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

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

  • By

  • Md Ashraful Alam

  • Shouhei Hanaoka

  • Yukihiro Nomura

  • Tomohiro Kikuchi

  • Takahiro Nakao

  • Tomomi Takenaga

  • Naoto Hayashi

  • Takeharu Yoshikawa

  • Osamu Abe

  • January 5, 2024

  • 0 min

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  • 1

    The study aims to enhance tumor detection in 18F-FDG-PET by normalizing liver SUV based on blood test data.

  • 2

    Clinical variables from liver function tests significantly influence hepatic FDG absorption and tumor identification.

  • 3

    A machine learning-based method was developed to create personalized normalized Z-score maps for liver SUV.

  • 4

    The study included 7,749 PET/CT cases, with 13 identified as abnormal, focusing on localized mass-like lesions.

  • 5

    The proposed normalization method aims to improve diagnostic accuracy and standardization in detecting hepatic masses.

Original Source(s)

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

  • by Md Ashraful Alam, Shouhei Hanaoka, Yukihiro Nomura, Tomohiro Kikuchi, Takahiro Nakao, Tomomi Takenaga, Naoto Hayashi, Takeharu Yoshikawa, Osamu Abe

  • January 5, 2024

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