Radiomics-Based Detection of Germ Cell Neoplasia In Situ Using Volumetric ADC and FA Histogram Features: A Retrospective Study
Radiomics features derived from volumetric ADC and FA histograms have promising potential to differentiate TGCTs, GCNIS, and normal testicular tissue, aiding early detection and characterization of pre-cancerous lesions.
Authors
- Maria Veatriki Christodoulou (ORCID: https://orcid.org/0000-0001-9358-9480)
- Athina C. Tsili (ORCID: https://orcid.org/0000-0003-2762-6268)
- Evangeli Lampri (ORCID: https://orcid.org/0000-0002-8633-7135)
- Maria I. Argyropoulou (ORCID: https://orcid.org/0000-0001-7236-3706)
- Ourania Pappa
- Loukas G. Astrakas (ORCID: https://orcid.org/0000-0002-4890-4805)
- N. Sofikitis
- Thanos Paliouras
Institutions
- University of Ioannina (GR)
Publication Details
- Journal
- Cancers
- Published
- 2025-10-02
- DOI
- https://doi.org/10.3390/cancers17193220
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36