Voxel-based dosimetry for predicting treatment response to transarterial radioembolization in hepatocellular carcinoma: significance of intratumoral dose distribution
Minseok Suh, Keon Min Kim, Jin Woo Choi, Jae Sung Lee, Jin Chul Paeng, Hyo-Cheol Kim · 2025
Read Voxel-based dosimetry for predicting treatment response to transarterial radioembolization in hepatocellular carcinoma: significance of intratumoral dose distribution by Minseok Suh, Keon Min Kim, Jin Woo Choi, Jae Sung Lee, Jin Chul Paeng, Hyo-Cheol Kim (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-12824089.txt.
Description
Minseok Suh and co-authors test whether detailed dose maps can predict how liver tumors respond to a radiation treatment. The treatment sends tiny glass beads with a radioactive tracer into the tumor's blood supply. Their 2025 study maps the dose voxel by voxel, so each small cube of the tumor gets its own value. Records came from 90 patients treated from late 2015 to late 2019.
Of the 90 patients, 57 had a complete response. Several dose measures split the responders from the rest. One measure, the dose reached by most of the tumor, predicted response with strong accuracy. Uneven dose spread also tracked with outcome. The team argues that how dose is spread inside a tumor matters, not just the average dose.
Catalog record
| CREATOR | Minseok Suh, Keon Min Kim, Jin Woo Choi, Jae Sung Lee, Jin Chul Paeng, Hyo-Cheol Kim |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |