Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies
Oguz Akin, Alfonso Lema-Dopico, Ramesh Paudyal, Amaresha Shridhar Konar, Thomas L. Chenevert, Dariya Malyarenko, Lubomir Hadjiiski, Hikmat Al-Ahmadie, Alvin C. Goh, Bernard Bochner, Jonathan Rosenberg, Lawrence H. Schwartz, Amita Shukla-Dave · 2023
Read Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies by Oguz Akin, Alfonso Lema-Dopico, Ramesh Paudyal, Amaresha Shridhar Konar, Thomas L. Chenevert, Dariya Malyarenko, Lubomir Hadjiiski, Hikmat Al-Ahmadie, Alvin C. Goh, Bernard Bochner, Jonathan Rosenberg, Lawrence H. Schwartz, Amita Shukla-Dave (2023) 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-10670574.txt.
Description
Twelve authors, led by Oguz Akin, review magnetic resonance imaging for bladder cancer care in this 2023 paper. Bladder MRI now reports several measures at once, and numbers drawn from the scans, called quantitative biomarkers, guide staging, outlook, and judging treatment response.
To make readings uniform, experts built VI-RADS, a scoring system for bladder MRI. It combines plain anatomy scans with two functional views: diffusion imaging and contrast-enhanced imaging. Studies show readers agree closely under the system, and its scores separate tumors that invade muscle from those that do not. That split drives major treatment choices. The review then covers how artificial intelligence is entering the field, from scan reading aids to response prediction. The authors frame standardized MRI as a base for smarter, more personal bladder cancer care.
Catalog record
| CREATOR | Oguz Akin, Alfonso Lema-Dopico, Ramesh Paudyal, Amaresha Shridhar Konar, Thomas L. Chenevert, Dariya Malyarenko, Lubomir Hadjiiski, Hikmat Al-Ahmadie, Alvin C. Goh, Bernard Bochner, Jonathan Rosenberg, Lawrence H. Schwartz, Amita Shukla-Dave |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |