The Effect of Education on the Assessment of Optic Nerve Head Photographs for the Glaucoma Diagnosis
© Andersson et al; licensee BioMed Central Ltd. 2011
Received: 30 September 2010
Accepted: 19 May 2011
Published: 19 May 2011
To evaluate the effect of one lesson of continuing medical education (CME) of subjective assessment of optic nerve head appearance on sensitivity and specificity for the diagnosis of glaucoma.
Ophthalmologists and residents in ophthalmology attending an international glaucoma meeting arranged at Malmö University Hospital, Malmö, Sweden, were asked to grade optic nerve head (ONH) photographs of healthy and glaucomatous subjects at two sessions separated by a lecture on glaucoma diagnosis by ONH assessment. Each grader had access to an individual portfolio of 50 ONH photographs randomly selected from a web-based data bank including ONH photographs of 73 glaucoma patients and 123 healthy subjects. The individual portfolio of photographs was graded before and after the lecture, but in different randomized order.
Ninety-six doctors, 91% of all attending the meeting, completed both assessment sessions. The number of correct classifications increased from 69 to 72% on the average. Diagnostic sensitivity increased significantly (p < 0.0001) from 70% to 80%, and the number of photographs classified as uncertain decreased significantly (p < 0.0001) from 22% to 13%. Specificity remained at 68%, and intra-grader agreement decreased.
CME had only a small effect on the assessment of ONH for the glaucoma diagnosis. Sensitivity increased and the amount of uncertain classifications decreased, while specificity was unchanged.
In clinical practice assessment of glaucomatous changes of the optic nerve head (ONH) may be the first step to detect glaucoma. Inspection of the posterior pole by e.g. ophthalmoscopy is a routine examination in most eye clinics. A suspect ONH appearance often directly leads to further examinations including perimetry and tonometry, or to referral of the patient. ONH assessment is sometimes a difficult task, particularly at early stages of glaucoma, requiring careful observation and knowledge about variability of optic disc appearance among healthy subjects and the characteristics of glaucomatous damage. Large and pale excavations at advanced stages of glaucoma have been recognized since the ophthalmoscope was introduced in the 1850's. Cup to disc ratios  was an attempt to quantify the excavation of ONH, and a number of signs typical for glaucoma have been described, e.g., saucerization of the disc , thinning of the neural rim , focal notching . Disc hemorrhages, first described by Bjerrum in 1889  are now considered a relatively hard sign of glaucoma. The ISNT rule suggested by Jonas and co-workers 1988  compares the width of the neural rim in the interior, superior, nasal and temporal parts of the ONH. The size of the ONH is important for detection of glaucoma [7, 8]. Glaucomatous eyes having small ONHs are more likely to be classified as normal than glaucomatous eyes with normal or large ONHs. On the contrary, healthy eyes with large OHNs are more likely to be classified as glaucomatous than healthy eyes with normal or small ONHs [9, 10].
During the last two decades new computerized image techniques measuring and analyzing ONHs were developed. However, these image techniques are typically applied on patients already having a diagnosis of glaucoma or suspect glaucoma, and are not standard examinations in patients visiting eye departments/clinics for reasons other than suspect glaucoma or glaucoma. Therefore, subjective evaluation of the ONH, by e.g. ophthalmoscopy, is still important and often remains the first step when diagnosing previously undetected glaucoma.
A number of earlier studies have reported diagnostic accuracy of subjective assessment of the ONH [11–17], but to our knowledge no studies have reported on the effect of continuing medical education (CME) on diagnostic accuracy of subjective optic disc assessment of residents in ophthalmology or of ophthalmologists.
The aim of our study was to evaluate the effect of one hour of CME of ophthalmologists on the subjective grading of ONH photographs from glaucoma patients and healthy individuals.
In conjunction with an international glaucoma meeting at Malmö University Hospital, Malmö, Sweden in March 2008, attending doctors were asked to grade ONH photographs using a web-based protocol at two different sessions. The two sessions were separated b y a lecture in glaucoma diagnosis by ONH assessment. Participation was voluntary and the first assessment was made before the start of the meeting, while the second assessment was performed after the lecture. No time limits for the assessments were given. The participants were each asked to classify 56 ONH photographs into one of three different categories: glaucomatous, normal or uncertain. Fifty photographs were unique and 6 duplicates. They were also asked to report whether they considered themselves to be a glaucoma expert, general ophthalmologist with special interest in glaucoma, general ophthalmologist, or ophthalmologist with another subspecialty. The participants were also asked to report their experience in glaucoma by choosing one of the following alternatives; lack of experience, less experienced, experienced or very experienced, and to report the average number of glaucoma patients seen per month.
