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Analysis of Intra-observer's Repeatability in Retinopathy's Classification of patients with, both, Clear and Yellow IOL's implantation INTRODUCTION METHODS RESULTS REFERENCES . M.J. Perez Carrasco 1A , C. Sánchez-Ramos 1B , M. Vinas-Pena 1B , C. Bonnin-Arias 1B , A. Forlan 1B , M. San Miguel 1B , G. Ramírez 1B A Optica II, B Neurocomputing and Neurorobotics, 1 Universidad Complutense de Madrid, Madrid, Spain [email protected] CONCLUSIONS •Bird A.C., Bressler N.M. and Bressler S.B. et al., An international classification and grading system for age-related maculopathy and age-related macular degeneration. The International ARM Epidemiological Study Group, Surv Ophthalmol 39 (1995), pp. 367–374. •Cohen, J. A coefficient of agreement for nominal scales. Edu. And Psyc. Measur., 1960, 20: 37-46. •Hogg R.E., Chakravarthy U. Visual function and dysfuntion in early and late age-related maculopathy.. Progress in Retinal and Eye Research 2006. 249-276. •Klein R., Klein B.E. and Klein A. et al., The Wisconsin Age-Related Maculopathy Grading System, 1996-Final Report. US Department of Commerce (1997) Springfield, Virginia. •Latour, J. et al. Las mediciones clínicas en cardiología: validez y errores de medición. Rev Esp Cardiol 1997; 50: 117-128. •Seddon J.M., Sharma S. and Adelman R.A., Evaluation of the clinical CARM’s classification is a good tool to differenciate between different degrees of minor and medium rethinopathies, although it is not a very acurate tool to check, in longitudinal researchs, minimal progresses of the pathology. Kappa’s indexes obtained for the intra-observer analysis show a good reliability, between Good and Excellent. A higher discrepancy in the first retinas, which were classified, was observed. This means that a previous training is necessary. It must be enhanced the worst behaviour of the Pigmentation parameter with regard to Drusen parameter, thus the global reabillity falls. Future research will design new classification criteria that allows a more reliable categorizing of early ARM. 55 retinographies were classified by using CARMS system, which categorizes the images depending on the Drusen’s presence or absence, retinal pigment epithelium irregularities, geographic atrophy, pigment epithelium detachment and choroidal neovascularisation. Lost of vision due to the Age-Related Maculopathy (ARM) is an irreversible process, thus needs an early diagnosis of the pathology. Up to now, a deep research has been made in ARM treatment area, although not in initial stages diagnosis area. To detect advanced ARM condition is more or less easy, however it is difficult to detect an early ARM condition. This became worse due to the lack of a standard initial stages ARM classification, ratified by the scientific community. The purpose is to discriminate between different moderate retinopathies according to the Clinical Age- Related Maculopathy Staging System (CARMS) by using several retinographies to analyze the CARMS reliability in intra-observer´s diagnosis. Intra-observer’s reliability analysis was the following: CARMS’ concordance obtained was 87.27% for observer A and 95.45% for the Observer B. The expected concordance was 57.36% and 57.44% for A and B respectively. Kappa index was 0.7016 and 0.8932 for A and B respectively. The reliability measured by Kappa index followed the rule: 0.80-1.00 (Excellent), 0.60- 0.80 (Good) y 0.40-0.60 (Moderate), 0.20-0.40 (Low), <0.20 (Bad). Drusen’s concordance obtained for observer A was 87.27% and 98.18% for observer B. The expected values were 59.50% and 61.16% for A and B respectively. Kappa index was 0.6857 and 0.9532 for A and B respectively. Pigmentation’s concordance obtained was 87.27% y 92.73%, for A and B observers. The expected concordance was 55.21% and 53.72% for A and B and Kappa indexes were 0.7159 and 0.8429, for both. The method followed consisted in 2 different sequences with every of the 3 evaluated systems, made by 2 experts in a blind, independent way. The goal of the doubled- classification-method, with changing order no randomised, was to reject the influence of the evaluation of the previous image in the following one (Velo’s effect). CARMS CARMS 1 1 No drusen / <10 small drusen without pigmentation changes 2a 2a Drusen 2b 2b Hiper - Hipopigmentation 2c 2c Drusen and Hiper - Hipopigmentation 3a 3a Retina detachment without drusen 3b 3b Retina detachment with drusen 4 4 Geographic atrophy in central macula or geographic atrophy less than 350Mm 5 5 AMD exudative/ Hemorragical or Serosum retina detachment / CNVM with subretinal or sub RPE hemorrhages or fibrosis, or scars consistent with treatment of AMD < 10 central Drusen 1 > 10 periferal Drusen 2a Inter-observer’s repeatability was checked, because of Kappa index was calculated, as an agreement parameter between both Experts KAPPA KAPPA CONCORDANCE CONCORDANCE <0.20 Bad Bad 0.20 - 0.40 Low Low 0.40 - 0.60 Moderate Moderate 0.60 - 0.80 Good Good 0.80 - 1.00 Excelent Excelent Cohen, J. A coefficient of agreement for nominal scales. Edu. And Psyc. Measur., 1960, 20: 37-46. ARVO 2009

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Page 1: Analysis of Intra-observer's Repeatability in Retinopathy's Classification of patients with, both, Clear and Yellow IOL's implantation INTRODUCTION METHODS

Analysis of Intra-observer's Repeatability in Retinopathy's Classification of patients with, both, Clear and Yellow IOL's implantation

INTRODUCTION

METHODS

RESULTS

REFERENCES

.

