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- ItemCritical appraisal concerning “Wearable cardioverter defibrillators for the prevention of sudden cardiac arrest: A health technology assessment and patient focus group study”(Macclesfield [u.a.] : Dove Medical Press, 2018) Sperzel, Johannes; Staudacher, Ingo; Goeing, Olaf; Stockburger, Martin; Meyer, Thorsten; Oliveira Gonçalves, Ana Sofia; Sydow, Hanna; Schoenfelder, Tonio; Amelung, Volker Eric[no abstract available]
- ItemComments on the authors’ reply to the critical appraisal concerning “Wearable cardioverter defibrillators for the prevention of sudden cardiac arrest: A health technology assessment and patient focus group study”(Macclesfield [u.a.] : Dove Medical Press, 2018) Sperzel, Johannes; Staudacher, Ingo; Goeing, Olaf; Stockburger, Martin; Meyer, Thorsten; Oliveira Goncalves, Ana Sofia; Sydow, Hanna; Schoenfelder, Tonio; Amelung, Volker Eric[no abstract available]
- ItemAccurate in vivo tumor detection using plasmonic-enhanced shifted-excitation Raman difference spectroscopy (SERDS)(Wyoming, NSW : Ivyspring, 2021) Strobbia, Pietro; Cupil-Garcia, Vanessa; Crawford, Bridget M.; Fales, Andrew M.; Pfefer, T. Joshua; Liu, Yang; Maiwald, Martin; Sumpf, Bernd; Vo-Dinh, TuanFor the majority of cancer patients, surgery is the primary method of treatment. In these cases, accurately removing the entire tumor without harming surrounding tissue is critical; however, due to the lack of intraoperative imaging techniques, surgeons rely on visual and physical inspection to identify tumors. Surface-enhanced Raman scattering (SERS) is emerging as a non-invasive optical alternative for intraoperative tumor identification, with high accuracy and stability. However, Raman detection requires dark rooms to work, which is not consistent with surgical settings. Methods: Herein, we used SERS nanoprobes combined with shifted-excitation Raman difference spectroscopy (SERDS) detection, to accurately detect tumors in xenograft murine model. Results: We demonstrate for the first time the use of SERDS for in vivo tumor detection in a murine model under ambient light conditions. We compare traditional Raman detection with SERDS, showing that our method can improve sensitivity and accuracy for this task. Conclusion: Our results show that this method can be used to improve the accuracy and robustness of in vivo Raman/SERS biomedical application, aiding the process of clinical translation of these technologies. © The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.