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Published in: European Radiology 12/2019

01-12-2019 | Glioma | Magnetic Resonance

Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma

Authors: Bio Joo, Kyunghwa Han, Sung Soo Ahn, Yoon Seong Choi, Jong Hee Chang, Seok-Gu Kang, Se Hoon Kim, Jinyuan Zhou, Seung-Koo Lee

Published in: European Radiology | Issue 12/2019

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Abstract

Objectives

To assess the utility of amide proton transfer (APT) imaging as an imaging biomarker to predict prognosis and molecular marker status in high-grade glioma (HGG, WHO grade III/IV).

Methods

We included 71 patients with pathologically diagnosed HGG who underwent preoperative MRI with APT imaging. Overall survival (OS) and progression-free survival (PFS) according to APT signal, clinical factors, MGMT methylation status, and IDH mutation status were analyzed. Multivariate Cox regression models with and without APT signal data were constructed. Model performance was compared using the integrated AUC (iAUC). Associations between APT signals and molecular markers were assessed using the Mann-Whitney test.

Results

High APT signal was a significant predictor for poor OS (HR = 3.21, 95% CI = 1.62–6.34) and PFS (HR = 2.22, 95% CI = 1.33–3.72) on univariate analysis. On multivariate analysis, high APT signals were an independent predictor of poor OS and PFS when clinical factors alone (OS: HR = 2.89; PFS: HR = 2.13), or in combination with molecular markers (OS: HR = 2.85; PFS: HR = 2.00), were included as covariates. The incremental prognostic value of APT signals was significant for OS and PFS. IDH-wild type was significantly associated with high APT signals (p = 0.001) when compared to IDH-mutant; however, there was no difference based on MGMT methylation status (p = 0.208).

Conclusion

High APT signal was a significant predictor of poor prognosis in HGG. APT data showed significant incremental prognostic value over clinical prognostic factors and molecular markers and may also predict IDH mutation status.

