Literature DB >> 28577079

Unenhanced magnetic resonance screening using fused diffusion-weighted imaging and maximum-intensity projection in patients with a personal history of breast cancer: role of fused DWI for postoperative screening.

Ji Won Kang1, Hee Jung Shin2, Ki Chang Shin1, Eun Young Chae1, Woo Jung Choi1, Joo Hee Cha1, Hak Hee Kim1.   

Abstract

PURPOSE: To assess the diagnostic performance of unenhanced abbreviated protocol (AP) comprising fused diffusion-weighted imaging (DWI) using T1-weighted imaging (T1WI) with DWI maximum-intensity projections (DWI MIPs) for screening patients with a personal history of breast cancer (PHBC).
METHODS: This institutional review board-approved retrospective observational study included 343 patients with PHBC who underwent 3T breast magnetic resonance imaging (MRI) between November 2013 and September 2015. Three breast radiologists reviewed the DWI MIPs of the AP to identify lesions, and the remaining axial AP images to characterize the detected lesions and establish the breast imaging reporting and data system final assessment. The conventional protocol (CP) images were also evaluated in the same way. The decision-making times were recorded.
RESULTS: MRI acquisition time was approximately 5 min for AP. The mean times to read MIPs and remaining images were shorter in AP than in CP (5.5 and 22.1 s vs. 7.8 and 29.6 s). On DWI MIPs, the readers detected 9, 8, and 9 of 9 pathologically proven cancers, with negative predictive values (NPVs) of 100.0, 99.6, and 100.0%. Complete AP showed sensitivities of 88.9, 100.0, and 88.9% and specificities of 94.8, 93.4, and 95.1%. Complete CP showed sensitivities of 100.0, 100.0, and 88.9% and specificities of 93.4, 94.0, and 96.3%.
CONCLUSIONS: An unenhanced AP had a short acquisition time of 5 min, and DWI MIPs showed NPVs greater than 99% across readers. The diagnostic performance of complete AP was equivalent to that of CP for screening patients with PHBC.

Entities:  

Keywords:  Breast neoplasm; Diffusion-weighted imaging; Magnetic resonance imaging

Mesh:

Substances:

Year:  2017        PMID: 28577079     DOI: 10.1007/s10549-017-4322-5

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  10 in total

1.  Diffusion-weighted breast imaging.

Authors:  K Deike-Hofmann; T Kuder; F König; D Paech; C Dreher; S Delorme; H-P Schlemmer; S Bickelhaupt
Journal:  Radiologe       Date:  2018-11       Impact factor: 0.635

2.  Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

Authors:  Nita Amornsiripanitch; Sebastian Bickelhaupt; Hee Jung Shin; Madeline Dang; Habib Rahbar; Katja Pinker; Savannah C Partridge
Journal:  Radiology       Date:  2019-10-08       Impact factor: 11.105

3.  Diffusion-weighted imaging of breast invasive lobular carcinoma: comparison with invasive carcinoma of no special type using a histogram analysis.

Authors:  Seongkyun Jeong; Tae Hee Kim
Journal:  Quant Imaging Med Surg       Date:  2022-01

4.  Diffusion-Weighted Magnetic Resonance Imaging for Breast Cancer Screening in High-Risk Women: Design and Imaging Protocol of a Prospective Multicenter Study in Korea.

Authors:  Hee Jung Shin; Su Hyun Lee; Vivian Youngjean Park; Jung Hyun Yoon; Bong Joo Kang; Bo La Yun; Tae Hee Kim; Eun Sook Ko; Boo Kyung Han; A Jung Chu; Seo Young Park; Hak Hee Kim; Woo Kyung Moon
Journal:  J Breast Cancer       Date:  2021-04       Impact factor: 3.588

Review 5.  Abbreviated magnetic resonance imaging in breast cancer: A systematic review of literature.

Authors:  María Liliana Hernández; Santiago Osorio; Katherine Florez; Alejandra Ospino; Gloria M Díaz
Journal:  Eur J Radiol Open       Date:  2020-12-17

Review 6.  Diffusion-Weighted Magnetic Resonance Imaging of the Breast: Standardization of Image Acquisition and Interpretation.

Authors:  Su Hyun Lee; Hee Jung Shin; Woo Kyung Moon
Journal:  Korean J Radiol       Date:  2020-08-28       Impact factor: 3.500

Review 7.  Diffusion Breast MRI: Current Standard and Emerging Techniques.

Authors:  Ashley M Mendez; Lauren K Fang; Claire H Meriwether; Summer J Batasin; Stéphane Loubrie; Ana E Rodríguez-Soto; Rebecca A Rakow-Penner
Journal:  Front Oncol       Date:  2022-07-08       Impact factor: 5.738

Review 8.  [Diffusion-Weighted Imaging as a Stand-Alone Breast Imaging Modality].

Authors:  Hee Jung Shin; Su Hyun Lee; Woo Kyung Moon
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-01-31

9.  Performance of abbreviated protocols versus unenhanced MRI in detecting occult breast lesions of mammography in patients with dense breasts.

Authors:  Peipei Chen; Guangrui Shao; Baijie Li; Huikun Zhang; Juan Xiao; Suhong Zhao
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

10.  Image quality and diagnostic value of diffusion-weighted breast magnetic resonance imaging: Comparison of acquired and computed images.

Authors:  Hye Shin Ahn; Sung Hun Kim; Ji Youn Kim; Chang Suk Park; Robert Grimm; Yohan Son
Journal:  PLoS One       Date:  2021-02-22       Impact factor: 3.240

  10 in total

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