The research project followed the tenets of the Declaration of Helsinki and was approved by the regional ethical review board in Lund, Sweden, vetting the ethics of research involving humans.
Photographs - glaucoma patients and healthy subjects
ONH photographs from glaucoma patients and healthy subjects were retrieved from an existing database. The database has been described previously [18, 19]. All glaucoma subjects were patients at the Department of Ophthalmology, Malmö University Hospital. All had a diagnosis of glaucoma with reproducible visual field defects and the Glaucoma Hemifield Test outside normal limits on standard automated perimetry using the 30-2 Full Threshold program of the Humphrey Field Analyzer (Carl Zeiss Meditec, Dublin, Calif, USA). To be included we required that the interval between the visual field test and photograph should be less than 12 months, and that the image quality was good enough to enable a fair evaluation. Photographs with obvious artifacts, e.g., the shutter half way down or prominent reflections, were excluded. One eye per patient, the one with the best perimetric Mean Deviation (MD) value, was selected. A total of 73 photographs from 73 glaucoma patients were included. Mean age for these patients was 70 years, ranging from 50 to 87 and the mean MD was -7.39 dB, ranging from -19.56 to +1.01 dB.
The healthy subjects were randomly selected individuals living in the city of Malmö, Sweden . At the time for the data collection all supposedly healthy subjects underwent a thorough ophthalmic examination including determination of refraction and visual acuity, Goldmann applanation tonometry, slitlamp examination and recording of ophthalmic and general medical history. Inclusion criteria were corrected visual acuity ≥ 0.8, intraocular pressure <22 mmHg. Exclusion criteria were history of serious eye trauma or surgery, previous or current serious eye disease or any neurological disease. Again we excluded ONH photographs with poor quality or with obvious artifacts. To match the age of the glaucoma patients all subjects younger than 50 years of age at the time for the data collection were excluded. One eye per subject was randomly chosen and a total of 128 normal eyes were included. The mean age of the healthy subjects was 66 years, ranging from 51 to 79.
All photographs were obtained using the same fundus camera, a Carl Zeiss (Model 60 306, Oberkochen, West Germany) with standard settings (aperture 5.5, flash strength 120-240 Ws), using Kodachrome 64 slide film. The photographs were digitized using Nikon Super Coolscan 4000 ED diapositive scanner with the highest resolution of 4000 Dots Per Inch (dpi). The size was thereafter changed to 1400 × 1024 pixels with a resolution of 72 dpi to create a database that can be accessed through a web interface. This web-based database included the 201 ONH photographs. When logging in to the database a random subset of 50 photographs was automatically selected, and a unique mix of photographs was created for each grader. To be able to test intra-grader agreement, 6 ONH photographs randomly selected in each subset of 50 photographs were duplicated, thus creating an individual mix of 56 ONH photographs. Each grader then classified the same 56 photographs before and after the lecture, but the photographs were sorted in different randomized orders. The median number of photographs from glaucoma subjects was 19 (ranging from 12 to 24), and 31 from healthy individuals (ranging from 26 to 38).
The lecture in ONH assessment for glaucoma diagnosis was performed by one of the authors (AGB). It was a one hour lecture based on Dr. Remo Susanna's course "How to assess the optic nerve head and the retinal nerve fiber layer in glaucoma", with definition of five rules to detect glaucoma . The lecture presented a systematic approach to evaluate optic discs with regards to glaucoma detection and focused particularly on the evaluation of optic disc size, neuroretinal rim, retinal nerve fiber layer, parapapillary atrophy and disc hemorrhages. All ONH photographs shown in the lecture were selected by the lecturer and were extracted from an independent database of glaucoma patients and healthy subjects collected at the Department of Ophthalmology, University of Dresden, Dresden, Germany. The lecture was ended with a short training session to use this systematic approach on 15 ONH photographs; nine glaucomatous ONHs, four healthy ONHs, one ONH with drusen and one ONH with optic pit.