Key Points

• Amide proton transfer (APT) imaging is a promising prognostic marker of high-grade glioma.
• APT signals were significantly higher in IDH-wild type compared to IDH-mutant high-grade glioma.
• APT imaging may be valuable for preoperative screening and treatment guidance.
Literature
1.
go back to reference Ricard D, Idbaih A, Ducray F, Lahutte M, Hoang-Xuan K, Delattre JY (2012) Primary brain tumours in adults. Lancet 379:1984–1996PubMedCrossRef Ricard D, Idbaih A, Ducray F, Lahutte M, Hoang-Xuan K, Delattre JY (2012) Primary brain tumours in adults. Lancet 379:1984–1996PubMedCrossRef
2.
go back to reference Stupp R, Brada M, van den Bent MJ, Tonn JC, Pentheroudakis G (2014) High-grade glioma: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol 25:iii93–iii101PubMedCrossRef Stupp R, Brada M, van den Bent MJ, Tonn JC, Pentheroudakis G (2014) High-grade glioma: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol 25:iii93–iii101PubMedCrossRef
3.
go back to reference Lamborn KR, Chang SM, Prados MD (2004) Prognostic factors for survival of patients with glioblastoma: recursive partitioning analysis. Neuro Oncol 6:227–235PubMedPubMedCentralCrossRef Lamborn KR, Chang SM, Prados MD (2004) Prognostic factors for survival of patients with glioblastoma: recursive partitioning analysis. Neuro Oncol 6:227–235PubMedPubMedCentralCrossRef
4.
go back to reference Mirimanoff RO, Gorlia T, Mason W et al (2006) Radiotherapy and temozolomide for newly diagnosed glioblastoma: recursive partitioning analysis of the EORTC 26981/22981-NCIC CE3 phase III randomized trial. J Clin Oncol 24:2563–2569PubMedCrossRef Mirimanoff RO, Gorlia T, Mason W et al (2006) Radiotherapy and temozolomide for newly diagnosed glioblastoma: recursive partitioning analysis of the EORTC 26981/22981-NCIC CE3 phase III randomized trial. J Clin Oncol 24:2563–2569PubMedCrossRef
5.
go back to reference Brown TJ, Brennan MC, Li M et al (2016) Association of the extent of resection with survival in glioblastoma: a systematic review and meta-analysis. JAMA Oncol 2:1460–1469PubMedPubMedCentralCrossRef Brown TJ, Brennan MC, Li M et al (2016) Association of the extent of resection with survival in glioblastoma: a systematic review and meta-analysis. JAMA Oncol 2:1460–1469PubMedPubMedCentralCrossRef
6.
go back to reference Zou P, Xu H, Chen P et al (2013) IDH1/IDH2 mutations define the prognosis and molecular profiles of patients with gliomas: a meta-analysis. PLoS One 8:e68782PubMedPubMedCentralCrossRef Zou P, Xu H, Chen P et al (2013) IDH1/IDH2 mutations define the prognosis and molecular profiles of patients with gliomas: a meta-analysis. PLoS One 8:e68782PubMedPubMedCentralCrossRef
7.
go back to reference Weller M, Tabatabai G, Kästner B et al (2015) MGMT promoter methylation is a strong prognostic biomarker for benefit from dose-intensified temozolomide rechallenge in progressive glioblastoma: the DIRECTOR trial. Clin Cancer Res 21:2057–2064PubMedCrossRef Weller M, Tabatabai G, Kästner B et al (2015) MGMT promoter methylation is a strong prognostic biomarker for benefit from dose-intensified temozolomide rechallenge in progressive glioblastoma: the DIRECTOR trial. Clin Cancer Res 21:2057–2064PubMedCrossRef
8.
go back to reference Leu S, von Felten S, Frank S et al (2013) IDH/MGMT-driven molecular classification of low-grade glioma is a strong predictor for long-term survival. Neuro Oncol 15:469–479PubMedPubMedCentralCrossRef Leu S, von Felten S, Frank S et al (2013) IDH/MGMT-driven molecular classification of low-grade glioma is a strong predictor for long-term survival. Neuro Oncol 15:469–479PubMedPubMedCentralCrossRef
9.
go back to reference Yang F, Yang P, Zhang C et al (2017) Stratification according to recursive partitioning analysis predicts outcome in newly diagnosed glioblastomas. Oncotarget 8:42974–42982PubMedPubMedCentral Yang F, Yang P, Zhang C et al (2017) Stratification according to recursive partitioning analysis predicts outcome in newly diagnosed glioblastomas. Oncotarget 8:42974–42982PubMedPubMedCentral
