: the thicknesses of the temporal (T);
temporal-superior (TS); nasal-superior (NS); nasal (N); nasal-inferior (NI);
temporalinferior(TI); and temporal (T) sectors.
 the thickness of the normal retina is irregular, the contour line will appear
as what is known as the ‘double-hump.’ The hills or ‘humps’
correspond to the superior and inferior nerve fiber layer, which are
normally thicker than the rest of the areas.
Reference line
Retinal surface height profile
G.MOORFIELDS REGRESSION ANALYSIS
H.Stereometric analysis
If the SD is greater than 40 µm, the test should be
repeated to improve reproducibility or the results
should be interpreted with caution.
Difference in follow up report
Normal values of the HRT II
stereometric parameters
So…
Patient information
Quality score
C/D Ratio
Cup shape measurement
Rim area
Rim volume
TSNIT graph
Follow-Up Report
 Baseline exam, and length of time in months
between reports compared
 Topography image red indicate worse area
and green indicate improved area
Glaucoma Probability Score (GPS)
 new software included in the HRT 3 generation allows calculation of the
GPS
 MRA is replaced by GPS.
 Shows the probability of damage
 Fast, simple interpretation
 Based on the 3-D shape of the optic disc and RNFL
 Utilizes large, ethnic-selectable databases
 Employs artificial intelligence: Relevance Vector Machine
 No drawing a contour line or relying on a reference plane
 Reduced dependency on operator skill
 unlike the MRA, the GPS utilizes the
whole topographic image of the optic
disc, including the cup size, cup depth,
rim steepness, and horizontal/vertical
RNFL curvature whereas the MRA uses
only a logarithmic relationship between
the neuroretinal rim and optic disc areas.
Limitations
 The contour line (which is a subjective determination of the edge of the
disc) and the reference plane set by the device to delineate cup from
rim, are the two main sources of error in this technology.
 Because these determinations may be incorrect, this makes the HRT II not
a good on-the-spot diagnostic device. However, in sequential analyses,
these sources of error remain constant and the device is good to measure
change over time.
 Moorfields Regression Analysis Can Discriminate Glaucomatous Nerves
From Normals With 84.3% Sensitivity And 96.3% Specificity.
 How Ever These Problems Were Solved In Hrt3 Where Gpa Software Is
Used.
 The HRT Will Occasionally Call A Severely Damaged Optic Nerve Normal
Or A Normal Optic Nerve Abnormal.
 Heidelberg Retina Tomography Tends To Overestimate Rim Area In
Small Optic Nerves And To Underestimate Rim Area In Large Nerves.
So On Either Extreme Of Disc Size Range, Care Should Be Taken When
Analyzing These Scans.
GDx VCC
INTRODUCTION
 GDX evaluates the site of damage before the patients experience any vision
loss
 GDX is:
- Simple to use and easy for both the patient and operator.
- Near infra-red wavelength(780 nm)
- Measurement time is 0.7 seconds.
- Total chair time less than 3 minutes for both eyes.
- Undilated pupils work best.
- Painless procedure.
- Doesn’t require any drops.
- Completely safe.
 The GDx :
- maps the RNFL and compares them to a database of healthy,glaucoma-free patients.
- Analyses the RNFL thickness around the optic disc
 Sensitivity of 89% and a specificity of 98%.
 GDx VCC should be added to the standard clinical examination to
compliment the information from these other methods
PRINCIPLE - scanning laser polarimetry
 Scanning laser polarimetry is an imaging technology that is utilized to measure
peripapillary RNFL thickness
 based on the principle of birefringence
 main birefringent intraocular tissues are the cornea, lens and the retina
 In the retina, the parallel arrangement of the microtubules in retinal ganglion cell
axons causes a change in the polarization of light passing through them.
 The change in the polarization of light is called retardation
 The retardation value is proportionate to the thickness of the RNFL
 Light polarized in one plane travels
more slowly through the birefringent
RNFL than light polarized
perpendicularly to it.
 This difference in speed causes a
phase shift (retardation) between the
perpendicular light beams.
