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The added value of abbreviated MRI with UF DCE-MRI and DWI on digital breast tomosynthesis in diagnosing breast lesions

Ohashi, Akane LU ; Kataoka, Masako ; Honda, Maya ; Iima, Mami ; Urushibata, Yuta ; Nickel, Marcel Dominik ; Förnvik, Daniel LU and Nakamoto, Yuji (2024) 17th International Workshop on Breast Imaging, IWBI 2024 In Proceedings of SPIE - The International Society for Optical Engineering 13174.
Abstract

Digital breast tomosynthesis (DBT) has become a standard screening tool for breast cancer. However, its diagnostic performance is still limited compared to contrast-enhanced MRI, especially in women with dense breasts. Ultrafast dynamic contrast-enhanced (UF DCE) MRI and diffusion-weighted imaging (DWI) offer a shorter scanning time than conventional MRI and have shown promise in previous studies. However, few reports have explored the added value of UF DCE-MRI and DWI on DBT in diagnosing breast lesions. This study aimed to assess the diagnostic performance of abbreviated MRI using UF DCE-MRI and DWI compared to DBT. The study included 53 lesions in 42 women who underwent the UF DCE-MRI protocol and DBT within three months. Two... (More)

Digital breast tomosynthesis (DBT) has become a standard screening tool for breast cancer. However, its diagnostic performance is still limited compared to contrast-enhanced MRI, especially in women with dense breasts. Ultrafast dynamic contrast-enhanced (UF DCE) MRI and diffusion-weighted imaging (DWI) offer a shorter scanning time than conventional MRI and have shown promise in previous studies. However, few reports have explored the added value of UF DCE-MRI and DWI on DBT in diagnosing breast lesions. This study aimed to assess the diagnostic performance of abbreviated MRI using UF DCE-MRI and DWI compared to DBT. The study included 53 lesions in 42 women who underwent the UF DCE-MRI protocol and DBT within three months. Two radiologists recorded the BI-RADS category and breast composition assessment of tomosynthesis, as well as the MR parameters of each lesion (MS and ADC). In addition to the inter-rater agreements, diagnostic performance was evaluated with an area under the receiver operating curve (AUC). The results showed good to excellent agreement in the inter-rater assessment of the BI-RADS category and each parameter. The AUC of the DBT BI-RADS and UF DCE-MRI BI-RADS categories were 0.84 and 0.90, respectively. The predictive model using UF DCE-MRI BI-RADS in combination with ADC of DWI demonstrated an AUC of 0.95. In conclusion, abbreviated MRI using UF DCE-MRI and DWI may have the potential to add value to DBT diagnosis in breast lesions. Further research is needed to determine the role of abbreviated MRI in the diagnosis of breast lesions in a prospective screening setting.

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author
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organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
DBT, DWI, UF DCE-MRI
host publication
17th International Workshop on Breast Imaging, IWBI 2024
series title
Proceedings of SPIE - The International Society for Optical Engineering
editor
Giger, Maryellen L. ; Whitney, Heather M. ; Drukker, Karen and Li, Hui
volume
13174
article number
131741D
publisher
SPIE
conference name
17th International Workshop on Breast Imaging, IWBI 2024
conference location
Chicago, United States
conference dates
2024-06-09 - 2024-06-12
external identifiers
  • scopus:85195371364
ISSN
1996-756X
0277-786X
ISBN
9781510680203
DOI
10.1117/12.3026017
language
English
LU publication?
yes
id
71517955-a146-468a-9529-e10ccb81b5ba
date added to LUP
2024-09-30 10:16:11
date last changed
2024-10-28 14:23:33
@inproceedings{71517955-a146-468a-9529-e10ccb81b5ba,
  abstract     = {{<p>Digital breast tomosynthesis (DBT) has become a standard screening tool for breast cancer. However, its diagnostic performance is still limited compared to contrast-enhanced MRI, especially in women with dense breasts. Ultrafast dynamic contrast-enhanced (UF DCE) MRI and diffusion-weighted imaging (DWI) offer a shorter scanning time than conventional MRI and have shown promise in previous studies. However, few reports have explored the added value of UF DCE-MRI and DWI on DBT in diagnosing breast lesions. This study aimed to assess the diagnostic performance of abbreviated MRI using UF DCE-MRI and DWI compared to DBT. The study included 53 lesions in 42 women who underwent the UF DCE-MRI protocol and DBT within three months. Two radiologists recorded the BI-RADS category and breast composition assessment of tomosynthesis, as well as the MR parameters of each lesion (MS and ADC). In addition to the inter-rater agreements, diagnostic performance was evaluated with an area under the receiver operating curve (AUC). The results showed good to excellent agreement in the inter-rater assessment of the BI-RADS category and each parameter. The AUC of the DBT BI-RADS and UF DCE-MRI BI-RADS categories were 0.84 and 0.90, respectively. The predictive model using UF DCE-MRI BI-RADS in combination with ADC of DWI demonstrated an AUC of 0.95. In conclusion, abbreviated MRI using UF DCE-MRI and DWI may have the potential to add value to DBT diagnosis in breast lesions. Further research is needed to determine the role of abbreviated MRI in the diagnosis of breast lesions in a prospective screening setting.</p>}},
  author       = {{Ohashi, Akane and Kataoka, Masako and Honda, Maya and Iima, Mami and Urushibata, Yuta and Nickel, Marcel Dominik and Förnvik, Daniel and Nakamoto, Yuji}},
  booktitle    = {{17th International Workshop on Breast Imaging, IWBI 2024}},
  editor       = {{Giger, Maryellen L. and Whitney, Heather M. and Drukker, Karen and Li, Hui}},
  isbn         = {{9781510680203}},
  issn         = {{1996-756X}},
  keywords     = {{DBT; DWI; UF DCE-MRI}},
  language     = {{eng}},
  publisher    = {{SPIE}},
  series       = {{Proceedings of SPIE - The International Society for Optical Engineering}},
  title        = {{The added value of abbreviated MRI with UF DCE-MRI and DWI on digital breast tomosynthesis in diagnosing breast lesions}},
  url          = {{http://dx.doi.org/10.1117/12.3026017}},
  doi          = {{10.1117/12.3026017}},
  volume       = {{13174}},
  year         = {{2024}},
}