Can AI serve as an independent second reader of mammograms? a simulation study
(2020) 15th International Workshop on Breast Imaging, IWBI 2020 In Proceedings of SPIE - The International Society for Optical Engineering 11513.- Abstract
In this study we used a large previously built database of 2,892 mammograms and 31,650 single mammogram radiologists' assessments to simulate the impact of replacing one radiologist by an AI system in a double reading setting. The double human reading scenario and the double hybrid reading scenario (second reader replaced by an AI system) were simulated via bootstrapping using different combinations of mammograms and radiologists from the database. The main outcomes of each scenario were sensitivity, specificity and workload (number of necessary readings). The results showed that when using AI as a second reader, workload can be reduced by 44%, sensitivity remains similar (difference-0.1%; 95% CI =-4.1%, 3.9%), and specificity increases... (More)
In this study we used a large previously built database of 2,892 mammograms and 31,650 single mammogram radiologists' assessments to simulate the impact of replacing one radiologist by an AI system in a double reading setting. The double human reading scenario and the double hybrid reading scenario (second reader replaced by an AI system) were simulated via bootstrapping using different combinations of mammograms and radiologists from the database. The main outcomes of each scenario were sensitivity, specificity and workload (number of necessary readings). The results showed that when using AI as a second reader, workload can be reduced by 44%, sensitivity remains similar (difference-0.1%; 95% CI =-4.1%, 3.9%), and specificity increases by 5.3% (P<0.001). Our results suggest that using AI as a second reader in a double reading setting as in screening programs could be a strategy to reduce workload and false positive recalls without affecting sensitivity.
(Less)
- author
- publishing date
- 2020
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 15th International Workshop on Breast Imaging, IWBI 2020
- series title
- Proceedings of SPIE - The International Society for Optical Engineering
- editor
- Bosmans, Hilde ; Marshall, Nicholas and Van Ongeval, Chantal
- volume
- 11513
- article number
- 115130O
- publisher
- SPIE
- conference name
- 15th International Workshop on Breast Imaging, IWBI 2020
- conference location
- Leuven, Belgium
- conference dates
- 2020-05-25 - 2020-05-27
- external identifiers
-
- scopus:85086138180
- ISSN
- 0277-786X
- 1996-756X
- ISBN
- 9781510638310
- DOI
- 10.1117/12.2564114
- language
- English
- LU publication?
- no
- id
- 7f574c5c-81be-4623-a1a6-741578a31cfe
- date added to LUP
- 2020-06-29 15:35:52
- date last changed
- 2024-09-05 00:20:02
@inproceedings{7f574c5c-81be-4623-a1a6-741578a31cfe, abstract = {{<p>In this study we used a large previously built database of 2,892 mammograms and 31,650 single mammogram radiologists' assessments to simulate the impact of replacing one radiologist by an AI system in a double reading setting. The double human reading scenario and the double hybrid reading scenario (second reader replaced by an AI system) were simulated via bootstrapping using different combinations of mammograms and radiologists from the database. The main outcomes of each scenario were sensitivity, specificity and workload (number of necessary readings). The results showed that when using AI as a second reader, workload can be reduced by 44%, sensitivity remains similar (difference-0.1%; 95% CI =-4.1%, 3.9%), and specificity increases by 5.3% (P<0.001). Our results suggest that using AI as a second reader in a double reading setting as in screening programs could be a strategy to reduce workload and false positive recalls without affecting sensitivity.</p>}}, author = {{Rodríguez-Ruiz, Alejandro and Lång, Kristina and Gubern-Merida, Albert and Broeders, Mireille and Gennaro, Gisella and Clauser, Paola and Helbich, Thomas and Mertelmeier, Thomas and Chevalier, Margarita and Wallis, Matthew and Andersson, Ingvar and Zackrisson, Sophia and Mann, R. M. and Sechopoulos, I. and Sechopoulos, I.}}, booktitle = {{15th International Workshop on Breast Imaging, IWBI 2020}}, editor = {{Bosmans, Hilde and Marshall, Nicholas and Van Ongeval, Chantal}}, isbn = {{9781510638310}}, issn = {{0277-786X}}, language = {{eng}}, publisher = {{SPIE}}, series = {{Proceedings of SPIE - The International Society for Optical Engineering}}, title = {{Can AI serve as an independent second reader of mammograms? a simulation study}}, url = {{http://dx.doi.org/10.1117/12.2564114}}, doi = {{10.1117/12.2564114}}, volume = {{11513}}, year = {{2020}}, }