Grader identity was masked in all analyses. Results were calculated for those graders performing assessments both prior to and after the lecture. Diagnostic accuracy was calculated in total as the percentage of correct classification among the 50 ONH photographs of each grader, and as sensitivity and specificity. The "uncertain" classifications were not included in the calculation of diagnostic accuracy. The change between sessions in diagnostic accuracy and number of uncertain classification for the whole group of graders was analyzed by one-sample t-test of differences. Mean values were calculated and reported for each subgroup, however, no comparisons for statistical differences between subgroups were performed since the number of participants was very low in some groups. The intra-grader variability was calculated by kappa statistics and interpreted by the rules suggested by Altman :
No agreement - less than 0
Poor agreement - 0 than 0.20
Fair agreement - 0.20 to 0.40
Moderate agreement - 0.40 to 0.60
Good agreement - 0.60 to 0.80
Very good agreement - 0.80 to 1.00
Change in kappa values was tested by one sample t-test.
Self reported clinical experience
Number of glaucoma
patients seen per month
Average sensitivity, specificity and number of uncertain classifications divided by reported affiliation/subgroup
n = 96
n = 15
with special interest in
n = 37
n = 28
n = 3
n = 7
n = 6
Intra-grader agreement, expressed as kappa, was on the average moderate, both before (0.53) and after (0.43) the lecture. The change was significant, p = 0.02. In the first session 17 graders showed very good agreement, while three graders showed no agreement. In the second session only five graders showed very good agreement and seven graders no agreement.
The effect of re-training of ONH assessment was small, but positive. Sensitivity improved and the number of uncertain classifications decreased, while specificity remained at the same level. The number of physicians in the different subgroups was too small for any statistical analysis, but as expected sensitivity was highest, both before and after the training (77% and 87% respectively) in the group of glaucoma experts. It may be more surprising that the effect of CME on sensitivity was of similar magnitude, approximately 10% improvement, in the expert group as in the other subgroups (Table 2) except for those with other subspecialty where sensitivity increased from 55% to 81%, but this group included 3 ophthalmologists only.
Uncertain classifications in the group with all graders, decreased significantly in number after the training session. A decrease was seen for all the subgroups, and somewhat surprisingly, even the glaucoma experts showed a marked decrease in the amount of uncertain classifications. The move from the uncertain alternative in the first session was almost equally divided to the glaucoma and healthy alternatives in the second session. This improved both sensitivity and specificity, but then the move of correctly classified healthy ONHs in first session to erroneously classifications in the second session was about four times larger than the move of correctly classified glaucomatous ONHs in the first session to erroneously classifications in the second session, which resulted in improved sensitivity and no change in specificity on the average.
Few articles have described effects of CME on ONH assessment for the diagnosis of glaucoma. To our knowledge the current study is the first to investigate the effect of CME for the glaucoma diagnosis in ophthalmologists with different experience. This kind of CME is often offered at ophthalmic meetings, with the aim of improving diagnostic performance of the auditorium. Margolis and co-workers reported in 1989  effects of an educational program in ONH assessment for residents in internal medicine and practicing internists. In this study both sensitivity and specificity improved significantly with 10 to 20% in the two groups. In the current study sensitivity, but not specificity, improved after the lecture. One reason may be that the short training session at the end of the lecture only included four photographs of healthy ONHs. Perhaps an extended education on normal variability of ONH appearance would have improved the specificity, similar to that seen on sensitivity. Our ONH photographs came from glaucoma patients with different disease severities from very early glaucoma to those with severe glaucomatous damage. The collection of ONH photographs of the healthy subjects was performed in a population-based sample including a wide range of normal ONH appearances, and not only obviously healthy looking ONHs.
Sheen et al.  also reported positive effects of education on disc assessment, but this time performed by medical students. In this study the results parameter was inter-grader agreement, calculated as the standard deviation of cup/disc ratios differences, between students and an expert observer. In the current study we have no result parameter to compare with this inter-grader agreement outcome, but we measured intra-grader agreement before and after the education lecture. Our result was negative, since the intra-grader agreement decreased.
The use of digitized photographs in our study enabled the graders to interpret images without any stress caused by time limits and also strongly facilitated the randomization of images to each grader. Digitized photographs have been shown to be a reasonable alternative and comparable with traditional slide photographs. Stone et al. recently reported that primary digital or scanned optic disc images were suitable substitutes for traditional slide photographs . Within retinal diseases such as diabetic retinopathy and macular degeneration there are several image quality studies comparing digital and digitized images with slide photographs, concluding that there are a close agreement [25–28].
A positive learning effect of teaching could be anticipated, and of course the result depends both on the teacher, the auditorium and the format for the training. In our study the total improvement after the training lesson was significant, however the change was a marginal 4% only. The lecture format only may not be the optimal way to train ophthalmologist to read ONH for the diagnosis of glaucoma. A two-way communication, e.g. interactive education, instead of a one-way lecture may possibly yield a somewhat better result.
