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Comparison of clini...
Comparison of clinicians and an artificial neural network regarding accuracy and certainty in performance of visual field assessment for the diagnosis of glaucoma.
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- Andersson, Sabina (författare)
- Lund University,Lunds universitet,Oftalmologi (Malmö),Forskargrupper vid Lunds universitet,Ophthalmology (Malmö),Lund University Research Groups
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- Heijl, Anders (författare)
- Lund University,Lunds universitet,Oftalmologi (Malmö),Forskargrupper vid Lunds universitet,Ophthalmology (Malmö),Lund University Research Groups
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- Bizios, Dimitrios (författare)
- Lund University,Lunds universitet,Oftalmologi (Malmö),Forskargrupper vid Lunds universitet,Ophthalmology (Malmö),Lund University Research Groups
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- Bengtsson, Boel (författare)
- Lund University,Lunds universitet,Oftalmologi (Malmö),Forskargrupper vid Lunds universitet,Ophthalmology (Malmö),Lund University Research Groups
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(creator_code:org_t)
- 2012-05-15
- 2013
- Engelska.
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Ingår i: Acta Ophthalmologica. - : Wiley. - 1755-3768 .- 1755-375X. ; 91:5, s. 413-417
- Relaterad länk:
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http://www.ncbi.nlm....
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http://dx.doi.org/10...
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https://onlinelibrar...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Purpose: To compare clinicians and a trained artificial neural network (ANN) regarding accuracy and certainty of assessment of visual fields for the diagnosis of glaucoma. Methods: Thirty physicians with different levels of knowledge and experience in glaucoma management assessed 30-2 SITA Standard visual field printouts that included full Statpac information from 99 patients with glaucomatous optic neuropathy and 66 healthy subjects. Glaucomatous eyes with perimetric mean deviation values worsethan -10 dB were not eligible. The fields were graded on a scale of 1-10, where 1 indicated healthy with absolute certaintyand 10 signified glaucoma; 5.5 was the cut-off between healthy and glaucoma. The same fields were classified by a previously trained ANN. The ANN output was transformed into a linear scale that matched the scale used in the subjective assessments. Classification certainty was assessed using a classification error score. Results: Among the physicians, sensitivity ranged from 61% to 96% (mean 83%) and specificity from 59% to 100% (mean 90%). Our ANN achieved 93% sensitivity and 91% specificity, and it was significantly more sensitive than the physicians (p < 0.001) at a similar level of specificity. The ANN classification error score was equivalent to the top third scores of all physicians, and the ANN never indicated a high degree of certainty for any of its misclassified visual field tests. Conclusion: Our results indicate that a trained ANN performs at least as well as physicians in assessments of visual fields for the diagnosis of glaucoma.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Oftalmologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Ophthalmology (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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