10.
go back to reference Brat DJ, Verhaak RG, Aldape KD et al (2015) Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas. N Engl J Med 372:2481–2498PubMedCrossRef Brat DJ, Verhaak RG, Aldape KD et al (2015) Comprehensive, integrative genomic analysis of diffuse lower-grade gliomas. N Engl J Med 372:2481–2498PubMedCrossRef
12.
go back to reference Tateishi K, Wakimoto H, Cahill DP (2017) IDH1 mutation and World Health Organization 2016 diagnostic criteria for adult diffuse gliomas: advances in surgical strategy. Neurosurgery 64:134–138PubMedPubMedCentralCrossRef Tateishi K, Wakimoto H, Cahill DP (2017) IDH1 mutation and World Health Organization 2016 diagnostic criteria for adult diffuse gliomas: advances in surgical strategy. Neurosurgery 64:134–138PubMedPubMedCentralCrossRef
15.
go back to reference Miller JJ, Shih HA, Andronesi OC, Cahill DP (2017) Isocitrate dehydrogenase-mutant glioma: evolving clinical and therapeutic implications. Cancer 123:4535–4546PubMedCrossRef Miller JJ, Shih HA, Andronesi OC, Cahill DP (2017) Isocitrate dehydrogenase-mutant glioma: evolving clinical and therapeutic implications. Cancer 123:4535–4546PubMedCrossRef
16.
go back to reference Louis DN, Perry A, Reifenberger G et al (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131:803–820PubMedCrossRef Louis DN, Perry A, Reifenberger G et al (2016) The 2016 World Health Organization classification of tumors of the central nervous system: a summary. Acta Neuropathol 131:803–820PubMedCrossRef
17.
go back to reference Waitkus MS, Diplas BH, Yan H (2016) Isocitrate dehydrogenase mutations in gliomas. Neuro Oncol 18:16–26PubMedCrossRef Waitkus MS, Diplas BH, Yan H (2016) Isocitrate dehydrogenase mutations in gliomas. Neuro Oncol 18:16–26PubMedCrossRef
18.
go back to reference Baldewpersad Tewarie NM, Burgers IA, Dawood Y et al (2013) NADP+ -dependent IDH1 R132 mutation and its relevance for glioma patient survival. Med Hypotheses 80:728–731PubMedCrossRef Baldewpersad Tewarie NM, Burgers IA, Dawood Y et al (2013) NADP+ -dependent IDH1 R132 mutation and its relevance for glioma patient survival. Med Hypotheses 80:728–731PubMedCrossRef
19.
go back to reference Hegi ME, Diserens A-C, Gorlia T et al (2005) MGMT gene silencing and benefit from temozolomide in glioblastoma. N Engl J Med 352:997–1003PubMedCrossRef Hegi ME, Diserens A-C, Gorlia T et al (2005) MGMT gene silencing and benefit from temozolomide in glioblastoma. N Engl J Med 352:997–1003PubMedCrossRef
20.
go back to reference Pope WB, Sayre J, Perlina A, Villablanca JP, Mischel PS, Cloughesy TF (2005) MR imaging correlates of survival in patients with high-grade gliomas. AJNR Am J Neuroradiol 26:2466–2474PubMedPubMedCentral Pope WB, Sayre J, Perlina A, Villablanca JP, Mischel PS, Cloughesy TF (2005) MR imaging correlates of survival in patients with high-grade gliomas. AJNR Am J Neuroradiol 26:2466–2474PubMedPubMedCentral
21.
go back to reference Hirai T, Murakami R, Nakamura H et al (2008) Prognostic value of perfusion MR imaging of high-grade astrocytomas: long-term follow-up study. AJNR Am J Neuroradiol 29:1505–1510PubMedCrossRefPubMedCentral Hirai T, Murakami R, Nakamura H et al (2008) Prognostic value of perfusion MR imaging of high-grade astrocytomas: long-term follow-up study. AJNR Am J Neuroradiol 29:1505–1510PubMedCrossRefPubMedCentral
22.
go back to reference Choi YS, Ahn SS, Kim DW et al (2016) Incremental prognostic value of ADC histogram analysis over MGMT promoter methylation status in patients with glioblastoma. Radiology 281:175–184PubMedCrossRef Choi YS, Ahn SS, Kim DW et al (2016) Incremental prognostic value of ADC histogram analysis over MGMT promoter methylation status in patients with glioblastoma. Radiology 281:175–184PubMedCrossRef
23.
