A pilot study on using eye tracking to understand assessment of surgical outcomes from clinical photography

Min Soon Kim, Angela Burgess, Andrew J. Waters, Gregory P. Reece, Elisabeth K. Beahm, Melissa A. Crosby, Karen M. Basen-Engquist, Mia K. Markey

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Appearance changes resulting from breast cancer treatment impact the quality of life of breast cancer survivors, but current approaches to evaluating breast characteristics are very limited. It is challenging, even for experienced plastic surgeons, to describe how different aspects of breast morphology impact overall assessment of esthetics. Moreover, it is difficult to describe what they are looking for in a manner that facilitates quantification. The goal of this study is to assess the potential of using eyetracking technology to understand how plastic surgeons assess breast morphology by recording their gaze path while they rate physical characteristics of the breasts, e.g., symmetry, based on clinical photographs. In this study, dwell time, transition frequency, dwell sequence conditional probabilities, and dwell sequence joint probabilities were analyzed across photographic poses and three observers. Dwell-time analysis showed that all three surgeons spent the majority of their time on the anterior-posterior (AP) views. Similarly, transition frequency analysis between regions showed that there were substantially more transitions between the breast regions in the AP view, relative to the number of transitions between other views. The results of both the conditional and joint probability analyses between the breast regions showed that the highest probabilities of transitions were observed between the breast regions in the AP view (APRB, APLB) followed by the oblique views and the lateral views to complete evaluation of breast surgical outcomes.

Original languageEnglish (US)
Pages (from-to)778-786
Number of pages9
JournalJournal of Digital Imaging
Volume24
Issue number5
DOIs
StatePublished - Oct 2011

Keywords

  • Biomedical image analysis
  • Breast neoplasm
  • Decision support
  • Evaluation research
  • Eye movements

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A pilot study on using eye tracking to understand assessment of surgical outcomes from clinical photography'. Together they form a unique fingerprint.

Cite this