Correlations between [ 68 Ga]Ga-DOTA-TOC Uptake and Absorbed Dose from [ 177 Lu]Lu-DOTA-TATE
The aim of this paper was to investigate correlations between pre- therapeutic [ Ga]Ga-DOTA-TOC uptake and absorbed dose to tumours from therapy with [ Lu]Lu-DOTA-TATE. This retrospective study included 301 tumours from 54 GEP-NET patients. The tumours were segmented on pre-therapeutic [ Ga]Ga-DOTA-...
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Published in: | Cancers 2023-02, Vol.15 (4), p.1134 |
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Main Authors: | , , , , |
Format: | Article |
Language: | eng |
Subjects: | |
Online Access: | Get full text |
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Summary: | The aim of this paper was to investigate correlations between pre- therapeutic [
Ga]Ga-DOTA-TOC uptake and absorbed dose to tumours from therapy with [
Lu]Lu-DOTA-TATE.
This retrospective study included 301 tumours from 54 GEP-NET patients. The tumours were segmented on pre-therapeutic [
Ga]Ga-DOTA-TOC PET/CT, and post-therapy [
Lu]Lu-DOTA-TATE SPECT/CT images, using a fixed 40% threshold. The SPECT/CT images were used for absorbed dose calculations by assuming a linear build-up from time zero to day one, and mono-exponential wash-out after that. Both SUV
and SUV
were measured from the PET images. A linear absorbed-dose prediction model was formed with SUV
as the independent variable, and the accuracy was tested with a split 70-30 training-test set.
Mean SUV
and SUV
from [
Ga]Ga-DOTA-TOC PET was 24.0 (3.6-84.4) and 41.0 (6.7-146.5), and the mean absorbed dose from [
Lu]Lu-DOTA-TATE was 26.9 Gy (2.4-101.9). A linear relationship between SUV
and [
Lu]Lu-DOTA-TATE activity concentration at 24 h post injection was found (R
= 0.44,
< 0.05). In the prediction model, a root mean squared error and a mean absolute error of 1.77 and 1.33 Gy/GBq, respectively, were found for the test set.
There was a high inter- and intra-patient variability in tumour measurements, both for [
Ga]Ga-DOTA-TOC SUVs and absorbed doses from [
Lu]Lu-DOTA-TATE. Depending on the required accuracy, [
Ga]Ga-DOTA-TOC PET imaging may estimate the [
Lu]Lu-DOTA-TATE uptake. However, there could be a high variance between predicted and actual absorbed doses. |
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ISSN: | 2072-6694 2072-6694 |