Potential of Lesion‐to‐Fat Elasticity Ratio Measured by Shear Wave Elastography to Reduce Benign Biopsies in BI‐RADS 4 Breast Lesions

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Journal of Ultrasound in Medicine (42:8) - New York, NY : Wiley - S. 1729-1736

Event: Veröffentlichung

(where): Berlin

(who): Technische Universität Berlin

(when): 2023

Creator: Togawa, Riku
Pfob, André
Büsch, Christopher
Alwafai, Zaher
Balleyguier, Corinne
Clevert, Dirk‐André
Duda, Volker
Fastner, Sarah
Goncalo, Manuela
Gomez, Christina
Gruber, Ines
Hahn, Markus
Hennigs, André
Kapetas, Panagiotis
Nees, Juliane
Ohlinger, Ralf
Riedel, Fabian
Rutten, Matthieu
Schäfgen, Benedikt
Stieber, Anne
Tozaki, Mitsuhiro
Wojcinski, Sebastian
Rauch, Geraldine
Heil, Jörg
Barr, Richard
Golatta, Michael

DOI: 10.14279/depositonce-19071

Handle: 11303/20273

URN: urn:nbn:de:101:1-2023111501012540678471

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:46 PM CET

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Associated

Togawa, Riku
Pfob, André
Büsch, Christopher
Alwafai, Zaher
Balleyguier, Corinne
Clevert, Dirk‐André
Duda, Volker
Fastner, Sarah
Goncalo, Manuela
Gomez, Christina
Gruber, Ines
Hahn, Markus
Hennigs, André
Kapetas, Panagiotis
Nees, Juliane
Ohlinger, Ralf
Riedel, Fabian
Rutten, Matthieu
Schäfgen, Benedikt
Stieber, Anne
Tozaki, Mitsuhiro
Wojcinski, Sebastian
Rauch, Geraldine
Heil, Jörg
Barr, Richard
Golatta, Michael
Technische Universität Berlin

Time of origin

2023

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Potential of Lesion‐to‐Fat Elasticity Ratio Measured by Shear Wave Elastography to Reduce Benign Biopsies in BI‐RADS 4 Breast Lesions

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Other Objects (12)

Benign lesions of the esophagus and cancer : answers to 210 questions

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A lesion-level deep learning approach to predicting enhancing lesions from non-enhanced images in Multiple Sclerosis patients

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