Abstract

to compare the accuracy of eyelid tumor diagnosis obtained by evaluating conventional camera images with the ones obtained by evaluating smartphone images. from January 2016 to July 2017, 36 patients underwent face-to-face external assessments and biomicroscopic examinations to establish clinical diagnoses. The lesions were photographed using Canon PowerShot SX530 HS Digital Camera (16.8 Megapixels) and Samsung GALAXY S4 smartphone camera. All lesions were resected and submitted to anatomopathological examinations. Preoperative images were sent to two specialists in eyelid diseases and then remotely analyzed. Data from in-person diagnoses and telediagnoses were compared with the gold standard of histological diagnosis. the most frequent lesions were basal cell carcinoma (33.3%), actinic keratosis (19.4%), and nevus (13.9%). Kappa coefficient for the diagnosis of malignant lesion showed agreement between the two tele-evaluators in the conventional digital camera images (0.68) and in the smartphone images (0.78). The face-to-face examiner's accuracy was of 94.4%; the tele-evaluators' accuracy in the conventional digital camera images was of 83.3% and in the smartphone images varied from 80.6% to 86.1%. Comparing the in-person diagnoses with the telediagnoses (obtained by evaluating conventional digital camera images or smartphone images), there was no significant difference in the hit rates. for eyelid tumor telediagnosis, images obtained using smartphone camera were equivalent to those obtained using conventional digital camera.

Highlights

  • Photodocumentation is essential in the medical field, for the doctor and for the patient

  • The objective of the present study is to compare the accuracy of eyelid tumor diagnosis obtained by evaluating conventional digital camera images with the ones obtained by evaluating smartphone images

  • Several requirements are necessary for the good practice of clinical photography, from the use of a camera with appropriate lens and a computer to process and store images to programs to manipulate images and share files

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Summary

Introduction

Photodocumentation is essential in the medical field, for the doctor and for the patient. It is used in medical records to register the evolution of the diseases along the treatments, as well as a tool and reference for preoperative planning/ period, for surgeons’ self-evaluation, and for sharing information with colleagues in presentations and publications. It is widely considered for medical insurance and medical-legal purposes[1]. Several authors consider cameras with large image sensors (≥22.3mm x 14.9mm), which produce better quality images, as fundamental requirements for obtaining medical photography[1,3]. Cameras that do not allow changing lenses, such as compact ones, are not recommended. The ideal lens is the macro one, which allows the 1:1 reproduction of the object with a 60-90mm lens body diameter

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