Training produced small positive changes in diagnostic performance, also among glaucoma experts. Sensitivity increased significantly, while specificity was unchanged, and the number of uncertain classifications decreased significantly.
Allergan Norden AB funded the work with the web-based database questionnaire. The study was supported by the Swedish Research Council grant K2005-74X-10426-13A, The Herman Järnhardt Foundation, The Foundation for Visually Impaired in Former Malmöhus län, and Crown Princess Margareta's Foundation for Visually Impaired. We would also like to thank all the participating doctors for their interest and collaboration in this project.
- Snydacker D: The Normal Optic Disc. Ophthalmoscopic and Photographic Studies. Am J Ophthalmol. 1964, 58: 958-964.View ArticlePubMedGoogle Scholar
- Read RM, Spaeth GL: The practical clinical appraisal of the optic disc in glaucoma: the natural history of cup progression and some specific disc-field correlations. Trans Am Acad Ophthalmol Otolaryngol. 1974, 78 (2): OP255-274.PubMedGoogle Scholar
- Cher I, Robinson LP: 'Thinning' of the neural rim of the optic nerve-head. An altered state, providing a new ophthalmoscopic sign associated with characteristics of glaucoma. Trans Ophthalmol Soc U K. 1973, 93 (0): 213-242.PubMedGoogle Scholar
- Hitchings RA, Spaeth GL: The optic disc in glaucoma. I: Classification. Br J Ophthalmol. 1976, 60 (11): 778-785. 10.1136/bjo.60.11.778.View ArticlePubMedPubMed CentralGoogle Scholar
- Airaksinen PJ, Mustonen E, Alanko HI: Optic Disk Hemorrhages Precede Retinal Nerve-Fiber Layer Defects in Ocular Hypertension. Acta Ophthalmol. 1981, 59 (5): 627-641.View ArticleGoogle Scholar
- Jonas JB, Gusek GC, Naumann GO: Optic disc morphometry in chronic primary open-angle glaucoma. I. Morphometric intrapapillary characteristics. Graefes Arch Clin Exp Ophthalmol. 1988, 226 (6): 522-530. 10.1007/BF02169199.View ArticlePubMedGoogle Scholar
- Armaly MF: Genetic determination of cup/disc ratio of the optic nerve. Arch Ophthalmol. 1967, 78 (1): 35-43.View ArticlePubMedGoogle Scholar
- Bengtsson B: The variation and covariation of cup and disc diameters. Acta Ophthalmol (Copenh). 1976, 54 (6): 804-818.View ArticleGoogle Scholar
- Heijl A, Molder H: Optic disc diameter influences the ability to detect glaucomatous disc damage. Acta Ophthalmol (Copenh). 1993, 71 (1): 122-129.View ArticleGoogle Scholar
- Jonas JB, Fernandez MC, Naumann GO: Glaucomatous optic nerve atrophy in small discs with low cup-to-disc ratios. Ophthalmology. 1990, 97 (9): 1211-1215.View ArticlePubMedGoogle Scholar
- Correnti AJ, Wollstein G, Price LL, Schuman JS: Comparison of optic nerve head assessment with a digital stereoscopic camera (discam), scanning laser ophthalmoscopy, and stereophotography. Ophthalmology. 2003, 110 (8): 1499-1505. 10.1016/S0161-6420(03)00496-2.View ArticlePubMedPubMed CentralGoogle Scholar
- Deleon-Ortega JE, Arthur SN, McGwin G, Xie A, Monheit BE, Girkin CA: Discrimination between glaucomatous and nonglaucomatous eyes using quantitative imaging devices and subjective optic nerve head assessment. Invest Ophthalmol Vis Sci. 2006, 47 (8): 3374-3380. 10.1167/iovs.05-1239.View ArticlePubMedGoogle Scholar
- Harper R, Radi N, Reeves BC, Fenerty C, Spencer AF, Batterbury M: Agreement between ophthalmologists and optometrists in optic disc assessment: training implications for glaucoma co-management. Graefes Arch Clin Exp Ophthalmol. 2001, 239 (5): 342-350. 10.1007/s004170100272.View ArticlePubMedGoogle Scholar
- Morgan JE, Sheen NJ, North RV, Goyal R, Morgan S, Ansari E, Wild JM: Discrimination of glaucomatous optic neuropathy by digital stereoscopic analysis. Ophthalmology. 2005, 112 (5): 855-862. 10.1016/j.ophtha.2004.11.056.View ArticlePubMedGoogle Scholar
