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Published in: European Radiology 10/2022

04-05-2022 | Breast

A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice

Authors: Roberto Lo Gullo, Varadan Sevilimedu, Pascal Baltzer, Denis Le Bihan, Julia Camps-Herrero, Paola Clauser, Fiona J. Gilbert, Mami Iima, Ritse M. Mann, Savannah C. Partridge, Andrew Patterson, Eric E. Sigmund, Sunitha Thakur, Fabienne E. Thibault, Laura Martincich, Katja Pinker, on behalf of the EUSOBI International Breast Diffusion-Weighted Imaging working group

Published in: European Radiology | Issue 10/2022

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Abstract

Objectives

To perform a survey among all European Society of Breast Imaging (EUSOBI) radiologist members to gather representative data regarding the clinical use of breast DWI.

Methods

An online questionnaire was developed by two board-certified radiologists, reviewed by the EUSOBI board and committees, and finally distributed among EUSOBI active and associated (not based in Europe) radiologist members. The questionnaire included 20 questions pertaining to technical preferences (acquisition time, magnet strength, breast coils, number of b values), clinical indications, imaging evaluation, and reporting. Data were analyzed using descriptive statistics, the Chi-square test of independence, and Fisher’s exact test.

Results

Of 1411 EUSOBI radiologist members, 275/1411 (19.5%) responded. Most (222/275, 81%) reported using DWI as part of their routine protocol. Common indications for DWI include lesion characterization (using an ADC threshold of 1.2–1.3 × 10−3 mm2/s) and prediction of response to chemotherapy. Members most commonly acquire two separate b values (114/217, 53%), with b value = 800 s/mm2 being the preferred value for appraisal among those acquiring more than two b values (71/171, 42%). Most did not use synthetic b values (169/217, 78%). While most mention hindered diffusion in the MRI report (161/213, 76%), only 142/217 (57%) report ADC values.

Conclusion

The utilization of DWI in clinical practice among EUSOBI radiologists who responded to the survey is generally in line with international recommendations, with the main application being the differentiation of benign and malignant enhancing lesions, treatment response assessment, and prediction of response to chemotherapy. Report integration of qualitative and quantitative DWI data is not uniform.