 VCC stands for variable corneal
compensator, which was created to
account for the variable corneal
birefringence in patients
 Uses the birefringence of Henle’s
layer in the macula as a control for
measurement of corneal
birefringence
GDx VCC
GDx print out
A.Patients information
 Patient data and quality score: the patient’s name,
date of birth, gender and ethnicity are reported. An
ideal quality score is from 7 to 10
B.FUNDUS IMAGE
 The fundus image is useful to check for image quality:
 Every image has a Q score representing the overall quality of the scan
 The Q ranges from 1-10, with values 8-10 representing acceptable quality.
 This score is based on a number of factors including :
-Well focused,
- Evenly illuminated,
- Optic disc is well centered,
- Ellipse is properly placed around the ONH.
 The Operator Centers The Ellipse Over The
ONH In This Image
 The Ellipse Size Is Defaulted To A Small
Setting But Manipulating The Calculation
Circle Can Change The Size Of The Ellipse
 The Calculation Circle Is The Area Found
Between The Two Concentric Circles, Which
Measure The Temporal-superiornasal-inferior-
temporal (TSNIT) And Nerve Fiber Indicator
(NFI) Parameters
 By Resizing The Calculation Circle And
Ellipse, The Operator Is Able To Measure
Beyond A Large Peripapillary Atrophy Area
C.RNFL thickness map
 The thickness map shows the RNFL thickness in a color-coded format from blue to
red.
 Hot colors like red and yellow mean high retardation or thicker RNFL
 cool colors like blue and green mean low retardation / thinner RNFL
 A healthy eye has yellow and red colors in the superior and inferior regions
representing thick RNFL regions and blue and green areas nasally and temporally
representing thinner RNFL areas.
 In glaucoma, RNFL loss will result in a more uniform blue appearance
D.Deviation maps
 The deviation map reveals the location and magnitude of RNFL defects
over the entire thickness map
 RNFL thickness of patient is compared to the age-matched normative
database
 Dark blue squares RNFL thickness is below the 5th percentile of the
normative database
 Light blue squares deviation below the 2% level
 Yellow deviation below 1%
 Red deviation below 0.05%.
E.TSNIT map
 TSNIT stands for Temporal-Superior-Nasal-Inferior-Temporal
 TSNIT displays the RNFL thickness values along the calculation circle
 In a normal eye the TSNIT plot follows the typical ‘double hump’ pattern,
with thick RNFL measures superiorly and inferiorly and thin RNFL values
nasally and temporally
 In a healthy eye, the TSNIT curve will fall within the shaded area which
represents the 95% normal range for that age
 When there is RNFL loss, the TSNIT curve will fall below this shaded area,
especially in the superior and inferior regions
 In the center of the printout at the bottom, the TSNIT graphs for both eyes are
displayed together.
 healthy eye there is good symmetry between the TSNIT graphs of the two eyes
and the two curves will overlap
 in glaucoma, one eye often has more advanced RNFL loss and therefore the two
curves will have less overlap
F.Parameters table
 The TSNIT parameters are summary measures
based on RNFL thickness values within the
calculation circle
 Normal parameter values are displayed in green
 abnormal values are color-coded based on their
probability of normality.colours are similar to
deviation maps.
 TSNIT Average: The average RNFL thickness around the entire calculation circle
 Superior Average: The average RNFL thickness in the superior 120° region of the
calculation circle
 Inferior Average: The average RNFL thickness in the inferior 120° region of the
calculation circle
 TSNIT SD
 Inter-eye Symmetry Values range from –1 to 1, Normal eyes have good symmetry with
values around 0.9
The Nerve Fiber Indicator (NFI)
 Global measure based on the entire RNFL thickness map
 Calculated using an advanced form of neural network, called
a Support Vector Machine (SVM)
 Not colour coded
 Output values range from 1 –100
 1-30 -> low likelihood of glaucoma
 31-50 -> glaucoma suspect
 51+ -> high likelihood of glaucoma
Clinical research has shown that the NFI is
the best parameter for discriminating normal
from glaucoma
Serial Analysis
Detecting RNFL Change Over Time
 Serial Analysis can compare up
to four exams
 The Deviation from Reference
Map displays the RNFL
difference, pixel by pixel, of the
followup exam compared to the
baseline exam
LIMITATIONS
 Eyes with macular pathology may show wrong RNFL values due to
improper anterior segment birefringence (ASB) compensation at macula
 ASB may get altered after refractive surgery,so do fresh macular scan to
compensate for changes
 Large disc,large areas of PPA,affect RNFL,so use large scan circle
Early Glaucoma Example moderate Glaucoma Example advanced Glaucoma Example
CONCLUSIONS
 The ability to detect early glaucomatous structural changes has great potential
value in delaying and avoiding progression of the disease
 the most difficult optic discs to interpret in terms of glaucomatous changes–
specifically highly myopic and tilted optic discs – are also those discs which
optic nerve imaging devices have the greatest limitations in discriminating
abnormality from pathology
 should not be regarded as replacing the skilled ophthalmologist’s capacity to
evaluate all aspects of the patient’s diagnosis.