go back to reference Ulyte A, Katsaros VK, Liouta E et al (2016) Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients. Neuroradiology 58:1197–1208PubMedPubMedCentralCrossRef Ulyte A, Katsaros VK, Liouta E et al (2016) Prognostic value of preoperative dynamic contrast-enhanced MRI perfusion parameters for high-grade glioma patients. Neuroradiology 58:1197–1208PubMedPubMedCentralCrossRef
24.
go back to reference Ward KM, Aletras AH, Balaban RS (2000) A new class of contrast agents for MRI based on proton chemical exchange dependent saturation transfer (CEST). J Magn Reson 143:79–87CrossRefPubMed Ward KM, Aletras AH, Balaban RS (2000) A new class of contrast agents for MRI based on proton chemical exchange dependent saturation transfer (CEST). J Magn Reson 143:79–87CrossRefPubMed
25.
go back to reference Zhou J, Lal B, Wilson DA, Laterra J, van Zijl PC (2003) Amide proton transfer (APT) contrast for imaging of brain tumors. Magn Reson Med 50:1120–1126CrossRefPubMed Zhou J, Lal B, Wilson DA, Laterra J, van Zijl PC (2003) Amide proton transfer (APT) contrast for imaging of brain tumors. Magn Reson Med 50:1120–1126CrossRefPubMed
26.
go back to reference Jones CK, Schlosser MJ, van Zijl PC, Pomper MG, Golay X, Zhou J (2006) Amide proton transfer imaging of human brain tumors at 3T. Magn Reson Med 56:585–592CrossRefPubMed Jones CK, Schlosser MJ, van Zijl PC, Pomper MG, Golay X, Zhou J (2006) Amide proton transfer imaging of human brain tumors at 3T. Magn Reson Med 56:585–592CrossRefPubMed
27.
go back to reference Choi YS, Ahn SS, Lee SK et al (2017) Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume. Eur Radiol 27:3181–3189PubMedPubMedCentralCrossRef Choi YS, Ahn SS, Lee SK et al (2017) Amide proton transfer imaging to discriminate between low- and high-grade gliomas: added value to apparent diffusion coefficient and relative cerebral blood volume. Eur Radiol 27:3181–3189PubMedPubMedCentralCrossRef
28.
go back to reference Togao O, Yoshiura T, Keupp J et al (2014) Amide proton transfer imaging of adult diffuse gliomas: correlation with histopathological grades. Neuro Oncol 16:441–448PubMedCrossRef Togao O, Yoshiura T, Keupp J et al (2014) Amide proton transfer imaging of adult diffuse gliomas: correlation with histopathological grades. Neuro Oncol 16:441–448PubMedCrossRef
29.
go back to reference Jiang S, Zou T, Eberhart CG et al (2017) Predicting IDH mutation status in grade II gliomas using amide proton transfer-weighted (APTw) MRI. Magn Reson Med 78:1100–1109PubMedPubMedCentralCrossRef Jiang S, Zou T, Eberhart CG et al (2017) Predicting IDH mutation status in grade II gliomas using amide proton transfer-weighted (APTw) MRI. Magn Reson Med 78:1100–1109PubMedPubMedCentralCrossRef
30.
go back to reference Jiang S, Rui Q, Wang Y et al (2018) Discriminating MGMT promoter methylation status in patients with glioblastoma employing amide proton transfer-weighted MRI metrics. Eur Radiol 28:2115–2123PubMedCrossRef Jiang S, Rui Q, Wang Y et al (2018) Discriminating MGMT promoter methylation status in patients with glioblastoma employing amide proton transfer-weighted MRI metrics. Eur Radiol 28:2115–2123PubMedCrossRef
32.
go back to reference Regnery S, Adeberg S, Dreher C et al (2018) Chemical exchange saturation transfer MRI serves as predictor of early progression in glioblastoma patients. Oncotarget 9:28772PubMedPubMedCentralCrossRef Regnery S, Adeberg S, Dreher C et al (2018) Chemical exchange saturation transfer MRI serves as predictor of early progression in glioblastoma patients. Oncotarget 9:28772PubMedPubMedCentralCrossRef
33.
go back to reference Kim M, Gillen J, Landman BA, Zhou J, van Zijl PC (2009) Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments. Magn Reson Med 61:1441–1450PubMedPubMedCentralCrossRef Kim M, Gillen J, Landman BA, Zhou J, van Zijl PC (2009) Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments. Magn Reson Med 61:1441–1450PubMedPubMedCentralCrossRef
34.