Key Points

• Clinical performance of breast DWI is in good agreement with the current recommendations of the EUSOBI International Breast DWI working group.
• Breast DWI applications in clinical practice include the differentiation of benign and malignant enhancing, treatment response assessment, and prediction of response to chemotherapy.
• Report integration of DWI results is not uniform.
Appendix
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Literature
2.
go back to reference Pinker K, Bickel H, Helbich TH et al (2013) Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions. Eur Radiol 23:1791–1802PubMedCrossRef Pinker K, Bickel H, Helbich TH et al (2013) Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions. Eur Radiol 23:1791–1802PubMedCrossRef
3.
go back to reference Rahbar H, Zhang Z, Chenevert TL et al (2019) Utility of diffusion-weighted imaging to decrease unnecessary biopsies prompted by breast MRI: a trial of the ECOG-ACRIN Cancer Research Group (A6702). Clin Cancer Res 25:1756–1765PubMedPubMedCentralCrossRef Rahbar H, Zhang Z, Chenevert TL et al (2019) Utility of diffusion-weighted imaging to decrease unnecessary biopsies prompted by breast MRI: a trial of the ECOG-ACRIN Cancer Research Group (A6702). Clin Cancer Res 25:1756–1765PubMedPubMedCentralCrossRef
4.
go back to reference Spick C, Pinker-Domenig K, Rudas M, Helbich TH, Baltzer PA (2014) MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies. Eur Radiol 24:1204–1210PubMedCrossRef Spick C, Pinker-Domenig K, Rudas M, Helbich TH, Baltzer PA (2014) MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies. Eur Radiol 24:1204–1210PubMedCrossRef
5.
go back to reference Baltzer A, Dietzel M, Kaiser CG, Baltzer PA (2016) Combined reading of contrast enhanced and diffusion weighted magnetic resonance imaging by using a simple sum score. Eur Radiol 26:884–891PubMedCrossRef Baltzer A, Dietzel M, Kaiser CG, Baltzer PA (2016) Combined reading of contrast enhanced and diffusion weighted magnetic resonance imaging by using a simple sum score. Eur Radiol 26:884–891PubMedCrossRef
6.
go back to reference Woodhams R, Matsunaga K, Iwabuchi K et al (2005) Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr 29:644–649PubMedCrossRef Woodhams R, Matsunaga K, Iwabuchi K et al (2005) Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension. J Comput Assist Tomogr 29:644–649PubMedCrossRef
7.
go back to reference Woodhams R, Matsunaga K, Kan S et al (2005) ADC mapping of benign and malignant breast tumors. Magn Reson Med Sci 4:35–42PubMedCrossRef Woodhams R, Matsunaga K, Kan S et al (2005) ADC mapping of benign and malignant breast tumors. Magn Reson Med Sci 4:35–42PubMedCrossRef
8.
go back to reference Rubesova E, Grell AS, De Maertelaer V, Metens T, Chao SL, Lemort M (2006) Quantitative diffusion imaging in breast cancer: a clinical prospective study. J Magn Reson Imaging 24:319–324PubMedCrossRef Rubesova E, Grell AS, De Maertelaer V, Metens T, Chao SL, Lemort M (2006) Quantitative diffusion imaging in breast cancer: a clinical prospective study. J Magn Reson Imaging 24:319–324PubMedCrossRef
9.
go back to reference Wenkel E, Geppert C, Schulz-Wendtland R et al (2007) Diffusion weighted imaging in breast MRI: comparison of two different pulse sequences. Acad Radiol 14:1077–1083PubMedCrossRef Wenkel E, Geppert C, Schulz-Wendtland R et al (2007) Diffusion weighted imaging in breast MRI: comparison of two different pulse sequences. Acad Radiol 14:1077–1083PubMedCrossRef
10.
go back to reference Baltzer PA, Renz DM, Herrmann KH et al (2009) Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques. Eur Radiol 19:1612–1620PubMedCrossRef Baltzer PA, Renz DM, Herrmann KH et al (2009) Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques. Eur Radiol 19:1612–1620PubMedCrossRef
11.
go back to reference Partridge SC, DeMartini WB, Kurland BF, Eby PR, White SW, Lehman CD (2009) Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value. AJR Am J Roentgenol 193:1716–1722PubMedCrossRef Partridge SC, DeMartini WB, Kurland BF, Eby PR, White SW, Lehman CD (2009) Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value. AJR Am J Roentgenol 193:1716–1722PubMedCrossRef
12.
go back to reference Chen X, Li WL, Zhang YL, Wu Q, Guo YM, Bai ZL (2010) Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions. BMC Cancer 10:693PubMedPubMedCentralCrossRef Chen X, Li WL, Zhang YL, Wu Q, Guo YM, Bai ZL (2010) Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions. BMC Cancer 10:693PubMedPubMedCentralCrossRef
13.
go back to reference Dorrius MD, Dijkstra H, Oudkerk M, Sijens PE (2014) Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis. Eur Radiol 24:2835–2847PubMedCrossRef Dorrius MD, Dijkstra H, Oudkerk M, Sijens PE (2014) Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis. Eur Radiol 24:2835–2847PubMedCrossRef
14.
go back to reference Shi RY, Yao QY, Wu LM, Xu JR (2018) Breast lesions: diagnosis using diffusion weighted imaging at 1.5T and 3.0T-systematic review and meta-analysis. Clin Breast Cancer 18:e305–e320PubMedCrossRef Shi RY, Yao QY, Wu LM, Xu JR (2018) Breast lesions: diagnosis using diffusion weighted imaging at 1.5T and 3.0T-systematic review and meta-analysis. Clin Breast Cancer 18:e305–e320PubMedCrossRef
15.
go back to reference Iima M, Kataoka M, Kanao S et al (2018) Intravoxel incoherent motion and quantitative non-Gaussian diffusion MR imaging: evaluation of the diagnostic and prognostic value of several markers of malignant and benign breast lesions. Radiology 287:432–441PubMedCrossRef Iima M, Kataoka M, Kanao S et al (2018) Intravoxel incoherent motion and quantitative non-Gaussian diffusion MR imaging: evaluation of the diagnostic and prognostic value of several markers of malignant and benign breast lesions. Radiology 287:432–441PubMedCrossRef
16.
go back to reference Iima M, Yano K, Kataoka M et al (2015) Quantitative non-Gaussian diffusion and intravoxel incoherent motion magnetic resonance imaging: differentiation of malignant and benign breast lesions. Invest Radiol 50:205–211PubMedCrossRef Iima M, Yano K, Kataoka M et al (2015) Quantitative non-Gaussian diffusion and intravoxel incoherent motion magnetic resonance imaging: differentiation of malignant and benign breast lesions. Invest Radiol 50:205–211PubMedCrossRef
17.
go back to reference Pickles MD, Gibbs P, Lowry M, Turnbull LW (2006) Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging 24:843–847PubMedCrossRef Pickles MD, Gibbs P, Lowry M, Turnbull LW (2006) Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging 24:843–847PubMedCrossRef
18.
go back to reference Richard R, Thomassin I, Chapellier M et al (2013) Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radiol 23:2420–2431PubMedCrossRef Richard R, Thomassin I, Chapellier M et al (2013) Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Eur Radiol 23:2420–2431PubMedCrossRef
19.
go back to reference Galbán CJ, Ma B, Malyarenko D et al (2015) Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy. PLoS One 10:e0122151PubMedPubMedCentralCrossRef Galbán CJ, Ma B, Malyarenko D et al (2015) Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy. PLoS One 10:e0122151PubMedPubMedCentralCrossRef
20.
go back to reference Li X, Abramson RG, Arlinghaus LR et al (2015) Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer. Invest Radiol 50:195–204PubMedPubMedCentralCrossRef Li X, Abramson RG, Arlinghaus LR et al (2015) Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer. Invest Radiol 50:195–204PubMedPubMedCentralCrossRef
21.
go back to reference Leong KM, Lau P, Ramadan S (2015) Utilisation of MR spectroscopy and diffusion weighted imaging in predicting and monitoring of breast cancer response to chemotherapy. J Med Imaging Radiat Oncol 59:268–277PubMedCrossRef Leong KM, Lau P, Ramadan S (2015) Utilisation of MR spectroscopy and diffusion weighted imaging in predicting and monitoring of breast cancer response to chemotherapy. J Med Imaging Radiat Oncol 59:268–277PubMedCrossRef
22.
go back to reference Partridge SC, Zhang Z, Newitt DC et al (2018) Diffusion-weighted MRI findings predict pathologic response in neoadjuvant treatment of breast cancer: The ACRIN 6698 Multicenter Trial. Radiology 289:618–627PubMedCrossRef Partridge SC, Zhang Z, Newitt DC et al (2018) Diffusion-weighted MRI findings predict pathologic response in neoadjuvant treatment of breast cancer: The ACRIN 6698 Multicenter Trial. Radiology 289:618–627PubMedCrossRef
23.