 but they can definitely aid in the complicated decision-making process
THANK YOU
Topographic Change Analysis (TCA)
 Statistically-based progression algorithm that accurately detects structural
change over time by comparing variability between examinations and
providing a statistical indicator of change.
 Aligns subsequent images with the baseline examination, providing a
point-by-point analysis of the optic disc and peripapillary RNFL

HRT and GDx VCC

  • 1.
  • 2.
    INTRODUCTION Normal methods ofdetecting glaucoma: 1. IOP measurement 2. Optic disc observation 3. Functional assessment : Visual field assessment 4. Structural assessment : Assess the structure of optic nerve and/or RNFL: By Imaging :  Confocal scanning laser ophthalmoscopy ( HRT ; Heidelberg Retinal Tomography ;Heidelberg Engineering, Heidelberg, Germany )  Scanning Laser polarimetry(GDx ; Carl Zeiss Meditec , Dublin , California , USA )  Optical Coherence Tomography ( OCT ; Carl Zeiss Meditec)
  • 4.
     Changes inRNFL and optic nerve head may precede the VFD.  ONH can be scanned with HRT and OCT  The nerve fiber layer can be scanned with GDX and OCT  macula can be scanned with OCT  In advanced glaucoma: 1- Scanning computerized ophthalmic diagnostic imaging play a least prominent role. 2– VF testing is more appropriate to assess disease progression.
  • 5.
  • 6.
    LAYOUT  Introduction  Principle How to read print and Different parameters  Limitations
  • 7.
    INTRODUCTION  Non quantitativemethods like disc photography, measurement of CDR require subjective physician interpretation and can be difficult and time- consuming in a busy clinical practice.and also observer dependent  Have to provide a more objective method to detect changes and progression
  • 8.
     The culminationof these efforts has resulted in the development of confocal scanning laser ophthalmoscopy, which provides rapid, noninvasive, non contact imaging of the disc.  Provides three-dimensional topographic analysis of optic disk
  • 9.
    PRINCIPLE  Confocal scanninglaser ophthalmoscopy  Uses laser light instead of a bright flash of white light to illuminate the retina (670 nm diode laser)  Laser is used as light source & beam focused to one point of examined object  Reflected light go same way back through optics & separated from incident laser beam by beam splitter &deflected to detector  This allow to measure reflected light only at one individual point of object
  • 11.
    What the HRTdoes  Once the patient is positioned, HRT II automatically performs a pre-scan through the optic disc to determine the depth of the individual’s optic nerve.  Next, it determines the number of imaging planes to use (range of scan depth 1-4mm)  Each successive scan plane is set to measure 0.0625 mm deeper  Automatically obtains three scans for analysis.  Aligns and averages the scans to create the mean topography image
  • 12.
     A seriesof 32 confocal images, each 256 X 256 pixels, is obtained in a duration of 1.6 seconds.  Computer converts 32 confocal images to a single topographic image in approximately 90 seconds
  • 13.
    Print out A. PATIENTDATA B.TOPOGRAPHY C.HORIZONTAL HEIGHT PROFILE D.VERICAL HEIGHT PROFILE E.REFELCTION IMAGE H.TOP FIVE PARAMETERS F.MEAN HEIGHT CONTOUR GRAPH G.MOORFIELDS REGRESSION ANALYSIS
  • 14.
    A.Patient data  Providesinformation on exam type (baseline or follow-up), patient demographic information (patient name , age, gender, ethnicity, etc.), and basic image information including image focus position, and whether astigmatic lenses were used during acquisition.
  • 15.
    B.Topography image  HRTdraws a color-coded map.  give an overview of the disc.  Red  cup  Green or Blue  NRR tissue Bluesloping rim Green nonsloping rim tissue
  • 16.
