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...

Descripción completa

Detalles Bibliográficos
Autores principales: Alamudun, Folami, Paulus, Paige, Yoon, Hong-Jun, Tourassi, Georgia
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