Monte Carlo-Derived 99m TC Uptake Quantification With Commercial Planar MBI: Absolute Tumor Activity

Authors

Benjamin P Lopez
Srinivas Cheenu Kappadath

Publication Date

5-1-2023

Journal

Medical Physics

Abstract

BACKGROUND: Molecular breast imaging (MBI) of 99mTc-sestamibi is an emerging adjunct qualitative tool in the detection and diagnosis of breast cancer.

PURPOSE: This work outlines the development and performance evaluation of a methodology to absolutely quantify tumor 99mTc activity uptake using a commercially available dual-headed MBI system by implementing corrections for background, scatter, attenuation, and detector characteristics.

METHODS: A validated Monte Carlo application of a commercial MBI system was used to simulate over 7000 unique acquisitions of spherical and ellipsoidal tumors in breast tissue. Tumor absolute activity was calculated following background, scatter, and attenuation corrections of tumor region of interest counts. The methodology was first optimized using a set of high-uptake spherical tumors, and its accuracy and precision was then assessed in a set of spherical tumors with clinical uptake conditions. Finally, the performance of the activity methodology was evaluated under various bias and uncertainty conditions to better characterize the technique under expected clinical measurement conditions.

RESULTS: In a test set of images with clinically relevant contrast and noise conditions, the mean ± standard deviation relative error in total tumor activity was 0.5% ± 6.5% (n = 2363) under ideal measurement conditions. Allowing for variability in tumor and background contours and in estimated tumor depths, the expected accuracy of the methodology in clinical practice was 0.5% ± 11.1% (n = 2363), with minimal loss of accuracy for ellipsoidal tumors.

CONCLUSIONS: Planar MBI photopeak images acquired with standard-of-care protocols can be used to accurately quantify absolute tumor 99mTc activity with an accuracy and precision of 0.5% ± 11.1%. The reported precision was based on a comprehensive evaluation of random errors and systematic biases.

Keywords

Humans, Female, Radionuclide Imaging, Breast Neoplasms, Technetium Tc 99m Sestamibi, Mammography, Phantoms, Imaging, Tomography, Emission-Computed, Single-Photon

Comments

PMID: 36583691