go back to reference Choi J, Lee EY, Shin KJ, Minn YK, Kim J, Kim SH (2013) IDH1 mutation analysis in low cellularity specimen: a limitation of diagnostic accuracy and a proposal for the diagnostic procedure. Pathol Res Pract 209:284–290PubMedCrossRef Choi J, Lee EY, Shin KJ, Minn YK, Kim J, Kim SH (2013) IDH1 mutation analysis in low cellularity specimen: a limitation of diagnostic accuracy and a proposal for the diagnostic procedure. Pathol Res Pract 209:284–290PubMedCrossRef
35.
go back to reference Heagerty PJ, Zheng Y (2005) Survival model predictive accuracy and ROC curves. Biometrics 61:92–105PubMedCrossRef Heagerty PJ, Zheng Y (2005) Survival model predictive accuracy and ROC curves. Biometrics 61:92–105PubMedCrossRef
36.
go back to reference Yan K, Fu Z, Yang C et al (2015) Assessing amide proton transfer (APT) MRI contrast origins in 9 L gliosarcoma in the rat brain using proteomic analysis. Mol Imaging Biol 17:479–487PubMedPubMedCentralCrossRef Yan K, Fu Z, Yang C et al (2015) Assessing amide proton transfer (APT) MRI contrast origins in 9 L gliosarcoma in the rat brain using proteomic analysis. Mol Imaging Biol 17:479–487PubMedPubMedCentralCrossRef
37.
go back to reference Su C, Liu C, Zhao L et al (2017) Amide proton transfer imaging allows detection of glioma grades and tumor proliferation: comparison with Ki-67 expression and proton MR spectroscopy imaging. AJNR Am J Neuroradiol 38:1702–1709PubMedCrossRefPubMedCentral Su C, Liu C, Zhao L et al (2017) Amide proton transfer imaging allows detection of glioma grades and tumor proliferation: comparison with Ki-67 expression and proton MR spectroscopy imaging. AJNR Am J Neuroradiol 38:1702–1709PubMedCrossRefPubMedCentral
38.
go back to reference Park JE, Kim HS, Park KJ, Kim SJ, Kim JH, Smith SA (2016) Pre- and posttreatment glioma: comparison of amide proton transfer imaging with MR spectroscopy for biomarkers of tumor proliferation. Radiology 278:514–523CrossRefPubMed Park JE, Kim HS, Park KJ, Kim SJ, Kim JH, Smith SA (2016) Pre- and posttreatment glioma: comparison of amide proton transfer imaging with MR spectroscopy for biomarkers of tumor proliferation. Radiology 278:514–523CrossRefPubMed
39.
go back to reference Binabaj MM, Bahrami A, ShahidSales S et al (2018) The prognostic value of MGMT promoter methylation in glioblastoma: a meta-analysis of clinical trials. J Cell Physiol 233:378–386PubMedCrossRef Binabaj MM, Bahrami A, ShahidSales S et al (2018) The prognostic value of MGMT promoter methylation in glioblastoma: a meta-analysis of clinical trials. J Cell Physiol 233:378–386PubMedCrossRef
40.
go back to reference Doll S, Urisman A, Oses-Prieto JA, Arnott D, Burlingame AL (2017) Quantitative proteomics reveals fundamental regulatory differences in oncogenic HRAS and Isocitrate dehydrogenase (IDH1) driven astrocytoma. Mol Cell Proteomics 16:39–56PubMedCrossRef Doll S, Urisman A, Oses-Prieto JA, Arnott D, Burlingame AL (2017) Quantitative proteomics reveals fundamental regulatory differences in oncogenic HRAS and Isocitrate dehydrogenase (IDH1) driven astrocytoma. Mol Cell Proteomics 16:39–56PubMedCrossRef
41.
go back to reference Reitman ZJ, Jin G, Karoly ED et al (2011) Profiling the effects of isocitrate dehydrogenase 1 and 2 mutations on the cellular metabolome. Proc Natl Acad Sci U S A 108:3270–3275PubMedPubMedCentralCrossRef Reitman ZJ, Jin G, Karoly ED et al (2011) Profiling the effects of isocitrate dehydrogenase 1 and 2 mutations on the cellular metabolome. Proc Natl Acad Sci U S A 108:3270–3275PubMedPubMedCentralCrossRef
42.
go back to reference Zhou J, Tryggestad E, Wen Z et al (2010) Differentiation between glioma and radiation necrosis using molecular magnetic resonance imaging of endogenous proteins and peptides. Nat Med 17:130PubMedPubMedCentralCrossRef Zhou J, Tryggestad E, Wen Z et al (2010) Differentiation between glioma and radiation necrosis using molecular magnetic resonance imaging of endogenous proteins and peptides. Nat Med 17:130PubMedPubMedCentralCrossRef