go back to reference Newitt DC, Zhang Z, Gibbs JE et al (2019) Test-retest repeatability and reproducibility of ADC measures by breast DWI: results from the ACRIN 6698 trial. J Magn Reson Imaging 49:1617–1628PubMedCrossRef Newitt DC, Zhang Z, Gibbs JE et al (2019) Test-retest repeatability and reproducibility of ADC measures by breast DWI: results from the ACRIN 6698 trial. J Magn Reson Imaging 49:1617–1628PubMedCrossRef
24.
go back to reference Amornsiripanitch N, Bickelhaupt S, Shin HJ et al (2019) Diffusion-weighted MRI for unenhanced breast cancer screening. Radiology 293:504–520PubMedCrossRef Amornsiripanitch N, Bickelhaupt S, Shin HJ et al (2019) Diffusion-weighted MRI for unenhanced breast cancer screening. Radiology 293:504–520PubMedCrossRef
25.
go back to reference Baltzer P, Mann RM, Iima M et al (2020) Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group. Eur Radiol 30:1436–1450PubMedCrossRef Baltzer P, Mann RM, Iima M et al (2020) Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group. Eur Radiol 30:1436–1450PubMedCrossRef
26.
go back to reference Trimboli RM, Capra D, Codari M, Cozzi A, Di Leo G, Sardanelli F (2021) Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members. Eur Radiol 31:958–966PubMedCrossRef Trimboli RM, Capra D, Codari M, Cozzi A, Di Leo G, Sardanelli F (2021) Breast arterial calcifications as a biomarker of cardiovascular risk: radiologists' awareness, reporting, and action. A survey among the EUSOBI members. Eur Radiol 31:958–966PubMedCrossRef
27.
go back to reference Clauser P, Mann R, Athanasiou A et al (2018) A survey by the European Society of Breast Imaging on the utilisation of breast MRI in clinical practice. Eur Radiol 28:1909–1918PubMedCrossRef Clauser P, Mann R, Athanasiou A et al (2018) A survey by the European Society of Breast Imaging on the utilisation of breast MRI in clinical practice. Eur Radiol 28:1909–1918PubMedCrossRef
28.
go back to reference Baxter GC, Graves MJ, Gilbert FJ, Patterson AJ (2019) A meta-analysis of the diagnostic performance of diffusion MRI for breast lesion characterization. Radiology 291:632–641PubMedCrossRef Baxter GC, Graves MJ, Gilbert FJ, Patterson AJ (2019) A meta-analysis of the diagnostic performance of diffusion MRI for breast lesion characterization. Radiology 291:632–641PubMedCrossRef
29.
go back to reference Hargreaves BA, Daniel B (2021) Abbreviated non-contrast-enhanced mri for breast cancer screening (R01CA249893). National Cancer Institute, Stanford University Hargreaves BA, Daniel B (2021) Abbreviated non-contrast-enhanced mri for breast cancer screening (R01CA249893). National Cancer Institute, Stanford University
30.
go back to reference Tamura T, Murakami S, Naito K, Yamada T, Fujimoto T, Kikkawa T (2014) Investigation of the optimal b-value to detect breast tumors with diffusion weighted imaging by 1.5-T MRI. Cancer Imaging 14:11PubMedPubMedCentralCrossRef Tamura T, Murakami S, Naito K, Yamada T, Fujimoto T, Kikkawa T (2014) Investigation of the optimal b-value to detect breast tumors with diffusion weighted imaging by 1.5-T MRI. Cancer Imaging 14:11PubMedPubMedCentralCrossRef
31.
go back to reference Park JH, Yun B, Jang M et al (2019) Comparison of the diagnostic performance of synthetic versus acquired high b-value (1500 s/mm(2) ) diffusion-weighted MRI in women with breast cancers. J Magn Reson Imaging 49:857–863PubMedCrossRef Park JH, Yun B, Jang M et al (2019) Comparison of the diagnostic performance of synthetic versus acquired high b-value (1500 s/mm(2) ) diffusion-weighted MRI in women with breast cancers. J Magn Reson Imaging 49:857–863PubMedCrossRef
32.
go back to reference Bickelhaupt S, Laun FB, Tesdorff J et al (2016) Fast and noninvasive characterization of suspicious lesions detected at breast cancer X-ray screening: capability of diffusion-weighted MR imaging with MIPs. Radiology 278:689–697PubMedCrossRef Bickelhaupt S, Laun FB, Tesdorff J et al (2016) Fast and noninvasive characterization of suspicious lesions detected at breast cancer X-ray screening: capability of diffusion-weighted MR imaging with MIPs. Radiology 278:689–697PubMedCrossRef
33.
go back to reference Bickelhaupt S, Paech D, Kickingereder P et al (2017) Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography. J Magn Reson Imaging 46:604–616PubMedCrossRef Bickelhaupt S, Paech D, Kickingereder P et al (2017) Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography. J Magn Reson Imaging 46:604–616PubMedCrossRef
34.
