RE: Article22 Aug 2024 17:12
Hello all,
This article has shown up as Kathleen Schmainda is one of the authors.
Deep Learning Segmentation of Infiltrative and Enhancing Cellular Tumor on Pre- and Posttreatment Multishell Diffusion MRI of Glioblastoma.
Radiology: Artificial Intelligence. 2024 Aug 21:e230489.
doi: 10.1148/ryai.230489. Online ahead of print.
Authors
Louis Gagnon 1 , Diviya Gupta 1 , George Mastorakos 1 , Nathan White 1 , Vanessa Goodwill 1 , Carrie R McDonald 1 , Thomas Beaumont 1 , Christopher Conlin 1 , Tyler M Seibert 1 , Uyen Nguyen 1 , Jona Hattangadi-Gluth 1 , Santosh Kesari 1 , Jessica D Schulte 1 , David Piccioni 1 , Kathleen M Schmainda 1 , Nikdokht Farid 1 , Anders M Dale 1 , Jeffrey D Rudie 1
“ Purpose To develop and validate a deep learning (DL) method to detect and segment enhancing and nonenhancing cellular tumor on pre- and posttreatment MRI scans of patients with glioblastoma and to predict overall survival (OS) and progression-free survival (PFS).
Conclusion A DL model incorporating advanced imaging could accurately segment enhancing and nonenhancing cellular tumor, classify recurrent/residual tumor from posttreatment changes, and predict OS and PFS in patients with glioblastoma. ©RSNA, 2024”.
Here is the link:
https://pubmed.ncbi.nlm.nih.gov/39166970/
Cheers
Shrek