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


METHODS
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.
Dallas Eye and Ear, Dallas, TX, USA.
Julie Linden
JL
Soto
TOC Eye and Face, Austin, TX, USA.
Ivan
I
Vrcek
Department of Plastic Surgery, Ophthalmic Plastic and Reconstructive Surgery, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Omar
O
Ozgur
Department of Ophthalmology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 5390-9057, USA. Ronald.mancini@utsouthwestern.edu.
Ronald
R
Mancini
D005142:Eyelid Neoplasms / Q000175:diagnosis*; D006801:Humans; D016544:Patient Simulation; D010781:Photography / Q000379:methods*; D011446:Prospective Studies; D015203:Reproducibility of Results; D000072776:Slit Lamp Microscopy; D012984:Software
Eyelid cancer; Eyelid lesions; ImageJ