    Also gives discsize small (sizes less than 1.6 mm2) Average (1.6 mm–2.6 mm2) Large (greater than 2.6 mm2)
  • 17.
    C.HORIZONTAL HEIGHT PROFILE Height profile along the white horizontal line in the topography image.  The subjacent reference line (red) indicates the location of the reference plane (separation between cup and neuroretinal rim).  The two black lines perpendicular to the height profile denote the borders of the disc as defined by the contour line.
  • 18.
    D.VERTICAL HEIGHT PROFILE Height profile along the white vertical line in the topography image.  The subjacent reference line (red) indicates the location of the reference plane (separation between cup and neuroretinal rim).  The two black lines perpendicular to the height profile denote the borders of the disc as defined by the contour line.
  • 19.
    E.REFELCTION IMAGE  False-colorimage that appears similar to a photograph of the optic disc  Darker areas are regions of decreased overall reflectance, whereas lighter areas, such as the base of the cup, are areas of the greatest reflectance  Valuable in locating and drawing the contour line around the disc margin  In the reflection image the optic nerve head is divided into 6 sectors.  Depending on this patient’s age and overall disc size the eye is then statistically classified as.
  • 20.
    F.MEAN CONTOUR HEIGHTGRAPH  After the contour line is drawn around the border of the optic disc, the software automatically places a reference plane parallel to the peripapillary retinal surface located 50 μm below the retinal surface  The reference plane is used to calculate the thickness and cross-sectional area of the retinal nerve fiber layer  The parameters of area and volume of the neuroretinal rim and optic cup are also calculated based on the location of the reference plane. cup  area of the image that falls below the reference plane, neuroretinal rim  above the reference plane
  • 21.
     Green contourline should never go below red reference plane . If it does, then contour line is likely not in proper position  The graph depicts, from left to right: the thicknesses of the temporal (T); temporal-superior (TS); nasal-superior (NS); nasal (N); nasal-inferior (NI); temporalinferior(TI); and temporal (T) sectors.  the thickness of the normal retina is irregular, the contour line will appear as what is known as the ‘double-hump.’ The hills or ‘humps’ correspond to the superior and inferior nerve fiber layer, which are normally thicker than the rest of the areas. Reference line Retinal surface height profile
  • 22.
  • 23.
    H.Stereometric analysis If theSD is greater than 40 µm, the test should be repeated to improve reproducibility or the results should be interpreted with caution.
  • 25.
  • 26.
    Normal values ofthe HRT II stereometric parameters
  • 27.
  • 28.
    Patient information Quality score C/DRatio Cup shape measurement Rim area Rim volume TSNIT graph
  • 29.
    Follow-Up Report  Baselineexam, and length of time in months between reports compared  Topography image red indicate worse area and green indicate improved area
  • 30.
    Glaucoma Probability Score(GPS)  new software included in the HRT 3 generation allows calculation of the GPS  MRA is replaced by GPS.  Shows the probability of damage  Fast, simple interpretation  Based on the 3-D shape of the optic disc and RNFL  Utilizes large, ethnic-selectable databases  Employs artificial intelligence: Relevance Vector Machine  No drawing a contour line or relying on a reference plane  Reduced dependency on operator skill
  • 31.
     unlike theMRA, the GPS utilizes the whole topographic image of the optic disc, including the cup size, cup depth, rim steepness, and horizontal/vertical RNFL curvature whereas the MRA uses only a logarithmic relationship between the neuroretinal rim and optic disc areas.
  • 33.
    Limitations  The contourline (which is a subjective determination of the edge of the disc) and the reference plane set by the device to delineate cup from rim, are the two main sources of error in this technology.  Because these determinations may be incorrect, this makes the HRT II not a good on-the-spot diagnostic device. However, in sequential analyses, these sources of error remain constant and the device is good to measure change over time.
  • 34.
     Moorfields RegressionAnalysis Can Discriminate Glaucomatous Nerves From Normals With 84.3% Sensitivity And 96.3% Specificity.  How Ever These Problems Were Solved In Hrt3 Where Gpa Software Is Used.  The HRT Will Occasionally Call A Severely Damaged Optic Nerve Normal Or A Normal Optic Nerve Abnormal.  Heidelberg Retina Tomography Tends To Overestimate Rim Area In Small Optic Nerves And To Underestimate Rim Area In Large Nerves. So On Either Extreme Of Disc Size Range, Care Should Be Taken When Analyzing These Scans.
