@phdthesis{Vogg2023,
  author    = {Vogg, Nora Johanna},
  title     = {Mass spectrometry-based quantification of steroids for the diagnostic workup of adrenal tumors},
  doi       = {10.25972/OPUS-29343},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-293438},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2023},
  abstract  = {Tumors of the adrenal gland belong to the most frequent neoplasms in humans with a prevalence of 3-10 \% in adults. The aim of the diagnostic workup is the identification of potentially hormone-secreting and / or malignant tumors, because most of these tumors will require surgical resection. Malignant adrenocortical carcinomas (ACC) are very rare and associated with a poor prognosis in advanced stages, therefore, an early and accurate diagnosis is crucial. Within this thesis, two liquid chromatography tandem mass spectrometry (LC-MS/MS) methods for the quantification of steroids in different biomaterials were developed to improve the diagnostic workup of adrenal tumors. First, an LC-MS/MS method for the simultaneous quantification of cortisol and dexamethasone in serum samples after dexamethasone suppression test (DST) was developed, validated, and applied to 400 clinical samples. Newly established method-specific threshold concentrations for cortisol and dexamethasone increased DST specificity from 67.5 \% to 92.4 \% while preserving 100 \% sensitivity. Second, an LC-MS/MS method for the quantification of eleven urinary steroids was developed and validated to improve the differentiation between ACC and adrenocortical adenomas (ACA). A decision tree requiring only two steroids was trained for classification and tested based on 24 h urine samples from 268 patients with adrenal tumor. Malignancy was excluded with a negative predictive value of 100 \% in an independent validation cohort of 84 samples of 24-h urine. A newly proposed simplified diagnostic workflow with urinary steroid profiling as first tier test could obviate additional adrenal-specific imaging in 42 of 64 patients with ACA. The new DST method is already in clinical use at the University Hospital W{\"u}rzburg, whereas the classification model based on urinary steroid profiling will require prospective validation in a larger cohort.},
  subject      = {Nebennierentumor},
  language  = {en}
}