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 19:2349–2356PubMedCrossRef 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 19:2349–2356PubMedCrossRef
35.
go back to reference Daimiel Naranjo I, Lo Gullo R, Saccarelli C et al (2021) Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI. Eur Radiol 31:356–367PubMedCrossRef Daimiel Naranjo I, Lo Gullo R, Saccarelli C et al (2021) Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI. Eur Radiol 31:356–367PubMedCrossRef
36.
go back to reference Choi BH, Baek HJ, Ha JY et al (2020) Feasibility study of synthetic diffusion-weighted MRI in patients with breast cancer in comparison with conventional diffusion-weighted MRI. Korean J Radiol 21:1036–1044PubMedPubMedCentralCrossRef Choi BH, Baek HJ, Ha JY et al (2020) Feasibility study of synthetic diffusion-weighted MRI in patients with breast cancer in comparison with conventional diffusion-weighted MRI. Korean J Radiol 21:1036–1044PubMedPubMedCentralCrossRef
37.
go back to reference Bickel H, Polanec SH, Wengert G et al (2019) Diffusion-weighted MRI of breast cancer: improved lesion visibility and image quality using synthetic b-values. J Magn Reson Imaging 50:1754–1761PubMedPubMedCentralCrossRef Bickel H, Polanec SH, Wengert G et al (2019) Diffusion-weighted MRI of breast cancer: improved lesion visibility and image quality using synthetic b-values. J Magn Reson Imaging 50:1754–1761PubMedPubMedCentralCrossRef
38.
go back to reference Shin HJ, Lee SH, Park VY et al (2021) Diffusion-weighted magnetic resonance imaging for breast cancer screening in high-risk women: design and imaging protocol of a prospective multicenter study in Korea. J Breast Cancer 24:218–228PubMedPubMedCentralCrossRef Shin HJ, Lee SH, Park VY et al (2021) Diffusion-weighted magnetic resonance imaging for breast cancer screening in high-risk women: design and imaging protocol of a prospective multicenter study in Korea. J Breast Cancer 24:218–228PubMedPubMedCentralCrossRef
39.
go back to reference Kul S, Metin Y, Kul M, Metin N, Eyuboglu I, Ozdemir O (2018) Assessment of breast mass morphology with diffusion-weighted MRI: beyond apparent diffusion coefficient. J Magn Reson Imaging 48:1668–1677PubMedCrossRef Kul S, Metin Y, Kul M, Metin N, Eyuboglu I, Ozdemir O (2018) Assessment of breast mass morphology with diffusion-weighted MRI: beyond apparent diffusion coefficient. J Magn Reson Imaging 48:1668–1677PubMedCrossRef
40.
go back to reference Radovic N, Ivanac G, Divjak E, Biondic I, Bulum A, Brkljacic B (2019) Evaluation of breast cancer morphology using diffusion-weighted and dynamic contrast-enhanced MRI: intermethod and interobserver agreement. J Magn Reson Imaging 49:1381–1390PubMedCrossRef Radovic N, Ivanac G, Divjak E, Biondic I, Bulum A, Brkljacic B (2019) Evaluation of breast cancer morphology using diffusion-weighted and dynamic contrast-enhanced MRI: intermethod and interobserver agreement. J Magn Reson Imaging 49:1381–1390PubMedCrossRef
41.
go back to reference Clauser P, Krug B, Bickel H et al (2021) Diffusion-weighted imaging allows for downgrading MR BI-RADS 4 lesions in contrast-enhanced MRI of the breast to avoid unnecessary biopsy. Clin Cancer Res 27:1941–1948PubMedPubMedCentralCrossRef Clauser P, Krug B, Bickel H et al (2021) Diffusion-weighted imaging allows for downgrading MR BI-RADS 4 lesions in contrast-enhanced MRI of the breast to avoid unnecessary biopsy. Clin Cancer Res 27:1941–1948PubMedPubMedCentralCrossRef
42.
go back to reference D’Orsi CJ, Sickles EA, Mendelson EB, Morris EA (2013) ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston D’Orsi CJ, Sickles EA, Mendelson EB, Morris EA (2013) ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. American College of Radiology, Reston
Metadata
Title
A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice
Authors
Roberto Lo Gullo
Varadan Sevilimedu
Pascal Baltzer
Denis Le Bihan
Julia Camps-Herrero
Paola Clauser
Fiona J. Gilbert
Mami Iima
Ritse M. Mann
Savannah C. Partridge
Andrew Patterson
Eric E. Sigmund
Sunitha Thakur
Fabienne E. Thibault
Laura Martincich
Katja Pinker
on behalf of the EUSOBI International Breast Diffusion-Weighted Imaging working group
Publication date
04-05-2022
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2022
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-022-08833-0

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