Improving radiologist's ability in identifying particular abnormal lesions on mammograms through training test set with immediate feedback

Journal article


Trieu, Phuong Dung (Yun), Lewis, Sarah J., Li, Tong, Ho, Karen, Wong, Dennis J., Tran, Oanh T. M., Puslednik, Louise, Black, Deborah and Brennan, Patrick C.. (2021). Improving radiologist's ability in identifying particular abnormal lesions on mammograms through training test set with immediate feedback. Scientific Reports. 11(1), p. Article 9899. https://doi.org/10.1038/s41598-021-89214-3
AuthorsTrieu, Phuong Dung (Yun), Lewis, Sarah J., Li, Tong, Ho, Karen, Wong, Dennis J., Tran, Oanh T. M., Puslednik, Louise, Black, Deborah and Brennan, Patrick C.
Abstract

It has been shown that there are differences in diagnostic accuracy of cancer detection on mammograms, from below 50% in developing countries to over 80% in developed world. One previous study reported that radiologists from a population in Asia displayed a low mammographic cancer detection of 48% compared with over 80% in developed countries, and more importantly, that most lesions missed by these radiologists were spiculated masses or stellate lesions. The aim of this study was to explore the performance of radiologists after undertaking a training test set which had been designed to improve the capability in detecting a specific type of cancers on mammograms. Twenty-five radiologists read two sets of 60 mammograms in a standardized mammogram reading room. The first test set focused on stellate or spiculated masses. When radiologists completed the first set, the system displayed immediate feedback to the readers comparing their performances in each case with the truth of cancer cases and cancer types so that the readers could identify individual-based errors. Later radiologists were asked to read the second set of mammograms which contained different types of cancers including stellate/spiculated masses, asymmetric density, calcification, discrete mass and architectural distortion. Case sensitivity, lesion sensitivity, specificity, receiver operating characteristics (ROC) and Jackknife alternative free-response receiver operating characteristics (JAFROC) were calculated for each participant and their diagnostic accuracy was compared between two sessions. Results showed significant improvement among radiologists in case sensitivity (+ 11.4%; P < 0.05), lesion sensitivity (+ 18.7%; P < 0.01) and JAFROC (+ 11%; P < 0.01) in the second set compared with the first set. The increase in diagnostic accuracy was also recorded in the detection of stellate/spiculated mass (+ 20.6%; P < 0.05). This indicated that the performance of radiologists in detecting malignant lesions on mammograms can be improved if an appropriate training intervention is applied after the readers’ weakness and strength are identified.

Year2021
JournalScientific Reports
Journal citation11 (1), p. Article 9899
PublisherNature Publishing Group
ISSN2045-2322
Digital Object Identifier (DOI)https://doi.org/10.1038/s41598-021-89214-3
PubMed ID33972611
Scopus EID2-s2.0-85105598755
PubMed Central IDPMC8110801
Open accessPublished as ‘gold’ (paid) open access
Research or scholarlyResearch
Page range1-8
Publisher's version
License
File Access Level
Open
Output statusPublished
Publication dates
Online10 May 2021
Publication process dates
Accepted06 Apr 2021
Deposited03 Jun 2022
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