Radiomics Analyses to Predict Histopathology in Patients with Metastatic Testicular Germ Cell Tumors before Post-Chemotherapy Retroperitoneal Lymph Node Dissection.
Anna ScavuzzoGiovanni PasiniElisabetta CrescioMiguel Angel Jimenez-RiosPavel Figueroa-RodriguezAlbert ComelliGiorgio Ivan RussoIvan Calvo VazquezSebastian Muruato AraizaDavid Gomez OrtizDelia Perez MontielAlejandro Lopez SaavedraAlessandro StefanoPublished in: Journal of imaging (2023)
The presented CT-based radiomics model can potentially serve as a non-invasive tool to predict histopathological outcomes, differentiating among fibrosis/necrosis, teratoma, and viable tumor in metastatic non-seminomatous TGCT before PC-RPLND. It has the potential to be considered a promising tool to mitigate the risk of over- or under-treatment in young patients, although multi-center validation is critical to confirm the clinical utility of the proposed radiomics workflow.
Keyphrases
- germ cell
- contrast enhanced
- lymph node metastasis
- end stage renal disease
- computed tomography
- magnetic resonance imaging
- small cell lung cancer
- ejection fraction
- chronic kidney disease
- squamous cell carcinoma
- prognostic factors
- prostate cancer
- lymph node
- robot assisted
- magnetic resonance
- rectal cancer
- locally advanced
- metabolic syndrome
- radiation therapy
- early stage
- dual energy
- middle aged
- positron emission tomography
- skeletal muscle
- risk assessment
- human health