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Published in: European Radiology 2/2017

01-02-2017 | Breast

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

Published in: European Radiology | Issue 2/2017

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Abstract

Objectives

The aim of this study was to evaluate the accuracy and applicability of solitarily reading fused image series of T2-weighted and high-b-value diffusion-weighted sequences for lesion characterization as compared to sequential or combined image analysis of these unenhanced sequences and to contrast- enhanced breast MRI.

Methods

This IRB-approved study included 50 female participants with suspicious breast lesions detected in screening X-ray mammograms, all of which provided written informed consent. Prior to biopsy, all women underwent MRI including diffusion-weighted imaging (DWIBS, b = 1500s/mm2). Images were analyzed as follows: prospective image fusion of DWIBS and T2-weighted images (FU), side-by-side analysis of DWIBS and T2-weighted series (CO), combination of the first two methods (CO+FU), and full contrast-enhanced diagnostic protocol (FDP). Diagnostic indices, confidence, and image quality of the protocols were compared by two blinded readers.

Results

Reading the CO+FU (accuracy 0.92; NPV 96.1 %; PPV 87.6 %) and the CO series (0.90; 96.1 %; 83.7 %) provided a diagnostic performance similar to the FDP (0.95; 96.1 %; 91.3 %; p > 0.05). FU reading alone significantly reduced the diagnostic accuracy (0.82; 93.3 %; 73.4 %; p = 0.023).

Conclusions

MR evaluation of suspicious BI-RADS 4 and 5 lesions detected on mammography by using a non-contrast-enhanced T2-weighted and DWIBS sequence protocol is most accurate if MR images were read using the CO+FU protocol.

