New diagnostic methods and novel therapeutic agents spawn additional and heterogeneous in-formation, leading to an increasingly complex decision-making process for optimal treatment of cancer. A great amount of information is collected in organ-specific multidisciplinary tumor boards (MDTBs). By considering the patient’s tumor properties, molecular pathological test re-sults, and comorbidities, the MDTB has to consent an evidence-based treatment decision. Im-munotherapies are increasingly important in today’s cancer treatment, resulting in detailed in-formation that influences the decision-making process. Clinical decision support systems can fa-cilitate a better understanding via processing of multiple datasets of oncological cases and mo-lecular genetic information, potentially fostering transparency and comprehensibility of available information, eventually leading to an optimum treatment decision for the individual patient. We constructed a digital patient model based on Bayesian networks to combine the relevant pa-tient-specific and molecular data with depended probabilities derived from pertinent studies and clinical guidelines to calculate treatment decisions in head and neck squamous cell carcinoma (HNSCC). In a validation analysis, the model can provide guidance within the growing subject of immunotherapy in HNSCC and, based on its ability to calculate reliable probabilities, facilitates estimation of suitable therapy options. We compared actual treatment decisions of 25 patients with the calculated recommendations of our model and found significant concordance (Cohen’s κ=0.505, p=0.009) and 84% accuracy.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:94338 |
| Date | 05 November 2024 |
| Creators | Hühn, Marius |
| Contributors | Universität Leipzig |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | German |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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