Fig 1.
Algorithmic functionality of automated bone-VOI delineation and metastasis load quantification with EBONI in an exemplary patient with known osseous metastases of prostate cancer.
csv = comma-separated values; HC = healthy controls. This figure was originally published in JNM [10]. Hammes et al. EBONI: A Tool for Automated Quantification of Bone Metastasis Load in PSMA PET/CT. J Nucl Med. 2018 Jul;59(7):1070–1075 by the Society of Nuclear Medicine and Molecular Imaging, Inc.
Fig 2.
Exemplary PET dataset (a) and placement of VOIs (b,c). Red-dotted area was excluded from the analysis to avoid spillover into bone voxels caused by uptake in salivary and lacrimal glands.
Fig 3.
a) Average SUVs in unaffected bone tissue in 17 patients without bone metastases. b) SUVmean and SUVmax in a total of seven bone metastases in the group of patients with bone metastases.
Table 1.
Quantitative results in bone negative group. Average values and standard deviation.
Table 2.
Quantitative results in bone metastases.