Key Points

Unenhanced breast MRI with additional DWIBS/T2w-image fusion allows reliable lesion characterization.
Abbreviated reading of fused DWIBS/T2w-images alone decreases diagnostic confidence and accuracy.
Reading fused DWIBS/T2w-images as the sole diagnostic method should be avoided.
Literature
1.
go back to reference Thomassin-Naggara I, De Bazelaire C, Chopier J, Bazot M, Marsault C, Trop I (2013) Diffusion-weighted MR imaging of the breast: advantages and pitfalls. Eur J Radiol 82:435–443CrossRefPubMed Thomassin-Naggara I, De Bazelaire C, Chopier J, Bazot M, Marsault C, Trop I (2013) Diffusion-weighted MR imaging of the breast: advantages and pitfalls. Eur J Radiol 82:435–443CrossRefPubMed
2.
go back to reference Cipolla V, Santucci D, Guerrieri D, Drudi FM, Meggiorini ML, de Felice C (2014) Correlation between 3T apparent diffusion coefficient values and grading of invasive breast carcinoma. Eur J Radiol 83:2144–2150CrossRefPubMed Cipolla V, Santucci D, Guerrieri D, Drudi FM, Meggiorini ML, de Felice C (2014) Correlation between 3T apparent diffusion coefficient values and grading of invasive breast carcinoma. Eur J Radiol 83:2144–2150CrossRefPubMed
3.
go back to reference Choi S, Chang Y, Park H, Kim H, Hong S, Seo D (2012) Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. Br J Radiol 85:e474–e479CrossRefPubMedPubMedCentral Choi S, Chang Y, Park H, Kim H, Hong S, Seo D (2012) Correlation of the apparent diffusion coefficiency values on diffusion-weighted imaging with prognostic factors for breast cancer. Br J Radiol 85:e474–e479CrossRefPubMedPubMedCentral
4.
go back to reference Stadlbauer A, Bernt R, Gruber S et al (2009) Diffusion-weighted MR imaging with background body signal suppression (DWIBS) for the diagnosis of malignant and benign breast lesions. Eur Radiol 19:2349–2356CrossRefPubMed Stadlbauer A, Bernt R, Gruber S et al (2009) Diffusion-weighted MR imaging with background body signal suppression (DWIBS) for the diagnosis of malignant and benign breast lesions. Eur Radiol 19:2349–2356CrossRefPubMed
5.
go back to reference Kuhl CK, Schrading S, Strobel K, Schild HH, Hilgers R-D, Bieling HB (2014) Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection—a novel approach to breast cancer screening with MRI. J Clin Oncol 32:2304–2310CrossRefPubMed Kuhl CK, Schrading S, Strobel K, Schild HH, Hilgers R-D, Bieling HB (2014) Abbreviated breast magnetic resonance imaging (MRI): first postcontrast subtracted images and maximum-intensity projection—a novel approach to breast cancer screening with MRI. J Clin Oncol 32:2304–2310CrossRefPubMed
6.
go back to reference Kuhl CK (2006) MR Imaging for surveillance of women at high familial risk for breast cancer. Magn Reson Imaging Clin N Am 14:391–402CrossRefPubMed Kuhl CK (2006) MR Imaging for surveillance of women at high familial risk for breast cancer. Magn Reson Imaging Clin N Am 14:391–402CrossRefPubMed
7.
go back to reference Takahara T, Imai Y, Yamashita T, Yasuda S, Nasu S, Van Cauteren M (2004) Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med 22:275–282PubMed Takahara T, Imai Y, Yamashita T, Yasuda S, Nasu S, Van Cauteren M (2004) Diffusion weighted whole body imaging with background body signal suppression (DWIBS): technical improvement using free breathing, STIR and high resolution 3D display. Radiat Med 22:275–282PubMed
8.
go back to reference Fathi Kazerooni A, Mohseni M, Rezaei S, Bakhshandehpour G, Saligheh Rad H (2014) Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme. Magn Reson Mater Phys Biol Med. doi:10.1007/s10334-014-0442-7:1-10 Fathi Kazerooni A, Mohseni M, Rezaei S, Bakhshandehpour G, Saligheh Rad H (2014) Multi-parametric (ADC/PWI/T2-w) image fusion approach for accurate semi-automatic segmentation of tumorous regions in glioblastoma multiforme. Magn Reson Mater Phys Biol Med. doi:10.​1007/​s10334-014-0442-7:​1-10
9.
go back to reference Mir N, Sohaib SA, Collins D, Koh DM (2010) Technical article: fusion of high b-value diffusion-weighted and T2-weighted MR images improves identification of lymph nodes in the pelvis. J Med Imaging Radiat Oncol 54:358–364CrossRefPubMed Mir N, Sohaib SA, Collins D, Koh DM (2010) Technical article: fusion of high b-value diffusion-weighted and T2-weighted MR images improves identification of lymph nodes in the pelvis. J Med Imaging Radiat Oncol 54:358–364CrossRefPubMed
10.
go back to reference Park JJ, Kim CK, Park SY, Park BK (2014) Parametrial invasion in cervical cancer: fused T2-weighted imaging and high-b-value diffusion-weighted imaging with background body signal suppression at 3 T. Radiology. doi:10.1148/radiol.14140920:140920 Park JJ, Kim CK, Park SY, Park BK (2014) Parametrial invasion in cervical cancer: fused T2-weighted imaging and high-b-value diffusion-weighted imaging with background body signal suppression at 3 T. Radiology. doi:10.​1148/​radiol.​14140920:​140920