  • 35.
  • 36.
    INTRODUCTION  GDX evaluatesthe site of damage before the patients experience any vision loss  GDX is: - Simple to use and easy for both the patient and operator. - Near infra-red wavelength(780 nm) - Measurement time is 0.7 seconds. - Total chair time less than 3 minutes for both eyes. - Undilated pupils work best. - Painless procedure. - Doesn’t require any drops. - Completely safe.
  • 37.
     The GDx: - maps the RNFL and compares them to a database of healthy,glaucoma-free patients. - Analyses the RNFL thickness around the optic disc  Sensitivity of 89% and a specificity of 98%.  GDx VCC should be added to the standard clinical examination to compliment the information from these other methods
  • 38.
    PRINCIPLE - scanninglaser polarimetry  Scanning laser polarimetry is an imaging technology that is utilized to measure peripapillary RNFL thickness  based on the principle of birefringence  main birefringent intraocular tissues are the cornea, lens and the retina  In the retina, the parallel arrangement of the microtubules in retinal ganglion cell axons causes a change in the polarization of light passing through them.  The change in the polarization of light is called retardation  The retardation value is proportionate to the thickness of the RNFL
  • 39.
     Light polarizedin one plane travels more slowly through the birefringent RNFL than light polarized perpendicularly to it.  This difference in speed causes a phase shift (retardation) between the perpendicular light beams.
  • 40.
     VCC standsfor variable corneal compensator, which was created to account for the variable corneal birefringence in patients  Uses the birefringence of Henle’s layer in the macula as a control for measurement of corneal birefringence
  • 41.
  • 42.
  • 43.
    A.Patients information  Patientdata and quality score: the patient’s name, date of birth, gender and ethnicity are reported. An ideal quality score is from 7 to 10
  • 44.
    B.FUNDUS IMAGE  Thefundus image is useful to check for image quality:  Every image has a Q score representing the overall quality of the scan  The Q ranges from 1-10, with values 8-10 representing acceptable quality.  This score is based on a number of factors including : -Well focused, - Evenly illuminated, - Optic disc is well centered, - Ellipse is properly placed around the ONH.
  • 45.
     The OperatorCenters The Ellipse Over The ONH In This Image  The Ellipse Size Is Defaulted To A Small Setting But Manipulating The Calculation Circle Can Change The Size Of The Ellipse  The Calculation Circle Is The Area Found Between The Two Concentric Circles, Which Measure The Temporal-superiornasal-inferior- temporal (TSNIT) And Nerve Fiber Indicator (NFI) Parameters  By Resizing The Calculation Circle And Ellipse, The Operator Is Able To Measure Beyond A Large Peripapillary Atrophy Area
  • 47.
    C.RNFL thickness map The thickness map shows the RNFL thickness in a color-coded format from blue to red.  Hot colors like red and yellow mean high retardation or thicker RNFL  cool colors like blue and green mean low retardation / thinner RNFL  A healthy eye has yellow and red colors in the superior and inferior regions representing thick RNFL regions and blue and green areas nasally and temporally representing thinner RNFL areas.  In glaucoma, RNFL loss will result in a more uniform blue appearance
  • 49.
    D.Deviation maps  Thedeviation map reveals the location and magnitude of RNFL defects over the entire thickness map  RNFL thickness of patient is compared to the age-matched normative database  Dark blue squares RNFL thickness is below the 5th percentile of the normative database  Light blue squares deviation below the 2% level  Yellow deviation below 1%  Red deviation below 0.05%.
  • 51.
    E.TSNIT map  TSNITstands for Temporal-Superior-Nasal-Inferior-Temporal  TSNIT displays the RNFL thickness values along the calculation circle  In a normal eye the TSNIT plot follows the typical ‘double hump’ pattern, with thick RNFL measures superiorly and inferiorly and thin RNFL values nasally and temporally  In a healthy eye, the TSNIT curve will fall within the shaded area which represents the 95% normal range for that age  When there is RNFL loss, the TSNIT curve will fall below this shaded area, especially in the superior and inferior regions
  • 52.
     In thecenter of the printout at the bottom, the TSNIT graphs for both eyes are displayed together.  healthy eye there is good symmetry between the TSNIT graphs of the two eyes and the two curves will overlap  in glaucoma, one eye often has more advanced RNFL loss and therefore the two curves will have less overlap
  • 53.
