Publications by authors named "M C Sievert"

In this study, long-term survivors of head and neck cancer (HNC) were evaluated regarding their symptom burden and quality of life (QoL). This prospective study was performed during the regular follow-up consultations at one of Germany's largest tertiary referral centers for HNC. The assessment included demographic, clinical, and oncological data, as well as the MIDOS(2) and the University of Washington Quality of Life Questionnaire (UW QoL) questionnaires.

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Background: Artemisinin partial resistance (ART-R) has spread throughout Southeast Asia and mutations in , the molecular marker of resistance, are widely reported in East Africa. Effective assays and robust phenotypes are crucial for monitoring populations for the emergence and spread of resistance. The recently developed extended Recovery Ring-stage Survival Assay used a qPCR-based readout to reduce the labor intensiveness for phenotyping of ART-R and improved correlation with the clinical phenotype of ART-R.

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Confocal laser endomicroscopy (CLE) represents an emerging probe-based intraoperative optical imaging modality, contingent on differential fluoroscein uptake, equipped to improve intraoperative identification of subclinical mucosal disease. In the analysis herein, we describe improved sensitivity, compared to narrow band imaging and small-volume tissue biopsies, of CLE in the discrimination of occult disease based on cellular and subcellular morphology during endoscopic resection of early-staged larynx cancers. Laryngoscope, 2024.

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Article Synopsis
  • Artemisinin partial resistance (ART-R) has been detected in eastern Africa, prompting the need for ongoing monitoring of artemisinin susceptibility in malaria parasites.
  • Traditional methods like the ring-stage survival assay (RSA) rely on microscopy, which is slow and subjective, while the new extended recovery ring-stage survival assay (eRRSA) uses qPCR for better efficiency and has proven effective on cultured clones.
  • A study comparing both methods on 122 fresh isolates from Uganda showed strong correlations between results, with eRRSA offering a more scalable and effective approach to identifying resistance in malaria strains.
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