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Vol. 47. Issue S1.
2º Congresso CancerThera
(May 2025)
Vol. 47. Issue S1.
2º Congresso CancerThera
(May 2025)
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COMPARATIVE STABILITY OF CT-BASED BONE VOLUME QUANTIFICATION USING 18F-FDG AND 68GA-PSMA PET/CT IN MULTIPLE MYELOMA
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Alexandre Mercuri Barbosaa,b, Maria Emília Seren Takahashic,d, Edna Marina Souzab,d, Sérgio Querino Brunettob,d, Cármino Antonio de Souzad,e, Irene Gyongyver Heidemarie Lorand-Metzee, Celso Darío Ramosa,d
a Division of Nuclear Medicine, Faculdade de Ciências Médicas, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
b Centro de Engenharia Biomédica (CEB), Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
c Instituto de Física Gleb Wataghin, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
d Cancer Theranostics Innovation Center (CancerThera), Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
e Hemocentro, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
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Vol. 47. Issue S1

2º Congresso CancerThera

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Abstract
Introduction/Justification

Computed Tomography (CT) images obtained from hybrid nuclear medicine equipment have shown great potential for PET image segmentation. Previous studies in patients with Multiple Myeloma (MM) have demonstrated the feasibility of calculating bone volume (BV) from CT data in 18F-FDG PET/CT images. This segmentation technique allows for the extraction of variables such as mean Standardized Uptake Value (SUVmean), Percentage of Bone Involvement (PBI), and Intensity of Bone Involvement (IBI) across the entire skeleton. The aim of this study is to determine whether BV quantification based on CT Hounsfield units (HU) is stable across different radiotracers.

Objectives

To compare BV calculations from PET/CT scans using 18F-FDG and 68Ga-PSMA in patients with MM.

Materials and Methods

This study included 18F-FDG and 68Ga-PSMA PET/CT scans performed within a 1 to 8-day interval in 15 patients (53% male, mean age 66.7 ± 10.7 years) with biopsy- confirmed symptomatic MM. The study was approved by the local Ethics Committee (CAAE 91231918.0.0000.5404). BV was calculated using the Beth Israel plugin for PET image pre-segmentation, applying a threshold of HU > 100. The cropped PET images were converted to binary format using FIJI, followed by the application of a morphological closing image processing tool to include areas such as bone marrow within the binary contour. For 18F-FDG PET, the skull was excluded during pre-segmentation due to overlapping artifacts caused by cerebral uptake. Descriptive statistics were used to compare FDG and PSMA BV calculations for each patient, with individual percentage deviation assessed relative to the FDG-derived BV. The correlation between BV values was evaluated using Spearman's rank correlation coefficient (rₛ), with a significance level of p < 0.05.

Results

The average individual percentage deviation in BV between 18F-FDG PET/CT and 68Ga-PSMA PET/CT was 13 ± 3%, with a range of 7% to 20%. A strong positive correlation was observed between BV values (p = 3 × 10⁻¹⁰), with a very strong Spearman correlation coefficient (rₛ = 0.98).

Conclusion

Despite the exclusion of the skull in BV calculations for 18F-FDG, the results indicate a minimal decrease in BV compared to whole-skeleton BV derived from PSMA PET/CT. The very strong correlation between BV values for the two radiotracers suggests that the segmentation approach remains consistent across different PET tracers. Additionally, the proportional exclusion of the skull across patients supports the reliability of the method for BV quantification.

Keywords:
18F-FDG
68Ga-PSMA
Bone Volume Quantification
Multiple Myeloma
PET/CT imaging
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(6) [1] Division of Nuclear Medicine, School of Medical Sciences, Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil. [4] Cancer Theranostics Innovation Center (CancerThera), Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil. - CAMPINAS - SP - Brasil;

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