Wienbeck, Susanne

[["dc.bibliographiccitation.artnumber","7435"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific reports"],["dc.bibliographiccitation.volume","7"],["dc.contributor.author","Wienbeck, Susanne"],["dc.contributor.author","Meyer, Hans Jonas"],["dc.contributor.author","Uhlig, Johannes"],["dc.contributor.author","Herzog, Aimee"],["dc.contributor.author","Nemat, Sogand"],["dc.contributor.author","Teifke, Andrea"],["dc.contributor.author","Heindel, Walter"],["dc.contributor.author","Schäfer, Fritz"],["dc.contributor.author","Kinner, Sonja"],["dc.contributor.author","Surov, Alexey"],["dc.date.accessioned","2019-07-09T11:43:40Z"],["dc.date.available","2019-07-09T11:43:40Z"],["dc.date.issued","2017-08-07"],["dc.description.abstract","To assess radiological procedures and imaging characteristics in patients with intramammary hematological malignancies (IHM). Radiological imaging studies of histopathological proven IHM cases from ten German University affiliated breast imaging centers from 1997-2012 were retrospectively evaluated. Imaging modalities included ultrasound (US), mammography and magnetic resonance imaging (MRI). Two radiologists blinded to the histopathological diagnoses independently assessed all imaging studies. Imaging studies of 101 patients with 204 intramammary lesions were included. Most patients were women (95%) with a median age of 64 years. IHM were classified as Non Hodgkin lymphoma (77.2%), plasmacytoma (11.9%), leukemia (9.9%), and Hodgkin lymphoma (1%). The mean lesion size was 15.8 ± 10.1 mm. Most IHM presented in mammography as lesions with comparable density to the surrounding tissue, and a round or irregular shape with indistinct margins. On US, most lesions were of irregular shape with complex echo pattern and indistinct margins. MRI shows lesions with irregular or spiculated margins and miscellaneous enhancement patterns. Using US or MRI, IHM were more frequently classified as BI-RADS 4 or 5 than using mammography (96.2% and 89.3% versus 75.3%). IHM can present with miscellaneous radiological patterns. Sensitivity for detection of IHM lesions was higher in US and MRI than in mammography."],["dc.identifier.doi","10.1038/s41598-017-07409-z"],["dc.identifier.pmid","28785116"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14617"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58941"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","2045-2322"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","610"],["dc.title","Radiological imaging characteristics of intramammary hematological malignancies: results from a german multicenter study."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","92"],["dc.bibliographiccitation.journal","Clinical Imaging"],["dc.bibliographiccitation.lastpage","95"],["dc.bibliographiccitation.volume","45"],["dc.contributor.author","Staab, Wieland"],["dc.contributor.author","Menke, Jan"],["dc.contributor.author","Sohns, Christian"],["dc.contributor.author","Wienbeck, Susanne"],["dc.contributor.author","Bauer, Lukas"],["dc.contributor.author","Kowallick, Johannes Tammo"],["dc.contributor.author","Konietschke, Frank"],["dc.contributor.author","Derlin, Thorsten"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Sohns, Jan Martin"],["dc.date.accessioned","2020-12-10T14:23:07Z"],["dc.date.available","2020-12-10T14:23:07Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.1016/j.clinimag.2017.06.005"],["dc.identifier.issn","0899-7071"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/71842"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Prevalence and clinical significance of incidental extra-mammary findings in breast magnetic resonance imaging: A retrospective study of 1070 patients"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","W123"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","American Journal of Roentgenology"],["dc.bibliographiccitation.lastpage","W131"],["dc.bibliographiccitation.volume","211"],["dc.contributor.author","Uhlig, Johannes"],["dc.contributor.author","Uhlig, Annemarie"],["dc.contributor.author","Kunze, Meike"],["dc.contributor.author","Fischer, Uwe"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Wienbeck, Susanne"],["dc.contributor.author","Beißbarth, Tim"],["dc.date.accessioned","2020-12-10T18:43:35Z"],["dc.date.available","2020-12-10T18:43:35Z"],["dc.date.issued","2018"],["dc.description.abstract","The purpose of this study is to evaluate the diagnostic performance of machine learning techniques for malignancy prediction at breast cone-beam CT (CBCT) and to compare them to human readers."],["dc.identifier.doi","10.2214/AJR.17.19298"],["dc.identifier.eissn","1546-3141"],["dc.identifier.issn","0361-803X"],["dc.identifier.pmid","29792725"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/78197"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.eissn","1546-3141"],["dc.relation.issn","0361-803X"],["dc.relation.issn","1546-3141"],["dc.title","Novel Breast Imaging and Machine Learning: Predicting Breast Lesion Malignancy at Cone-Beam CT Using Machine Learning Techniques"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.journal","Geburtshilfe und Frauenheilkunde"],["dc.bibliographiccitation.volume","82"],["dc.contributor.author","Urban, H"],["dc.contributor.author","Bauerschmitz, GJ"],["dc.contributor.author","Gallwas, J"],["dc.contributor.author","Wienbeck, S"],["dc.date.accessioned","2022-11-01T10:16:52Z"],["dc.date.available","2022-11-01T10:16:52Z"],["dc.date.issued","2022"],["dc.identifier.doi","10.1055/s-0042-1757083"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/116672"],["dc.notes.intern","DOI-Import GROB-605"],["dc.publisher","Georg Thieme Verlag"],["dc.relation.conference","64. Kongress der Deutschen Gesellschaft für Gynäkologie und Geburtshilfe e. V."],["dc.relation.eventend","2022-10-15"],["dc.relation.eventlocation","München"],["dc.relation.eventstart","2022-10-12"],["dc.title","Digitale Vollfeldmammographie (FFDM) versus digitale Brust-Tomosynthese (DBT) – Welches System steigert die Qualität der Präparateradiographie?"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","9"],["dc.bibliographiccitation.journal","European Journal of Radiology"],["dc.bibliographiccitation.lastpage","16"],["dc.bibliographiccitation.volume","99"],["dc.contributor.author","Uhlig, Johannes"],["dc.contributor.author","Fischer, Uwe"],["dc.contributor.author","Surov, Alexey"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Wienbeck, Susanne"],["dc.date.accessioned","2020-12-10T14:23:42Z"],["dc.date.available","2020-12-10T14:23:42Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1016/j.ejrad.2017.12.003"],["dc.identifier.issn","0720-048X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/72020"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Contrast-enhanced cone-beam breast-CT: Analysis of optimal acquisition time for discrimination of breast lesion malignancy"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","599"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Translational oncology"],["dc.bibliographiccitation.lastpage","603"],["dc.bibliographiccitation.volume","10"],["dc.contributor.author","Wienbeck, Susanne"],["dc.contributor.author","Fischer, Uwe"],["dc.contributor.author","Perske, Christina"],["dc.contributor.author","Wienke, Andreas"],["dc.contributor.author","Meyer, Hans Jonas"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Surov, Alexey"],["dc.date.accessioned","2019-07-09T11:43:26Z"],["dc.date.available","2019-07-09T11:43:26Z"],["dc.date.issued","2017-06-27"],["dc.description.abstract","PURPOSE: Recently, cone-beam breast computed tomography (CBCT) is established for the breast investigation. The purpose of the present study was to investigate possible associations between CBCT findings and histopathological features in breast cancer. METHODS: Overall, 59 female patients, mean age of 64.6 years with histological proven breast cancer were included into the study. In all cases, non-contrast CBCT examination was done. The diagnosis of the identified lesions was confirmed histologically by biopsy. Immunohistochemical staining against estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 was performed for every lesion. Collected data were evaluated by means of descriptive statistics. Spearman's correlation coefficient was used to analyze the association between CT density and Ki-67 values. P values <0.05 were taken to indicate statistical significance in all instances. RESULTS: The size of the lesion varied from 2.7 to 90.0, mean size, 15.88±13.0 mm. The mean value of CT density of the lesions was 63.95±38.18 HU. The density tended to be higher in tubular carcinoma. Correlation analysis identified no significant correlations between CT density and Ki-67 level (r=-0.031, P=.784). There were no statistically significant differences of CT density between tumors with different receptor status. CONCLUSIONS: No significant associations between CT density and receptor status in breast cancer. Tubular carcinoma tended to have higher CT density in comparison to other subtypes of breast carcinomas."],["dc.identifier.doi","10.1016/j.tranon.2017.05.004"],["dc.identifier.pmid","28666188"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14534"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/58889"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation.issn","1936-5233"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/4.0"],["dc.subject.ddc","610"],["dc.title","Cone-beam Breast Computed Tomography: CT Density Does Not Reflect Proliferation Potential and Receptor Expression of Breast Carcinoma."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Scientific Reports"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Pacilè, S."],["dc.contributor.author","Dullin, C."],["dc.contributor.author","Baran, P."],["dc.contributor.author","Tonutti, M."],["dc.contributor.author","Perske, C."],["dc.contributor.author","Fischer, U."],["dc.contributor.author","Albers, J."],["dc.contributor.author","Arfelli, F."],["dc.contributor.author","Dreossi, D."],["dc.contributor.author","Pavlov, K."],["dc.contributor.author","Maksimenko, A."],["dc.contributor.author","Mayo, S. C."],["dc.contributor.author","Nesterets, Y. I."],["dc.contributor.author","Taba, S. Tavakoli"],["dc.contributor.author","Lewis, S."],["dc.contributor.author","Brennan, P. C."],["dc.contributor.author","Gureyev, T. E."],["dc.contributor.author","Tromba, G."],["dc.contributor.author","Wienbeck, S."],["dc.date.accessioned","2020-12-10T18:11:06Z"],["dc.date.available","2020-12-10T18:11:06Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1038/s41598-019-50075-6"],["dc.identifier.eissn","2045-2322"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16832"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/73900"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Free propagation phase-contrast breast CT provides higher image quality than cone-beam breast-CT at low radiation doses: a feasibility study on human mastectomies"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","50"],["dc.bibliographiccitation.journal","Clinical Imaging"],["dc.bibliographiccitation.lastpage","59"],["dc.bibliographiccitation.volume","42"],["dc.contributor.author","Wienbeck, Susanne"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Fischer, Uwe"],["dc.date.accessioned","2018-11-07T10:27:02Z"],["dc.date.available","2018-11-07T10:27:02Z"],["dc.date.issued","2017"],["dc.description.abstract","The dedicated cone-beam breast computed tomography (CBBCT) is a new and promising imaging modality which provides isotropic, 3D images of the breast with high spatial and contrast resolution. Non-contrast and contrast-enhanced CBBCT (CE-CBBCT) was superior to mammography for the visualization of breast masses, especially in patients with dense breast tissue. CE-CBBCT accurately detects DCIS and distinguishes it from benign causes of microcalcifications when compared with non-contrast CBBCT and mammography. The purpose of this report is to describe the technology and its possible indications, and to present the first results from recent clinical studies, illustrating these with our own image examples. (C) 2016 Elsevier Inc. All rights reserved."],["dc.identifier.doi","10.1016/j.clinimag.2016.11.011"],["dc.identifier.isi","000394732700008"],["dc.identifier.pmid","27875762"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/43164"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","PUB_WoS_Import"],["dc.publisher","Elsevier Science Inc"],["dc.relation.issn","1873-4499"],["dc.relation.issn","0899-7071"],["dc.title","Review of clinical studies and first clinical experiences with a commercially available cone-beam breast CT in Europe"],["dc.type","review"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.status","published"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","e17082"],["dc.bibliographiccitation.issue","37"],["dc.bibliographiccitation.journal","Medicine"],["dc.bibliographiccitation.volume","98"],["dc.contributor.author","Wienbeck, Susanne"],["dc.contributor.author","Uhlig, Johannes"],["dc.contributor.author","Fischer, Uwe"],["dc.contributor.author","Hellriegel, Martin"],["dc.contributor.author","von Fintel, Eva"],["dc.contributor.author","Kulenkampff, Dietrich"],["dc.contributor.author","Surov, Alexey"],["dc.contributor.author","Lotz, Joachim"],["dc.contributor.author","Perske, Christina"],["dc.date.accessioned","2020-12-10T18:20:08Z"],["dc.date.available","2020-12-10T18:20:08Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1097/MD.0000000000017082"],["dc.identifier.issn","0025-7974"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16517"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/75461"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.notes.intern","Merged from goescholar"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/4.0"],["dc.title","Breast lesion size assessment in mastectomy specimens"],["dc.title.alternative","Correlation of cone-beam breast-CT, digital breast tomosynthesis and full-field digital mammography with histopathology"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","787"],["dc.bibliographiccitation.issue","09"],["dc.bibliographiccitation.journal","RöFo"],["dc.bibliographiccitation.lastpage","789"],["dc.bibliographiccitation.volume","191"],["dc.contributor.author","Meyer, Hans Jonas"],["dc.contributor.author","Wienbeck, Susanne"],["dc.contributor.author","Surov, Alexey"],["dc.date.accessioned","2020-12-10T18:12:11Z"],["dc.date.available","2020-12-10T18:12:11Z"],["dc.date.issued","2019"],["dc.identifier.doi","10.1055/a-0900-4260"],["dc.identifier.eissn","1438-9010"],["dc.identifier.issn","1438-9029"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/74271"],["dc.language.iso","de"],["dc.notes.intern","DOI Import GROB-354"],["dc.title","Hämatologische kardiale Malignome – typische Befallsmuster in der Bildgebung"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]