Precision and repeatability of the iPhone with LIDAR laser measuring cutaneous and subcutaneous masses in 20 dogs.

Quinonero, I. , Karydas, S. and Solano, M.A. (2023) Precision and repeatability of the iPhone with LIDAR laser measuring cutaneous and subcutaneous masses in 20 dogs. 2023 ECVS 32nd Annual Scientific Meeting, Cracow, Poland, 06-08 Jul 2023.

Full text not currently available from Enlighten.

Abstract

Objectives: LIDAR is a radar sensor that uses infra-red light. LIDAR was introduced in the iPhone Pro-12, and it has been used in different scientific fields with similar conclusions: it is accurate when compared with a professional-grade LIDAR. There is a lack of studies regarding its application in veterinary or human medicine. Our hypothesis was that the iPhone with LIDAR will be accurate measuring cutaneous and subcutaneous masses ≥1 cm in dogs. Methods: A pilot study was conducted with 3 observers measuring two calibrated rules (DSLRKIT) with an iPhone and the 3d scanner app®. The clinical study was conducted by 1 observer measuring cutaneous/subcutaneous masses ≥1 cm in 20 dogs, using an iPhone (≤50 cm distance with the 3d scanner app®) and compared with a caliper. Results: In the pilot study, inter-observer correlation was high (>0.984) with no significant differences between measurements at ≤50 cm from the object (t-test p < .001). In the clinical study, there were no significant differences and high correlation between measurements obtained using the iPhone and caliper (t-test p < 0.001 and Spearman's Rho >0.9). Conclusions: iPhone with LIDAR provided accurate measurements of cutaneous and subcutaneous masses ≥1 cm. This technology may have application in daily clinical practice.

Item Type:Conference or Workshop Item
Additional Information:Abstract - Available in Veterinary Surgery, 52(5): O48
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Quinonero Reinaldos, Dr Ignacio
Authors: Quinonero, I., Karydas, S., and Solano, M.A.
College/School:College of Medical Veterinary and Life Sciences > School of Biodiversity, One Health & Veterinary Medicine
Journal Name:ECVS
ISSN:0161-3499
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record