- Reus NJ, Lemij HG, Garway-Heath DF, Airaksinen PJ, Anton A, Bron AM, Faschinger C, Hollo G, Iester M, Jonas JB, et al: Clinical Assessment of Stereoscopic Optic Disc Photographs for Glaucoma: The European Optic Disc Assessment Trial. Ophthalmology. 2009Google Scholar
- Varma R, Steinmann WC, Scott IU: Expert agreement in evaluating the optic disc for glaucoma. Ophthalmology. 1992, 99 (2): 215-221.View ArticlePubMedGoogle Scholar
- Wollstein G, Garway-Heath DF, Fontana L, Hitchings RA: Identifying early glaucomatous changes. Comparison between expert clinical assessment of optic disc photographs and confocal scanning ophthalmoscopy. Ophthalmology. 2000, 107 (12): 2272-2277. 10.1016/S0161-6420(00)00363-8.View ArticlePubMedGoogle Scholar
- Gundersen KG, Heijl A, Bengtsson B: Age, gender, IOP, refraction and optic disc topography in normal eyes. A cross-sectional study using raster and scanning laser tomography. Acta Ophthalmol Scand. 1998, 76 (2): 170-175. 10.1034/j.1600-0420.1998.760209.x.View ArticlePubMedGoogle Scholar
- Gundersen KG, Heijl A, Bengtsson B: Optic nerve head sector analysis recognizes glaucoma most effectively around disc poles. Acta Ophthalmol Scand. 1999, 77 (1): 13-18. 10.1034/j.1600-0420.1999.770103.x.View ArticlePubMedGoogle Scholar
- Fingeret M, Medeiros FA, Susanna R, Weinreb RN: Five rules to evaluate the optic disc and retinal nerve fiber layer for glaucoma. Optometry. 2005, 76 (11): 661-668.View ArticlePubMedGoogle Scholar
- Altman DG: Practical Statistics for Medical Research. 1991, Chapman and HallGoogle Scholar
- Margolis KL, Money BE, Kopietz LA, Rich EC: Physician recognition of ophthalmoscopic signs of open-angle glaucoma: effect of an educational program. J Gen Intern Med. 1989, 4 (4): 296-299. 10.1007/BF02597400.View ArticlePubMedGoogle Scholar
- Sheen NJ, Morgan JE, Poulsen JL, North RV: Digital stereoscopic analysis of the optic disc: evaluation of a teaching program. Ophthalmology. 2004, 111 (10): 1873-1879.PubMedGoogle Scholar
- Stone RA, Ying GS, Pearson DJ, Bansal M, Puri M, Miller E, Alexander J, Piltz-Seymour J, Nyberg W, Maguire MG, et al: Utility of digital stereo images for optic disc evaluation. Invest Ophthalmol Vis Sci. 2010, 51 (11): 5667-5674. 10.1167/iovs.09-4999.View ArticlePubMedPubMed CentralGoogle Scholar
- George LD, Leverton C, Young S, Lusty J, Dunstan FD, Owens DR: Can digitised colour 35 mm transparencies be used to diagnose diabetic retinopathy?. Diabet Med. 1997, 14 (11): 970-973. 10.1002/(SICI)1096-9136(199711)14:11<970::AID-DIA484>3.0.CO;2-Y.View ArticlePubMedGoogle Scholar
- Rudnisky CJ, Tennant MT, Weis E, Ting A, Hinz BJ, Greve MD: Web-based grading of compressed stereoscopic digital photography versus standard slide film photography for the diagnosis of diabetic retinopathy. Ophthalmology. 2007, 114 (9): 1748-1754. 10.1016/j.ophtha.2006.12.010.View ArticlePubMedGoogle Scholar
- Scholl HP, Dandekar SS, Peto T, Bunce C, Xing W, Jenkins S, Bird AC: What is lost by digitizing stereoscopic fundus color slides for macular grading in age-related maculopathy and degeneration?. Ophthalmology. 2004, 111 (1): 125-132. 10.1016/j.ophtha.2003.05.003.View ArticlePubMedGoogle Scholar
- van Leeuwen R, Chakravarthy U, Vingerling JR, Brussee C, Hooghart AJ, Mulder PG, de Jong PT: Grading of age-related maculopathy for epidemiological studies: is digital imaging as good as 35-mm film?. Ophthalmology. 2003, 110 (8): 1540-1544. 10.1016/S0161-6420(03)00501-3.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2415/11/12/prepub
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