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Bildgebende Diagnostik und der Einsatz von künstlicher Intelligenz beim Management von Organmetastasen

Diagnostic imaging and the use of artificial intelligence in the management of organ metastasis

Die Onkologie volume 29, pages 182–191 (2023)Cite this article

Zusammenfassung

Die diagnostische Bildgebung spielt eine Schlüsselrolle bei der Erkennung des Primärtumors und möglicher Metastasen. Nach den aktuellen Leitlinien wird zu diesem Zweck die kontrastverstärkte Computertomographie (CT) eingesetzt sowie die Magnetresonanztomographie (MRT) als ergänzende Methode zur Beurteilung von Strukturen wie z. B. des Gehirns. Insbesondere die Differenzierung von Differenzialdiagnosen ist eine tägliche Herausforderung für die Radiologie. Der Einsatz von künstlicher Intelligenz (KI) zur Optimierung von Arbeitsabläufen, zur Unterstützung der Bildbefundung und zur Beurteilung des Therapieergebnisses im Hinblick auf die therapeutische Relevanz ist dringend erforderlich. Radiomics bezeichnet die computergestützte Extraktion und Analyse einer großen Anzahl von Merkmalen aus radiologischen Bildern mithilfe von KI. Zahlreiche Studien haben gezeigt, dass Radiomics die Entdeckung von bildgebenden Biomarkern für die Vorhersage von Behandlungsergebnissen bei Krebspatienten erleichtert. In diesem Zusammenhang ist eine interdisziplinäre Zusammenarbeit unerlässlich.

Abstract

Diagnostic imaging plays a significant role in detecting primary tumours and potential metastases. According to the current guidelines, contrast-enhanced computed tomography (CE-CT) is used for this purpose, with magnetic resonance imaging (MRI) as a complementary method for assessing anatomical structures like the brain. However, differential diagnosis is a daily challenge for radiologists. The use of artificial intelligence (AI) to optimise workflows, support image reporting and assess therapy outcomes in terms of therapeutic relevance is imperative. Radiomics refers to the computer-assisted extraction and analysis of a large number of quantitative features from radiological images using AI. Numerous studies have shown that radiomics facilitates the discovery of imaging biomarkers for outcome prediction in cancer patients. Interdisciplinary collaboration is essential in this context.

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    Nithya Bhasker & Stefanie Speidel

  2. Institut und Poliklinik für Diagnostische und Interventionelle Radiologie, Medizinische Fakultät Carl Gustav Carus an der TU Dresden, Dresden, Deutschland

    Felix Schön & Jens Peter Kühn

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Bhasker, N., Schön, F., Kühn, J.P. et al. Bildgebende Diagnostik und der Einsatz von künstlicher Intelligenz beim Management von Organmetastasen. Onkologie 29, 182–191 (2023). https://doi.org/10.1007/s00761-022-01282-w

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