Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload
Breast diffusion-weighted imaging (DWI) has shown potential as a standalone imaging technique for certain indications, eg, supplemental screening of women with dense breasts. This study evaluates an artificial intelligence (AI)-powered computer-aided diagnosis (CAD) system for clinical interpretatio...
Saved in:
| Main Authors: | , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Article (Journal) |
| Language: | English |
| Published: |
23 September 2025
|
| In: |
Journal of the American Medical Informatics Association
Year: 2025, Volume: 32, Issue: 12, Pages: 1908-1915 |
| ISSN: | 1527-974X |
| DOI: | 10.1093/jamia/ocaf156 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1093/jamia/ocaf156 Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/jamia/article/32/12/1908/8262149?login=true 
|
| Author Notes: | Dimitrios Bounias, MSc, Lina Simons, Michael Baumgartner, PhD, Chris Ehring, PhD, Peter Neher, PhD, Lorenz A Kapsner, MD, Balint Kovacs, MSc, Ralf Floca, PhD, Paul F Jaeger, PhD, Jessica Eberle, MD, Dominique Hadler, MD, Frederik B Laun, PhD, Sabine Ohlmeyer, MD, Lena Maier-Hein, PhD, Michael Uder, MD, Evelyn Wenkel, MD, Klaus H Maier-Hein, PhD, Sebastian Bickelhaupt, MD |
MARC
| LEADER | 00000naa a2200000 c 4500 | ||
|---|---|---|---|
| 001 | 1950997561 | ||
| 003 | DE-627 | ||
| 005 | 20260203120613.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 260203s2025 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1093/jamia/ocaf156 |2 doi | |
| 035 | |a (DE-627)1950997561 | ||
| 035 | |a (DE-599)KXP1950997561 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 33 |2 sdnb | ||
| 100 | 1 | |a Bounias, Dimitrios |e VerfasserIn |0 (DE-588)1364083434 |0 (DE-627)1923898574 |4 aut | |
| 245 | 1 | 0 | |a Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload |c Dimitrios Bounias, MSc, Lina Simons, Michael Baumgartner, PhD, Chris Ehring, PhD, Peter Neher, PhD, Lorenz A Kapsner, MD, Balint Kovacs, MSc, Ralf Floca, PhD, Paul F Jaeger, PhD, Jessica Eberle, MD, Dominique Hadler, MD, Frederik B Laun, PhD, Sabine Ohlmeyer, MD, Lena Maier-Hein, PhD, Michael Uder, MD, Evelyn Wenkel, MD, Klaus H Maier-Hein, PhD, Sebastian Bickelhaupt, MD |
| 264 | 1 | |c 23 September 2025 | |
| 300 | |b Illustrationen | ||
| 300 | |a 8 | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Gesehen am 03.02.2026 | ||
| 520 | |a Breast diffusion-weighted imaging (DWI) has shown potential as a standalone imaging technique for certain indications, eg, supplemental screening of women with dense breasts. This study evaluates an artificial intelligence (AI)-powered computer-aided diagnosis (CAD) system for clinical interpretation and workload reduction in breast DWI.This retrospective IRB-approved study included: n = 824 examinations for model development (2017-2020) and n = 235 for evaluation (01/2021-06/2021). Readings were performed by three readers using either the AI-CAD or manual readings. BI-RADS-like (Breast Imaging Reporting and Data System) classification was based on DWI. Histopathology served as ground truth. The model was nnDetection-based, trained using 5-fold cross-validation and ensembling. Statistical significance was determined using McNemar’s test. Inter-rater agreement was calculated using Cohen’s kappa. Model performance was calculated using the area under the receiver operating curve (AUC).The AI-augmented approach significantly reduced BI-RADS-like 3 calls in breast DWI by 29% (P =.019) and increased interrater agreement (0.57 ± 0.10 vs 0.49 ± 0.11), while preserving diagnostic accuracy. Two of the three readers detected more malignant lesions (63/69 vs 59/69 and 64/69 vs 62/69) with the AI-CAD. The AI model achieved an AUC of 0.78 (95% CI: [0.72, 0.85]; P <.001), which increased for women at screening age to 0.82 (95% CI: [0.73, 0.90]; P <.001), indicating a potential for workload reduction of 20.9% at 96% sensitivity.Breast DWI might benefit from AI support. In our study, AI showed potential for reduction of BI-RADS-like 3 calls and increase of inter-rater agreement. However, given the limited study size, further research is needed. | ||
| 700 | 1 | |a Simons, Lina |e VerfasserIn |4 aut | |
| 700 | 1 | |a Baumgartner, Michael |d 1996- |e VerfasserIn |0 (DE-588)1338678140 |0 (DE-627)1898470472 |4 aut | |
| 700 | 1 | |a Ehring, Chris |e VerfasserIn |4 aut | |
| 700 | 1 | |a Neher, Peter |d 1984- |e VerfasserIn |0 (DE-588)1052246052 |0 (DE-627)788077287 |0 (DE-576)408004746 |4 aut | |
| 700 | 1 | |a Kapsner, Lorenz A |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kovács, Bálint |e VerfasserIn |0 (DE-588)1338677349 |0 (DE-627)1898468737 |4 aut | |
| 700 | 1 | |a Floca, Ralf |d 1978- |e VerfasserIn |0 (DE-588)140126007 |0 (DE-627)616036590 |0 (DE-576)314697284 |4 aut | |
| 700 | 1 | |a Jaeger, Paul F. |e VerfasserIn |0 (DE-588)1278497218 |0 (DE-627)1831414333 |4 aut | |
| 700 | 1 | |a Eberle, Jessica |e VerfasserIn |4 aut | |
| 700 | 1 | |a Hadler, Dominique |e VerfasserIn |4 aut | |
| 700 | 1 | |a Laun, Frederik B |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ohlmeyer, Sabine |e VerfasserIn |4 aut | |
| 700 | 1 | |a Maier-Hein, Lena |d 1980- |e VerfasserIn |0 (DE-588)1075029252 |0 (DE-627)832869899 |0 (DE-576)190090804 |4 aut | |
| 700 | 1 | |a Uder, Michael |e VerfasserIn |4 aut | |
| 700 | 1 | |a Wenkel, Evelyn |e VerfasserIn |4 aut | |
| 700 | 1 | |a Maier-Hein, Klaus H. |d 1980- |e VerfasserIn |0 (DE-588)1100551875 |0 (DE-627)85946461X |0 (DE-576)333771222 |4 aut | |
| 700 | 1 | |a Bickelhaupt, Sebastian |e VerfasserIn |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |a American Medical Informatics Association |t Journal of the American Medical Informatics Association |d Oxford : Oxford Univ. Press, 1994 |g 32(2025), 12 vom: Dez., Seite 1908-1915 |h Online-Ressource |w (DE-627)316003891 |w (DE-600)2018371-9 |w (DE-576)09408064X |x 1527-974X |7 nnas |
| 773 | 1 | 8 | |g volume:32 |g year:2025 |g number:12 |g month:12 |g pages:1908-1915 |g extent:8 |a Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload |
| 856 | 4 | 0 | |u https://doi.org/10.1093/jamia/ocaf156 |x Verlag |x Resolving-System |z lizenzpflichtig |3 Volltext |7 1 |
| 856 | 4 | 0 | |u https://academic.oup.com/jamia/article/32/12/1908/8262149?login=true |x Verlag |z lizenzpflichtig |3 Volltext |7 1 |
| 951 | |a AR | ||
| 992 | |a 20260203 | ||
| 993 | |a Article | ||
| 994 | |a 2025 | ||
| 998 | |g 1100551875 |a Maier-Hein, Klaus H. |m 1100551875:Maier-Hein, Klaus H. |d 910000 |d 911400 |e 910000PM1100551875 |e 911400PM1100551875 |k 0/910000/ |k 1/910000/911400/ |p 17 | ||
| 998 | |g 1075029252 |a Maier-Hein, Lena |m 1075029252:Maier-Hein, Lena |d 910000 |d 910200 |e 910000PM1075029252 |e 910200PM1075029252 |k 0/910000/ |k 1/910000/910200/ |p 14 | ||
| 998 | |g 140126007 |a Floca, Ralf |m 140126007:Floca, Ralf |d 50000 |e 50000PF140126007 |k 0/50000/ |p 8 | ||
| 998 | |g 1338677349 |a Kovács, Bálint |m 1338677349:Kovács, Bálint |d 50000 |e 50000PK1338677349 |k 0/50000/ |p 7 | ||
| 998 | |g 1052246052 |a Neher, Peter |m 1052246052:Neher, Peter |d 910000 |d 911400 |e 910000PN1052246052 |e 911400PN1052246052 |k 0/910000/ |k 1/910000/911400/ |p 5 | ||
| 998 | |g 1338678140 |a Baumgartner, Michael |m 1338678140:Baumgartner, Michael |d 110000 |e 110000PB1338678140 |k 0/110000/ |p 3 | ||
| 998 | |g 1364083434 |a Bounias, Dimitrios |m 1364083434:Bounias, Dimitrios |d 50000 |e 50000PB1364083434 |k 0/50000/ |p 1 |x j | ||
| 999 | |a KXP-PPN1950997561 |e 4874825370 | ||
| BIB | |a Y | ||
| SER | |a journal | ||
| JSO | |a {"relHost":[{"language":["eng"],"recId":"316003891","type":{"bibl":"periodical","media":"Online-Ressource"},"physDesc":[{"extent":"Online-Ressource"}],"part":{"extent":"8","pages":"1908-1915","year":"2025","issue":"12","text":"32(2025), 12 vom: Dez., Seite 1908-1915","volume":"32"},"titleAlt":[{"title":"JAMIA"}],"pubHistory":["1.1994 -"],"note":["Gesehen am 16.12.14","Fortsetzung der Druck-Ausgabe","Ungezählte Beil.: Suppl"],"id":{"eki":["316003891"],"zdb":["2018371-9"],"issn":["1527-974X"]},"disp":"American Medical Informatics AssociationJournal of the American Medical Informatics Association","origin":[{"dateIssuedKey":"1994","publisherPlace":"Oxford ; Philadelphia, Pa. ; New York, NY [u.a.] ; London","dateIssuedDisp":"1994-","publisher":"Oxford Univ. Press ; Hanley & Belfus ; Elsevier ; BMJ Publishing Group"}],"corporate":[{"role":"aut","display":"American Medical Informatics Association"}],"title":[{"subtitle":"JAMIA","title_sort":"Journal of the American Medical Informatics Association","title":"Journal of the American Medical Informatics Association"}]}],"title":[{"title_sort":"Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload","title":"Including AI in diffusion-weighted breast MRI has potential to increase reader confidence and reduce workload"}],"physDesc":[{"noteIll":"Illustrationen","extent":"8 S."}],"language":["eng"],"note":["Gesehen am 03.02.2026"],"person":[{"family":"Bounias","role":"aut","display":"Bounias, Dimitrios","given":"Dimitrios"},{"family":"Simons","role":"aut","display":"Simons, Lina","given":"Lina"},{"given":"Michael","role":"aut","family":"Baumgartner","display":"Baumgartner, Michael"},{"display":"Ehring, Chris","role":"aut","family":"Ehring","given":"Chris"},{"given":"Peter","display":"Neher, Peter","family":"Neher","role":"aut"},{"display":"Kapsner, Lorenz A","role":"aut","family":"Kapsner","given":"Lorenz A"},{"role":"aut","family":"Kovács","display":"Kovács, Bálint","given":"Bálint"},{"display":"Floca, Ralf","family":"Floca","role":"aut","given":"Ralf"},{"family":"Jaeger","role":"aut","display":"Jaeger, Paul F.","given":"Paul F."},{"given":"Jessica","display":"Eberle, Jessica","family":"Eberle","role":"aut"},{"display":"Hadler, Dominique","role":"aut","family":"Hadler","given":"Dominique"},{"role":"aut","family":"Laun","display":"Laun, Frederik B","given":"Frederik B"},{"display":"Ohlmeyer, Sabine","family":"Ohlmeyer","role":"aut","given":"Sabine"},{"role":"aut","family":"Maier-Hein","display":"Maier-Hein, Lena","given":"Lena"},{"role":"aut","family":"Uder","display":"Uder, Michael","given":"Michael"},{"family":"Wenkel","role":"aut","display":"Wenkel, Evelyn","given":"Evelyn"},{"given":"Klaus H.","display":"Maier-Hein, Klaus H.","family":"Maier-Hein","role":"aut"},{"given":"Sebastian","display":"Bickelhaupt, Sebastian","family":"Bickelhaupt","role":"aut"}],"type":{"bibl":"article-journal","media":"Online-Ressource"},"id":{"doi":["10.1093/jamia/ocaf156"],"eki":["1950997561"]},"recId":"1950997561","origin":[{"dateIssuedKey":"2025","dateIssuedDisp":"23 September 2025"}],"name":{"displayForm":["Dimitrios Bounias, MSc, Lina Simons, Michael Baumgartner, PhD, Chris Ehring, PhD, Peter Neher, PhD, Lorenz A Kapsner, MD, Balint Kovacs, MSc, Ralf Floca, PhD, Paul F Jaeger, PhD, Jessica Eberle, MD, Dominique Hadler, MD, Frederik B Laun, PhD, Sabine Ohlmeyer, MD, Lena Maier-Hein, PhD, Michael Uder, MD, Evelyn Wenkel, MD, Klaus H Maier-Hein, PhD, Sebastian Bickelhaupt, MD"]}} | ||
| SRT | |a BOUNIASDIMINCLUDINGA2320 | ||