M.J. Perez Carrasco1A, C. Sánchez-Ramos1B, M. Vinas-Pena1B, C. Bonnin-Arias1B, A. Forlan1B, M. San Miguel1B, G. Ramírez1B

AOptica II, BNeurocomputing and Neurorobotics, 1Universidad Complutense de Madrid, Madrid, [email protected]

CONCLUSIONS

• Bird A.C., Bressler N.M. and Bressler S.B. et al., An international classification and grading system for age-related maculopathy and age-related macular degeneration. The International ARM Epidemiological Study Group, Surv Ophthalmol 39 (1995), pp. 367–374.

• Cohen, J. A coefficient of agreement for nominal scales. Edu. And Psyc. Measur., 1960, 20: 37-46.

• Hogg R.E., Chakravarthy U. Visual function and dysfuntion in early and late age-related maculopathy.. Progress in Retinal and Eye Research 2006. 249-276.

• Klein R., Klein B.E. and Klein A. et al., The Wisconsin Age-Related Maculopathy Grading System, 1996-Final Report. US Department of Commerce (1997) Springfield, Virginia.

• Latour, J. et al. Las mediciones clínicas en cardiología: validez y errores de medición. Rev Esp Cardiol 1997; 50: 117-128.

• Seddon J.M., Sharma S. and Adelman R.A., Evaluation of the clinical age-related maculopathy staging system (CARMS), Ophthalmology 113 (2006), pp. 260–266.

CARM’s classification is a good tool to differenciate between different degrees of minor and medium rethinopathies, although it is not a very acurate tool to check, in longitudinal researchs, minimal progresses of the pathology.

Kappa’s indexes obtained for the intra-observer analysis show a good reliability, between Good and Excellent. A higher discrepancy in the first retinas, which were classified, was observed. This means that a previous training is necessary. It must be enhanced the worst behaviour of the Pigmentation parameter with regard to Drusen parameter, thus the global reabillity falls.Future research will design new classification criteria that allows a more reliable categorizing of early ARM.

55 retinographies were classified by using CARMS system, which categorizes the images depending on the Drusen’s presence or absence, retinal pigment epithelium irregularities, geographic atrophy, pigment epithelium detachment and choroidal neovascularisation.

Lost of vision due to the Age-Related Maculopathy (ARM) is an irreversible process, thus needs an early diagnosis of the pathology.

Up to now, a deep research has been made in ARM treatment area, although not in initial stages diagnosis area. To detect advanced ARM condition is more or less easy, however it is difficult to detect an early ARM condition. This became worse due to the lack of a standard initial stages ARM classification, ratified by the scientific community.

The purpose is to discriminate between different moderate retinopathies according to the Clinical Age-Related Maculopathy Staging System (CARMS) by using several retinographies to analyze the CARMS reliability in intra-observer´s diagnosis.

Intra-observer’s reliability analysis was the following: CARMS’ concordance obtained was 87.27% for observer A and 95.45% for the Observer B. The expected concordance was 57.36% and 57.44% for A and B respectively. Kappa index was 0.7016 and 0.8932 for A and B respectively.

The reliability measured by Kappa index followed the rule: 0.80-1.00 (Excellent), 0.60-0.80 (Good) y 0.40-0.60 (Moderate), 0.20-0.40 (Low), <0.20 (Bad).

Drusen’s concordance obtained for observer A was 87.27% and 98.18% for observer B. The expected values were 59.50% and 61.16% for A and B respectively. Kappa index was 0.6857 and 0.9532 for A and B respectively.

Pigmentation’s concordance obtained was 87.27% y 92.73%, for A and B observers. The expected concordance was 55.21% and 53.72% for A and B and Kappa indexes were 0.7159 and 0.8429, for both.

The method followed consisted in 2 different sequences with every of the 3 evaluated systems, made by 2 experts in a blind, independent way. The goal of the doubled-classification-method, with changing order no randomised, was to reject the influence of the evaluation of the previous image in the following one (Velo’s effect).

CARMSCARMS

11 No drusen / <10 small drusen without pigmentation changes

2a2a Drusen

2b2b Hiper - Hipopigmentation

2c2c Drusen and Hiper - Hipopigmentation

3a3a Retina detachment without drusen

3b3b Retina detachment with drusen

44 Geographic atrophy in central maculaor geographic atrophy less than 350Mm

55 AMD exudative/ Hemorragical or Serosum retina detachment / CNVM with subretinal or sub RPE hemorrhages or fibrosis, or scars consistent with treatment of AMD

< 10 central Drusen

1

> 10 periferal Drusen

2a

Inter-observer’s repeatability was checked, because of Kappa index was calculated, as an agreement parameter between both Experts

KAPPAKAPPA CONCORDANCECONCORDANCE

<0.20 BadBad

0.20 - 0.40 LowLow

0.40 - 0.60 ModerateModerate

0.60 - 0.80 GoodGood

0.80 - 1.00 ExcelentExcelent

Cohen, J. A coefficient of agreement for nominal scales. Edu. And Psyc. Measur., 1960, 20: 37-46.

ARVO 2009