Showing results (1-10 of 11) with videos related to
Sort By:
Pageof 2
Current Oncology (Toronto, Ont.)|October 27, 2022
Health Behavior and Cancer Prevention among Adults with Li-Fraumeni Syndrome and Relatives in Germany-A Cohort DescriptionJuliane Nees, Senta Kiermeier, Farina Struewe, et al.Archives of Gynecology and Obstetrics|January 10, 2026
App supporting surveillance for (likely) pathogenic TP53 variant carriers: acceptance among a German cohortJuliane Nees, Senta Kiermeier, Farina Silchmueller, et al.Radiologie (Heidelberg, Germany)|September 27, 2022
[Li-Fraumeni syndrome]Myriam Keymling, Heinz-Peter Schlemmer, Christian Kratz, et al.Journal of Genetic Counseling|November 28, 2025
Psychosocial burdens and unmet supportive care needs of partners and relatives of individuals with Li-Fraumeni syndrome: A mixed-methods studySenta Kiermeier, Sarah Schott, Juliane Nees, et al.Journal of Genetic Counseling|February 13, 2024
Health-related quality of life and fear of progression in individuals with Li-Fraumeni syndromeSenta Kiermeier, Sarah Schott, Juliane Nees, et al.Frontiers in Psychology|March 4, 2026
A brief feasibility report on an online psychosocial support intervention for adults with Li-Fraumeni syndromeSenta Kiermeier, Christina Sauer, Madeleine Helaß, et al.Frontiers in Neuroscience|July 5, 2023
First application of dynamic oxygen-17 magnetic resonance imaging at 7 Tesla in a patient with early subacute strokeLouise Ebersberger, Fabian J Kratzer, Arne Potreck, et al.European Journal of Radiology|August 28, 2023
Are T2WI PI-RADS sub-scores of transition zone prostate lesions biased by DWI information? A multi-reader, single-center studyKevin Sun Zhang, Philipp Mayer, Philip Alexander Glemser, et al.JNCI Cancer Spectrum|January 28, 2025
Cancer risk in carriers of TP53 germline variants grouped into different functional categoriesLucas John Müntnich, Christina M Dutzmann, Anika Großhennig, et al.Investigative Radiology|April 25, 2022
Pseudoprospective Paraclinical Interaction of Radiology Residents With a Deep Learning System for Prostate Cancer Detection: Experience, Performance, and Identification of the Need for Intermittent RecalibrationKevin Sun Zhang, Patrick Schelb, Nils Netzer, et al.Pageof 2