Applying Radiomics to Predict Outcomes in Patients with High-Grade Retroperitoneal Sarcoma Treated with Preoperative Radiotherapy
Adel Shahnam, Nicholas Hardcastle, David E Gyorki, Katrina M Ingley, Krystel Tran, Catherine Mitchell, Sarat Chander, Julie Chu, Michael Henderson, Alan Herschtal, Mathias Bressel, Jeremy Lewin, William E Higgins · 2025
Read Applying Radiomics to Predict Outcomes in Patients with High-Grade Retroperitoneal Sarcoma Treated with Preoperative Radiotherapy by Adel Shahnam, Nicholas Hardcastle, David E Gyorki, Katrina M Ingley, Krystel Tran, Catherine Mitchell, Sarat Chander, Julie Chu, Michael Henderson, Alan Herschtal, Mathias Bressel, Jeremy Lewin, William E Higgins (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12733741.txt.
Description
Adel Shahnam and co-authors tested in 2025 whether texture measures from CT scans can sharpen survival forecasts for a rare belly tumor treated with radiation before surgery. Retroperitoneal sarcoma comes back often, and plain clinical factors predict poorly. The team mined twenty-seven texture features from scans of seventy-two patients treated between 2008 and 2016.
Age, tumor grade, and tumor size each predicted worse survival on their own. In the highest-risk group, two texture measures lifted forecast accuracy clearly above the clinical model alone. One of them also improved forecasts of spread to distant sites. The authors stress the work is exploratory and small. They call for larger, multi-center studies to confirm the gain.
Catalog record
| CREATOR | Adel Shahnam, Nicholas Hardcastle, David E Gyorki, Katrina M Ingley, Krystel Tran, Catherine Mitchell, Sarat Chander, Julie Chu, Michael Henderson, Alan Herschtal, Mathias Bressel, Jeremy Lewin, William E Higgins |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 32 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |