CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma.
Marc A AttiyehJayasree ChakrabortyCaitlin A McIntyreRajya KappagantulaYuting ChouGokce AskanKenneth SeierMithat GonenOlca BasturkVinod P BalachandranT Peter KinghamMichael I D'AngelicaJeffrey A DrebinWilliam R JarnaginPeter J AllenChristine A Iacobuzio-DonahueAmber L SimpsonRichard Kinh Gian DoPublished in: Abdominal radiology (New York) (2020)
In this study, we demonstrate that in PDAC SMAD4 status and tumor stromal content can be predicted using radiomic analysis of preoperative CT imaging. These data show an association between resectable PDAC imaging features and underlying tumor biology and their potential for future precision medicine.
Keyphrases
- contrast enhanced
- high resolution
- computed tomography
- image quality
- bone marrow
- dual energy
- magnetic resonance imaging
- patients undergoing
- positron emission tomography
- epithelial mesenchymal transition
- magnetic resonance
- squamous cell carcinoma
- lymph node metastasis
- risk assessment
- transforming growth factor
- locally advanced
- big data
- artificial intelligence
- liver metastases
- mass spectrometry
- human health
- climate change
- fluorescence imaging
- photodynamic therapy
- rectal cancer
- deep learning