Radiomics Analysis of Non-Enhancing Lesions After Bevacizumab Administration in Recurrent Glioblastoma

Takahiro Sanada, Takeshi Shimizu, Yoshiko Okita, Hideyuki Arita, Hirotaka Sato, Masato Saito, Nobuyuki Mitsui, Satoru Hiroshima, Kayako Isohashi, Mishie Tanino, Yonehiro Kanemura, Haruhiko Kishima, Manabu Kinoshita · 2025

Read Radiomics Analysis of Non-Enhancing Lesions After Bevacizumab Administration in Recurrent Glioblastoma by Takahiro Sanada, Takeshi Shimizu, Yoshiko Okita, Hideyuki Arita, Hirotaka Sato, Masato Saito, Nobuyuki Mitsui, Satoru Hiroshima, Kayako Isohashi, Mishie Tanino, Yonehiro Kanemura, Haruhiko Kishima, Manabu Kinoshita (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-12837343.txt.

Description

Takahiro Sanada and eleven co-authors hunt for image clues that reveal hidden tumor in treated brain cancer. Glioblastoma often returns after treatment, and one drug used against it makes tumors stop lighting up on scans even where cancer persists. Those dark regions are hard to judge. The team mined hundreds of numerical features from scans of twenty-four patients whose tumors changed under the drug, looking for features that mark the hidden cancer.

Dozens of features stood out. One texture feature from standard scans carried the model: it predicted the hidden tumor with high accuracy in the drug-treated group. Checked against a second group scanned with a special tracer, the same model did moderately well. Rebuilt images using the features also showed the hidden regions in newly diagnosed patients. The authors say such scan mining could help doctors judge treatment response where the eye cannot.

Catalog record

CREATORTakahiro Sanada, Takeshi Shimizu, Yoshiko Okita, Hideyuki Arita, Hirotaka Sato, Masato Saito, Nobuyuki Mitsui, Satoru Hiroshima, Kayako Isohashi, Mishie Tanino, Yonehiro Kanemura, Haruhiko Kishima, Manabu Kinoshita
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE22 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12837343

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