nu:view References

nu:view References
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nu:view References

Product catalog summary
Overview: This document compiles a comprehensive list of publications related to the development, validation, and application of the AB-CT nu:view breast CT system. The references span from 2012 to 2025, highlighting advancements in breast cancer diagnostics, technical innovations, and clinical applications of breast CT technology.
Key Sections:
  • Technical Advancements: Several studies focus on the technical feasibility and improvements in breast CT, including photon-counting technology, image quality, and dose optimization. Notable works include the exploration of photon-counting detectors for enhanced image resolution and reduced radiation dose.
  • Clinical Applications: The references include clinical studies assessing the diagnostic performance of breast CT in detecting microcalcifications, breast density classification, and the use of contrast media. These studies demonstrate the potential of breast CT in improving diagnostic accuracy and patient comfort compared to traditional mammography.
  • Machine Learning and Automation: Recent publications explore the integration of machine learning techniques in breast CT, such as deep convolutional neural networks for automatic classification of breast density and lesion detection.
  • Patient Comfort and Safety: Research on patient positioning, comfort, and safety in breast CT is highlighted, emphasizing the importance of patient-centric design in imaging technology.
  • Comparative Studies: Several studies compare breast CT with other imaging modalities like digital mammography and tomosynthesis, focusing on aspects like image quality, diagnostic performance, and radiation dose.
Conclusion: The AB-CT nu:view breast CT system represents a significant advancement in breast imaging technology, offering improved diagnostic capabilities, enhanced patient comfort, and potential for integration with advanced computational techniques. The extensive body of research underscores its growing role in breast cancer diagnostics.
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nu:view References-1

nu:view References Last revised: April 9, 2025 Publications regarding the development, validation and application of the AB-CT nu:view breast CT system [1] G. Gebhard and M. Wasser. “Advancements and Challenges in Breast Cancer Diagnostics”. In: DI Europe (2025). url: https://ab-ct.com/wp-content/uploads/2025/01/ DIEurope_202501_BreastCT_Leiden.pdf. [2] G. Gebhard and M. Wasser. “Präzision und Komfort für eine bessere Diagnose”. In: Radiologie Magazin 3 (2024). url: https://radiologiemagazin.de/epaper/epaperRadMag_3-2024/index.html#24. [3] L. C. Huck, M. Bode, E. Zanderigo, C. Wilpert, V. Raaff, E. Dethlefsen, E. Wenkel, and C. K. Kuhl. “Dedicated Photon-Counting CT for Detection and Classification of Microcalcifications: An Intraindividual Comparison With Digital Breast Tomosynthesis”. In: Investigative Radiology (June 2024). issn: 0020-9996. doi: 10.1097/RLI.0000000000001097. [4] M. Wasser, L. Coopmans, D. Kolditz, J. Dijkstra, M. Wetzl, N. Voormolen, and J. van der Hage. “Assessing Accurate Placement of Non-Wire Localization Markers in Non- Palpable Breast Tumors Using Breast CT: A Technical Note.” In: Journal of Radiology and Clinical Imaging 7.2 (2024), pp. 20–25. doi: 10.26502/jrci.2809092. [5] J. Weber, G. Zanetti, E. Nikolova, T. Frauenfelder, A. Boss, J. Wieler, and M. Marcon. “Potential of non-contrast spiral breast CT to exploit lesion density and favor breast cancer detection: A pilot study”. In: European Journal of Radiology (July 2024), p. 111614. issn: 0720-048X. doi: 10.1016/j.ejrad.2024.111614. [6] M. Wetzl, T. Heilingbrunner, F. Heindl, E. Wenkel, M. Uder, and S. Ohlmeyer. “Detectability of Breast Cancer in Dedicated Breast CT Compared With Mammography Dependent on Breast Density”. In: Investigative Radiology (July 2024). issn: 0020-9996. doi: 10.1097/RLI.0000000000001105. [7] E. Formaz, C. Schmidt, N. Berger, A. L. Schönenberger, J. Wieler, T. Frauenfelder, A. Boss, and M. Marcon. “Dedicated breast computed-tomography in women with a personal history of breast cancer: A proof-of-concept study”. In: European Journal of Radiology 158 (2023), p. 110632. doi: 10.1016/j.ejrad.2022.110632. [8] D. Kolditz. “Brustuntersuchungen ohne Schmerzen”. In: inpact media Verlag, Leben mit Krebs – Prävention, Therapie, Genesung, Beilage im Magazin STERN, Oktober 2023 2 (2023). url: https://epaper.inpactmedia.com/de/profiles/434ff880f16c-inpact-media/editions/leben-mit-krebs-praevention-therapie-genesung-1023/pages/page/4. [9] A. Landsmann, C. Ruppert, K. Borkowski, P. Hejduk, A. Ciritsis, J. Wieler, C. Rossi, and A. Boss. “Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle”. In: Clinical Imaging 95 (2023), pp. 28–36. doi: 10.1016/j.clinimag.2022.12

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[10] L. Schmidlin. “Die Mamma-Computertomografie nu:view - Eine Innovation in der Mamma-diagnostik”. Diploma Thesis. BZG Bildungszentrum Gesundheit Basel-Stadt, Bildungsgang MTR, Basel, Switzerland, 2023. [11] S. Shim, J. Unkelbach, A. Landsmann, and A. Boss. “Quantitative Study on the Breast Density and the Volume of the Mammary Gland According to the Patient’s Age and Breast Quadrant”. In: Diagnostics 13.21 (Oct. 2023), p. 3343. ISSN: 2075-4418. doi: 10.3390/diagnostics13213343. [12] S. Shim, D. Kolditz, C. Steiding, V. Ruth, A. M. Hoetker, J. Unkelbach, and A. Boss. “Radiation dose estimates...

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[22] M. Wetzl, M. Dietzel, S. Ohlmeyer, M. Uder, and E. Wenkel. “Spiral breast computed tomography with a photon-counting detector (SBCT): The future of breast imaging?” In: European Journal of Radiology 157 (2022), p. 110605. doi: 10.1016/j.ejrad.2022. 110605. [23] A. Boss. “Breast CT in women with breast implants”. In: DI Europe 37.2 (June 2021), pp. 16-18. URL: https://www.dieurope.com/site/wp-content/uploads/2021/ 06/Andreas-Boss-Breast-CT-AB-CT-DIE-June-2021.pdf. [24] M. Wetzl, E. Wenkel, E. Balbach, E. Dethlefsen, A. Hartmann, J. Emons, C. Kuhl, M. W. Beckmann, M. Uder, and S. Ohlmeyer....

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[33] V. Ruth. “Spezielle Anwendungen in der dedizierten Computertomographie”. PhD thesis. Institute of Medical Physics, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Germany, 2020. URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/ index/docId/14237. [34] V. Ruth, D. Kolditz, C. Steiding, and W. A. Kalender. “Investigation of spectral performance for single-scan contrast-enhanced breast CT using photon-counting technology: A phantom study”. In: Medical Physics 47.7 (2020), pp. 2826-2837. doi: 10.1002/mp. 14133. [35] S. Schmidt. “Investigation and Implementation of Visualization...

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J. D. Kuttig. “Bildqualitätsuntersuchungen verschiedener Detektortechnologien für die dediziert Brust-CT”. PhD thesis. Institute of Medical Physics, Friedrich-AlexanderUniversity Erlangen-Nürnberg, Erlangen, Germany, 2015. J. D. Kuttig, C. Steiding, D. Kolditz, M. Hupfer, M. Karolczak, and W. A. Kalender. “Comparative investigation of the detective quantum efficiency of direct and indirect conversion detector technologies in dedicated breast CT”. In: Physica Medica 31.4 (2015), pp. 406–413. doi: 10.1016/j.ejmp.2015.03.007. A. C. Rössler, E. Wenkel, F. Althoff, and W. Kalender. “The influence...

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[58] A. P. Peetz. “Steuerungskonzept fur einen dedizierten Brust-CT-Scanner”. PhD thesis. Institute of Medical Physics, Friedrich-Alexander-University Erlangen-Nurnberg, Erlangen, Germany, 2013. [59] M. Beister, D. Kolditz, and W. A. Kalender. “Iterative reconstruction methods in X-ray CT”. In: Physica Medica - European Journal of Medical Physics 28 (2012), pp. 94-108. doi: 10.1016/j.ejmp.2012.01.003. [60] W. Chen, D. Kolditz, M. Beister, R. Bohle, and W. A. Kalender. “Fast on-site Monte Carlo tool for dose calculations in CT applications”. In: Med. Phys. 36.6 (2012), pp. 2985 -2996. doi: 10.1118/1.4711748....

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