Literature DB >> 26418516

Fast and Noninvasive Characterization of Suspicious Lesions Detected at Breast Cancer X-Ray Screening: Capability of Diffusion-weighted MR Imaging with MIPs.

Sebastian Bickelhaupt1, Frederik B Laun1, Jana Tesdorff1, Wolfgang Lederer1, Heidi Daniel1, Anne Stieber1, Stefan Delorme1, Heinz-Peter Schlemmer1.   

Abstract

PURPOSE: To evaluate the ability of a diagnostic abbreviated magnetic resonance (MR) imaging protocol consisting of maximum intensity projections (MIPs) from diffusion-weighted imaging with background suppression (DWIBS) and unenhanced morphologic sequences to help predict the likelihood of malignancy on suspicious screening x-ray mammograms, as compared with an abbreviated contrast material-enhanced MR imaging protocol and a full diagnostic breast MR imaging protocol.
MATERIALS AND METHODS: This prospective institutional review board-approved study included 50 women (mean age, 57.1 years; range, 50-69 years), who gave informed consent and who had suspicious screening mammograms and an indication for biopsy, from September 2014 to January 2015. Before biopsy, full diagnostic contrast-enhanced MR imaging was performed that included DWIBS (b = 1500 sec/mm(2)). Two abbreviated protocols (APs) based on MIPs were evaluated regarding the potential to exclude malignancy: DWIBS (AP1) and subtraction images from the first postcontrast and the unenhanced series (AP2). Diagnostic indexes of both methods were examined by using the McNemar test and were compared with those of the full diagnostic protocol and histopathologic findings.
RESULTS: Twenty-four of 50 participants had a breast carcinoma. With AP1 (DWIBS), the sensitivity was 0.92 (95% confidence interval [CI]: 0.73, 0.98), the specificity was 0.94 (95% CI: 0.77, 0.99), the negative predictive value (NPV) was 0.92 (95% CI: 0.75, 0.99), and the positive predictive value (PPV) was 0.93 (95% CI: 0.75, 0.99). The mean reading time was 29.7 seconds (range, 4.9-110.0 seconds) and was less than 3 seconds (range, 1.2-7.6 seconds) in the absence of suspicious findings on the DWIBS MIPs. With the AP2 protocol, the sensitivity was 0.85 (95% CI: 0.78, 0.95), the specificity was 0.90 (95% CI: 0.72, 0.97), the NPV was 0.87 (95% CI: 0.69, 0.95), the PPV was 0.89 (95% CI: 0.69, 0.97), and the mean reading time was 29.6 seconds (range, 6.0-100.0 seconds).
CONCLUSION: Unenhanced diagnostic MR imaging (DWIBS mammography), with an NPV of 0.92 and an acquisition time of less than 7 minutes, could help exclude malignancy in women with suspicious x-ray screening mammograms. The method has the potential to reduce unnecessary invasive procedures and emotional distress for breast cancer screening participants if it is used as a complement after the regular screening clarification procedure.

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Year:  2015        PMID: 26418516     DOI: 10.1148/radiol.2015150425

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  33 in total

1.  Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.

Authors:  Katja Pinker; Linda Moy; Elizabeth J Sutton; Ritse M Mann; Michael Weber; Sunitha B Thakur; Maxine S Jochelson; Zsuzsanna Bago-Horvath; Elizabeth A Morris; Pascal At Baltzer; Thomas H Helbich
Journal:  Invest Radiol       Date:  2018-10       Impact factor: 6.016

2.  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

Review 3.  Abbreviated MR Imaging for Breast Cancer.

Authors:  Laura Heacock; Alana A Lewin; Hildegard K Toth; Linda Moy; Beatriu Reig
Journal:  Radiol Clin North Am       Date:  2020-11-02       Impact factor: 2.303

4.  Comparison of detectability of breast cancer by abbreviated breast MRI based on diffusion-weighted images and postcontrast MRI.

Authors:  Takayuki Yamada; Yoshihide Kanemaki; Satoko Okamoto; Yasuo Nakajima
Journal:  Jpn J Radiol       Date:  2018-03-26       Impact factor: 2.374

5.  Should abbreviated breast MRI be compliant with American College of Radiology requirements for MRI accreditation?

Authors:  Marion E Scoggins; Banu K Arun; Rosalind P Candelaria; Mark J Dryden; Wei Wei; Jong Bum Son; Jingfei Ma; Basak E Dogan
Journal:  Magn Reson Imaging       Date:  2020-07-02       Impact factor: 2.546

6.  Diffusional kurtosis imaging for differentiation of additional suspicious lesions on preoperative breast MRI of patients with known breast cancer.

Authors:  Vivian Youngjean Park; Sungheon G Kim; Eun-Kyung Kim; Hee Jung Moon; Jung Hyun Yoon; Min Jung Kim
Journal:  Magn Reson Imaging       Date:  2019-07-16       Impact factor: 2.546

7.  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

Review 8.  Diffusion-weighted breast MRI: Clinical applications and emerging techniques.

Authors:  Savannah C Partridge; Noam Nissan; Habib Rahbar; Averi E Kitsch; Eric E Sigmund
Journal:  J Magn Reson Imaging       Date:  2016-09-30       Impact factor: 4.813

9.  Independent value of image fusion in unenhanced breast MRI using diffusion-weighted and morphological T2-weighted images for lesion characterization in patients with recently detected BI-RADS 4/5 x-ray mammography findings.

Authors:  Sebastian Bickelhaupt; Jana Tesdorff; Frederik Bernd Laun; Tristan Anselm Kuder; Wolfgang Lederer; Susanne Teiner; Klaus Maier-Hein; Heidi Daniel; Anne Stieber; Stefan Delorme; Heinz-Peter Schlemmer
Journal:  Eur Radiol       Date:  2016-05-18       Impact factor: 5.315

Review 10.  [Selected clinically established and scientific techniques of diffusion-weighted MRI. In the context of imaging in oncology].

Authors:  M T Freitag; S Bickelhaupt; C Ziener; K Meier-Hein; J P Radtke; J Mosebach; T-A Kuder; H-P Schlemmer; F B Laun
Journal:  Radiologe       Date:  2016-02       Impact factor: 0.635

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