Magdalena Asejczk-Widlicka,1,*
Agnieszka Jóźwik,1
Henryk Kasprzak,1
Marcelina Sobczak,1
and Barbara Krystyna Pierscionek2
1Department of Optics and Photonics, Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland
2School of Science and Technology, Nottingham Trent University, Clifton Campus, Nottingham NG11 8NS, UK
Magdalena Asejczk-Widlicka, Agnieszka Jóźwik, Henryk Kasprzak, Marcelina Sobczak, and Barbara Krystyna Pierscionek, "Data analysis of the ocular response analyzer for improved distinction and detection of glaucoma," J. Opt. Soc. Am. A 36, B71-B76 (2019)
The purpose of this study was to evaluate the clinical utility of the output parameters of the ocular response analyzer (ORA) and those calculated from the raw ORA in subjects with healthy eyes and those with suspected glaucoma, and in patients with two types of glaucoma. The raw ORA data were analyzed using a custom software that included the Gaussian filtering of applanation curves for three different window sizes. To the best of our knowledge, these findings present a novel means of optimizing the use of measurements from the ORA, which can refine the characteristics of corneal biomechanics, enabling a distinction between the types of glaucoma and leading to an improvement in diagnosing and early detection.
Alfonso Jiménez-villar, Ewa Mączyńska, Artur Cichański, Maciej Wojtkowski, Bartłomiej J. Kałużny, and Ireneusz Grulkowski Biomed. Opt. Express 10(7) 3663-3680 (2019)
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Number of Subjects, Mean () Age, GAT IOP, IOPg, IOPcc, CH, CRF, and CCT and the Result of the Kruskal -Value (ANOVA) Statistical Difference for Each Parameter between Groups for the Five Considered Groupsa
Variables
CG
GODA
POAG
PACG
-Value
Number of subjects (male/female)
62 (19/43)
43 (11/32)
197 (68/129)
25 (9/16)
0.008
Age () (range)
(41/87)
(41/86)
(40/86)
(41/75)
0.247
GAT IOP () (range)
(8/20)
(10/20)
(9/31)
(10/21)
0.193
IOPg () (range)
(8.5/25.1)
(6.9/26.9)
(7.5/42.4)
(8.2/44.3)
0.169
IOPcc () (range)
(8.8/27.1)
(8.3/30.7)
(4.5/43.1)
(9.1/51.2)
CH () (range)
(4.3/14.5)
(1.9/16.2)
(2.2/21)
(0.8/16.8)
CRF () (range)
(4.2/16.1)
(4.1/16.8)
(3.8/22.3)
(6.1/16.9)
CCT () (range)
(478/670)
(450/595)
(424/648)
(509/621)
0.643
Statistically significant results () are shown in bold font.
Table 2.
Results of the Kruskal–Wallis Test (-Values) for Multiple Comparison of Medians of Five Considered Groups and for the Output Parameters of the ORA and Those Calculated from the Raw ORA Data (IOPg1, IOPcc, CH1, and CRF1) for All WS Values and for Smoothing Windows 11a
IOPg
IOPg1
GODA
POAG
PACG
GODA
POAG
PACG
CG
1.000
0.378
0.611
0.859
0.020
0.048
GODA
1.000
1.000
1.000
0.946
POAG
1.000
1.000
IOPcc
IOPcc1
GODA
POAG
PACG
GODA
POAG
PACG
CG
0.076
1.000
1.000
0.250
1.000
1.000
GODA
0.029
0.001
0.022
POAG
1.000
1.000
CH
CH1
GODA
POAG
PACG
GODA
POAG
PACG
CG
1.000
1.000
1.000
0.683
GODA
0.005
0.011
POAG
1.000
1.000
CRF
CRF1
GODA
POAG
PACG
GODA
POAG
PACG
CG
0.081
0.276
0.003
0.016
GODA
0.015
0.512
0.005
0.624
POAG
1.000
1.000
Statistically significant results () are shown in bold font.
Table 3.
Number of Cases of Significant Differences (Kruskal–Wallis Test for Multiple Comparison, ) between Pairs of Four Considered Groups of Patientsa
Number of Significant Differences () between Pairs of Considered Groups for ORA Output Parameters
All Values of WS
IOPg
IOPcc
CH
CRF
IOPg
IOPcc
CH
CRF
IOPg
IOPcc
CH
CRF
0
2
3
2
0
3
3
2
0
2
3
0
Number of Significant Differences () between Pairs of Considered Groups for Parameters Calculated from Raw Data
All Values of WS
IOPg1
IOPcc1
CH1
CRF1
IOPg1
IOPcc1
CH1
CRF1
IOPg1
IOPcc1
CH1
CRF1
Smoothing windows
11
2
2
3
4
0
2
3
3
0
2
3
1
21
0
2
3
2
0
2
3
2
0
2
3
1
31
0
0
2
3
0
0
2
3
0
0
2
0
The results are shown for each ORA output parameter and those calculated from raw data. The analysis included three values of smoothing parameters (11, 21, and 31 points) and different values of WS parameters.
Tables (3)
Table 1.
Number of Subjects, Mean () Age, GAT IOP, IOPg, IOPcc, CH, CRF, and CCT and the Result of the Kruskal -Value (ANOVA) Statistical Difference for Each Parameter between Groups for the Five Considered Groupsa
Variables
CG
GODA
POAG
PACG
-Value
Number of subjects (male/female)
62 (19/43)
43 (11/32)
197 (68/129)
25 (9/16)
0.008
Age () (range)
(41/87)
(41/86)
(40/86)
(41/75)
0.247
GAT IOP () (range)
(8/20)
(10/20)
(9/31)
(10/21)
0.193
IOPg () (range)
(8.5/25.1)
(6.9/26.9)
(7.5/42.4)
(8.2/44.3)
0.169
IOPcc () (range)
(8.8/27.1)
(8.3/30.7)
(4.5/43.1)
(9.1/51.2)
CH () (range)
(4.3/14.5)
(1.9/16.2)
(2.2/21)
(0.8/16.8)
CRF () (range)
(4.2/16.1)
(4.1/16.8)
(3.8/22.3)
(6.1/16.9)
CCT () (range)
(478/670)
(450/595)
(424/648)
(509/621)
0.643
Statistically significant results () are shown in bold font.
Table 2.
Results of the Kruskal–Wallis Test (-Values) for Multiple Comparison of Medians of Five Considered Groups and for the Output Parameters of the ORA and Those Calculated from the Raw ORA Data (IOPg1, IOPcc, CH1, and CRF1) for All WS Values and for Smoothing Windows 11a
IOPg
IOPg1
GODA
POAG
PACG
GODA
POAG
PACG
CG
1.000
0.378
0.611
0.859
0.020
0.048
GODA
1.000
1.000
1.000
0.946
POAG
1.000
1.000
IOPcc
IOPcc1
GODA
POAG
PACG
GODA
POAG
PACG
CG
0.076
1.000
1.000
0.250
1.000
1.000
GODA
0.029
0.001
0.022
POAG
1.000
1.000
CH
CH1
GODA
POAG
PACG
GODA
POAG
PACG
CG
1.000
1.000
1.000
0.683
GODA
0.005
0.011
POAG
1.000
1.000
CRF
CRF1
GODA
POAG
PACG
GODA
POAG
PACG
CG
0.081
0.276
0.003
0.016
GODA
0.015
0.512
0.005
0.624
POAG
1.000
1.000
Statistically significant results () are shown in bold font.
Table 3.
Number of Cases of Significant Differences (Kruskal–Wallis Test for Multiple Comparison, ) between Pairs of Four Considered Groups of Patientsa
Number of Significant Differences () between Pairs of Considered Groups for ORA Output Parameters
All Values of WS
IOPg
IOPcc
CH
CRF
IOPg
IOPcc
CH
CRF
IOPg
IOPcc
CH
CRF
0
2
3
2
0
3
3
2
0
2
3
0
Number of Significant Differences () between Pairs of Considered Groups for Parameters Calculated from Raw Data
All Values of WS
IOPg1
IOPcc1
CH1
CRF1
IOPg1
IOPcc1
CH1
CRF1
IOPg1
IOPcc1
CH1
CRF1
Smoothing windows
11
2
2
3
4
0
2
3
3
0
2
3
1
21
0
2
3
2
0
2
3
2
0
2
3
1
31
0
0
2
3
0
0
2
3
0
0
2
0
The results are shown for each ORA output parameter and those calculated from raw data. The analysis included three values of smoothing parameters (11, 21, and 31 points) and different values of WS parameters.