Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI
Clemens P Spielvogel, Jing Ning, Kilian Kluge, David Haberl, Gabriel Wasinger, Josef Yu, Holger Einspieler, Laszlo Papp, Bernhard Grubmüller, Shahrokh F Shariat, Pascal A T Baltzer, Paola Clauser, Markus Hartenbach, Lukas Kenner, Marcus Hacker, Alexander R Haug, Sazan Rasul · 2024
Read Preoperative detection of extraprostatic tumor extension in patients with primary prostate cancer utilizing [68Ga]Ga-PSMA-11 PET/MRI by Clemens P Spielvogel, Jing Ning, Kilian Kluge, David Haberl, Gabriel Wasinger, Josef Yu, Holger Einspieler, Laszlo Papp, Bernhard Grubmüller, Shahrokh F Shariat, Pascal A T Baltzer, Paola Clauser, Markus Hartenbach, Lukas Kenner, Marcus Hacker, Alexander R Haug, Sazan Rasul (2024) 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-11638435.txt.
Description
Clemens Spielvogel and co-authors use smart models to spot prostate tumors that have broken out of the gland before surgery in a 2024 study. Surgeons who spare the nerves near the gland give men a better life after, but that plan fails if the tumor has spread past the edge. Scans alone miss such spread too often.
The team trained models on scan traits, blood marks, tissue facts, and age facts for 107 men. Their best model scored 0.88 on a standard grade in both tuning and fresh tests. Human scan reads scored far lower on the same men. Such tools could help surgeons pick who can safely keep the nerve-sparing plan.
Catalog record
| CREATOR | Clemens P Spielvogel, Jing Ning, Kilian Kluge, David Haberl, Gabriel Wasinger, Josef Yu, Holger Einspieler, Laszlo Papp, Bernhard Grubmüller, Shahrokh F Shariat, Pascal A T Baltzer, Paola Clauser, Markus Hartenbach, Lukas Kenner, Marcus Hacker, Alexander R Haug, Sazan Rasul |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 37 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |