Machine learning in automatic detection of chordoma signature, postoperative residuals, and prognosis of skull base chordomas
Daniela Stastna, Richard Mannion, Robert Macfarlane, Patrick Axon, Neil Donnelly, James R. Tysome, Daniele Borsetto, Ryan Chrenek, Kaasinath Balagurunath, Wenya Linda Bi, Carleton E. Corrales, Ossama Al-Mefty, Timothy Smith, Ari Ercole, Jonathan Coles · 2026
Read Machine learning in automatic detection of chordoma signature, postoperative residuals, and prognosis of skull base chordomas by Daniela Stastna, Richard Mannion, Robert Macfarlane, Patrick Axon, Neil Donnelly, James R. Tysome, Daniele Borsetto, Ryan Chrenek, Kaasinath Balagurunath, Wenya Linda Bi, Carleton E. Corrales, Ossama Al-Mefty, Timothy Smith, Ari Ercole, Jonathan Coles (2026) 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-13661533.txt.
Description
Daniela Stastna led a 2026 dual-center study that trained machine-learning models on MRI pattern analysis to tackle three hard problems in skull base chordoma care. These rare, locally invasive tumors mimic cartilage tumors on imaging, hide among post-treatment changes after surgery, and recur often, yet no noninvasive tool addressed all three tasks together. The team studied sixty-one patients operated on between 1998 and 2023, using pre-surgery contrast MRI with nested cross-checks.
Gradient boosting reached 90 percent accuracy separating chordoma from cartilage tumors and background, 91 percent for telling true residual tumor from treatment change, and 87 percent for two-year survival without progression. A neural network performed similarly, slightly better on survival at 93 percent. Clinicians get a candidate tool for pre-surgery assessment, post-surgery watch, and risk grouping, with future validation needed given the small, varied cohort.
Catalog record
| CREATOR | Daniela Stastna, Richard Mannion, Robert Macfarlane, Patrick Axon, Neil Donnelly, James R. Tysome, Daniele Borsetto, Ryan Chrenek, Kaasinath Balagurunath, Wenya Linda Bi, Carleton E. Corrales, Ossama Al-Mefty, Timothy Smith, Ari Ercole, Jonathan Coles |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 35 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |