Radiomics-driven spectral profiling of six kidney stone types with monoenergetic CT reconstructions in photon-counting CT
Question How can photon-counting computed tomography (PCCT) combined with radiomics improve the differentiation of kidney stone types beyond conventional CT and dual-energy CT, enhancing personalized therapy? Findings Our ex vivo study demonstrates that a combined spectral-driven radiomics model achieved 95% AUC and 81% test accuracy in differentiating six kidney stone types. Clinical relevance Implementing PCCT-based spectral-driven radiomics allows for precise non-invasive differentiation of kidney stone types, leading to improved diagnostic accuracy and more personalized, effective treatment strategies, potentially reducing the need for invasive procedures and recurrence.
Authors
- Stephan Waldeck (ORCID: https://orcid.org/0000-0002-3097-4805)
- Matthias Frank Froelich (ORCID: https://orcid.org/0000-0001-8501-2147)
- Alexander Hertel (ORCID: https://orcid.org/0000-0002-5438-1887)
- Dominik Nörenberg (ORCID: https://orcid.org/0000-0001-7726-9006)
- Markus Jürgens
- Tim Nestler (ORCID: https://orcid.org/0000-0001-6033-6364)
- Bernhard T. Schmidt (ORCID: https://orcid.org/0000-0001-5894-6374)
- Sebastian Faby (ORCID: https://orcid.org/0000-0003-0694-9375)
- Daniel Overhoff (ORCID: https://orcid.org/0000-0001-5881-4769)
- Abhinay Vellala
- Stefan Oswald Schoenberg (ORCID: https://orcid.org/0000-0002-3115-8367)
- Hans Schmelz
- Albrecht Hesse
- R Stoll
Institutions
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University Hospital Cologne (DE)
- Siemens Healthineers (Germany) (DE)
- University Medical Centre Mannheim (DE)
- Bundeswehrzentralkrankenhaus Koblenz (DE)
Publication Details
- Journal
- European Radiology
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1007/s00330-024-11262-w
- Citations
- 5
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.92
Funders
- Siemens Healthineers