Cargando…
Modeling sequential context effects in diagnostic interpretation of screening mammograms
Prior research has shown that physicians’ medical decisions can be influenced by sequential context, particularly in cases where successive stimuli exhibit similar characteristics when analyzing medical images. This type of systematic error is known to psychophysicists as sequential context effect a...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858736/ https://www.ncbi.nlm.nih.gov/pubmed/29564370 http://dx.doi.org/10.1117/1.JMI.5.3.031408 |
_version_ | 1783307703946313728 |
---|---|
author | Alamudun, Folami Paulus, Paige Yoon, Hong-Jun Tourassi, Georgia |
author_facet | Alamudun, Folami Paulus, Paige Yoon, Hong-Jun Tourassi, Georgia |
author_sort | Alamudun, Folami |
collection | PubMed |
description | Prior research has shown that physicians’ medical decisions can be influenced by sequential context, particularly in cases where successive stimuli exhibit similar characteristics when analyzing medical images. This type of systematic error is known to psychophysicists as sequential context effect as it indicates that judgments are influenced by features of and decisions about the preceding case in the sequence of examined cases, rather than being based solely on the peculiarities unique to the present case. We determine if radiologists experience some form of context bias, using screening mammography as the use case. To this end, we explore correlations between previous perceptual behavior and diagnostic decisions and current decisions. We hypothesize that a radiologist’s visual search pattern and diagnostic decisions in previous cases are predictive of the radiologist’s current diagnostic decisions. To test our hypothesis, we tasked 10 radiologists of varied experience to conduct blind reviews of 100 four-view screening mammograms. Eye-tracking data and diagnostic decisions were collected from each radiologist under conditions mimicking clinical practice. Perceptual behavior was quantified using the fractal dimension of gaze scanpath, which was computed using the Minkowski–Bouligand box-counting method. To test the effect of previous behavior and decisions, we conducted a multifactor fixed-effects ANOVA. Further, to examine the predictive value of previous perceptual behavior and decisions, we trained and evaluated a predictive model for radiologists’ current diagnostic decisions. ANOVA tests showed that previous visual behavior, characterized by fractal analysis, previous diagnostic decisions, and image characteristics of previous cases are significant predictors of current diagnostic decisions. Additionally, predictive modeling of diagnostic decisions showed an overall improvement in prediction error when the model is trained on additional information about previous perceptual behavior and diagnostic decisions. |
format | Online Article Text |
id | pubmed-5858736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-58587362019-03-19 Modeling sequential context effects in diagnostic interpretation of screening mammograms Alamudun, Folami Paulus, Paige Yoon, Hong-Jun Tourassi, Georgia J Med Imaging (Bellingham) Special Section on Medical Image Perceptions and Observer Performance Prior research has shown that physicians’ medical decisions can be influenced by sequential context, particularly in cases where successive stimuli exhibit similar characteristics when analyzing medical images. This type of systematic error is known to psychophysicists as sequential context effect as it indicates that judgments are influenced by features of and decisions about the preceding case in the sequence of examined cases, rather than being based solely on the peculiarities unique to the present case. We determine if radiologists experience some form of context bias, using screening mammography as the use case. To this end, we explore correlations between previous perceptual behavior and diagnostic decisions and current decisions. We hypothesize that a radiologist’s visual search pattern and diagnostic decisions in previous cases are predictive of the radiologist’s current diagnostic decisions. To test our hypothesis, we tasked 10 radiologists of varied experience to conduct blind reviews of 100 four-view screening mammograms. Eye-tracking data and diagnostic decisions were collected from each radiologist under conditions mimicking clinical practice. Perceptual behavior was quantified using the fractal dimension of gaze scanpath, which was computed using the Minkowski–Bouligand box-counting method. To test the effect of previous behavior and decisions, we conducted a multifactor fixed-effects ANOVA. Further, to examine the predictive value of previous perceptual behavior and decisions, we trained and evaluated a predictive model for radiologists’ current diagnostic decisions. ANOVA tests showed that previous visual behavior, characterized by fractal analysis, previous diagnostic decisions, and image characteristics of previous cases are significant predictors of current diagnostic decisions. Additionally, predictive modeling of diagnostic decisions showed an overall improvement in prediction error when the model is trained on additional information about previous perceptual behavior and diagnostic decisions. Society of Photo-Optical Instrumentation Engineers 2018-03-19 2018-07 /pmc/articles/PMC5858736/ /pubmed/29564370 http://dx.doi.org/10.1117/1.JMI.5.3.031408 Text en © The Authors. https://creativecommons.org/licenses/by/3.0/ Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Special Section on Medical Image Perceptions and Observer Performance Alamudun, Folami Paulus, Paige Yoon, Hong-Jun Tourassi, Georgia Modeling sequential context effects in diagnostic interpretation of screening mammograms |
title | Modeling sequential context effects in diagnostic interpretation of screening mammograms |
title_full | Modeling sequential context effects in diagnostic interpretation of screening mammograms |
title_fullStr | Modeling sequential context effects in diagnostic interpretation of screening mammograms |
title_full_unstemmed | Modeling sequential context effects in diagnostic interpretation of screening mammograms |
title_short | Modeling sequential context effects in diagnostic interpretation of screening mammograms |
title_sort | modeling sequential context effects in diagnostic interpretation of screening mammograms |
topic | Special Section on Medical Image Perceptions and Observer Performance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858736/ https://www.ncbi.nlm.nih.gov/pubmed/29564370 http://dx.doi.org/10.1117/1.JMI.5.3.031408 |
work_keys_str_mv | AT alamudunfolami modelingsequentialcontexteffectsindiagnosticinterpretationofscreeningmammograms AT pauluspaige modelingsequentialcontexteffectsindiagnosticinterpretationofscreeningmammograms AT yoonhongjun modelingsequentialcontexteffectsindiagnosticinterpretationofscreeningmammograms AT tourassigeorgia modelingsequentialcontexteffectsindiagnosticinterpretationofscreeningmammograms |