Computer-aided Facial Analysis in Diagnosing Dysmorphic Syndromes in Indian Children

Dhanya Lakshmi Narayanan, Prajnya Ranganath, Shagun Aggarwal, Ashwin Dalal, Shubha R. Phadke, Kaushik Mandal

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Objective: To assess the utility of computer-aided facial analysis in identifying dysmorphic syndromes in Indian children. Methods: Fifty-one patients with a definite molecular or cytogenetic diagnosis and recognizable facial dysmorphism were enrolled in the study and their facial photographs were uploaded in the Face2Gene software. The results provided by the software were compared with the molecular diagnosis. Results: Of the 51 patients, the software predicted the correct diagnosis in 37 patients (72.5%); predicted as the first in the top ten suggestions in 26 (70.2%). In 14 patients, the software did not suggest a correct diagnosis. Conclusions: Computer-aided facial analysis is a method that can aid in diagnosis of genetic syndromes in Indian children. As more clinicians start to use this software, its accuracy is expected to improve.

Original languageEnglish
Pages (from-to)1017-1019
Number of pages3
JournalIndian Pediatrics
Volume56
Issue number12
DOIs
Publication statusPublished - 01-12-2019

All Science Journal Classification (ASJC) codes

  • Pediatrics, Perinatology, and Child Health

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