11.
go back to reference Telegrafo M, Rella L, Stabile Ianora AA, Angelelli G, Moschetta M (2015) Unenhanced breast MRI (STIR, T2-weighted TSE, DWIBS): an accurate and alternative strategy for detecting and differentiating breast lesions. Magn Reson Imaging 33:951–955CrossRefPubMed Telegrafo M, Rella L, Stabile Ianora AA, Angelelli G, Moschetta M (2015) Unenhanced breast MRI (STIR, T2-weighted TSE, DWIBS): an accurate and alternative strategy for detecting and differentiating breast lesions. Magn Reson Imaging 33:951–955CrossRefPubMed
12.
go back to reference Trimboli RM, Verardi N, Cartia F, Carbonaro LA, Sardanelli F (2014) Breast cancer detection using double reading of unenhanced MRI Including T1-weighted, T2-weighted STIR, and diffusion-weighted imaging: a proof of concept study. Am J Roentgenol 203:674–681CrossRef Trimboli RM, Verardi N, Cartia F, Carbonaro LA, Sardanelli F (2014) Breast cancer detection using double reading of unenhanced MRI Including T1-weighted, T2-weighted STIR, and diffusion-weighted imaging: a proof of concept study. Am J Roentgenol 203:674–681CrossRef
13.
go back to reference McDonald ES, Hammersley JA, Chou SS et al (2016) Performance of DWI as a rapid unenhanced technique for detecting mammographically occult breast cancer in elevated-risk women with dense breasts. AJR Am J Roentgenol 14:W1–W12 McDonald ES, Hammersley JA, Chou SS et al (2016) Performance of DWI as a rapid unenhanced technique for detecting mammographically occult breast cancer in elevated-risk women with dense breasts. AJR Am J Roentgenol 14:W1–W12
14.
15.
go back to reference Bickelhaupt S, Laun FB, Tesdorff J, Lederer W, Daniel H, Stieber A, Delorme S, Schlemmer HP (2016) Fast and noninvasive characterization of suspicious lesions detected at breast cancer x-ray screening: capability of diffusion-weighted MR imaging with MIPs. Radiology 278(3):689–697 Bickelhaupt S, Laun FB, Tesdorff J, Lederer W, Daniel H, Stieber A, Delorme S, Schlemmer HP (2016) Fast and noninvasive characterization of suspicious lesions detected at breast cancer x-ray screening: capability of diffusion-weighted MR imaging with MIPs. Radiology 278(3):689–697
16.
go back to reference Morsbach F, Bickelhaupt S, Wanner GA, Krauss A, Schmidt B, Alkadhi H (2013) Reduction of metal artifacts from hip prostheses on CT images of the pelvis: value of iterative reconstructions. Radiology 268:237–244CrossRefPubMed Morsbach F, Bickelhaupt S, Wanner GA, Krauss A, Schmidt B, Alkadhi H (2013) Reduction of metal artifacts from hip prostheses on CT images of the pelvis: value of iterative reconstructions. Radiology 268:237–244CrossRefPubMed
17.
go back to reference Yiang Y, Metz CE (2010) BI-RADS data should not be used to estimate ROC curves. Radiology 256:29–31CrossRef Yiang Y, Metz CE (2010) BI-RADS data should not be used to estimate ROC curves. Radiology 256:29–31CrossRef
18.
go back to reference Nechifor-Boila IA, Bancu S, Buruian M et al (2013) Diffusion weighted imaging with background body signal suppression / T2 image fusion in magnetic resonance mammography for breast cancer diagnosis. Chirur (Bucur) 108:199–205 Nechifor-Boila IA, Bancu S, Buruian M et al (2013) Diffusion weighted imaging with background body signal suppression / T2 image fusion in magnetic resonance mammography for breast cancer diagnosis. Chirur (Bucur) 108:199–205
19.
go back to reference Golatta M, Schweitzer-Martin M, Harcos A et al (2014) Evaluation of virtual touch tissue imaging quantification, a new shear wave velocity imaging method, for breast lesion assessment by ultrasound. Biomed Res Int 960262:31 Golatta M, Schweitzer-Martin M, Harcos A et al (2014) Evaluation of virtual touch tissue imaging quantification, a new shear wave velocity imaging method, for breast lesion assessment by ultrasound. Biomed Res Int 960262:31
20.
go back to reference Molinari C, Clauser P, Girometti R et al (2015) MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index. Radiol Med 120:911–918CrossRefPubMed Molinari C, Clauser P, Girometti R et al (2015) MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index. Radiol Med 120:911–918CrossRefPubMed
Metadata
Title
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
Publication date
01-02-2017
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 2/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-016-4400-9

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