    F.Parameters table  TheTSNIT parameters are summary measures based on RNFL thickness values within the calculation circle  Normal parameter values are displayed in green  abnormal values are color-coded based on their probability of normality.colours are similar to deviation maps.
  • 54.
     TSNIT Average:The average RNFL thickness around the entire calculation circle  Superior Average: The average RNFL thickness in the superior 120° region of the calculation circle  Inferior Average: The average RNFL thickness in the inferior 120° region of the calculation circle  TSNIT SD  Inter-eye Symmetry Values range from –1 to 1, Normal eyes have good symmetry with values around 0.9
  • 55.
    The Nerve FiberIndicator (NFI)  Global measure based on the entire RNFL thickness map  Calculated using an advanced form of neural network, called a Support Vector Machine (SVM)  Not colour coded  Output values range from 1 –100  1-30 -> low likelihood of glaucoma  31-50 -> glaucoma suspect  51+ -> high likelihood of glaucoma Clinical research has shown that the NFI is the best parameter for discriminating normal from glaucoma
  • 56.
    Serial Analysis Detecting RNFLChange Over Time  Serial Analysis can compare up to four exams  The Deviation from Reference Map displays the RNFL difference, pixel by pixel, of the followup exam compared to the baseline exam
  • 57.
    LIMITATIONS  Eyes withmacular pathology may show wrong RNFL values due to improper anterior segment birefringence (ASB) compensation at macula  ASB may get altered after refractive surgery,so do fresh macular scan to compensate for changes  Large disc,large areas of PPA,affect RNFL,so use large scan circle
  • 58.
    Early Glaucoma Examplemoderate Glaucoma Example advanced Glaucoma Example
  • 60.
    CONCLUSIONS  The abilityto detect early glaucomatous structural changes has great potential value in delaying and avoiding progression of the disease  the most difficult optic discs to interpret in terms of glaucomatous changes– specifically highly myopic and tilted optic discs – are also those discs which optic nerve imaging devices have the greatest limitations in discriminating abnormality from pathology  should not be regarded as replacing the skilled ophthalmologist’s capacity to evaluate all aspects of the patient’s diagnosis.  but they can definitely aid in the complicated decision-making process
  • 61.
  • 62.
    Topographic Change Analysis(TCA)  Statistically-based progression algorithm that accurately detects structural change over time by comparing variability between examinations and providing a statistical indicator of change.  Aligns subsequent images with the baseline examination, providing a point-by-point analysis of the optic disc and peripapillary RNFL

Editor's Notes

  • #10 This laser, which is not powerful enough to harm the eye, is first focused on the surface of the optic nerve and captures that image. Then it is focused on the layer just below the surface and captures that image. The HRT continues to take images of deeper and deeper layers until the desired depth has been reached. Finally, the instrument takes all these pictures of the layers and puts them together to form a 3-dimentional image of the entire optic nerve.
  • #23 Any ONH that is determined to be “outside normal limits” is not necessarily glaucomatous but is statistically outside the normal ranges for the group of eyes in the normative database. The decision as to whether “outside normal limits” represents “glaucoma” is a clinical judgment made by considering all clinical information together. MRA makes use of the relationship between log neuroretinal rim area and optic disc area to define the normal ranges. Figure 3.2 illustrates the linear regression line between log neuroretinal rim area and optic disc area (marked “50%”). This is the “average” or “predicted” relationship between log neuroretinal rim area and optic disc area. The lower three lines represent the lower 95.0%, 99.0%, and 99.9% prediction intervals for the same relationship. Thus, for the 95.0% prediction interval, 95.0% of normal eyes would be expected to have a neuroretinal rim area above that interval line. The same reasoning applies to the 99.0% and 99.9% prediction intervals. These intervals are calculated for the ONH as a whole and for each of the six predefined sectors. The prediction intervals for neuroretinal rim areashould be regarded in the same way as theprobability smbols for abnormality in the reportsfrom automated perimeters. The closer the top ofthe green bar gets to the lower prediction intervals,the greater the probability that the rim area isabnormal.The MRA Report given in the HRTIIsoftwareenables a visual inspection of where the neuroretinal rim area lies in relation to thenormal ranges .