Evaluating the growth of eyelid lesions: comparison of clinical evaluation and a software-based model

Purpose To evaluate the accuracy of clinicians in evaluating the growth of eyelid lesions and to compare the measurements of experienced ophthalmologists to a novel computerized measurement method. Design Prospective, single center, observational study. Methods Six experienced ophthalmologists were...

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Bibliographic Details
Published in:International ophthalmology 2017-12, Vol.37 (6), p.1257-1261
Main Authors: Soto, Julie Linden, Vrcek, Ivan, Ozgur, Omar, Mancini, Ronald
Format: Article
Language:English
Subjects:
Computer programs
Computer simulation
Expansion
Eye cancer
Eyelid
Eyelid Neoplasms - diagnosis
Head & neck cancer
Humans
Lesions
Medical personnel
Medicine
Medicine & Public Health
Ophthalmology
Original Paper
Patient Simulation
Photography
Photography - methods
Prospective Studies
Reproducibility of Results
Slit Lamp Microscopy
Software
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Summary:Purpose To evaluate the accuracy of clinicians in evaluating the growth of eyelid lesions and to compare the measurements of experienced ophthalmologists to a novel computerized measurement method. Design Prospective, single center, observational study. Methods Six experienced ophthalmologists were asked to measure 3 simulated eyelid lesions using a slit lamp. These lesions were then enlarged, and the same examiners were asked to measure the enlarged lesions without prompting that the lesions had changed. Slit lamp photography of the original lesions and enlarged lesions were analyzed using freely available software from the National Institutes of Health. The results of clinician measurements were compared to the software-generated data. Results Clinician data regarding the growth of the lesions were as follows: −40.9 to +76.8% for lesion 1, +29.3 to +134.4% for lesion 2, and +148.5 to +1169.2% for lesion 3. Software-based measurements were as follows: +53.6, +100.7, and +182.2% for lesions 1, 2, and 3, respectively. Conclusions Monitoring growth of eyelid lesions in clinical practice can be challenging. We propose that using computerized software to analyze surface area of concerning eyelid lesions may provide a significant advantage over current clinical practices.
ISSN:0165-5701
1573-2630
DOI:10.1007/s10792-016-0394-1