Improved identification of tumors in 18F-FDG-PET examination by normalizing the standard uptake in the liver based on blood test data.

Md Ashraful Alam Shouhei Hanaoka Yukihiro Nomura Tomohiro Kikuchi Takahiro Nakao Tomomi Takenaga Naoto Hayashi Takeharu Yoshikawa Susumu Mori

Published in: International journal of computer assisted radiology and surgery (2024)

The Z-score normalizes the mean and standard deviation. It is effective in ROC curve analysis and increases the clarity of the abnormality. This normalization is a key technique for effective measurement of maximum glucose consumption by tumors in the liver.

Keyphrases

pet ct
positron emission tomography
pet imaging
computed tomography
electronic health record
blood glucose
big data
metabolic syndrome
bioinformatics analysis
machine learning