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Portrait of Sophia Zackrisson. Photo

Sophia Zackrisson

Research group manager, Principal investigator, Professor, MD

Portrait of Sophia Zackrisson. Photo

Comparison of Ultrafast Dynamic Contrast-Enhanced (DCE) MRI with Conventional DCE MRI in the Morphological Assessment of Malignant Breast Lesions

Author

  • Akane Ohashi
  • Masako Kataoka
  • Mami Iima
  • Maya Honda
  • Rie Ota
  • Yuta Urushibata
  • Marcel Dominik Nickel
  • Masakazu Toi
  • Sophia Zackrisson
  • Yuji Nakamoto

Summary, in English

Ultrafast (UF) dynamic contrast-enhanced (DCE)-MRI offers the potential for a faster and, therefore, less expensive examination of breast lesions; however, there are no reports that have evaluated whether UF DCE-MRI can be used the same as conventional DCE-MRI in the reading of morphological information. This study evaluated the agreement in morphological information obtained from malignant breast mass lesions between UF DCE-MRI and conventional DCE-MRI. UF DCE-MRI data were obtained over the first 60 s post-contrast injection, followed by the conventional DCE images. Two readers evaluated the size and morphology of the lesions in the final phase of the UF DCE-MRI and the early phase of the conventional DCE-MRI. Inter-method agreement in morphological information was evaluated for the two readers using the intraclass correlation coefficient for size, and the kappa statistics for the morphological descriptors. Differences in the proportion of each descriptor were examined using Fisher’s test of independence. Most inter-method agreements were higher than substantial. UF DCE-MRI showed a circumscribed margin and homogeneous enhancement more often than conventional imaging. However, the percentages of readings showing the same morphology assessment between the UF DCE-MRI and conventional DCE-MRI were 71.2% (136/191) for Reader 1 and 69.1% (132/191) for Reader 2. We conclude that UF DCE-MRI may replace conventional DCE-MRI to evaluate the morphological information of malignant breast mass lesions.

Department/s

  • LUCC: Lund University Cancer Centre
  • Radiology Diagnostics, Malmö
  • LU Profile Area: Light and Materials
  • LTH Profile Area: Photon Science and Technology
  • EpiHealth: Epidemiology for Health

Publishing year

2023

Language

English

Publication/Series

Diagnostics

Volume

13

Issue

6

Document type

Journal article

Publisher

MDPI AG

Topic

  • Medical Image Processing

Keywords

  • breast MRI
  • morphology
  • ultrafast DCE-MRI

Status

Published

Research group

  • Radiology Diagnostics, Malmö

ISBN/ISSN/Other

  • ISSN: 2075-4418