43.
go back to reference Park JE, Kim HS, Park KJ, Choi CG, Kim SJ (2015) Histogram analysis of amide proton transfer imaging to identify contrast-enhancing low-grade brain tumor that mimics high-grade tumor: increased accuracy of MR perfusion. Radiology 277:151–161PubMedCrossRef Park JE, Kim HS, Park KJ, Choi CG, Kim SJ (2015) Histogram analysis of amide proton transfer imaging to identify contrast-enhancing low-grade brain tumor that mimics high-grade tumor: increased accuracy of MR perfusion. Radiology 277:151–161PubMedCrossRef
44.
go back to reference Jones CK, Huang A, Xu J et al (2013) Nuclear Overhauser enhancement (NOE) imaging in the human brain at 7T. Neuroimage 77:114–124PubMedCrossRef Jones CK, Huang A, Xu J et al (2013) Nuclear Overhauser enhancement (NOE) imaging in the human brain at 7T. Neuroimage 77:114–124PubMedCrossRef
46.
go back to reference Zaiss M, Windschuh J, Paech D et al (2015) Relaxation-compensated CEST-MRI of the human brain at 7T: unbiased insight into NOE and amide signal changes in human glioblastoma. Neuroimage 112:180–188PubMedCrossRef Zaiss M, Windschuh J, Paech D et al (2015) Relaxation-compensated CEST-MRI of the human brain at 7T: unbiased insight into NOE and amide signal changes in human glioblastoma. Neuroimage 112:180–188PubMedCrossRef
47.
go back to reference Lee DH, Heo HY, Zhang K et al (2017) Quantitative assessment of the effects of water proton concentration and water T1 changes on amide proton transfer (APT) and nuclear overhauser enhancement (NOE) MRI: the origin of the APT imaging signal in brain tumor. Magn Reson Med 77:855–863PubMedCrossRef Lee DH, Heo HY, Zhang K et al (2017) Quantitative assessment of the effects of water proton concentration and water T1 changes on amide proton transfer (APT) and nuclear overhauser enhancement (NOE) MRI: the origin of the APT imaging signal in brain tumor. Magn Reson Med 77:855–863PubMedCrossRef
48.
go back to reference Heo HY, Zhang Y, Lee DH, Hong X, Zhou J (2016) Quantitative assessment of amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging with extrapolated semi-solid magnetization transfer reference (EMR) signals: application to a rat glioma model at 4.7 tesla. Magn Reson Med 75:137–149PubMedCrossRef Heo HY, Zhang Y, Lee DH, Hong X, Zhou J (2016) Quantitative assessment of amide proton transfer (APT) and nuclear overhauser enhancement (NOE) imaging with extrapolated semi-solid magnetization transfer reference (EMR) signals: application to a rat glioma model at 4.7 tesla. Magn Reson Med 75:137–149PubMedCrossRef
49.
go back to reference Sakata A, Okada T, Yamamoto A et al (2015) Grading glial tumors with amide proton transfer MR imaging: different analytical approaches. J Neurooncol 122:339–348PubMedCrossRef Sakata A, Okada T, Yamamoto A et al (2015) Grading glial tumors with amide proton transfer MR imaging: different analytical approaches. J Neurooncol 122:339–348PubMedCrossRef
50.
go back to reference Hartmann C, Hentschel B, Wick W et al (2010) Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas. Acta Neuropathol 120:707–718PubMedCrossRef Hartmann C, Hentschel B, Wick W et al (2010) Patients with IDH1 wild type anaplastic astrocytomas exhibit worse prognosis than IDH1-mutated glioblastomas, and IDH1 mutation status accounts for the unfavorable prognostic effect of higher age: implications for classification of gliomas. Acta Neuropathol 120:707–718PubMedCrossRef
Metadata
Title
Amide proton transfer imaging might predict survival and IDH mutation status in high-grade glioma
Authors
Bio Joo
Kyunghwa Han
Sung Soo Ahn
Yoon Seong Choi
Jong Hee Chang
Seok-Gu Kang
Se Hoon Kim
Jinyuan Zhou
Seung-Koo Lee
Publication date
01-12-2019
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 12/2019
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-019-06203-x

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